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github | Ciaran1981/SeAMS-master | homotrans.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/homotrans.m | 1,371 | utf_8 | 8fc0c2c8b73dcccc47ba10e8a451beee | % HOMOTRANS - Homogeneous transformation of points/lines
%
% Function to perform a transformation on 2D or 3D homogeneous coordinates
% The resulting coordinates are normalised to have a homogeneous scale of 1
%
% Usage:
% t = homotrans(P, v);
%
% Arguments:
% P - 3 x 3 or 4 x 4 homogeneous transfo... |
github | Ciaran1981/SeAMS-master | trans.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/trans.m | 708 | utf_8 | c2bc04ae87a1f56d814ee75d140cea19 | % TRANS - Homogeneous transformation for a translation by x, y, z
%
% Usage: T = trans(x, y, z)
% T = trans(v)
%
% Arguments: x,y,z - translations in x,y and z, or alternatively
% v - 3-vector defining x, y and z.
% Returns: T - 4x4 homogeneous transformation matrix
%
% See also: ROTX, RO... |
github | Ciaran1981/SeAMS-master | plotframe.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/plotframe.m | 1,677 | utf_8 | 40c9bb130ec46ca33912f804e87f2eac | % PLOTFRAME - plots a coordinate frame specified by a homogeneous transform
%
% Usage: function plotframe(T, len, label)
%
% Arguments:
% T - 4x4 homogeneous transform
% len - length of axis arms to plot (defaults to 1)
% label - text string to append to x,y,z labels on axes
%
% len and label are optio... |
github | Ciaran1981/SeAMS-master | newangleaxis.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/newangleaxis.m | 1,101 | utf_8 | 4ad89dd95a736dff8b3603430648964c | % NEWANGLEAXIS - Constructs angle-axis descriptor
%
% Usage: t = newangleaxis(theta, axis)
%
% Arguments: theta - angle of rotation
% axis - 3-vector defining axis of rotation
% Returns: t - 3-vector giving rotation axis with magnitude equal to the
% rotation angle in radians.
%
% S... |
github | Ciaran1981/SeAMS-master | rotz.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/rotz.m | 593 | utf_8 | 485891081a31d4907a07ce934642fea2 | % ROTZ - Homogeneous transformation for a rotation about the z axis
%
% Usage: T = rotz(theta)
%
% Argument: theta - rotation about z axis
% Returns: T - 4x4 homogeneous transformation matrix
%
% See also: TRANS, ROTX, ROTY, INVHT
% Copyright (c) 2001 Peter Kovesi
% School of Computer Science & Software Engin... |
github | Ciaran1981/SeAMS-master | angleaxis2matrix.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/angleaxis2matrix.m | 1,793 | utf_8 | 0252f63ff9c4999658e4db8055454f0c | % ANGLEAXIS2MATRIX - converts angle-axis descriptor to 4x4 homogeneous
% transformation matrix
%
% Usage: T = amgleaxis2matrix(t)
%
% Argument: t - 3-vector giving rotation axis with magnitude equal to the
% rotation angle in radians.
% Returns: T - 4x4 Homogeneous transformation matrix
%
% See a... |
github | Ciaran1981/SeAMS-master | matrix2quaternion.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/matrix2quaternion.m | 2,010 | utf_8 | ad7a1983aceaa9953be167eddabb22ae | % MATRIX2QUATERNION - Homogeneous matrix to quaternion
%
% Converts 4x4 homogeneous rotation matrix to quaternion
%
% Usage: Q = matrix2quaternion(T)
%
% Argument: T - 4x4 Homogeneous transformation matrix
% Returns: Q - a quaternion in the form [w, xi, yj, zk]
%
% See Also QUATERNION2MATRIX
% Copyright (c) 2008 ... |
github | Ciaran1981/SeAMS-master | vector2quaternion.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/vector2quaternion.m | 563 | utf_8 | a87aa8408a94f8010721a2ea603c64f9 | % VECTOR2QUATERNION - embeds 3-vector in a quaternion representation
%
% Usage: Q = vector2quaternion(v)
%
% Argument: v - 3-vector
% Returns: Q - Quaternion given by [0; v(:)]
%
% See also: NEWQUATERNION, QUATERNIONROTATE, QUATERNIONPRODUCT, QUATERNIONCONJUGATE
% Copyright (c) 2008 Peter Kovesi
% School of Compute... |
github | Ciaran1981/SeAMS-master | invht.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/invht.m | 505 | utf_8 | 62f8fca3096c7b08ba22952fef7e6416 | % INVHT - inverse of a homogeneous transformation matrix
%
% Usage: Tinv = invht(T)
%
% Argument: T - 4x4 homogeneous transformation matrix
% Returns: Tinv - inverse
%
% See also: TRANS, ROTX, ROTY, ROTZ
% Copyright (c) 2001 Peter Kovesi
% School of Computer Science & Software Engineering
% The University of ... |
github | Ciaran1981/SeAMS-master | roty.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/roty.m | 589 | utf_8 | 1523f4098a8a375de8eed1c69ae75c92 | % ROTY - Homogeneous transformation for a rotation about the y axis
%
% Usage: T = roty(theta)
%
% Argument: theta - rotation about y axis
% Returns: T - 4x4 homogeneous transformation matrix
%
% See also: TRANS, ROTX, ROTZ, INVHT
% Copyright (c) 2001 Peter Kovesi
% School of Computer Science & Software Engin... |
github | Ciaran1981/SeAMS-master | invrpy.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/invrpy.m | 1,251 | utf_8 | 327fc230e354d616448b0620e8b51b4f | % INVRPY - inverse of Roll Pitch Yaw transform
%
% Usage: [rpy1, rpy2] = invrpy(RPY)
%
% Argument: RPY - 4x4 Homogeneous transformation matrix or 3x3 rotation matrix
% Returns: rpy1 = [phi1, theta1, psi1] - the 1st solution and
% rpy2 = [phi2, theta2, psi2] - the 2nd solution
%
% rotx(phi1)*roty(theta1)*... |
github | Ciaran1981/SeAMS-master | normaliseangleaxis.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/normaliseangleaxis.m | 995 | utf_8 | a160233e601e4a5bf231afef48739445 | % NORMALISEANGLEAXIS - normalises angle-axis descriptor
%
% Function normalises theta so that it has maximum magnitude of pi to ensure one-to-one
% mapping between angle-axis descriptor and resulting rotation
%
% Usage: t2 = normaliseangleaxis(t)
%
% Argument: t - 3-vector giving rotation axis with magnitude equal t... |
github | Ciaran1981/SeAMS-master | quaternionconjugate.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/quaternionconjugate.m | 525 | utf_8 | d7df86d9770e7881f0cda73f664a8be5 | % QUATERNIONCONJUGATE - Conjugate of a quaternion
%
% Usage: Qconj = quaternionconjugate(Q)
%
% Argument: Q - Quaternions in the form Q = [Qw Qi Qj Qk]
% Returns: Qconj - Conjugate
%
% See also: NEWQUATERNION, QUATERNIONROTATE, QUATERNIONPRODUCT
% Copyright (c) 2008 Peter Kovesi
% School of Computer Science & So... |
github | Ciaran1981/SeAMS-master | dhtrans.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/dhtrans.m | 1,161 | utf_8 | 817bf7d3f603627a2da4773fefc67097 | % DHTRANS - computes Denavit Hartenberg matrix
%
% This function calculates the 4x4 homogeneous transformation matrix, representing
% the Denavit Hartenberg matrix, given link parameters of joint angle, length, joint
% offset and twist.
%
% Usage: T = DHtrans(theta, offset, length, twist)
%
% Arguments: theta - joint... |
github | Ciaran1981/SeAMS-master | matrix2angleaxis.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/matrix2angleaxis.m | 2,351 | utf_8 | 1c675a6fc3be8ab220ce1ca0f2adde3b | % MATRIX2ANGLEAXIS - Homogeneous matrix to angle-axis description
%
% Usage: t = matrix2angleaxis(T)
%
% Argument: T - 4x4 Homogeneous transformation matrix
% Returns: t - 3-vector giving rotation axis with magnitude equal to the
% rotation angle in radians.
%
% See also: ANGLEAXIS2MATRIX, ANGLEAXI... |
github | Ciaran1981/SeAMS-master | quaternionproduct.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/quaternionproduct.m | 818 | utf_8 | bcfe792d9518a1c110b9957970f4f7c8 | % QUATERNIONPRODUCT - Computes product of two quaternions
%
% Usage: Q = quaternionproduct(A, B)
%
% Arguments: A, B - Quaternions assumed to be 4-vectors in the
% form A = [Aw Ai Aj Ak]
% Returns: Q - Quaternion product
%
% See also: NEWQUATERNION, QUATERNIONROTATE, QUATERNIONCONJUGATE
% Copyr... |
github | Ciaran1981/SeAMS-master | quaternion2matrix.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/quaternion2matrix.m | 1,413 | utf_8 | 7296cadf62f6ca9273e726ffd7e19d95 | % QUATERNION2MATRIX - Quaternion to a 4x4 homogeneous transformation matrix
%
% Usage: T = quaternion2matrix(Q)
%
% Argument: Q - a quaternion in the form [w xi yj zk]
% Returns: T - 4x4 Homogeneous rotation matrix
%
% See also MATRIX2QUATERNION, NEWQUATERNION, QUATERNIONROTATE
% Copyright (c) 2008 Peter Kovesi
... |
github | Ciaran1981/SeAMS-master | newquaternion.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/newquaternion.m | 647 | utf_8 | a36af1ff9a23186bd42b779523671cea | % NEWQUATERNION - Construct quaternion
%
% Q = newquaternion(theta, axis)
%
% Arguments: theta - angle of rotation
% axis - 3-vector defining axis of rotation
% Returns: Q - a quaternion in the form [w xi yj zk]
%
% See Also: QUATERNION2MATRIX, MATRIX2QUATERNION, QUATERNIONROTATE
% Copyright (c) ... |
github | Ciaran1981/SeAMS-master | quaternionrotate.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/quaternionrotate.m | 2,026 | utf_8 | e0b6a4a18c8be41ee01226e17cbd83e8 | % QUATERNIONROTATE - Rotates a 3D vector by a quaternion
%
% Usage: vnew = quaternionrotate(Q, v)
%
% Arguments: Q - a quaternion in the form [w xi yj zk]
% v - a vector to rotate, either an inhomogeneous 3-vector or a
% homogeneous 4-vector
% Returns: vnew - rotated vector
%
% See also MATRI... |
github | Ciaran1981/SeAMS-master | inveuler.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/inveuler.m | 1,220 | utf_8 | 5ebf0b9f54aead905ee1300724228adc | % INVEULER - inverse of Euler transform
%
% Usage: [euler1, euler2] = inveuler(T)
%
% Argument: T - 4x4 Homogeneous transformation matrix or 3x3 rotation matrix
% Returns: euler1 = [phi1, theta1, psi1] - the 1st solution and,
% euler2 = [phi2, theta2, psi2] - the 2nd solution
%
% rotz(phi1)*roty(theta1)*rot... |
github | Ciaran1981/SeAMS-master | ternarymix.m | .m | SeAMS-master/Utilities/MatlabFns/Blender/ternarymix.m | 13,368 | utf_8 | 53527c33bc58e77326e03f0354a5bbb6 | % TERNARYMIX Image blending and swiping over three images
%
% Function uses Barycentric coordinates over a triangle to interpolate/blend
% three images. You can also switch to a swiping mode of display between the
% three images.
%
% Usage: ternarymix(im, nodeLabel, normBlend, figNo)
%
% Arguments: im - 3-element c... |
github | Ciaran1981/SeAMS-master | binarymix.m | .m | SeAMS-master/Utilities/MatlabFns/Blender/binarymix.m | 11,564 | utf_8 | 53c5c89d010c8dc56ca1daef824526f9 | % BINARYMIX Image blending and swiping between two images
%
% Function blends two images. Each image is coloured with two lightness
% matched colours that sum to white. Like a ternary image but binary!
% You can also switch between blending and swiping.
%
% Usage: binarymix(im, nodeLabel, normBlend, figNo)
%
% Argume... |
github | Ciaran1981/SeAMS-master | logisticweighting.m | .m | SeAMS-master/Utilities/MatlabFns/Blender/logisticweighting.m | 3,064 | utf_8 | 2896739e6134ef8ef15bfd4bc3726f12 | % LOGISTICWEIGHTING Weighting function based on the logistics function
%
% Adaptation of the generalised logistics function for defining the variation of
% a weighting function for blending images
%
% Usage: w = logisticweighting(x, b, R)
%
% Arguments: x - Value, or array of values at which to evaluate the weightin... |
github | Ciaran1981/SeAMS-master | cyclemix.m | .m | SeAMS-master/Utilities/MatlabFns/Blender/cyclemix.m | 9,035 | utf_8 | 3290a5ce842ce329f1eb6607a37fd6af | % CYCLEMIX Multi-image blending over a cyclic sequence of images
%
% Usage: cyclemix(im, figNo, nodeLabel)
%
% Arguments:
% im - A cell array of images to be blended. If omitted, or
% empty, the user is prompted to select images via a file
% dialog.
% figNo ... |
github | Ciaran1981/SeAMS-master | swipe.m | .m | SeAMS-master/Utilities/MatlabFns/Blender/swipe.m | 4,265 | utf_8 | 127b092d90f1b8edeb9f165489e6bcb0 | % SWIPE Interactive image swiping between 2, 3 or 4 images.
%
% Usage swipe(im, figNo)
%
% Arguments: im - 2D Cell array of images to be blended. Two, three or four
% images can be blended.
% figNo - Optional figure window number to use.
%
% Click in the image to toggle in/out of swiping m... |
github | Ciaran1981/SeAMS-master | cliquemix.m | .m | SeAMS-master/Utilities/MatlabFns/Blender/cliquemix.m | 15,564 | utf_8 | 8d782463d2676131bc2e13681c3bd26e | % CLIQUEMIX Multi-image blending and swiping over a clique
%
% Function allows blending and swiping between any pair within a collection of images
%
% Usage: cliquemix(im, B, figNo, nodeLabel)
%
% Arguments:
% im - A cell array of images to be blended. If omitted, or
% empty, the user i... |
github | Ciaran1981/SeAMS-master | collectncheckimages.m | .m | SeAMS-master/Utilities/MatlabFns/Blender/collectncheckimages.m | 5,392 | utf_8 | 7f3d2bd790c314d39156748f34dce0ed | % COLLECTNCHECKIMAGES Collects and checks images prior to blending
%
% Usage: [im, nImages, fname, pathname] = collectncheckimages(im)
%
% Used by image blending functions
%
% Argument: im - Cell arry of images. If omitted a dialog box is
% presented so that images can be selected interactively.
%... |
github | Ciaran1981/SeAMS-master | linimix.m | .m | SeAMS-master/Utilities/MatlabFns/Blender/linimix.m | 6,472 | utf_8 | c68afc24d26a59ce58a2fff608c974ee | % LINIMIX An Interactive Image for viewing multiple images
%
% Usage: linimix(im, B, figNo, XY)
%
% Arguments: im - 1D Cell array of images to be blended. If this is not
% supplied, or is empty, the user is prompted with a file
% dialog to select a series of images.
% ... |
github | Ciaran1981/SeAMS-master | bilinimix.m | .m | SeAMS-master/Utilities/MatlabFns/Blender/bilinimix.m | 5,635 | utf_8 | f1768150812e05ba0dbf1f8ac2b8e2ec | % BILINIMIX An Interactive Image for viewing multiple images
%
% Usage: bilinimix(im, figNo)
%
% Arguments: im - 2D Cell array of greyscale images to be blended.
% figNo - Optional figure window number to use.
%
% This function provides an 'Interactive Image'. It is intended to allow
% efficient visual e... |
github | Ciaran1981/SeAMS-master | findendsjunctions.m | .m | SeAMS-master/Utilities/MatlabFns/LineSegments/findendsjunctions.m | 3,885 | utf_8 | 1c766254222e0b8fd5326786249247bf | % FINDENDSJUNCTIONS - find junctions and endings in a line/edge image
%
% Usage: [rj, cj, re, ce] = findendsjunctions(edgeim, disp)
%
% Arguments: edgeim - A binary image marking lines/edges in an image. It is
% assumed that this is a thinned or skeleton image
% disp - An optional... |
github | Ciaran1981/SeAMS-master | selectseg.m | .m | SeAMS-master/Utilities/MatlabFns/LineSegments/selectseg.m | 3,097 | utf_8 | bdbe2a909309c465b0131e308d8ddc32 | % SELECTSEG - Interactive selection of linesegments with mouse.
%
% Usage: segs = selectseg(seglist);
%
% seglist - an Nx4 array storing line segments in the form
% [x1 y1 x2 y2
% x1 y1 x2 y2
% . . ] etc
%
%
% See al... |
github | Ciaran1981/SeAMS-master | maxlinedev.m | .m | SeAMS-master/Utilities/MatlabFns/LineSegments/maxlinedev.m | 2,478 | utf_8 | 64cc6d88009aa2a148c843e2d4041218 | % MAXLINEDEV - Find max deviation from a line in an edge contour.
%
% Function finds the point of maximum deviation from a line joining the
% endpoints of an edge contour.
%
% Usage: [maxdev, index, D, totaldev] = maxlinedev(x,y)
%
% Arguments:
% x, y - arrays of x,y (col,row) indicies of connected pixels... |
github | Ciaran1981/SeAMS-master | drawedgelist.m | .m | SeAMS-master/Utilities/MatlabFns/LineSegments/drawedgelist.m | 5,139 | utf_8 | 37224c54b8034d4fadf13c9b60861db5 | % DRAWEDGELIST - plots pixels in edgelists
%
% Usage: h = drawedgelist(edgelist, rowscols, lw, col, figno, mid)
%
% Arguments:
% edgelist - Cell array of edgelists in the form
% { [r1 c1 [r1 c1 etc }
% ...
% rN cN] ....]
% rowscols - ... |
github | Ciaran1981/SeAMS-master | lineseg.m | .m | SeAMS-master/Utilities/MatlabFns/LineSegments/lineseg.m | 3,017 | utf_8 | ff2e4a5d3f9faabdf548561ed00b22b6 | % LINESEG - Form straight line segements from an edge list.
%
% Usage: seglist = lineseg(edgelist, tol)
%
% Arguments: edgelist - Cell array of edgelists where each edgelist is an
% Nx2 array of (row col) coords.
% tol - Maximum deviation from straight line before a
% ... |
github | Ciaran1981/SeAMS-master | cleanedgelist.m | .m | SeAMS-master/Utilities/MatlabFns/LineSegments/cleanedgelist.m | 13,314 | utf_8 | a79468f2b92f2ce262730a04d766d643 | % CLEANEDGELIST - remove short edges from a set of edgelists
%
% Function to clean up a set of edge lists generated by EDGELINK so that
% isolated edges and spurs that are shorter that a minimum length are removed.
% This code can also be use with a set of line segments generated by LINESEG.
%
% Usage: nedgelist = clea... |
github | Ciaran1981/SeAMS-master | edgelink.m | .m | SeAMS-master/Utilities/MatlabFns/LineSegments/edgelink.m | 21,107 | utf_8 | 25bee720223bdbc51946de674aa2d085 | % EDGELINK - Link edge points in an image into lists
%
% Usage: [edgelist edgeim, etypr] = edgelink(im, minlength, location)
%
% **Warning** 'minlength' is ignored at the moment because 'cleanedgelist'
% has some bugs and can be memory hungry
%
% Arguments: im - Binary edge image, it is assu... |
github | Ciaran1981/SeAMS-master | edgelist2image.m | .m | SeAMS-master/Utilities/MatlabFns/LineSegments/edgelist2image.m | 2,027 | utf_8 | 5c5436b3f23a712f883ddb43a21e1d1c | % EDGELIST2IMAGE - transfers edgelist data back into a 2D image array
%
% Usage: im = edgelist2image(edgelist, rowscols)
%
% edgelist - Cell array of edgelists in the form
% { [r1 c1 [r1 c1 etc }
% ...
% rN cN] ....]
% rowscols - Opt... |
github | Ciaran1981/SeAMS-master | bandpassfilter.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/bandpassfilter.m | 1,514 | utf_8 | d98c0b715b1b05c4e8c5e415a260dd2c | % BANDPASSFILTER - Constructs a band-pass butterworth filter
%
% usage: f = bandpassfilter(sze, cutin, cutoff, n)
%
% where: sze is a two element vector specifying the size of filter
% to construct [rows cols].
% cutin and cutoff are the frequencies defining the band pass 0 - 0.5
% n ... |
github | Ciaran1981/SeAMS-master | upwardcontinue.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/upwardcontinue.m | 4,042 | utf_8 | c50e198c0e568fd171e5713d3d05342b | % UPWARDCONTINUE Upward continuation for magnetic or gravity potential field data
%
% Usage: [up, pim, psf] = upwardcontinue(im, h, dx, dy)
%
% Arguments: im - Input potential field image
% h - Height to upward continue to (+ve)
% dx, dy - Grid spacing in x and y. The upward continuation height
... |
github | Ciaran1981/SeAMS-master | highboostfilter.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/highboostfilter.m | 1,962 | utf_8 | ada657e25d617c134fb03bf410b0be5b | % HIGHBOOSTFILTER - Constructs a high-boost Butterworth filter.
%
% usage: f = highboostfilter(sze, cutoff, n, boost)
%
% where: sze is a two element vector specifying the size of filter
% to construct [rows cols].
% cutoff is the cutoff frequency of the filter 0 - 0.5.
% n is the ... |
github | Ciaran1981/SeAMS-master | invfft2.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/invfft2.m | 250 | utf_8 | 41b97c8ab7dc15522b2c5a414bf55b38 | % INVFFT2 - takes inverse fft and returns real part
%
% Function to `wrap up' taking the inverse Fourier transform
% and extracting the real part into the one operation
% Peter Kovesi October 1999
function ift = invfft2(ft)
ift = real(ifft2(ft));
|
github | Ciaran1981/SeAMS-master | lowpassfilter.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/lowpassfilter.m | 2,448 | utf_8 | 1bdb6b9b70b06af9d2bc12b6b877da54 | % LOWPASSFILTER - Constructs a low-pass butterworth filter.
%
% usage: f = lowpassfilter(sze, cutoff, n)
%
% where: sze is a two element vector specifying the size of filter
% to construct [rows cols].
% cutoff is the cutoff frequency of the filter 0 - 0.5
% n is the order of the f... |
github | Ciaran1981/SeAMS-master | imspect.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/imspect.m | 4,926 | utf_8 | 1567515542e483c4deb2ccc804ff7ac9 | % IMSPECT - Plots image amplitude spectrum averaged over all orientations.
%
% Usage: [amp, f, slope] = imspect(im, nbins, lowcut)
% \ /
% optional
% Arguments:
% im - Image to be analysed.
% nbins - ... |
github | Ciaran1981/SeAMS-master | psf.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/psf.m | 2,323 | utf_8 | de5c27f8dd4eb69a3ae36c1be3f20990 | % PSF - Generates point spread functions for use with deconvolution fns.
%
% This function can generate a variety function shapes based around the
% Butterworth filter. In plan view the filter can be elliptical and at
% any orientation. The `squareness/roundness' of the shape can also be
% manipulated.
%
% Usag... |
github | Ciaran1981/SeAMS-master | filtergrid.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/filtergrid.m | 2,441 | utf_8 | a196e165846902098ffcbc16ddf71f6c | % FILTERGRID Generates grid for constructing frequency domain filters
%
% Usage: [radius, u1, u2] = filtergrid(rows, cols)
% [radius, u1, u2] = filtergrid([rows, cols])
%
% Arguments: rows, cols - Size of image/filter
%
% Returns: radius - Grid of size [rows cols] containing normalised
% ... |
github | Ciaran1981/SeAMS-master | highpassfilter.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/highpassfilter.m | 1,443 | utf_8 | 78f60a0dd6f0ef66653d547868fad1f9 | % HIGHPASSFILTER - Constructs a high-pass butterworth filter.
%
% usage: f = highpassfilter(sze, cutoff, n)
%
% where: sze is a two element vector specifying the size of filter
% to construct [rows cols].
% cutoff is the cutoff frequency of the filter 0 - 0.5
% n is the order of t... |
github | Ciaran1981/SeAMS-master | circsine.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/circsine.m | 4,364 | utf_8 | 4b2d3f6974bd3cd11dde7d3b2a600790 | % CIRCSINE Generates circular sine wave grating
% Can also be use to construct phase congruent patterns
%
% Usage: im = circsine(sze, wavelength, nScales, ampExponent, offset, p, trim)
%
% Arguments:
% sze - The size of the square image to be produced.
% wavelength - The wavelength in pixe... |
github | Ciaran1981/SeAMS-master | starsine.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/starsine.m | 2,906 | utf_8 | 929263192b6c499585f5af175f649a83 | % STARSINE Generates phase congruent star shaped sine wave grating
%
% Usage: im = starsine(sze, nCycles, nScales, ampExponent, offset)
%
% Arguments:
% sze - The size of the square image to be produced.
% nCycles - The number of sine wave cycles around centre point.
% ... |
github | Ciaran1981/SeAMS-master | freqcomp.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/freqcomp.m | 5,474 | utf_8 | 58a18bdbdc50fca6a82844487445c5ad | % FREQCOMP - Demonstrates image reconstruction from Fourier components
%
% Usage: recon = freqcomp(im, Npts, delay)
%
% Arguments: im - Image to be reconstructed.
% Npts - Number of frequency components to consider
% (defaults to 50).
% delay - Optional ... |
github | Ciaran1981/SeAMS-master | psf2.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/psf2.m | 3,000 | utf_8 | 20d5aff861110c5341b9d6fec90f8007 | % PSF2 - Generates point spread functions for use with deconvolution fns.
%
% This function can generate a variety function shapes based around the
% Butterworth filter. In plan view the filter can be elliptical and at
% any orientation. The 'squareness/roundness' of the shape can also be
% manipulated.
%
% Usa... |
github | Ciaran1981/SeAMS-master | perfft2.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/perfft2.m | 3,150 | utf_8 | 8216912bde513f4fbc7b59635da9d870 | % PERFFT2 2D Fourier transform of Moisan's periodic image component
%
% Usage: [P, S, p, s] = perfft2(im)
%
% Argument: im - Image to be transformed
% Returns: P - 2D fft of periodic image component
% S - 2D fft of smooth component
% p - Periodic component (spatial domain)
% s -... |
github | Ciaran1981/SeAMS-master | invfft2shft.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/invfft2shft.m | 308 | utf_8 | 1ee9d3b8e1e84f25b0fb5503595f7bfa | % INVFFT2SHFT - takes inverse fft, quadrant shifts and returns real part.
%
% Function to `wrap up' taking the inverse Fourier transform
% quadrant shifting and extraction of the real part into the one operation
% Peter Kovesi October 1999
function ift = invfft2shft(ft)
ift = fftshift(real(ifft2(ft)));
|
github | Ciaran1981/SeAMS-master | quantizephase.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/quantizephase.m | 1,944 | utf_8 | c4d5690a2daf54b63e4c2fd0ccecb488 | % QUANTIZEPHASE Quantize phase values in an image
%
% Usage: qim = quantizephase(im, N)
%
% Arguments: im - Image to be processed
% N - Desired number of quantized phase values
%
% Returns: qim - Phase quantized image
%
% Phase values in an image are important. However, despite this, they can be
% qua... |
github | Ciaran1981/SeAMS-master | homomorphic.m | .m | SeAMS-master/Utilities/MatlabFns/FrequencyFilt/homomorphic.m | 5,424 | utf_8 | 51155a84aab5eba10f502eb788a81b16 | % HOMOMORPHIC - Performs homomorphic filtering on an image.
%
% Function performs homomorphic filtering on an image. This form of
% filtering sharpens features and flattens lighting variantions in an image.
% It usually is very effective on images which have large variations in
% lighting, for example when a subject ap... |
github | Ciaran1981/SeAMS-master | uigetvariables.m | .m | SeAMS-master/Utilities/Miscellaneous/uigetvariables.m | 16,902 | utf_8 | f4620a99811d119011fab23a47c295ed | function varout = uigetvariables(prompts,intro,types,ndimensions)
%%
% uigetvariables Open variable selection dialog box
%
% VARS = uigetvariables(PROMPTS) creates a dialog box that returns
% variables selected from the base workspace. PROMPTS is a cell array of
% strings, with one entry for each variable you w... |
github | Ciaran1981/SeAMS-master | manual_thresh.m | .m | SeAMS-master/Utilities/manual_thresh/manual_thresh.m | 19,169 | utf_8 | 2792d784903dcb7c3d71724a8f33502a | function [level,level2,bw] = manual_thresh(im,cmap,defaultLevel) %mainfunction
% manual_thresh Interactively select intensity levels band for image thresholding.
% manual_thresh launches a GUI (graphical user interface) for thresholding
% an intensity input image, IM. IM is displayed in the top of the figure ... |
github | Ciaran1981/SeAMS-master | ImportAsciiRaster.m | .m | SeAMS-master/Utilities/ImportAsciiRaster/ImportAsciiRaster.m | 10,699 | utf_8 | 1de28239be4ab728680d905e26553ca9 | function [Z R] = ImportAsciiRaster(varargin)
% [Z R] = ImportAsciiRaster(...)
%
% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % %
% % %
% % Produced by Giuliano Langella %
% % ... |
github | Ciaran1981/SeAMS-master | membership2.m | .m | SeAMS-master/Utilities/Membership/membership2.m | 489 | utf_8 | 6c25e6d8e6b2b2546bccb5fbf7de2f27 |
function [Seg2] = membership2(Seg,Mem_Class_BW)
% Author: Ciaran Robb
% Membership function
% Acknowledgement: Peter Kovesi for his renumberregions function
% Outputs: a int32 labeled image from an arbitrarily labeled one
% Seg = segmented image labeled with integers
% Inputs
% Mem_Class_BW = either a... |
github | Ciaran1981/SeAMS-master | membership.m | .m | SeAMS-master/Utilities/Membership/membership.m | 587 | utf_8 | f620500170f18624167d1ed67d895143 | %Membership function
%Outputs a binary image & int32 label image
%Seg = segmented image labeled with integers
%label_Vector = vector with segment properties(eg cluster val, slope val)
%statement = boolean rule e.g KMEAN ==3 or >3 or whatevs
function [Seg2] = membership(Seg,statement)
Seg2 = Seg;
Allow =... |
github | Ciaran1981/SeAMS-master | colorscale2.m | .m | SeAMS-master/Utilities/colorscale/colorscale2.m | 1,041 | utf_8 | 392570709b7350e76d705821abb7e599 | %Allows visualisation of labeled object properties (such as a kmean
%value or slope value)via a colormap
%
%output results are superimposed on a background image such as a dem
function colorscale2(Scale,Seg,hillshd)
%Scale = array with each object value eg mean slope or kmean value
%Props = the image objects - ... |
github | Ciaran1981/SeAMS-master | SeAMS.m | .m | SeAMS-master/MainMenu/SeAMS.m | 5,600 | utf_8 | 5fa29b89852c96072094fe511839969d | function varargout = SeAMS(varargin)
% SEAMS MATLAB code for SeAMS.fig
% SEAMS, by itself, creates a new SEAMS or raises the existing
% singleton*.
%
% H = SEAMS returns the handle to a new SEAMS or the handle to
% the existing singleton*.
%
% SEAMS('CALLBACK',hObject,eventData,handles,...) cal... |
github | Ciaran1981/SeAMS-master | OBIAmainGUI.m | .m | SeAMS-master/MainMenu/OBIAmainGUI.m | 5,739 | utf_8 | 2c1ea18d821c12f3cf7451713c0063c6 | function varargout = OBIAmainGUI(varargin)
% OBIAMAINGUI MATLAB code for OBIAmainGUI.fig
% OBIAMAINGUI, by itself, creates a new OBIAMAINGUI or raises the existing
% singleton*.
%
% H = OBIAMAINGUI returns the handle to a new OBIAMAINGUI or the handle to
% the existing singleton*.
%
% OBIAMAING... |
github | Ciaran1981/SeAMS-master | GetSkewAndKurtosis.m | .m | SeAMS-master/Stats/GetSkewAndKurtosis.m | 1,249 | utf_8 | 265531d940e9066de44d2df78ff072ba | %------------------------------------------------------------------------------------------------------
% Get the skew and kurtosis from the histogram bin values.
% Uses formulas from http://itl.nist.gov/div898/handbook/eda/section3/eda35b.htm
% Courtesy of Image Analyst, Matlab Central file exchange
function [skew... |
github | Ciaran1981/SeAMS-master | Ctextprops.m | .m | SeAMS-master/Stats/Ctextprops.m | 1,569 | utf_8 | 7836ad08a9f063364a2e3e2c4e7a3c65 | %Author: Ciaran Robb
% Segment Pixel statistics
% Acknowledgements to Image Analyst for the GetSkewAndKurtosis function
% Loops through each region/segment extracting pixel statistics and outputs
% the following:
% TextStats = 7 by n of statistical props of region pixel vals
% Each 'stat vector' can be called v... |
github | Ciaran1981/SeAMS-master | cotextureprops.m | .m | SeAMS-master/Stats/cotextureprops.m | 1,209 | utf_8 | e910c9d832aa6f0bd12d3d0fd0c00a56 | %Graycoprops loop
%Author: Ciaran Robb
%This function allows texture propeties based on relationship 'in space'
%rather than simply the DN vals
%Takes the binary mask from regionprops('Image') and calls masked pixel
%values from an image
%struct = regionprops.Image (Boundingbox of object with mask pixels==1
%s... |
github | Ciaran1981/SeAMS-master | SVC.m | .m | SeAMS-master/Stats/SVC.m | 28,567 | utf_8 | b770fcfa307625b05a5e1d8852cb9403 | % Statistics, visualisation and classification
% Author Ciaran Robb
% Written with GUIDE, this GUI provides functions for the calculation and
% display and classification of segment statistics.
% Acknowledgements for material adapted form the Matlab file exchange:
% Anton Semechko for the adaptation of his fuzzy cmean... |
github | Ciaran1981/SeAMS-master | ImageStats.m | .m | SeAMS-master/Stats/ImageStats.m | 28,724 | utf_8 | b438db423579b557837bd65143727707 | % Statistics, visualisation and classification
% Author Ciaran Robb
% Written with GUIDE, this GUI provides functions for the calculation and
% display and classification of segment statistics.
% Acknowledgements for material adapted form the Matlab file exchange:
% Anton Semechko for the adaptation of his fuzzy cmean... |
github | Ciaran1981/SeAMS-master | kmeansxx.m | .m | SeAMS-master/Classify/kmeans++/kmeansxx.m | 2,910 | utf_8 | a3faae98bf59aaeeba031cc316e05061 | function [L,C] = kmeansxx(X,k)
%KMEANS Cluster multivariate data using the k-means++ algorithm.
% [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class
% label per column in X and a size(X,1)-by-k matrix C containing the
% centers corresponding to each class.
% Version: 2013-02-08
% Authors: ... |
github | Ciaran1981/SeAMS-master | kxxGUI.m | .m | SeAMS-master/Classify/kmeans++/kxxGUI.m | 8,900 | utf_8 | 8620835bd7444ddbb0366f2a34c2e802 | function varargout = kxxGUI(varargin)
% KXXGUI MATLAB code for kxxGUI.fig
% KXXGUI, by itself, creates a new KXXGUI or raises the existing
% singleton*.
%
% H = KXXGUI returns the handle to a new KXXGUI or the handle to
% the existing singleton*.
%
% KXXGUI('CALLBACK',hObject,eventData,handles,... |
github | Ciaran1981/SeAMS-master | SegmentationGUI.m | .m | SeAMS-master/SegmentationOBIA/SegmentationGUI.m | 11,708 | utf_8 | 1dc49d3367b35a65a4b2b36ccc19b9c4 | % Segmentation GUI
% Authour: Ciaran Robb
% Written with guide, this GUI provides three means of segmentating an
% image and visualising the results
% Acknowledgements for adaptation of file exchange/publically availbale:
% Sean Lankton & Shai Bagon for the wrapping of EDISON C++ code
% Sylvan Boltz for the SRM functi... |
github | Ciaran1981/SeAMS-master | msseg.m | .m | SeAMS-master/SegmentationOBIA/MeanShift/msseg.m | 1,378 | utf_8 | 657017fe6adeb096ffb573671357c921 | % Performing mean_shift image segmentation using EDISON code implementation
% of Comaniciu's paper with a MEX wrapper from Shai Bagon. links at bottom
% of help
%
% Usage:
% [S L grad conf] = msseg(I,hs,hr,M)
%
% Inputs:
% I - original image in RGB or grayscale
% hs - spatial bandwith for mean shift... |
github | Ciaran1981/SeAMS-master | edison_wrapper.m | .m | SeAMS-master/SegmentationOBIA/MeanShift/edison_matlab_interface/edison_wrapper.m | 6,071 | utf_8 | e38b90d4d1c4979c05527087208324c4 | function [varargout] = edison_wrapper(rgbim, featurefun, varargin)
%
% Performing mean_shift operation on image
%
% Usage:
% [fimage labels modes regSize grad conf] = edison_wrapper(rgbim, featurefunc, ...)
%
% Inputs:
% rgbim - original image in RGB space
% featurefunc - converting RGB to some feature space in ... |
github | Ciaran1981/SeAMS-master | srm_getborders.m | .m | SeAMS-master/SegmentationOBIA/srm/srm_getborders.m | 226 | utf_8 | 9f24b148c7e587960b326e5d9bfd11e3 |
function borders = srm_getborders(map)
dx = conv2(map, [-1 1], 'same');
dy = conv2(map, [-1 1]', 'same');
dy(end,:) = 0; % ignore the last row of dy
dx(:,end) = 0; % and the last col of dx
borders = find(dx ~= 0 | dy ~= 0);
|
github | Ciaran1981/SeAMS-master | srm.m | .m | SeAMS-master/SegmentationOBIA/srm/srm.m | 4,375 | utf_8 | 472ad0601f793c588e0136ebb29bf385 | % Statistical Region Merging
%
% Nock, Richard and Nielsen, Frank 2004. Statistical Region Merging. IEEE Trans. Pattern Anal. Mach. Intell. 26, 11 (Nov. 2004), 1452-1458.
% DOI= http://dx.doi.org/10.1109/TPAMI.2004.110
%Segmentation parameter Q; Q small few segments, Q large may segments
function [maps,images, im_fin... |
github | Ciaran1981/SeAMS-master | srmGUI.m | .m | SeAMS-master/SegmentationOBIA/srm/srmGUI.m | 9,479 | utf_8 | 1e16b5c97f7de9d1b52d0dedb28c309c | function varargout = srmGUI(varargin)
% SRMGUI MATLAB code for srmGUI.fig
% SRMGUI, by itself, creates a new SRMGUI or raises the existing
% singleton*.
%
% H = SRMGUI returns the handle to a new SRMGUI or the handle to
% the existing singleton*.
%
% SRMGUI('CALLBACK',hObject,eventData,handles,... |
github | mws262/MATLABImpedanceControlExample-master | Plotter.m | .m | MATLABImpedanceControlExample-master/Plotter.m | 6,269 | utf_8 | 0a6c3e6b52f07e49e907914089d1e67e | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Animate the acrobot after the MAIN script has been run.
%
% Matthew Sheen, 2014
%
% Note: data is passed from this to the callback functions in the figure
% object's UserData field.
% For compatibility with 2014a and earlier, I use se... |
github | tahmidmehdi/machine_learning_classification-master | TrainTestSVM.m | .m | machine_learning_classification-master/TrainTestSVM.m | 1,805 | utf_8 | 8041dedecf34ea1f501c246751569c0f | % Author: Tahmid Mehdi
% Trains data using SVM and performs k-fold cross-validation
% Performs SVM algorithm to classify data in X and calculates error rate and time elapsed.
% PRE: X is the matrix of inputs
% Y is the vector of class attributes
% folds is the number of tests to perform (int >=1)
function [... |
github | tahmidmehdi/machine_learning_classification-master | TestKMeans.m | .m | machine_learning_classification-master/TestKMeans.m | 1,128 | utf_8 | af5566d160717bf64d32a733098afa70 | % Author: Tahmid Mehdi
% Performs and tests k-means clustering
% Performs k-means algorithm to classify data in X and calculates accuracy rate and time elapsed.
% PRE: X is the matrix of inputs
% Y is the vector of class attributes
% k is the number of clusters (int >0)
% folds is the number of tests t... |
github | tahmidmehdi/machine_learning_classification-master | TestFCM.m | .m | machine_learning_classification-master/TestFCM.m | 1,283 | utf_8 | fb5bf28683276c30e65d6ee0d4c4e603 | % Author: Tahmid Mehdi
% Performs and tests fuzzy c-means clustering
% Performs fcm algorithm to classify data in X and calculates accuracy rate and time elapsed.
% PRE: X is the matrix of inputs
% Y is the vector of class attributes
% c is the number of clusters (int >0)
% folds is the number of tests... |
github | nickabattista/Ark-master | NonLinear_ODE.m | .m | Ark-master/Nonlinear_ODE_Spectral/NonLinear_ODE.m | 20,901 | utf_8 | 70f47302bfe235e99dcc0ec99d3e959a | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% This is a non-linear pseudo-spectral ODE solver over all R
%
% Author: Nicholas A. Battista
% Institution (current): The College of New Jersey (TCNJ)
% Institution (created): Rochester Institute of Technology
% Date Created: August ... |
github | nickabattista/Ark-master | Taylor_Series_Terms.m | .m | Ark-master/MAT331_Numerical_Analysis/Taylor_Series/Taylor_Series_Terms.m | 1,496 | utf_8 | 23bbfc1ba8c172b19f75aa4a24074bc9 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 1/10/18
%
% FUNCTION: for a provided error tolerance, computes # of terms necessary
% in Taylor Series for a particular x value
%
% Inputs: x: ... |
github | nickabattista/Ark-master | Taylor_Series_Playtime.m | .m | Ark-master/MAT331_Numerical_Analysis/Taylor_Series/Taylor_Series_Playtime.m | 1,774 | utf_8 | b88081c05b72e55056365cd05e0cdfb1 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 1/10/18
%
% FUNCTION: Finds scaling relation for # of terms in Taylor Series as moves
% away from Maclaurin Centered Point at a=0.
%
% Inputs: x:... |
github | nickabattista/Ark-master | Second_Order_BVP_Mixed_3_5Pt_Stencil.m | .m | Ark-master/MAT331_Numerical_Analysis/Stencils/Differentiation/Second_Order_BVP_Mixed_3_5Pt_Stencil.m | 3,894 | utf_8 | 54b56c3da6ff31f36ccfd228dbfc6e2d | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 3/4/18
%
% FUNCTION: compute the solution of the following BOUNDARY VALUE PROBLEM:
% u'' = f
% u(0) = 1; u(1) = 2;
%
% NOT... |
github | nickabattista/Ark-master | Second_Order_BVP.m | .m | Ark-master/MAT331_Numerical_Analysis/Stencils/Differentiation/Second_Order_BVP.m | 3,500 | utf_8 | 09b14df8c6b1942cd687613c578130a4 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 3/4/18
%
% FUNCTION: compute the solution of the following BOUNDARY VALUE PROBLEM:
% u'' = f
% u(0) = 1; u(1) = 2;
%
% NOT... |
github | nickabattista/Ark-master | Stencils_5Pt.m | .m | Ark-master/MAT331_Numerical_Analysis/Stencils/Differentiation/Stencils_5Pt.m | 1,290 | utf_8 | 656f69aeb44c750c2ba7b1b609a2d578 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 3/1/18
%
% FUNCTION: computes stencil weights (coefficients) for a 4-point stencil
% that approximates a function value at xR (the reference p... |
github | nickabattista/Ark-master | compute_Second_Order_BVP_Error.m | .m | Ark-master/MAT331_Numerical_Analysis/Stencils/Differentiation/compute_Second_Order_BVP_Error.m | 2,043 | utf_8 | 5f67163ca63cbd4a16035855c3c49a3d | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 3/4/18
%
% FUNCTION: compute the error when approximating the solution to the
% following BOUNDARY VALUE PROBLEM:
% u'' = f
% ... |
github | nickabattista/Ark-master | Second_Order_BVP_5Pt_Stencil.m | .m | Ark-master/MAT331_Numerical_Analysis/Stencils/Differentiation/Second_Order_BVP_5Pt_Stencil.m | 4,010 | utf_8 | 48a82fd2427fae0cfe43071856175377 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 3/4/18
%
% FUNCTION: compute the solution of the following BOUNDARY VALUE PROBLEM:
% u'' = f
% u(0) = 1; u(1) = 2;
%
% NOT... |
github | nickabattista/Ark-master | compute_Second_Order_BVP_Error_Compare.m | .m | Ark-master/MAT331_Numerical_Analysis/Stencils/Differentiation/compute_Second_Order_BVP_Error_Compare.m | 3,127 | utf_8 | 21af1be0831976b4cd1451230a67c305 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 3/22/18
%
% FUNCTION: compute the error when approximating the solution to the
% following BOUNDARY VALUE PROBLEM:
% u'' = f
% ... |
github | nickabattista/Ark-master | Stencils.m | .m | Ark-master/MAT331_Numerical_Analysis/Stencils/Differentiation/Stencils.m | 1,116 | utf_8 | 930b0fc84379ae1eb2cfee47074d22c5 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 3/1/18
%
% FUNCTION: computes stencil weights (coefficients) for a 4-point stencil
% that approximates a function value at xR (the reference p... |
github | nickabattista/Ark-master | Newton_Cotes_Romberg.m | .m | Ark-master/MAT331_Numerical_Analysis/Stencils/Integration/Newton_Cotes_Romberg.m | 5,497 | utf_8 | 424ac11bd5d63d087d7fc44b5c33e384 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nicholas Battista
% Institution: The College of NJ (TCNJ)
% Email: battistn[at]tcnj[.]edu
% Created: March 25, 2018
%
% This function numerically integrates a function, f(x) between integration
% bounds a and b. This function it int... |
github | nickabattista/Ark-master | Newton_Cotes.m | .m | Ark-master/MAT331_Numerical_Analysis/Stencils/Integration/Newton_Cotes.m | 3,335 | utf_8 | 46c00af417f2974f80e6471191cd6520 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%Author: Nicholas Battista
%Institution: The College of NJ (TCNJ)
%Email: battistn[at]tcnj[.]edu
%Created: March 25, 2018
%
%This function numerically integrates a function, f(x) between integration
%bounds a and b. This function it integrate... |
github | nickabattista/Ark-master | Standard_Interp.m | .m | Ark-master/MAT331_Numerical_Analysis/Interpolation/Standard_Interp.m | 1,815 | utf_8 | 0a5cae430d93cc3953f6f8a45aa1aa36 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 2/5/18
%
% FUNCTION: computes interpolation polynomial using the standard monomial
% basis
%
% Inputs: N: number of data points to interpola... |
github | nickabattista/Ark-master | test_QR_Algorithm.m | .m | Ark-master/MAT331_Numerical_Analysis/Numerical_Linear_Algebra/test_QR_Algorithm.m | 3,246 | utf_8 | ea4c757edaa0e519c6356590332f4b73 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 5/1/18
%
% FUNCTION: computes numerical eigenvalues using QR Algorithm
%
% Inputs:
%
% Returns:
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
github | nickabattista/Ark-master | Fixed_Point_Iteration.m | .m | Ark-master/MAT331_Numerical_Analysis/Root-Finding/Fixed_Point_Iteration.m | 1,574 | utf_8 | 602b4376febeab2881c2b51d42fb740e | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Nick Battista
% Instutition: TCNJ
% Course: MAT 331 (Numerical Analysis)
% Date: 1/20/18
%
% FUNCTION: computes the root of a function using Fixed-Pt Iteration to
% within a specified error tolerance
%
% Inputs: p0: ... |
github | nickabattista/Ark-master | Newton_Cotes.m | .m | Ark-master/Integration/Newton_Cotes.m | 3,048 | utf_8 | e91ce9d08461d61b54073fc91837df83 | function Newton_Cotes()
%Author: Nicholas Battista
%Institution: The College of NJ (TCNJ)
%Email: nickabattista[at]gmail[.]com
%Date of Last Revision: August 14, 2014
%This function numerically integrates a function, f(x) between integration
%bounds a and b. This function it integrates is found on line 134.
%It comp... |
github | nickabattista/Ark-master | bingo_bango.m | .m | Ark-master/Bingo/bingo_bango.m | 21,032 | utf_8 | 7a2752fd5c3bab0d3910190fa6eb6e8d | function bingo_bango()
% Author: Nicholas A. Battista
% University: UNC-CH
% First Created: January 19, 2015
% Last Revision: May 5, 2015
%
% This code plays the game of Bingo in a Monte Carlo setting,
% averaging N simulated games of Bingo for a specified number of bingo
% boards.
%
% It tries to answer the following... |
github | nickabattista/Ark-master | Interp.m | .m | Ark-master/Interpolation/Interp.m | 5,337 | utf_8 | fe9742b32ce148e917ab015a010fa097 | function Interp()
%Author: Nicholas Battista
%Date of Last Revision: August 14, 2014
%This function interpolates a function, f(x) [on line 228], using the
%Newton Interpolation Scheme.
%It interpolates over a uniform grid on interval [a,b] for a bunch of
%different studies using an increasing number of interpolatio... |
github | nickabattista/Ark-master | Power_Iteration.m | .m | Ark-master/MATBIO330_Mathematical_Biology/Class_Codes/Power_Iteration.m | 1,966 | utf_8 | 6f24f179cd155381defe85df2f4ba092 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FUNCTION: Computes approximations to the largest eigenvalue of a 3x3
% matrix using the Power Iteration. It then plots those
% approximations and plots the error betweens successive
% approximations
%
% Author: N... |
github | nickabattista/Ark-master | royalRoads.m | .m | Ark-master/MATBIO330_Mathematical_Biology/Class_Codes/Genetic_Algorithms/speedy_GA/royalRoads.m | 297 | utf_8 | c5c668ec83e1ad6483374cf69eb4a87a | % The royal roads function. The chromosome length (i.e. len)
% should be a multiple of 8
function fitness=R1(pop)
[popSize len]=size(pop);
fitness=zeros(popSize,1);
for i=1:8:len
temp=sum(pop(:,i:i+7),2);
temp=double(temp==8);
fitness=fitness+temp*8;
end
fitness=fitness';
|
github | nickabattista/Ark-master | oneMax.m | .m | Ark-master/MATBIO330_Mathematical_Biology/Class_Codes/Genetic_Algorithms/speedy_GA/oneMax.m | 66 | utf_8 | 31a9c0ac4446868351f87baa83fc5051 | % onemax
function fitness=oneMax(pop)
fitness=sum(pop,2)';
|
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