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github | cs1471/Modelling-master | reconSFpyrLevs.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/reconSFpyrLevs.m | 2,016 | utf_8 | ff83a4f3d2f0927dcaa8851535e6b20a | % RESDFT = reconSFpyrLevs(PYR,INDICES,LOGRAD,XRCOS,YRCOS,ANGLE,NBANDS,LEVS,BANDS)
%
% Recursive function for reconstructing levels of a steerable pyramid
% representation. This is called by reconSFpyr, and is not usually
% called directly.
% Eero Simoncelli, 5/97.
function resdft = reconSFpyrLevs(pyr,pind,log_rad,Xr... |
github | cs1471/Modelling-master | rcosFn.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/rcosFn.m | 1,122 | utf_8 | 36283e0a34f1baf7ea2c5e6cb23aab89 | % [X, Y] = rcosFn(WIDTH, POSITION, VALUES)
%
% Return a lookup table (suitable for use by INTERP1)
% containing a "raised cosine" soft threshold function:
%
% Y = VALUES(1) + (VALUES(2)-VALUES(1)) *
% cos^2( PI/2 * (X - POSITION + WIDTH)/WIDTH )
%
% WIDTH is the width of the region over which the tra... |
github | cs1471/Modelling-master | wpyrLev.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/wpyrLev.m | 729 | utf_8 | 77f309b76f98f3421e786fde4fe2d429 | % [LEV,IND] = wpyrLev(PYR,INDICES,LEVEL)
%
% Access a level from a separable QMF/wavelet pyramid.
% Return as an SxB matrix, B = number of bands, S = total size of a band.
% Also returns an Bx2 matrix containing dimensions of the subbands.
% Eero Simoncelli, 6/96.
function [lev,ind] = wpyrLev(pyr,pind,level)
if ((p... |
github | cs1471/Modelling-master | binomialFilter.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/binomialFilter.m | 309 | utf_8 | 47b67219b2519bd65a435f3df318d41a | % KERNEL = binomialFilter(size)
%
% Returns a vector of binomial coefficients of order (size-1) .
% Eero Simoncelli, 2/97.
function [kernel] = binomialFilter(sz)
if (sz < 2)
error('size argument must be larger than 1');
end
kernel = [0.5 0.5]';
for n=1:sz-2
kernel = conv([0.5 0.5]', kernel);
end
|
github | cs1471/Modelling-master | cconv2.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/cconv2.m | 1,325 | utf_8 | 8e564b623ba5cebd51e585eac6c66ba8 | % RES = CCONV2(MTX1, MTX2, CTR)
%
% Circular convolution of two matrices. Result will be of size of
% LARGER vector.
%
% The origin of the smaller matrix is assumed to be its center.
% For even dimensions, the origin is determined by the CTR (optional)
% argument:
% CTR origin
% 0 DIM/2 (defaul... |
github | cs1471/Modelling-master | reconSCFpyr.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/reconSCFpyr.m | 4,475 | utf_8 | a0a6a06af4b5c9f7aa195bb8188fc754 | % RES = reconSCFpyr(PYR, INDICES, LEVS, BANDS, TWIDTH)
%
% The inverse of buildSCFpyr: Reconstruct image from its complex steerable pyramid representation,
% in the Fourier domain.
%
% The image is reconstructed by forcing the complex subbands to be analytic
% (zero on half of the 2D Fourier plane, as they are supossed... |
github | cs1471/Modelling-master | buildSCFpyr.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/buildSCFpyr.m | 2,713 | utf_8 | d94b4004138b50b6651511e8ba6ccb93 | % [PYR, INDICES, STEERMTX, HARMONICS] = buildSCFpyr(IM, HEIGHT, ORDER, TWIDTH)
%
% This is a modified version of buildSFpyr, that constructs a
% complex-valued steerable pyramid using Hilbert-transform pairs
% of filters. Note that the imaginary parts will *not* be steerable.
%
% To reconstruct from this representati... |
github | cs1471/Modelling-master | showIm.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/showIm.m | 6,121 | utf_8 | 164e6e96cbe0317bfda1dc32ec341a62 | % RANGE = showIm (MATRIX, RANGE, ZOOM, LABEL, NSHADES )
%
% Display a MatLab MATRIX as a grayscale image in the current figure,
% inside the current axes. If MATRIX is complex, the real and imaginary
% parts are shown side-by-side, with the same grayscale mapping.
%
% If MATRIX is a string, it should be the name of... |
github | cs1471/Modelling-master | pyrLow.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/pyrLow.m | 287 | utf_8 | b3514ec06e2e106d7b61e534cac20a8e | % RES = pyrLow(PYR, INDICES)
%
% Access the lowpass subband from a pyramid
% (gaussian, laplacian, QMF/wavelet, steerable).
% Eero Simoncelli, 6/96.
function res = pyrLow(pyr,pind)
band = size(pind,1);
res = reshape( pyr(pyrBandIndices(pind,band)), pind(band,1), pind(band,2) );
|
github | cs1471/Modelling-master | pgmRead.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/pgmRead.m | 1,259 | utf_8 | 6f07c13cf0f5d8930a46ac0d778bf86f | % IM = pgmRead( FILENAME )
%
% Load a pgm image into a MatLab matrix.
% This format is accessible from the XV image browsing utility.
% Only works for 8bit gray images (raw or ascii)
% Hany Farid, Spring '96. Modified by Eero Simoncelli, 6/96.
function im = pgmRead( fname );
[fid,msg] = fopen( fname, 'r' );
... |
github | cs1471/Modelling-master | upConv.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/upConv.m | 2,781 | utf_8 | 62206c605ad4e39f382ccc2917a008ed | % RES = upConv(IM, FILT, EDGES, STEP, START, STOP, RES)
%
% Upsample matrix IM, followed by convolution with matrix FILT. These
% arguments should be 1D or 2D matrices, and IM must be larger (in
% both dimensions) than FILT. The origin of filt
% is assumed to be floor(size(filt)/2)+1.
%
% EDGES is a string determinin... |
github | cs1471/Modelling-master | mean2.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/mean2.m | 97 | utf_8 | cacc007ef6e32ba40a1e0da3b3d80a0e | % M = MEAN2(MTX)
%
% Sample mean of a matrix.
function res = mean2(mtx)
res = mean(mean(mtx));
|
github | cs1471/Modelling-master | range2.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/range2.m | 524 | utf_8 | 5d4a52482a0c4028b2fee27f69d6fd6d | % [MIN, MAX] = range2(MTX)
%
% Compute minimum and maximum values of MTX, returning them as a 2-vector.
% Eero Simoncelli, 3/97.
function [mn, mx] = range2(mtx)
%% NOTE: THIS CODE IS NOT ACTUALLY USED! (MEX FILE IS CALLED INSTEAD)
%fprintf(1,'WARNING: You should compile the MEX version of "range2.c",\n foun... |
github | cs1471/Modelling-master | buildSCFpyrLevs.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/buildSCFpyrLevs.m | 2,187 | utf_8 | 26747285064a0eaa2f3db75013e80849 | % [PYR, INDICES] = buildSCFpyrLevs(LODFT, LOGRAD, XRCOS, YRCOS, ANGLE, HEIGHT, NBANDS)
%
% Recursive function for constructing levels of a steerable pyramid. This
% is called by buildSCFpyr, and is not usually called directly.
% Original code: Eero Simoncelli, 5/97.
% Modified by Javier Portilla to generate complex b... |
github | cs1471/Modelling-master | clip.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/clip.m | 814 | utf_8 | 13c82937ba69d5bc8c94b2ccca783e1b | % [RES] = clip(IM, MINVALorRANGE, MAXVAL)
%
% Clip values of matrix IM to lie between minVal and maxVal:
% RES = max(min(IM,MAXVAL),MINVAL)
% The first argument can also specify both min and max, as a 2-vector.
% If only one argument is passed, the range defaults to [0,1].
function res = clip(im, minValOrRange, m... |
github | cs1471/Modelling-master | upBlur.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/upBlur.m | 1,213 | utf_8 | 7b07d26940520537edb6e8dc25b72242 | % RES = upBlur(IM, LEVELS, FILT)
%
% Upsample and blur an image. The blurring is done with filter
% kernel specified by FILT (default = 'binom5'), which can be a string
% (to be passed to namedFilter), a vector (applied separably as a 1D
% convolution kernel in X and Y), or a matrix (applied as a 2D
% convolution kern... |
github | cs1471/Modelling-master | nextFig.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/nextFig.m | 363 | utf_8 | 94a66b00983cd3840ff1cc88f118a022 | % nextFig (MAXFIGS, SKIP)
%
% Make figure number mod((GCF+SKIP), MAXFIGS) the current figure.
% MAXFIGS is optional, and defaults to 2.
% SKIP is optional, and defaults to 1.
% Eero Simoncelli, 2/97.
function nextFig(maxfigs, skip)
if (exist('maxfigs') ~= 1)
maxfigs = 2;
end
if (exist('skip') ~= 1)
skip = 1;... |
github | cs1471/Modelling-master | zconv2.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/zconv2.m | 1,164 | utf_8 | cd266795530db4cb146c1038383316f3 | % RES = ZCONV2(MTX1, MTX2, CTR)
%
% Convolution of two matrices, with boundaries handled as if the larger mtx
% lies in a sea of zeros. Result will be of size of LARGER vector.
%
% The origin of the smaller matrix is assumed to be its center.
% For even dimensions, the origin is determined by the CTR (optional)
% arg... |
github | cs1471/Modelling-master | mkZonePlate.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/mkZonePlate.m | 633 | utf_8 | d88329c8d374e54e124222c825679768 | % IM = mkZonePlate(SIZE, AMPL, PHASE)
%
% Make a "zone plate" image:
% AMPL * cos( r^2 + PHASE)
% SIZE specifies the matrix size, as for zeros().
% AMPL (default = 1) and PHASE (default = 0) are optional.
% Eero Simoncelli, 6/96.
function [res] = mkZonePlate(sz, ampl, ph)
sz = sz(:);
if (size(sz,1) == 1)
sz ... |
github | cs1471/Modelling-master | steer2HarmMtx.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/steer2HarmMtx.m | 1,803 | utf_8 | 35816be985c308717168260dc97419d8 | % MTX = steer2HarmMtx(HARMONICS, ANGLES, REL_PHASES)
%
% Compute a steering matrix (maps a directional basis set onto the
% angular Fourier harmonics). HARMONICS is a vector specifying the
% angular harmonics contained in the steerable basis/filters. ANGLES
% (optional) is a vector specifying the angular position of... |
github | cs1471/Modelling-master | mkAngularSine.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/mkAngularSine.m | 845 | utf_8 | 78a5e0afe3fef5c42804516e2ea1ccc8 | % IM = mkAngularSine(SIZE, HARMONIC, AMPL, PHASE, ORIGIN)
%
% Make an angular sinusoidal image:
% AMPL * sin( HARMONIC*theta + PHASE),
% where theta is the angle about the origin.
% SIZE specifies the matrix size, as for zeros().
% AMPL (default = 1) and PHASE (default = 0) are optional.
% Eero Simoncelli, 2/97.... |
github | cs1471/Modelling-master | mkRamp.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/mkRamp.m | 1,110 | utf_8 | 28989822e19c604a816a287a4bee873d | % IM = mkRamp(SIZE, DIRECTION, SLOPE, INTERCEPT, ORIGIN)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing samples of a ramp function, with given gradient DIRECTION
% (radians, CW from X-axis, default = 0), SLOPE (per pixel, default =
% 1), and a value of INTERCEPT (default = 0) at the... |
github | cs1471/Modelling-master | histoMatch.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/histoMatch.m | 858 | utf_8 | 8936fc2eadacc591ecdffe5967726780 | % RES = histoMatch(MTX, N, X)
%
% Modify elements of MTX so that normalized histogram matches that
% specified by vectors X and N, where N contains the histogram counts
% and X the histogram bin positions (see histo).
% Eero Simoncelli, 7/96.
function res = histoMatch(mtx, N, X)
if ( exist('histo') == 3 )
[oN, oX]... |
github | cs1471/Modelling-master | subMtx.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/subMtx.m | 420 | utf_8 | c660029ce728dcb8c540c9cf419fa7bc | % MTX = subMtx(VEC, DIMENSIONS, START_INDEX)
%
% Reshape a portion of VEC starting from START_INDEX (optional,
% default=1) to the given dimensions.
% Eero Simoncelli, 6/96.
function mtx = subMtx(vec, sz, offset)
if (exist('offset') ~= 1)
offset = 1;
end
vec = vec(:);
sz = sz(:);
if (size(sz,1) ~= 2)
error('D... |
github | cs1471/Modelling-master | showLpyr.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/showLpyr.m | 5,421 | utf_8 | 0646b94ae144cf6160a44f50e67f8dd5 | % RANGE = showLpyr (PYR, INDICES, RANGE, GAP, LEVEL_SCALE_FACTOR)
%
% Display a Laplacian (or Gaussian) pyramid, specified by PYR and
% INDICES (see buildLpyr), in the current figure.
%
% RANGE is a 2-vector specifying the values that map to black and
% white, respectively. These values are scaled by
% LEVEL_SCALE_F... |
github | cs1471/Modelling-master | sp1Filters.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/sp1Filters.m | 9,435 | utf_8 | 81cfbf726744492bee2374b9b564ebdf | % Steerable pyramid filters. Transform described in:
%
% @INPROCEEDINGS{Simoncelli95b,
% TITLE = "The Steerable Pyramid: A Flexible Architecture for
% Multi-Scale Derivative Computation",
% AUTHOR = "E P Simoncelli and W T Freeman",
% BOOKTITLE = "Second Int'l Conf on Image Processing",
% ADDRESS = "Washington, DC"... |
github | cs1471/Modelling-master | spyrHt.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/spyrHt.m | 305 | utf_8 | 06e83c1f45c1a99e242fa7ea37093a11 | % [HEIGHT] = spyrHt(INDICES)
%
% Compute height of steerable pyramid with given index matrix.
% Eero Simoncelli, 6/96.
function [ht] = spyrHt(pind)
nbands = spyrNumBands(pind);
% Don't count lowpass, or highpass residual bands
if (size(pind,1) > 2)
ht = (size(pind,1)-2)/nbands;
else
ht = 0;
end
|
github | cs1471/Modelling-master | spyrBand.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/spyrBand.m | 819 | utf_8 | 7d15b24244e521c9e85c68b3037f569b | % [LEV,IND] = spyrBand(PYR,INDICES,LEVEL,BAND)
%
% Access a band from a steerable pyramid.
%
% LEVEL indicates the scale (finest = 1, coarsest = spyrHt(INDICES)).
%
% BAND (optional, default=1) indicates which subband
% (1 = vertical, rest proceeding anti-clockwise).
% Eero Simoncelli, 6/96.
function res =... |
github | cs1471/Modelling-master | wpyrBand.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/wpyrBand.m | 873 | utf_8 | 12e08d90ccd6261b737e2d3c5ac5b1e7 | % RES = wpyrBand(PYR, INDICES, LEVEL, BAND)
%
% Access a subband from a separable QMF/wavelet pyramid.
%
% LEVEL (optional, default=1) indicates the scale (finest = 1,
% coarsest = wpyrHt(INDICES)).
%
% BAND (optional, default=1) indicates which subband (1=horizontal,
% 2=vertical, 3=diagonal).
% Eero Simoncelli... |
github | cs1471/Modelling-master | skew2.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/skew2.m | 478 | utf_8 | b304767117ab43e408c5757ab9e3402d | % S = SKEW2(MTX,MEAN,VAR)
%
% Sample skew (third moment divided by variance^3/2) of a matrix.
% MEAN (optional) and VAR (optional) make the computation faster.
function res = skew2(mtx, mn, v)
if (exist('mn') ~= 1)
mn = mean2(mtx);
end
if (exist('v') ~= 1)
v = var2(mtx,mn);
end
if (isreal(mtx))
res = mean(... |
github | cs1471/Modelling-master | imStats.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/imStats.m | 1,217 | utf_8 | aab8c3264c5939806bbca5657c925734 | % imStats(IM1,IM2)
%
% Report image (matrix) statistics.
% When called on a single image IM1, report min, max, mean, stdev, skew,
% and kurtosis (4th moment about the mean, divided by squared variance)
%
% When called on two images (IM1 and IM2), report min, max, mean,
% stdev of the difference, and also SNR (relative... |
github | cs1471/Modelling-master | innerProd.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/innerProd.m | 314 | utf_8 | e2ea166f9b3ddbc08cb54ef697343d06 | % RES = innerProd(MTX)
%
% Compute (MTX' * MTX) efficiently (i.e., without copying the matrix)
%
% NOTE: This function used to call a MEX function (C code) to avoid copying, but
% newer versions of matlab have eliminated the overhead of the
% simpler form below.
function res = innerProd(mtx)
res = mtx' * mtx;
|
github | cs1471/Modelling-master | reconSFpyr.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/reconSFpyr.m | 3,114 | utf_8 | ebb08817efc597692b9026a84e2a6906 | % RES = reconSFpyr(PYR, INDICES, LEVS, BANDS, TWIDTH)
%
% Reconstruct image from its steerable pyramid representation, in the Fourier
% domain, as created by buildSFpyr.
%
% PYR is a vector containing the N pyramid subbands, ordered from fine
% to coarse. INDICES is an Nx2 matrix containing the sizes of
% each subband... |
github | cs1471/Modelling-master | corrDn.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/corrDn.m | 2,274 | utf_8 | e79ad1e2689fa5bc080c95c923c30f9a | % RES = corrDn(IM, FILT, EDGES, STEP, START, STOP)
%
% Compute correlation of matrices IM with FILT, followed by
% downsampling. These arguments should be 1D or 2D matrices, and IM
% must be larger (in both dimensions) than FILT. The origin of filt
% is assumed to be floor(size(filt)/2)+1.
%
% EDGES is a string dete... |
github | cs1471/Modelling-master | vectify.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/vectify.m | 186 | utf_8 | 1da0e519af06d6baaff1decc40dc3702 | % [VEC] = columnize(MTX)
%
% Pack elements of MTX into a column vector. Just provides a
% function-call notatoin for the operation MTX(:)
function vec = columnize(mtx)
vec = mtx(:);
|
github | cs1471/Modelling-master | maxPyrHt.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/maxPyrHt.m | 603 | utf_8 | 019e5ce9d036a893ec979c63f51ff54a | % HEIGHT = maxPyrHt(IMSIZE, FILTSIZE)
%
% Compute maximum pyramid height for given image and filter sizes.
% Specifically: the number of corrDn operations that can be sequentially
% performed when subsampling by a factor of 2.
% Eero Simoncelli, 6/96.
function height = maxPyrHt(imsz, filtsz)
imsz = imsz(:);
filtsz =... |
github | cs1471/Modelling-master | buildSpyrLevs.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/buildSpyrLevs.m | 861 | utf_8 | a5fa1e98161a8137e666c1406c28a748 | % [PYR, INDICES] = buildSpyrLevs(LOIM, HEIGHT, LOFILT, BFILTS, EDGES)
%
% Recursive function for constructing levels of a steerable pyramid. This
% is called by buildSpyr, and is not usually called directly.
% Eero Simoncelli, 6/96.
function [pyr,pind] = buildSpyrLevs(lo0,ht,lofilt,bfilts,edges);
if (ht <= 0)
py... |
github | cs1471/Modelling-master | showSpyr.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/showSpyr.m | 5,213 | utf_8 | bc643d88c491a55c0a0abb5e86c91757 | % RANGE = showSpyr (PYR, INDICES, RANGE, GAP, LEVEL_SCALE_FACTOR)
%
% Display a steerable pyramid, specified by PYR and INDICES
% (see buildSpyr), in the current figure. The highpass band is not shown.
%
% RANGE is a 2-vector specifying the values that map to black and
% white, respectively. These values are scaled... |
github | cs1471/Modelling-master | histo.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/histo.m | 1,836 | utf_8 | 41c10f27418049add76769c8014d320f | % [N,X] = histo(MTX, nbinsOrBinsize, binCenter);
%
% Compute a histogram of (all) elements of MTX. N contains the histogram
% counts, X is a vector containg the centers of the histogram bins.
%
% nbinsOrBinsize (optional, default = 101) specifies either
% the number of histogram bins, or the negative of the binsize.
%... |
github | cs1471/Modelling-master | lplot.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/lplot.m | 1,009 | utf_8 | 87c83936af0b318d55077862065b56df | % lplot(VEC, XRANGE)
%
% Plot VEC, a vector, in "lollipop" format.
% XRANGE (optional, default = [1,length(VEC)]), should be a 2-vector
% specifying the X positions (for labeling purposes) of the first and
% last sample of VEC.
% Mark Liberman, Linguistics Dept, UPenn, 1994.
function lplot(x,xrange)
if (exist('... |
github | cs1471/Modelling-master | blurDn.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/blurDn.m | 1,364 | utf_8 | d528010bfd2b4c50e7dbb2aede757214 | % RES = blurDn(IM, LEVELS, FILT)
%
% Blur and downsample an image. The blurring is done with filter
% kernel specified by FILT (default = 'binom5'), which can be a string
% (to be passed to namedFilter), a vector (applied separably as a 1D
% convolution kernel in X and Y), or a matrix (applied as a 2D
% convolution ke... |
github | cs1471/Modelling-master | reconSpyrLevs.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/reconSpyrLevs.m | 1,126 | utf_8 | 1f10e3cea5d79a4f4a30d979f3bb1298 | % RES = reconSpyrLevs(PYR,INDICES,LOFILT,BFILTS,EDGES,LEVS,BANDS)
%
% Recursive function for reconstructing levels of a steerable pyramid
% representation. This is called by reconSpyr, and is not usually
% called directly.
% Eero Simoncelli, 6/96.
function res = reconSpyrLevs(pyr,pind,lofilt,bfilts,edges,levs,bands)... |
github | cs1471/Modelling-master | mkSine.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/mkSine.m | 1,725 | utf_8 | 35c6d83f70860ab6defcbdcf7366d89e | % IM = mkSine(SIZE, PERIOD, DIRECTION, AMPLITUDE, PHASE, ORIGIN)
% or
% IM = mkSine(SIZE, FREQ, AMPLITUDE, PHASE, ORIGIN)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing samples of a 2D sinusoid, with given PERIOD (in pixels),
% DIRECTION (radians, CW from X-axis, default = 0),... |
github | cs1471/Modelling-master | buildSFpyrLevs.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/buildSFpyrLevs.m | 1,891 | utf_8 | 52ab858761411b2a5a75e7de641259cf | % [PYR, INDICES] = buildSFpyrLevs(LODFT, LOGRAD, XRCOS, YRCOS, ANGLE, HEIGHT, NBANDS)
%
% Recursive function for constructing levels of a steerable pyramid. This
% is called by buildSFpyr, and is not usually called directly.
% Eero Simoncelli, 5/97.
function [pyr,pind] = buildSFpyrLevs(lodft,log_rad,Xrcos,Yrcos,angl... |
github | cs1471/Modelling-master | pixelAxes.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/pixelAxes.m | 1,983 | utf_8 | 1b2a2bfddd425fee2ccd276f3948cec7 | % [ZOOM] = pixelAxes(DIMS, ZOOM)
%
% Set the axes of the current plot to cover a multiple of DIMS pixels,
% thereby eliminating screen aliasing artifacts when displaying an
% image of size DIMS.
%
% ZOOM (optional, default='same') expresses the desired number of
% samples displayed per screen pixel. It should be a ... |
github | cs1471/Modelling-master | pyrBandIndices.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/pyrBandIndices.m | 589 | utf_8 | 28f90484526c294bdb24bdbf8014012d | % RES = pyrBandIndices(INDICES, BAND_NUM)
%
% Return indices for accessing a subband from a pyramid
% (gaussian, laplacian, QMF/wavelet, steerable).
% Eero Simoncelli, 6/96.
function indices = pyrBandIndices(pind,band)
if ((band > size(pind,1)) | (band < 1))
error(sprintf('BAND_NUM must be between 1 and number o... |
github | cs1471/Modelling-master | pointOp.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/pointOp.m | 1,208 | utf_8 | 9c9c3a54315c4b9acb007707a411c561 | % RES = pointOp(IM, LUT, ORIGIN, INCREMENT, WARNINGS)
%
% Apply a point operation, specified by lookup table LUT, to image IM.
% LUT must be a row or column vector, and is assumed to contain
% (equi-spaced) samples of the function. ORIGIN specifies the
% abscissa associated with the first sample, and INCREMENT specifi... |
github | cs1471/Modelling-master | reconWpyr.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/reconWpyr.m | 3,992 | utf_8 | 859a606f214bce204ce3c9ea18c0fc87 | % RES = reconWpyr(PYR, INDICES, FILT, EDGES, LEVS, BANDS)
%
% Reconstruct image from its separable orthonormal QMF/wavelet pyramid
% representation, as created by buildWpyr.
%
% PYR is a vector containing the N pyramid subbands, ordered from fine
% to coarse. INDICES is an Nx2 matrix containing the sizes of
% each sub... |
github | cs1471/Modelling-master | showWpyr.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/showWpyr.m | 5,491 | utf_8 | 4bc0b260425f553810ae04afced17fda | % RANGE = showWpyr (PYR, INDICES, RANGE, GAP, LEVEL_SCALE_FACTOR)
%
% Display a separable QMF/wavelet pyramid, specified by PYR and INDICES
% (see buildWpyr), in the current figure.
%
% RANGE is a 2-vector specifying the values that map to black and
% white, respectively. These values are scaled by
% LEVEL_SCALE_FAC... |
github | cs1471/Modelling-master | imGradient.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/imGradient.m | 1,547 | utf_8 | b13a85bea09c3f4e0c1e6140c9a31f7a | % [dx, dy] = imGradient(im, edges)
%
% Compute the gradient of the image using smooth derivative filters
% optimized for accurate direction estimation. Coordinate system
% corresponds to standard pixel indexing: X axis points rightward. Y
% axis points downward. EDGES specify boundary handling (see corrDn
% for opt... |
github | cs1471/Modelling-master | lpyrHt.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/lpyrHt.m | 233 | utf_8 | dd0b45926abda2b3fe9aaec0a4f4d214 | % [HEIGHT] = lpyrHt(INDICES)
%
% Compute height of Laplacian pyramid with given its INDICES matrix.
% See buildLpyr.m
% Eero Simoncelli, 6/96.
function [ht] = lpyrHt(pind)
% Don't count lowpass residual band
ht = size(pind,1)-1;
|
github | cs1471/Modelling-master | buildGpyr.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/buildGpyr.m | 1,931 | utf_8 | 3f1cfe5507fe34b51d71a87d955abbf5 | % [PYR, INDICES] = buildGpyr(IM, HEIGHT, FILT, EDGES)
%
% Construct a Gaussian pyramid on matrix IM.
%
% HEIGHT (optional) specifies the number of pyramid levels to build. Default
% is 1+maxPyrHt(size(IM),size(FILT)).
% You can also specify 'auto' to use this value.
%
% FILT (optional) can be a string naming a standar... |
github | cs1471/Modelling-master | shift.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/shift.m | 438 | utf_8 | 2ac42b171e4ca683ef1d361eaf331870 | % [RES] = shift(MTX, OFFSET)
%
% Circular shift 2D matrix samples by OFFSET (a [Y,X] 2-vector),
% such that RES(POS) = MTX(POS-OFFSET).
function res = shift(mtx, offset)
dims = size(mtx);
offset = mod(-offset,dims);
res = [ mtx(offset(1)+1:dims(1), offset(2)+1:dims(2)), ...
mtx(offset(1)+1:dims(1), 1:o... |
github | cs1471/Modelling-master | namedFilter.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/namedFilter.m | 3,207 | utf_8 | 8f45ef65fca60f53e0f734c4f1ae01bf | % KERNEL = NAMED_FILTER(NAME)
%
% Some standard 1D filter kernels. These are scaled such that
% their L2-norm is 1.0.
%
% binomN - binomial coefficient filter of order N-1
% haar: - Haar wavelet.
% qmf8, qmf12, qmf16 - Symmetric Quadrature Mirror Filters [Johnston80]
% daub2,daub3,daub4 -... |
github | cs1471/Modelling-master | buildLpyr.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/buildLpyr.m | 2,632 | utf_8 | b62aad457634fd598b373448741860cd | % [PYR, INDICES] = buildLpyr(IM, HEIGHT, FILT1, FILT2, EDGES)
%
% Construct a Laplacian pyramid on matrix (or vector) IM.
%
% HEIGHT (optional) specifies the number of pyramid levels to build. Default
% is 1+maxPyrHt(size(IM),size(FILT)). You can also specify 'auto' to
% use this value.
%
% FILT1 (optional) can be a s... |
github | cs1471/Modelling-master | mkAngle.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/mkAngle.m | 788 | utf_8 | 126297224256c6e9077dc58f4094c39a | % IM = mkAngle(SIZE, PHASE, ORIGIN)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing samples of the polar angle (in radians, CW from the
% X-axis, ranging from -pi to pi), relative to angle PHASE (default =
% 0), about ORIGIN pixel (default = (size+1)/2).
% Eero Simoncelli, 6/96.
fu... |
github | cs1471/Modelling-master | wpyrHt.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/wpyrHt.m | 270 | utf_8 | 18e1a724afee99389db70484333eb05a | % [HEIGHT] = wpyrHt(INDICES)
%
% Compute height of separable QMF/wavelet pyramid with given index matrix.
% Eero Simoncelli, 6/96.
function [ht] = wpyrHt(pind)
if ((pind(1,1) == 1) | (pind(1,2) ==1))
nbands = 1;
else
nbands = 3;
end
ht = (size(pind,1)-1)/nbands;
|
github | cs1471/Modelling-master | sp0Filters.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/sp0Filters.m | 6,140 | utf_8 | 0c5cd7bafff21efacd2a8ec71af90f49 | % Steerable pyramid filters. Transform described in:
%
% @INPROCEEDINGS{Simoncelli95b,
% TITLE = "The Steerable Pyramid: A Flexible Architecture for
% Multi-Scale Derivative Computation",
% AUTHOR = "E P Simoncelli and W T Freeman",
% BOOKTITLE = "Second Int'l Conf on Image Processing",
% ADDRESS = "Washington, DC"... |
github | cs1471/Modelling-master | sp5Filters.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/sp5Filters.m | 6,949 | utf_8 | 305fb0c0ca0709fc34ca6c5b4bb91712 | % Steerable pyramid filters. Transform described in:
%
% @INPROCEEDINGS{Simoncelli95b,
% TITLE = "The Steerable Pyramid: A Flexible Architecture for
% Multi-Scale Derivative Computation",
% AUTHOR = "E P Simoncelli and W T Freeman",
% BOOKTITLE = "Second Int'l Conf on Image Processing",
% ADDRESS = "Washington, DC"... |
github | cs1471/Modelling-master | steer.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/steer.m | 1,990 | utf_8 | 3db4dd948e0ece7c7237330b7d4f191e | % RES = STEER(BASIS, ANGLE, HARMONICS, STEERMTX)
%
% Steer BASIS to the specfied ANGLE.
%
% BASIS should be a matrix whose columns are vectorized rotated copies of a
% steerable function, or the responses of a set of steerable filters.
%
% ANGLE can be a scalar, or a column vector the size of the basis.
%
% HARMO... |
github | cs1471/Modelling-master | mkGaussian.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/mkGaussian.m | 1,565 | utf_8 | 1f55e73fbc9155a38607b0667da2d7f3 | % IM = mkGaussian(SIZE, COVARIANCE, MEAN, AMPLITUDE)
%
% Compute a matrix with dimensions SIZE (a [Y X] 2-vector, or a
% scalar) containing a Gaussian function, centered at pixel position
% specified by MEAN (default = (size+1)/2), with given COVARIANCE (can
% be a scalar, 2-vector, or 2x2 matrix. Default = (min(size... |
github | cs1471/Modelling-master | factorial.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/factorial.m | 273 | utf_8 | 370971eae7a2351704973c452848d194 | %% RES = factorial(NUM)
%
% Factorial function that works on matrices (matlab's does not).
% EPS, 11/02
function res = factorial(num)
res = ones(size(num));
ind = find(num > 0);
if ( ~isempty(ind) )
subNum = num(ind);
res(ind) = subNum .* factorial(subNum-1);
end
|
github | cs1471/Modelling-master | entropy2.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/entropy2.m | 693 | utf_8 | c637630f7ac8912e5cb30f67551aece7 | % E = ENTROPY2(MTX,BINSIZE)
%
% Compute the first-order sample entropy of MTX. Samples of VEC are
% first discretized. Optional argument BINSIZE controls the
% discretization, and defaults to 256/(max(VEC)-min(VEC)).
%
% NOTE: This is a heavily biased estimate of entropy (it is too
% small) when you don't have much... |
github | cs1471/Modelling-master | buildSFpyr.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/buildSFpyr.m | 3,256 | utf_8 | 84c0a17ac90df74f317c29833c54ffa3 | % [PYR, INDICES, STEERMTX, HARMONICS] = buildSFpyr(IM, HEIGHT, ORDER, TWIDTH)
%
% Construct a steerable pyramid on matrix IM, in the Fourier domain.
% This is similar to buildSpyr, except that:
%
% + Reconstruction is exact (within floating point errors)
% + It can produce any number of orientation bands.
% - ... |
github | cs1471/Modelling-master | spyrLev.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/spyrLev.m | 668 | utf_8 | 8d25ccc2790a62ab21a20cc3d0772706 | % [LEV,IND] = spyrLev(PYR,INDICES,LEVEL)
%
% Access a level from a steerable pyramid.
% Return as an SxB matrix, B = number of bands, S = total size of a band.
% Also returns an Bx2 matrix containing dimensions of the subbands.
% Eero Simoncelli, 6/96.
function [lev,ind] = spyrLev(pyr,pind,level)
nbands = spyrNumBa... |
github | cs1471/Modelling-master | pgmWrite.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/pgmWrite.m | 3,119 | utf_8 | 6425008296069df51c5c30ee1c011850 | % RANGE = pgmWrite(MTX, FILENAME, RANGE, TYPE, COMMENT)
%
% Write a MatLab matrix to a pgm (graylevel image) file.
% This format is accessible from the XV image browsing utility.
%
% RANGE (optional) is a 2-vector specifying the values that map to
% black and white, respectively. Passing a value of 'auto' (default)
% ... |
github | cs1471/Modelling-master | modulateFlip.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/modulateFlip.m | 461 | utf_8 | 92f12f8068fcf49b9863851f106a5aa3 | % [HFILT] = modulateFlipShift(LFILT)
%
% QMF/Wavelet highpass filter construction: modulate by (-1)^n,
% reverse order (and shift by one, which is handled by the convolution
% routines). This is an extension of the original definition of QMF's
% (e.g., see Simoncelli90).
% Eero Simoncelli, 7/96.
function [hfilt] = m... |
github | cs1471/Modelling-master | mkFract.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/mkFract.m | 843 | utf_8 | f0d97e35133978ade3a5fe34dea5d08a | % IM = mkFract(SIZE, FRACT_DIM)
%
% Make a matrix of dimensions SIZE (a [Y X] 2-vector, or a scalar)
% containing fractal (pink) noise with power spectral density of the
% form: 1/f^(5-2*FRACT_DIM). Image variance is normalized to 1.0.
% FRACT_DIM defaults to 1.0
% Eero Simoncelli, 6/96.
%% TODO: Verify that this m... |
github | cs1471/Modelling-master | mkSquare.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/mkSquare.m | 2,344 | utf_8 | 7d9553e391552cd91cdd6d81348404e2 | % IM = mkSquare(SIZE, PERIOD, DIRECTION, AMPLITUDE, PHASE, ORIGIN, TWIDTH)
% or
% IM = mkSine(SIZE, FREQ, AMPLITUDE, PHASE, ORIGIN, TWIDTH)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing samples of a 2D square wave, with given PERIOD (in
% pixels), DIRECTION (radians, CW from ... |
github | cs1471/Modelling-master | spyrNumBands.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/spyrNumBands.m | 480 | utf_8 | 4a10cb68438c7dfc197ec00066f48fd4 | % [NBANDS] = spyrNumBands(INDICES)
%
% Compute number of orientation bands in a steerable pyramid with
% given index matrix. If the pyramid contains only the highpass and
% lowpass bands (i.e., zero levels), returns 0.
% Eero Simoncelli, 2/97.
function [nbands] = spyrNumBands(pind)
if (size(pind,1) == 2)
nbands ... |
github | cs1471/Modelling-master | reconSpyr.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/matlabPyrTools/reconSpyr.m | 2,671 | utf_8 | ea9e71a5f8a76eadbe8c1a2472d89344 | % RES = reconSpyr(PYR, INDICES, FILTFILE, EDGES, LEVS, BANDS)
%
% Reconstruct image from its steerable pyramid representation, as created
% by buildSpyr.
%
% PYR is a vector containing the N pyramid subbands, ordered from fine
% to coarse. INDICES is an Nx2 matrix containing the sizes of
% each subband. This is compa... |
github | cs1471/Modelling-master | vanRead.m | .m | Modelling-master/month_OdeliaSchwartz/codingPractice/BerkeleyCourse2016/Images/vanRead.m | 245 | utf_8 | 2ce954dca40bb4d5f9313d08825b8b1b |
% IM = vanRead( FILENAME )
%
% Load a van hateren image into a MatLab matrix.
% This format is 16 bit grayscale (raw).
% Feb 2001
function im = vanRead( fname );
fid=fopen(fname, 'r', 'ieee-be');
im=fread(fid, [1536, 1024], 'int16');
im=im';
|
github | LiHeUA/M2DP-master | M2DP.m | .m | M2DP-master/M2DP.m | 3,729 | utf_8 | fe5eb60987a7149cfcb3d13b6707d16b | function [desM2DP,A] = M2DP(data)
% Multiview 2D projection (M2DP) descriptor.
%
% Input:
% data n*3 Point cloud. Each row is [x y z]
% Output:
% desM2DP 192*1 M2DP descriptor of the input cloud data
% A 64*128 Signature matrix
%
% Introduction:
% M2DP is a global descript... |
github | LiHeUA/M2DP-master | demo.m | .m | M2DP-master/demo.m | 1,424 | utf_8 | 4b78a2469699ec03d22ae1be23ce6995 | function demo
% Demo of the M2DP descriptor described in the following paper:
%
% Li He, Xiaolong Wang and Hong Zhang, M2DP: A Novel 3D Point Cloud
% Descriptor and Its Application in Loop Closure Detection, IROS 2016.
%
% Li He, Dept. of Computing Science, University of Alberta
% lhe2@ualberta.ca
%% 0. Please run me... |
github | mschweiger/orbiter-tileedit-master | elev_downsample.m | .m | orbiter-tileedit-master/matlab/elev_downsample.m | 3,532 | utf_8 | 164297d950984c87d62e8d31b550364d | function b = elev_downsample(texpath,lvl,ilat,ilng)
plvl = lvl-1;
pilat = floor(ilat/2);
pilng = floor(ilng/2);
fname = sprintf('%s/Elev/%02d/%06d/%06d.elv', texpath, plvl, pilat, pilng);
pdata = elvread(fname);
pdata0 = pdata;
fname = sprintf('%s/Elev_mod/%02d/%06d/%06d.elv', texpath, plvl, pilat, pilng);
pdata = elvm... |
github | mschweiger/orbiter-tileedit-master | elvwrite.m | .m | orbiter-tileedit-master/matlab/elvwrite.m | 1,152 | utf_8 | c9daa70e1035a7cd0e91ede4b00072df | function elvwrite(dname,fname,im)
elvh.grd = size(im);
elvh.size = 100;
im = reshape(rot90(int32(im),3),[],1);
[res,msg,id] = mkdir(dname);
if res == 0
return; % cannot create directory
end
fid = fopen([dname '/' fname], 'wb');
if fid < 0
return; % cannot create file
end
v = im;
v0 = min(v);
v1 = max(v);
vr... |
github | mschweiger/orbiter-tileedit-master | elvmodread.m | .m | orbiter-tileedit-master/matlab/elvmodread.m | 1,110 | utf_8 | 41633811e05f2f9b27ef914049ce885b | function im=elvmodread(fname,im0)
im = im0;
fid = fopen(fname,'rb');
if fid < 0
return;
end
magic = char(fread(fid,4,'char')');
if ~strcmp(magic(1:3),'ELE') || magic(4) ~= 1
error(['Invalid file format: ' fname]);
end
elvh = read_header(fid);
switch elvh.dtype
case 0
im = ones(elvh.grd,'int32'... |
github | mschweiger/orbiter-tileedit-master | tileedit.m | .m | orbiter-tileedit-master/matlab/tileedit.m | 50,058 | utf_8 | 6abafe70efcc60c5f9f392b8ac188dfd | function varargout = tileedit(varargin)
% TILEEDIT MATLAB code for tileedit.fig
% TILEEDIT, by itself, creates a new TILEEDIT or raises the existing
% singleton*.
%
% H = TILEEDIT returns the handle to a new TILEEDIT or the handle to
% the existing singleton*.
%
% TILEEDIT('CALLBACK',hObject,ev... |
github | mschweiger/orbiter-tileedit-master | elvmodwrite.m | .m | orbiter-tileedit-master/matlab/elvmodwrite.m | 1,617 | utf_8 | e2758ba979928b018e3eecde0e6419f9 | function elvmodwrite(dname,fname,im,im0)
elvh.grd = size(im);
elvh.size = 100;
im = reshape(rot90(int32(im),3),[],1);
im0 = reshape(rot90(int32(im0),3),[],1);
i = find(im-im0);
if isempty(i)
% no modifications - delete the mod file if it exists
if exist([dname '/' fname],'file')
delete([dname '/' fna... |
github | mschweiger/orbiter-tileedit-master | elvread.m | .m | orbiter-tileedit-master/matlab/elvread.m | 1,072 | utf_8 | 748ee1dc2c091c733b5aaededc90490f | function im=elvread(fname)
fid = fopen(fname,'rb');
if fid < 0
im = [];
return;
end
magic = char(fread(fid,4,'char')');
if ~strcmp(magic(1:3),'ELE') || magic(4) ~= 1
error(['Invalid file format: ' fname]);
end
elvh = read_header(fid);
switch elvh.dtype
case 0
im = ones(elvh.grd)*elvh.offset... |
github | motoq/bierman-master | est_upd_srukf_cov.m | .m | bierman-master/src/est_upd_srukf_cov.m | 3,417 | utf_8 | 9f69f7044f9ea046fc1ef658ba4fa1b2 | function L_hat = est_upd_srukf_cov(x_bar, L_bar, Chi, w_m, sr_w_c, Y, Sr_Rn, nc)
% EST_UPD_SRUKF_COV Given a postulated estimate and covariance, update with
% sigma vector based parameters and computed observations using a square root
% formulation of the unscented Kalman filter. The input estimate may be an
% augment... |
github | motoq/bierman-master | driver_lls_constrained.m | .m | bierman-master/src/driver_lls_constrained.m | 3,086 | utf_8 | 0a8cfaa3e8c9b232a0a72ef598bb6aed | clear;
close all;
%
% Illustrates linear least squares and constrained linear least squares
% fit to the curve y = a0 + a1*x + a2*exp(x) given an overdetermined
% system.
%
% The constrained fit example locks the endpoints and sets the slope at
% the first endpoint.
%
% Define local functions. For Matlab, move these... |
github | seakers/orekit-master | stk_read_raw_coverage_data_per_grid_pt.m | .m | orekit-master/matlab/stk_read_raw_coverage_data_per_grid_pt.m | 1,818 | utf_8 | 1a220dbc762970bf2be720c6c248ecb8 | %% stk_read_raw_coverage_data2.m
%this function reads in the cvaa coverage access files prodced in stk.
%The input to this function is the filename *.cvaa
%The output is a cell of cells. One cell for each grid point and each cell
%within contains the lat | lon | access start | access stop | access duration
functi... |
github | seakers/orekit-master | fullfactwalker.m | .m | orekit-master/matlab/fullfactwalker.m | 2,411 | utf_8 | 2aa415283ca416ef7cb9b037990b5b07 | function constels = fullfactwalker(alts, incs, t)
%this function will enumerate all possible walker constellations given a
%discrete set of altitudes, inclinations, and total number of satellites.
%By defining the total number of satellites, all possible values of planes
%and phasing values will be created such that wa... |
github | seakers/orekit-master | compareAccessGaps.m | .m | orekit-master/matlab/compareAccessGaps.m | 6,139 | utf_8 | 37219f13d4e855e757249a2aa28e20b5 | function results = compareAccessGaps()
%Compares global acccesses and gaps from STK vs orekit.
%assumes file input is a csv with the first column containing start times
%and the second column containing end times
% path = 'C:\Users\SEAK1\Nozomi\OREKIT\Documentation\Comparing STK vs orekit\';
path = '/Users/nozomihito... |
github | JacopoPan/probabilistic-resilience-master | main-0.3b.m | .m | probabilistic-resilience-master/code/main-0.3b.m | 21,861 | utf_8 | 192203a6af63d411ad57ddeeae4fd7a5 | #! /usr/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
#################################################
#################################################
# PARAMETERS ####################################
#################################################
#################... |
github | JacopoPan/probabilistic-resilience-master | main-0.1b.m | .m | probabilistic-resilience-master/code/main-0.1b.m | 21,149 | utf_8 | a6355e9631344b08f68dcaba6ea214db | #! /usr/bin/octave -qf
# note: the interpreter path is /usr/bin/octave in ubuntu, /usr/local/bin/octave in mac osx
#model specification
##{
#rain model
ground_belief = [0.5, 0.5]; #P(rain, no rain)
transition_set(1).transition_model = [0.8, 0.2; #P(rain, no rain|it was raining)
0.2, 0.8]; #P(rain, no rain|it wa... |
github | JacopoPan/probabilistic-resilience-master | branched-main.m | .m | probabilistic-resilience-master/code/branched-main.m | 15,236 | utf_8 | 99e0b8143a5bc51169f7b5a0f7bda53f | #! /usr/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
#################################################
#################################################
# PARAMETERS ####################################
#################################################
#################... |
github | JacopoPan/probabilistic-resilience-master | approximated-resistance.m | .m | probabilistic-resilience-master/code/approximated-resistance.m | 22,200 | utf_8 | aea38e46f6e3c1245b39a4c319c78e90 | #! /usr/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
#################################################
#################################################
# PARAMETERS ####################################
#################################################
#################... |
github | JacopoPan/probabilistic-resilience-master | main-0.2b.m | .m | probabilistic-resilience-master/code/main-0.2b.m | 20,481 | utf_8 | 4a3224999eaadc567c5a0f718749e246 | #! /usr/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
#################################################
#################################################
# PARAMETERS ####################################
#################################################
#################... |
github | JacopoPan/probabilistic-resilience-master | many-robots-6.m | .m | probabilistic-resilience-master/code-addendum/many-robots-6.m | 7,584 | utf_8 | 691610e43319280473b40875efbf1dd0 | #! /usr/local/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
function s = vector2string(a) #convert vectors to strings
s = "";
if rows(a) != 1
printf("ERROR: unacceptable string\n");
exit;
elseif length(a) == 0
printf("WARNING: empty string\n");
else
for ... |
github | JacopoPan/probabilistic-resilience-master | many-robots-3.m | .m | probabilistic-resilience-master/code-addendum/many-robots-3.m | 7,554 | utf_8 | 8aa04c93cb75ad798504236442b030b7 | #! /usr/local/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
function s = vector2string(a) #convert vectors to strings
s = "";
if rows(a) != 1
printf("ERROR: unacceptable string\n");
exit;
elseif length(a) == 0
printf("WARNING: empty string\n");
else
for ... |
github | JacopoPan/probabilistic-resilience-master | many-robots-5.m | .m | probabilistic-resilience-master/code-addendum/many-robots-5.m | 7,574 | utf_8 | 865f1aa5ecd11ffa31c14273b7c31e8c | #! /usr/local/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
function s = vector2string(a) #convert vectors to strings
s = "";
if rows(a) != 1
printf("ERROR: unacceptable string\n");
exit;
elseif length(a) == 0
printf("WARNING: empty string\n");
else
for ... |
github | JacopoPan/probabilistic-resilience-master | stripped-main.m | .m | probabilistic-resilience-master/code-addendum/stripped-main.m | 7,382 | utf_8 | 31f7928a2bfabb0c33643ecbc12a195a | #! /usr/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
function [g_b, t_m_a, s_m_a, u_v] = choose_model(s)
g_b = [0.33, 0.34, 0.33]; #P(healthy, sick, very sick)
t_m_a(1).val = [0.8, 0.15, 0.05; #P(healthy, sick, very sick | was healthy)
0.2, 0.7, 0.1; #P(healthy, s... |
github | JacopoPan/probabilistic-resilience-master | robots-6.m | .m | probabilistic-resilience-master/code-addendum/robots-6.m | 12,863 | utf_8 | 49c7c3aba826c32e637d142ac59a0356 | #! /usr/local/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
function s = vector2string(a) #convert vectors to strings
s = "";
if rows(a) != 1
printf("ERROR: unacceptable string\n");
exit;
elseif length(a) == 0
printf("WARNING: empty string\n");
else
for ... |
github | JacopoPan/probabilistic-resilience-master | robots-4.m | .m | probabilistic-resilience-master/code-addendum/robots-4.m | 12,817 | utf_8 | 1b874146ca77c7079487dfbe12913592 | #! /usr/local/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
function s = vector2string(a) #convert vectors to strings
s = "";
if rows(a) != 1
printf("ERROR: unacceptable string\n");
exit;
elseif length(a) == 0
printf("WARNING: empty string\n");
else
for ... |
github | JacopoPan/probabilistic-resilience-master | robots-3.m | .m | probabilistic-resilience-master/code-addendum/robots-3.m | 12,793 | utf_8 | acd7199123b6850c01259d0362b83ca8 | #! /usr/local/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
function s = vector2string(a) #convert vectors to strings
s = "";
if rows(a) != 1
printf("ERROR: unacceptable string\n");
exit;
elseif length(a) == 0
printf("WARNING: empty string\n");
else
for ... |
github | JacopoPan/probabilistic-resilience-master | robots-5.m | .m | probabilistic-resilience-master/code-addendum/robots-5.m | 12,841 | utf_8 | bed83d9c6d752babb3ca009efe7ab39b | #! /usr/local/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
function s = vector2string(a) #convert vectors to strings
s = "";
if rows(a) != 1
printf("ERROR: unacceptable string\n");
exit;
elseif length(a) == 0
printf("WARNING: empty string\n");
else
for ... |
github | JacopoPan/probabilistic-resilience-master | many-robots-3-cjpd.m | .m | probabilistic-resilience-master/code-addendum/many-robots-3-cjpd.m | 9,599 | utf_8 | e6a94847e7b222d236e5b8870f74c63a | #! /usr/local/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
function s = vector2string(a) #convert vectors to strings
s = "";
if rows(a) != 1
printf("ERROR: unacceptable string\n");
exit;
elseif length(a) == 0
printf("WARNING: empty string\n");
else
for ... |
github | JacopoPan/probabilistic-resilience-master | many-robots-4.m | .m | probabilistic-resilience-master/code-addendum/many-robots-4.m | 7,564 | utf_8 | bdb48b735835c0549cdf60225875da92 | #! /usr/local/bin/octave -qf
#Ubuntu's interpreter /usr/bin/octave
#OSX's interpreter /usr/local/bin/octave
function s = vector2string(a) #convert vectors to strings
s = "";
if rows(a) != 1
printf("ERROR: unacceptable string\n");
exit;
elseif length(a) == 0
printf("WARNING: empty string\n");
else
for ... |
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