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value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | McStasMcXtrace/iFit-master | read_poscar.m | .m | iFit-master/Libraries/Loaders/read_poscar.m | 4,807 | utf_8 | 7f06e5dcae0b0f9fd5f0f693a936bd98 | % READ_POSCAR read a VASP POSCAR file
%
% Usage: s = read_poscar(filename)
%
% References:
% vasplab by Max Radin, 2012
% http://cms.mpi.univie.ac.at/vasp/guide/node59.html
% http://www.mathworks.com/matlabcentral/fileexchange/36836-vasplab
%
% Input: filename: VASP POSCAR file (string)
% o... |
github | McStasMcXtrace/iFit-master | read_stl.m | .m | iFit-master/Libraries/Loaders/read_stl.m | 15,433 | utf_8 | 506f4d058ba758f7f2531c8da964063f | function data=read_stl(file, option)
% read_stl read ascii and binary STL files
% data=read_stl(file)
%
% Grab plenty of STL files at: https://www.thingiverse.com/
%
% References:
% [f,v,c]=rndread from cad2matdemo Don Riley Jun 2003 : read ASCII STL with color
% <http://www.mathworks.com/matlabcentral/fileexchange... |
github | McStasMcXtrace/iFit-master | read_cbf.m | .m | iFit-master/Libraries/Loaders/read_cbf.m | 20,127 | utf_8 | bdb878b60a7eaaac65ff415eaa293a52 | % read_cbf Read CBF/imgCIF x-ray file format
% data = read_cbf(filename)
%
% Description:
% Macro for reading Crystallographic Binary File (CBF) files written by the
% Pilatus detector control program camserver.
%
% References:
% May 9th 2008, Oliver Bunk: 1st version
% <http://www.psi.ch/sls/csaxs/software>
% examp... |
github | McStasMcXtrace/iFit-master | read_sdf.m | .m | iFit-master/Libraries/Loaders/read_sdf.m | 163,766 | UNKNOWN | b3bec2b97d4fd8f62b95d4d7236f0b53 | % data = read_sdf(filename) Read a HP/Agilent/Keysight Standard Data Format (SDF)
%
% Description:
% Macro for reading HP/Agilent/Keysight Standard Data Format (SDF)
%
% References:
% 27 May 2018 Justin Dinale
% <https://fr.mathworks.com/matlabcentral/fileexchange/67513-sdf-importer>
%
% Input: filename: SDF file ... |
github | McStasMcXtrace/iFit-master | read_pdb.m | .m | iFit-master/Libraries/Loaders/read_pdb.m | 16,141 | utf_8 | 5aef51b7ca35728f760182dc12c7a279 | % result = read_pdb(fname) read a PDB file
%
% Import a PDB file, available at e.g. https://www.rcsb.org/
%
% Compute SAXS characteristics of molecule described in file fname.
% Input - fname --> valid PDB file.
% Output result --> structure with fields describing SAXS profile.
%
% resu... |
github | McStasMcXtrace/iFit-master | read_opus.m | .m | iFit-master/Libraries/Loaders/read_opus.m | 10,036 | UNKNOWN | 20d44df04fa0ea21d6659a9956a010c6 | function data = read_opus(filename)
% reads an Opus Brucker file entirely.
% data = read_opus(filename)
%
% all sections are read and we return as many cells as needed
%
% References:
% https://sites.google.com/site/silakovalexey/kazan-viewer/
% A. Silakov Kazan viewer 2009
%
% Input: filename: Brucker... |
github | McStasMcXtrace/iFit-master | read_vol.m | .m | iFit-master/Libraries/Loaders/read_vol.m | 2,519 | utf_8 | e11f75e0be5b6370c49b5af7cc1096aa | % data = read_vol(filename) read a RAW 3D volume (tomography/PyHST2)
%
% Read a RAW volume (float32) generated by PyHST2:
% <http://ftp.esrf.fr/scisoft/PYHST2/>
% <https://gitlab.esrf.fr/mirone/pyhst2>
%
% A '.par' file will be searched at the same location, to extract the volume shape.
% This '.par' file sh... |
github | McStasMcXtrace/iFit-master | read_hdf5.m | .m | iFit-master/Libraries/Loaders/read_hdf5.m | 7,783 | utf_8 | 1cf43ff131eae9bd1ccc20d6f4073a7d | function data = read_hdf5(filename)
% READ_HDF5 Returns the contents of an HDF5 file as a structure
% The READ_HDF5 function reads an HDF5 file and returns the contents of
% that file as the fields of a structure. Groups are treated as elements
% of their parent structure. If the file cannot be opened a -1 ... |
github | McStasMcXtrace/iFit-master | read_mar.m | .m | iFit-master/Libraries/Loaders/read_mar.m | 5,150 | utf_8 | d848740acb3adbb475ca575a9a98cb23 | % data = read_mar(filename) Read a MAR CCD image
%
% Description:
% Macro for reading TIFF files written by a MAR CCD
%
% References:
% July 17th 2008, Oliver Bunk: 1st version
% <http://www.psi.ch/sls/csaxs/software>
%
% Input: filename: Mar CCD file (string)
% output: structure
% Example: y=read_mar(fullfile(ifi... |
github | McStasMcXtrace/iFit-master | read_gcode.m | .m | iFit-master/Libraries/Loaders/read_gcode.m | 4,169 | utf_8 | f2294364648d0788aea5ae03b348abc7 | function data = read_gcode(file, k)
% read_gcode get cpoordinates of points in a GCode/CNC file
%
% The returned output contains the XYZ coordinates, as well as an index per
% closed shape, and the centroid of each shape.
%
% Fornat definition <https://en.wikipedia.org/wiki/G-code>
%
% Example: s=read... |
github | McStasMcXtrace/iFit-master | class2str.m | .m | iFit-master/Libraries/Loaders/class2str.m | 11,712 | utf_8 | 7ca30b851948912880ee34fde385ac2e | function str=class2str(this, data, options)
% CLASS2STR This function creates a string containing Matlab code describing a variable.
% CLASS2STR(this,data) Create an evaluable string [ 'this = data;' ]
%
% CLASS2STR(data) is the same as above, and uses the variable name for
% the label of the output.
%
% CLASS2... |
github | McStasMcXtrace/iFit-master | ImportAgilent.m | .m | iFit-master/Libraries/Loaders/private/ImportAgilent.m | 23,061 | utf_8 | 295991eed8e90ed9ccce660879dc633c | % ------------------------------------------------------------------------
% Method : ImportAgilent
% Description : Import data stored in Agilent (.D, .MS, .CH) files
% ------------------------------------------------------------------------
%
% ---------------------------------------------------------------------... |
github | McStasMcXtrace/iFit-master | tsread.m | .m | iFit-master/Libraries/Loaders/private/tsread.m | 30,708 | utf_8 | 79456c4117484be687bd9c1bb67a6cc0 | function allData = tsread(filename)
% TSREAD reads in parameters from suitable Bruker NMR files
% output = tsread(filename) reads in the contents of the JCAMP-format
% Bruker TopSpin parameter files e.g. acqu, proc etc., and then handles the
% custom fields so they give sensible values. Returns a structure.
% <h... |
github | McStasMcXtrace/iFit-master | getAllFiles.m | .m | iFit-master/Libraries/Loaders/private/getAllFiles.m | 4,469 | utf_8 | 8f7104e69095ecf2cb54c098b0a4e105 | function fileList = getAllFiles(dirName)
% getAllFiles: get all files below 'dirName'
dirData = dir(dirName); % Get the data for the current directory
dirIndex = [dirData.isdir]; % Find the index for directories
fileList = {dirData(~dirIndex).name}'; %'# Get a list of the files
if ~isempty(fileList)
... |
github | McStasMcXtrace/iFit-master | iLoad_findfield.m | .m | iFit-master/Libraries/Loaders/private/iLoad_findfield.m | 3,246 | utf_8 | f7a9f39b2495594478cafcac5dcc7542 | function match = findfield(s, field)
% match=findfield(s, field, option) : look for numerical fields in a structure
%
% input: s: structure
% field: field name to search, or '' (char).
% option: 'exact' 'case' or '' (char)
% output: match: names of structure fields (cellstr)
% ex: findfield(s) or f... |
github | McStasMcXtrace/iFit-master | readNPYheader.m | .m | iFit-master/Libraries/Loaders/private/readNPYheader.m | 2,202 | UNKNOWN | 4ad16266b95a3e5d3192331b55aaec1f |
function [arrayShape, dataType, fortranOrder, littleEndian, totalHeaderLength, npyVersion] = readNPYheader(filename)
% function [arrayShape, dataType, fortranOrder, littleEndian, ...
% totalHeaderLength, npyVersion] = readNPYheader(filename)
%
% parse the header of a .npy file and return all the info contained
... |
github | McStasMcXtrace/iFit-master | iLoad_loader_auto.m | .m | iFit-master/Libraries/Loaders/private/iLoad_loader_auto.m | 4,898 | utf_8 | 4be7359a5199685ca161683786c885ea | function [loaders, isbinary] = iLoad_loader_auto(file, config)
% function to determine which parser to use to analyze content
formats = config.loaders;
% get extension
[~, ~, ext] = fileparts(file);
if ~isempty(ext) && ext(1)=='.', ext(1)=[]; end
% read start of file
[fid,message] = fopen(file, 'r... |
github | McStasMcXtrace/iFit-master | ImportThermo.m | .m | iFit-master/Libraries/Loaders/private/ImportThermo.m | 19,587 | utf_8 | 717d5433ad1e7f6b7a5af6c4bfc67ca7 | % ------------------------------------------------------------------------
% Method : ImportThermo
% Description : Import data stored in Thermo (.RAW) files
% ------------------------------------------------------------------------
%
% ------------------------------------------------------------------------
% Synt... |
github | McStasMcXtrace/iFit-master | iLoad_config_load.m | .m | iFit-master/Libraries/Loaders/private/iLoad_config_load.m | 5,976 | utf_8 | 88a385ed3367875e814423e90a7f49fc | function config = iLoad_config_load
% iLoad_config_load: load the configuration and format customization
persistent cached_config
if ~isempty(cached_config)
config = cached_config;
return
end
loaders = {};
config = [];
% read user list of loaders which is a cell of format description... |
github | McStasMcXtrace/iFit-master | fminplot.m | .m | iFit-master/Libraries/Optimizers/fminplot.m | 11,922 | utf_8 | a59c16a6e11256ce22e1873dfcfabdaa | function stop = fminplot(pars, optimValues, state)
% stop=fminplot(pars, optimValues, state) default plotting function showing the
% criteria evolution as well as main parameters and status.
% A STOP button allows premature abortion of the optimization.
% When used after the optimization, fminplot can plot the crite... |
github | McStasMcXtrace/iFit-master | fminstop.m | .m | iFit-master/Libraries/Optimizers/fminstop.m | 2,404 | utf_8 | 4bd8ece1fa3e066b64af78bf6d91c9c2 | function val = fminstop(x, optimValues, state)
% fminstop: an OutputFcn / PlotFcns function which displays a 'STOP' button
%
% this later can be pressed during a fit to abort the current fit procedure.
%
% Other defined function to be used as OutputFcn and PlotFcns:
% @fminplot shows criteria and parameter ... |
github | McStasMcXtrace/iFit-master | fmindemo.m | .m | iFit-master/Libraries/Optimizers/fmindemo.m | 23,280 | utf_8 | 25defeeb4f05665088a15247f33c609f | function abstract=fmindemo(dim, option, repeat_num)
% FMINDEMO optimization cross-comparison
%
% A systematic test of all optimization methods is performed using a set of test
% problems. Starting configurations are chosen randomly.
% The option flag may contain the following keywords:
% 'verbose' displays individu... |
github | McStasMcXtrace/iFit-master | ukfopt.m | .m | iFit-master/Libraries/Optimizers/private/ukfopt.m | 8,832 | utf_8 | 3144babfa55fc6bd95cac53aeb0385fd | function [x,e, itc]=ukfopt(h,x,tol,P,Q,R,maxit)
%UKFOPT Unconstrained optimization using the unscented Kalman filter
%
% [x,e]=ukfopt(f,x,tol,P,Q,R) minimizes e=norm(f(x)) until e<tol. P, Q
% and R are tuning parmeters relating to the Kalman filter
% performance. P and Q should be n x n, wher... |
github | McStasMcXtrace/iFit-master | powell.m | .m | iFit-master/Libraries/Optimizers/private/powell.m | 8,936 | utf_8 | 8070e79a7a4eb8521c122ea1172c7b45 | function [pars,fval,istop,output]=powell(S,x0,options)
% Unconstrained optimization using Powell.
%
% [xo,Ot,nS]=powell(S,x0,ip,method,Lb,Ub,problem,tol,mxit)
%
% S: objective function
% x0: initial point
% ip: (0): no plot (default), (>0) plot figure ip with pause, (<0) plot figure ip
% method: (0)... |
github | McStasMcXtrace/iFit-master | PSO.m | .m | iFit-master/Libraries/Optimizers/private/PSO.m | 12,581 | utf_8 | 704aaab1f25473f412efc28a6b3f5076 | function [X,FVAL,EXITFLAG,OUTPUT] = PSO(FUN,X0,LB,UB,OPTIONS,varargin)
%PSO finds a minimum of a function of several variables using the particle swarm
% optimization (PSO) algorithm originally introduced in 1995 by Kennedy and
% Eberhart. This algorithm was extended by Shi and Eberhart in 1998 through the
% introduc... |
github | McStasMcXtrace/iFit-master | buscarnd.m | .m | iFit-master/Libraries/Optimizers/private/buscarnd.m | 7,827 | utf_8 | 37ca0bda8b14d45489f4b08e20be896e | function [pars,fval,istop]=buscarnd(S,x0,options)
% Unconstrained global optimization using adaptive random search.
%
% [xo,Ot,nS]=buscarnd(S,x0,options.Display,nOt,samples,Lb,Ub,problem,options.TolX,options.MaxIter,R,red,mem)
%
% Copyright (c) 2001 by LASIM-DEQUI-UFRGS
% Date: $Date$
% Argimiro R. Secchi (... |
github | McStasMcXtrace/iFit-master | hooke.m | .m | iFit-master/Libraries/Optimizers/private/hooke.m | 4,523 | utf_8 | 275a827316ece4eec88dac9cae5ea128 | function [x, histout] = hooke(x0, f, budget, scales, tol, v)
%
% Nelder-Mead optimizer, No tie-breaking rule other than MATLAB's sort
%
% C. T. Kelley, July 10, 1998
%
%
% This code comes with no guarantee or warranty of any kind.
%
% function [x, histout] = hooke(x0, f, budget, scales, tol, v)
%
% inputs:
%
% x0... |
github | McStasMcXtrace/iFit-master | LMFsolve.m | .m | iFit-master/Libraries/Optimizers/private/LMFsolve.m | 11,381 | utf_8 | 8ba05161b6be6ef1516ef69aff11ca1d | function [xf, S, nfJ,exitflag] = LMFsolve(varargin)
% Solve a Set of Overdetermined Nonlinear Equations in Least-Squares Sense.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% A solution is obtained by a Fletcher version of the Levenberg-Maquardt
% algoritm for minimization of a sum of squares of equation re... |
github | McStasMcXtrace/iFit-master | imfil.m | .m | iFit-master/Libraries/Optimizers/private/imfil.m | 9,126 | utf_8 | 810b8d606b6ac8e80af8160d469ceff5 | function [pars,fval,itc,output] = imfil1(x0,f,options)
%
%
% C. T. Kelley, January 9, 1998
%
% This code comes with no guarantee or warranty of any kind.
%
% function [x,fcount,histout] = imfil(x0,f,budget,scales,parms)
%
% Unconstrained implicit filtering code
%
% IMPLICIT FILTERING with SR1 and BFGS quasi-Newton met... |
github | McStasMcXtrace/iFit-master | gwmcmc.m | .m | iFit-master/Libraries/Optimizers/private/gwmcmc.m | 10,955 | UNKNOWN | 730daaf67cd26fb9933d2b73bbbe7cf2 | function [models,logP]=gwmcmc(minit,logPfuns,mccount,varargin)
%% Cascaded affine invariant ensemble MCMC sampler. "The MCMC hammer"
%
% GWMCMC is an implementation of the Goodman and Weare 2010 Affine
% invariant ensemble Markov Chain Monte Carlo (MCMC) sampler. MCMC sampling
% enables bayesian inference. The problem ... |
github | McStasMcXtrace/iFit-master | ntrust.m | .m | iFit-master/Libraries/Optimizers/private/ntrust.m | 8,809 | utf_8 | bebbe5a6761836adea3919f766f36dcb | function [x,histout,costdata] = ntrust(x0,f,tol,maxit,resolution)
%
%
% C. T. Kelley, Dec 15, 1997
%
% This code comes with no guarantee or warranty of any kind.
%
% function [x,histout,costdata] = ntrust(x0,f,tol,maxit,resolution)
%
% Dogleg trust region, Newton model, dense algorithm
%
% Input: x0 = initial iterate
... |
github | McStasMcXtrace/iFit-master | SCE.m | .m | iFit-master/Libraries/Optimizers/private/SCE.m | 14,021 | utf_8 | 8b5c8c9695800df54df00ab34dc9bbf8 | function [X,FVAL,EXITFLAG,OUTPUT] = SCE(FUN,X0,LB,UB,OPTIONS,varargin)
%SCE finds a minimum of a function of several variables using the shuffled
% complex evolution (SCE) algorithm originally introduced in 1992 by Duan et al.
%
% SCE attempts to solve problems of the form:
% min F(X) subject to: LB <= X <= UB... |
github | McStasMcXtrace/iFit-master | cmaes.m | .m | iFit-master/Libraries/Optimizers/private/cmaes.m | 117,434 | utf_8 | f837ff6656fcb22fc41bbd195714429b | function [xmin, ... % minimum search point of last iteration
fmin, ... % function value of xmin
countiter, ... % number of function evaluations done
stopflag, ... % stop criterion reached
out, ... % struct with various histories and solutions
bestever ... % struct containing overall b... |
github | McStasMcXtrace/iFit-master | bfgswopt.m | .m | iFit-master/Libraries/Optimizers/private/bfgswopt.m | 9,620 | utf_8 | 0a4959ec31d3437f057ef7f489233720 | function [x,histout,costdata,itc] = bfgswopt(x0,f,tol,maxit,hess0, hdiff)
%
% C. T. Kelley, July 17, 1997
%
% This code comes with no guarantee or warranty of any kind.
%
% function [x,histout] = bfgswopt(x0,f,tol,maxit,hess0)
%
% steepest descent/bfgs with polynomial line search
% Steve Wright storage of H^-1
%
% if t... |
github | McStasMcXtrace/iFit-master | cgtrust.m | .m | iFit-master/Libraries/Optimizers/private/cgtrust.m | 8,069 | utf_8 | a1e7d3ee48738f1992ed9d05c36e107a | function [xc,histout,costdata] = cgtrust(x0,f,parms,resolution)
%
%
% C. T. Kelley, Jan 13, 1998
%
% This code comes with no guarantee or warranty of any kind.
%
% function [x,histout] = cgtrust(x0,f,parms,resolution)
%
% Steihaug Newton-CG-Trust region algorithm
%
% Input: x0 = initial iterate
% f = objective ... |
github | McStasMcXtrace/iFit-master | SIMPSA.m | .m | iFit-master/Libraries/Optimizers/private/SIMPSA.m | 17,181 | utf_8 | 4f719b6b11d556013608e500b4cfd920 | function [X,FVAL,EXITFLAG,OUTPUT] = SIMPSA(FUN,X0,LB,UB,OPTIONS,varargin)
%SIMPSA finds a minimum of a function of several variables using an algorithm
% that is based on the combination of the non-linear smplex and the simulated
% annealing algorithm (the SIMPSA algorithm, Cardoso et al., 1996).
% In this paper, th... |
github | McStasMcXtrace/iFit-master | ralg.m | .m | iFit-master/Libraries/Optimizers/private/ralg.m | 29,749 | utf_8 | 1532022bcd92d9203c9ed201ba38cb10 | function [x,f,options,k,message]=ralg(x,fun,grad,options,func,gradc,OutputFcn, MaxFunEvals, FunValCheck)
% Usage:
% [x,f,options]=solvopt(x,fun,grad,options,func,gradc)
% The function SOLVOPT performs a modified version of Shor's r-algorithm in
% order to find a local minimum resp. maximum of a nonlinear function
% def... |
github | McStasMcXtrace/iFit-master | ifittest.m | .m | iFit-master/Tests/ifittest.m | 5,256 | utf_8 | 9fb580aa70543cd5eb3aa896a83ace0a | function errors=ifittest(varargin)
% errors=ifittest(test) : performs a self-test procedure of the iFit package
%
% The test procedure includes:
% * unit tests of Objects and Libraries
% * system tests of Applications and Scripts
% * doc tests from the Documentation/tutorials
%
% A report of all test is displaye... |
github | mathwuyue/d2dsimulator-master | cal_throughput_array.m | .m | d2dsimulator-master/cal_throughput_array.m | 2,504 | utf_8 | c6747bb47597cd0f2c874754a0e59624 | %% n is the whole cell's user number.
function [throughput_array, rb_throughput_array] = cal_throughput_array(SINR_array, n)
% constants
N_SC = 600;
N_RB = 50;
%% calculate each subcarrier's data rate. Using the Table in Book of Assumption.
throughput_array = zeros(1, N_SC*n);
% db SINR_array
db_SINR_arra... |
github | mathwuyue/d2dsimulator-master | cal_throughput_array.m | .m | d2dsimulator-master/simple/cal_throughput_array.m | 2,549 | utf_8 | 263af81f364a18894c8c35cc803a5a38 | %% n is the whole cell's user number.
function [throughput_array, rb_throughput_array] = cal_throughput_array(SINR_array, threshold)
% constants
N_RB = 50;
%% calculate each subcarrier's data rate. Using the Table in Book of Assumption.
throughput_array = zeros(size(SINR_array));
% db SINR_array
db_SINR_arra... |
github | contradict/ethzasl_msf-master | matfig2pgf_options.m | .m | ethzasl_msf-master/msf_eval/Matlab/matfig2pgf_options.m | 10,639 | utf_8 | 225a0b2d7d0cfbbe9932df3697d7cdf4 | function varargout = matfig2pgf_options(cmd, varargin)
% MATFIG2PGF_OPTIONS Manage Matfig2PGF options. Used by Matfig2PGF.
%
% matfig2pgf_options(<cmd>)
% matfig2pgf_options(<cmd>, <options_struct>)
% matfig2pgf_options(<cmd>, <option>, <value>, ...)
%
% Example:
% matfig2pgf_options('set_global', ... |
github | contradict/ethzasl_msf-master | matfig2pgf.m | .m | ethzasl_msf-master/msf_eval/Matlab/matfig2pgf.m | 81,036 | utf_8 | 0d9c4792492ed15466d4a3ecbb06c481 | function matfig2pgf( varargin )
%MATFIG2PGF Convert figures to PGF for inclusion in LaTeX documents.
%
% Matfig2PGF converts a figure to the Portable Graphics Format (PGF).
% The PGF file can be included in a LaTeX document.
%
% matfig2pgf(filename)
% matfig2pgf('option1', option_value1, 'option2', opti... |
github | contradict/ethzasl_msf-master | matfig2pgf_menu.m | .m | ethzasl_msf-master/msf_eval/Matlab/matfig2pgf_menu.m | 3,216 | utf_8 | 95b5ed22ee627ecafa95716d5593cb34 | function matfig2pgf_menu( varargin )
%Turns the Matfig2PGF menu in the figure windows on and off.
%
% Usage:
% matfig2pgf_menu <on/off>
%
% Example:
% matfig2pgf_menu
% matfig2pgf_menu on
% Turns the Matfig2PGF menu on.
%
% Example:
% matfig2pgf_menu off
% Turns the Matfig2PGF m... |
github | pgcool/TMBP-master | topicshow.m | .m | TMBP-master/toolbox/topicshow.m | 232 | utf_8 | 5f54f0e08a8c4d98f97c687fbf4bc9c1 | % show top words in each topic
function [] = topicshow(phi, voc, N)
[K, W] = size(phi);
for k = 1:K
[a, b] = sort(phi(k,:), 'descend');
for i = 1:N
fprintf(1, '%s ', voc{b(i)});
end;
fprintf(1, '\n');
end |
github | pgcool/TMBP-master | perplexity.m | .m | TMBP-master/toolbox/perplexity.m | 1,346 | utf_8 | 1b5ecfcd980530610c4ddb480a1efb6b | function out = perplexity(WD, phi, theta, ALPHA, BETA)
% WD is WxD sparse matrix
% phi is KxW matrix topic*word
% theta is KxD matrix topic*document
% ALPHA and BETA are hyperparameters
phi = normalise(phi + BETA, 2);
theta = normalise(theta + ALPHA, 1);
[wi, di, xi] = find(WD); %wi row wo... |
github | pgcool/TMBP-master | LDAssiBPtrain.m | .m | TMBP-master/toolbox/LDAssiBPtrain.m | 2,272 | utf_8 | 563e92f15be2b7eba9413a2389f15f92 | function [phi, theta] = LDAssiBPtrain(WD, K, T, ALPHA, BETA, OUTPUT)
% WD is a WxD sparse matrix (data)
% K is the number of topixi
% T is the number of iterations
% phi is a KxW matrix
% theta is a KxD matrix
% ALPHA and BETA are hyperparameters
% OUTPUT == 1 showi the number of iterations
if (~issparse(WD) || (K <=... |
github | pgcool/TMBP-master | LDAVBtrain.m | .m | TMBP-master/toolbox/LDAVBtrain.m | 2,147 | utf_8 | 87cdd2928a8168b444202dc86af26222 | function [phi, theta] = LDAVBtrain(WD, K, T, E, ALPHA, BETA, OUTPUT)
% WD is a WxD sparse matrix (data)
% K is the number of topixi
% T is the number of iterations
% E is the number of inner EM loops.
% phi is a KxW matrix
% theta is a KxD matrix
% ALPHA and BETA are hyperparameters
% OUTPUT == 1 showi the number of i... |
github | pgcool/TMBP-master | LaLDAssiBPtrain.m | .m | TMBP-master/toolbox/LaLDAssiBPtrain.m | 2,126 | utf_8 | 1e969b2787ef0295df1e1c8c58709140 | function [phi, theta] = LaLDAssiBPtrain(WD, AD, T, ALPHA, BETA, OUTPUT)
% WD is a WxD sparse matrix (data)
% AD is a AxD sparse matrix (label)
% T is the number of iterations
% phi is a AxW matrix
% theta is a AxD matrix
% ALPHA and BETA are hyperparameters
% OUTPUT == 1 showi the number of iterations
if (~issparse(W... |
github | pgcool/TMBP-master | LDAssiBPpredict.m | .m | TMBP-master/toolbox/LDAssiBPpredict.m | 1,804 | utf_8 | 1ec9cfe2ffe6009da41f07a7ab707be3 | function theta = LDAssiBPpredict(WD, phi, T, ALPHA, BETA, OUTPUT)
% WD is a WxD sparse matrix (data)
% K is the number of topixi
% T is the number of iterations
% phi is a KxW matrix
% theta is a KxD matrix
% ALPHA and BETA are hyperparameters
% OUTPUT == 1 showi the number of iterations
if (~issparse(WD) || (T <= 0)... |
github | pgcool/TMBP-master | LDAVBpredict.m | .m | TMBP-master/toolbox/LDAVBpredict.m | 1,901 | utf_8 | 96943239d47efcf9bc24010e53868f38 | function theta = LDAVBpredict(WD, phi, T, E, ALPHA, BETA, OUTPUT)
% WD is a WxD sparse matrix (data)
% K is the number of topixi
% T is the number of iterations
% E is the number of inner EM loops.
% phi is a KxW matrix
% theta is a KxD matrix
% ALPHA and BETA are hyperparameters
% OUTPUT == 1 showi the number of iter... |
github | pgcool/TMBP-master | LaLDAssiBPtrain.m | .m | TMBP-master/source/lalda/bp/LaLDAssiBPtrain.m | 2,126 | utf_8 | 1e969b2787ef0295df1e1c8c58709140 | function [phi, theta] = LaLDAssiBPtrain(WD, AD, T, ALPHA, BETA, OUTPUT)
% WD is a WxD sparse matrix (data)
% AD is a AxD sparse matrix (label)
% T is the number of iterations
% phi is a AxW matrix
% theta is a AxD matrix
% ALPHA and BETA are hyperparameters
% OUTPUT == 1 showi the number of iterations
if (~issparse(W... |
github | pgcool/TMBP-master | LDAssiBPtrain.m | .m | TMBP-master/source/lda/bp/simplified/LDAssiBPtrain.m | 2,272 | utf_8 | 563e92f15be2b7eba9413a2389f15f92 | function [phi, theta] = LDAssiBPtrain(WD, K, T, ALPHA, BETA, OUTPUT)
% WD is a WxD sparse matrix (data)
% K is the number of topixi
% T is the number of iterations
% phi is a KxW matrix
% theta is a KxD matrix
% ALPHA and BETA are hyperparameters
% OUTPUT == 1 showi the number of iterations
if (~issparse(WD) || (K <=... |
github | pgcool/TMBP-master | LDAssiBPpredict.m | .m | TMBP-master/source/lda/bp/simplified/LDAssiBPpredict.m | 1,804 | utf_8 | 1ec9cfe2ffe6009da41f07a7ab707be3 | function theta = LDAssiBPpredict(WD, phi, T, ALPHA, BETA, OUTPUT)
% WD is a WxD sparse matrix (data)
% K is the number of topixi
% T is the number of iterations
% phi is a KxW matrix
% theta is a KxD matrix
% ALPHA and BETA are hyperparameters
% OUTPUT == 1 showi the number of iterations
if (~issparse(WD) || (T <= 0)... |
github | pgcool/TMBP-master | a4_main.m | .m | TMBP-master/dl/a4_main.m | 4,628 | utf_8 | af3c93bcc7e4fdabbf7fe3953c8d3cb8 | % This file was published on Wed Nov 14 20:48:30 2012, UTC.
function a4_main(n_hid, lr_rbm, lr_classification, n_iterations)
% first, train the rbm
global report_calls_to_sample_bernoulli
report_calls_to_sample_bernoulli = false;
global data_sets
global data1
global train
global test
if pro... |
github | xpol/webrtc-master | apmtest.m | .m | webrtc-master/webrtc/modules/audio_processing/test/apmtest.m | 9,470 | utf_8 | ad72111888b4bb4b7c4605d0bf79d572 | function apmtest(task, testname, filepath, casenumber, legacy)
%APMTEST is a tool to process APM file sets and easily display the output.
% APMTEST(TASK, TESTNAME, CASENUMBER) performs one of several TASKs:
% 'test' Processes the files to produce test output.
% 'list' Prints a list of cases in the test set,... |
github | xpol/webrtc-master | plot_neteq_delay.m | .m | webrtc-master/webrtc/modules/audio_coding/neteq/test/delay_tool/plot_neteq_delay.m | 5,563 | utf_8 | 8b6a66813477863da513b1e6971dbc97 | function [delay_struct, delayvalues] = plot_neteq_delay(delayfile, varargin)
% InfoStruct = plot_neteq_delay(delayfile)
% InfoStruct = plot_neteq_delay(delayfile, 'skipdelay', skip_seconds)
%
% Henrik Lundin, 2006-11-17
% Henrik Lundin, 2011-05-17
%
try
s = parse_delay_file(delayfile);
catch
error(lasterr);
e... |
github | nzhao/qlib-master | InteractionString.m | .m | qlib-master/+model/+phy/+SpinInteraction/+AdditionalSpinInteraction/InteractionString.m | 2,125 | utf_8 | 3bd099519d987ff0ba29f46bd3847dd9 | classdef InteractionString < model.phy.SpinInteraction.AdditionalSpinInteraction.GeneralSpinInteraction
%STRINGTOINTERACTION Summary of this class goes here
% Detailed explanation goes here
properties
end
methods
function obj=InteractionString(spin_collection, str)
if... |
github | nzhao/qlib-master | transientSteadyHighpressure.m | .m | qlib-master/+model/+phy/+PhysicalObject/+Atom/@AlkaliAtom/transientSteadyHighpressure.m | 1,458 | utf_8 | e771a527da3ed755b39c191695896544 |
function transientSteadyHighpressure(obj,I,magB,Gmp,kappa,Kj1,Kj2,Kj3)
gg=obj.dimG;
gI=2*I+1;
ele=obj.gSpin;
sSj(:,:,1)=ele.sx;
sSj(:,:,2)=ele.sy;
sSj(:,:,3)=ele.sz;
[Ug,~]=eig(obj.gsHamiltonian(magB));
for k=1:3
gSj=zeros(gg,gg);
Sj=zeros(gg,gg);
gSj(:,:,k)=kron(eye(gI),sSj(:,... |
github | nzhao/qlib-master | GetStateInfo.m | .m | qlib-master/+model/+phy/+Solution/@SpinChainSolution/GetStateInfo.m | 2,967 | utf_8 | 59ed2eca31f9bdf1a14ff41e4b479f51 | function [spin_num_list, probability_mat ] = GetStateInfo(obj, spin_collection,rho_vecs)
%GETSTATEINFO Summary of this function goes here
% Detailed explanation goes here
nspin=spin_collection.getLength;
ts_superoperator= model.phy.QuantumOperator.SpinOperator.TransformSuperOperator(spin_collection);
ts_... |
github | nzhao/qlib-master | threej.m | .m | qlib-master/HapperFunctions/threej.m | 111 | utf_8 | e18154257a0533a3887ded5f8657a5d1 |
function x=threej(j1,m1,j2,m2,j3,m3)
x=0;
x=x+(-1)^(j3+m3+2*j1)*cg(j1,-m1,j2,-m2,j3,m3)/sqrt(2*j3+1);
|
github | jergutierrez/stoqs-master | stoqs_loadjson.m | .m | stoqs-master/contrib/stoqstoolbox/stoqs_loadjson.m | 16,106 | ibm852 | 3f90d22694e05a210d250845f2eedc5c | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% date: 2011/09/09
% Nedialko Krouchev: http:... |
github | jergutierrez/stoqs-master | stoqs_showcampaign.m | .m | stoqs-master/contrib/stoqstoolbox/stoqs_showcampaign.m | 979 | utf_8 | ef6615afb7aa7fb4efd5c0e3d07ad075 |
function stoqs_showcampaign(u,camp)
%Show on the screen all the main information about a campaign in a STOQS
%database
%
%Usage:
%
% stoqs_showcampaign('http://odss.mbari.org/canon/','stoqs_may2012');
%Input :
%
% u = Url direction of the STOQS data server. Ex: http://odss.mbari.org/canon
% camp = name of... |
github | jergutierrez/stoqs-master | stoqs_qcampaigns.m | .m | stoqs-master/contrib/stoqstoolbox/stoqs_qcampaigns.m | 1,027 | utf_8 | c8428f36c17ad610547d37b17b17b661 |
function infcs=stoqs_qcampaigns(u,show)
%Get the name of all the campaigns available in a STOQS server
%
%Usage:
%
% inf=stoqs_qcampaigns('http://odss.mbari.org/canon/',1);
%Input :
%
% u = Url direction of the STOQS data server. Ex: http://odss.mbari.org/canon/
% show = Show the info on the screen or not.... |
github | jergutierrez/stoqs-master | load_mb_1km.m | .m | stoqs-master/contrib/stoqstoolbox/demo/model_vs_stoqs/load_mb_1km.m | 1,166 | utf_8 | 24f12604915ebbf3b8fb1a7b13a39780 |
function [query]=load_mb_1km(url,de)
%Get the information of the data set selected(url). Information:Date,
%depth, latitude,longitude, and parameter value
%
%Usage:
%
% [date]=load_mb_1km('http://ourocean.jpl.nasa.gov:8080/thredds/dodsC/MBNowcast/mb_das_2012052515.nc',5)
%
%
%Input :
%
% url = Url direct... |
github | duijnhouwer/mountainpro-master | prepro_phaseCorr.m | .m | mountainpro-master/Preprocessing_Toolbox/prepro_phaseCorr.m | 6,373 | utf_8 | 710a38ce712f839844cb699ebc5dc67e | function varargout = prepro_phaseCorr(varargin)
% PREPRO_PHASECORR MATLAB code for prepro_phaseCorr.fig
% PREPRO_PHASECORR, by itself, creates a new PREPRO_PHASECORR or raises the existing
% singleton*.
%
% H = PREPRO_PHASECORR returns the handle to a new PREPRO_PHASECORR or the handle to
% the exis... |
github | duijnhouwer/mountainpro-master | runDetectCells.m | .m | mountainpro-master/Preprocessing_Toolbox/runDetectCells.m | 44,823 | utf_8 | c778972c1d216bb404f0a884aa573a27 | %% starting function
function varargout = runDetectCells(varargin)
% runDetectCells Detect cells with GUI
%
% Version 2.1 [2014-05-16]
% 2013-03-14; Created by Jorrit Montijn
% 2013-10-21; updated cross-recording alignment; incorporated
% custom-built recursive locally affine registration algorithm to
% automati... |
github | duijnhouwer/mountainpro-master | DC_redraw.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions_celldetect/DC_redraw.m | 6,766 | utf_8 | e0ff66615fa3fa30a22016cd40ba1dc7 | function DC_redraw(varargin)
%DC_redraw Sets and redraws windows
% DC_redraw([redrawImage=true])
% check if only cells have to be redrawn
redrawImage = true;
if nargin > 0
redrawImage = varargin{1};
end
%get structures
global sRec;
global sDC;
global sFig;
%check if data has been loa... |
github | duijnhouwer/mountainpro-master | DC_DeleteFcn.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions_celldetect/DC_DeleteFcn.m | 149 | utf_8 | ba8c8baef2762e3633c41ee2cdda813a | %% closing function
function DC_DeleteFcn
%clear globals
global sDC;
global sRec;
global sFig;
sDC = [];
sRec = [];
sFig = [];
end |
github | duijnhouwer/mountainpro-master | DC_SetSubtypeNr.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions_celldetect/DC_SetSubtypeNr.m | 3,284 | utf_8 | b71a0a12a401ae1c1a5df02750511fe5 | function DC_SetSubtypeNr
%globals
global sDC;
global sFig;
global sSetSubtypeNr;
%check if data has been loaded
if isempty(sDC) || isempty(sFig)
return;
else
try
intType = get(sFig.ptrListCellType, 'Value');
catch
return;
end
end
%get data on selected object
if length(sFig.... |
github | duijnhouwer/mountainpro-master | DC_updateTextInformation.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions_celldetect/DC_updateTextInformation.m | 2,469 | utf_8 | f578eb4d0f665ecb15b7edeb0f1a1dab | function DC_updateTextInformation(varargin)
%update cell information window
global sFig;
global sDC;
%check if data has been loaded
if isempty(sDC) || isempty(sFig)
return;
else
try
cellOldText = get(sFig.ptrTextInformation, 'string');
catch
return;
end
end
%check if msg is sup... |
github | duijnhouwer/mountainpro-master | dftregistration.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions_celldetect/dftregistration.m | 8,234 | utf_8 | 7dc727aebf333c1a5cef2b2821265218 |
function [output Greg] = dftregistration(buf1ft,buf2ft,usfac)
% function [output Greg] = dftregistration(buf1ft,buf2ft,usfac);
% Efficient subpixel image registration by crosscorrelation. This code
% gives the same precision as the FFT upsampled cross correlation in a
% small fraction of the computation time an... |
github | duijnhouwer/mountainpro-master | DC_MoveROIsGUI.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions_celldetect/DC_MoveROIsGUI.m | 6,062 | utf_8 | 19cfc7b38e52986c8b6207e48d00cc7d | function varargout = DC_MoveROIsGUI(varargin)
% DC_MOVEROISGUI MATLAB code for DC_MoveROIsGUI.fig
% DC_MOVEROISGUI, by itself, creates a new DC_MOVEROISGUI or raises the existing
% singleton*.
%
% H = DC_MOVEROISGUI returns the handle to a new DC_MOVEROISGUI or the handle to
% the existing sin... |
github | duijnhouwer/mountainpro-master | DC_SetSubtypeNrGUI.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions_celldetect/DC_SetSubtypeNrGUI.m | 4,782 | utf_8 | 65212bee8485f0de8ca929f7f0cc56b4 | function varargout = DC_SetSubtypeNrGUI(varargin)
% DC_SETSUBTYPENRGUI MATLAB code for DC_SetSubtypeNrGUI.fig
% DC_SETSUBTYPENRGUI, by itself, creates a new DC_SETSUBTYPENRGUI or raises the existing
% singleton*.
%
% H = DC_SETSUBTYPENRGUI returns the handle to a new DC_SETSUBTYPENRGUI or the handle... |
github | duijnhouwer/mountainpro-master | doDetectSpikes.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions/doDetectSpikes.m | 4,189 | utf_8 | a4699db77e2ca5cb41c7185005b6cec9 | function [apFrames, apSpikes, vecSpikes, expFit] = doDetectSpikes(dFoF,dblSamplingFreq,dblTau)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
% dFoF-criteria based transient detection to get initial guess
[transients] = getTransientGuess(dFoF, dblSamplingFreq, dblTau);
... |
github | duijnhouwer/mountainpro-master | doDetectCalciumTransients.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions/doDetectCalciumTransients.m | 3,409 | utf_8 | 78e3c775811f20c2ccf15966bed44f59 | function spikeData = doDetectCalciumTransients(sRec,boolDetectSpikes,dblTau)
% script that detects spikes in dFoF data
%check input
if nargin < 2,boolDetectSpikes = false;end %set switch to detect spikes
if nargin < 3,dblTau = 0.500;end % set shape of exponential
%generate name
strRec = sprintf('%sxyt... |
github | duijnhouwer/mountainpro-master | dftregistration.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions/dftregistration.m | 8,234 | utf_8 | 7dc727aebf333c1a5cef2b2821265218 |
function [output Greg] = dftregistration(buf1ft,buf2ft,usfac)
% function [output Greg] = dftregistration(buf1ft,buf2ft,usfac);
% Efficient subpixel image registration by crosscorrelation. This code
% gives the same precision as the FFT upsampled cross correlation in a
% small fraction of the computation time an... |
github | duijnhouwer/mountainpro-master | buildSesFromPrePro.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions/buildSesFromPrePro.m | 6,558 | utf_8 | 253d89ce5e713a3d1e147005ae7a3aea | %runBuildSesFromPrePro
function ses = buildSesFromPrePro(strMatRec)
%define struct
ses = struct;
% load fluorescence data
fprintf('Starting transformation from sRec type to ses type... [%s]\n',strMatRec);
sLoad = load(strMatRec);
sRec = sLoad.sRec;
clear sLoad;
%% get general info
ses.strI... |
github | duijnhouwer/mountainpro-master | doRegisterSubFields.m | .m | mountainpro-master/Preprocessing_Toolbox/subfunctions/doRegisterSubFields.m | 5,551 | utf_8 | acd52908ab76b66f54ece25219a76c51 | %recursive locally affine subfield reregistration algorithm to reposition
%ROI locations between recordings of the same population of cells
function matDataPoints = doRegisterSubFields(imRef,im2,sParams)
%check input
if nargin < 2,error([mfilename ':NoImages'],'Insufficient input: registration images were not sup... |
github | duijnhouwer/mountainpro-master | pdftops.m | .m | mountainpro-master/Toolboxes/export_fig/pdftops.m | 3,068 | utf_8 | 7a40ce10e58d68cd7eeda67992b993f3 | function varargout = pdftops(cmd)
%PDFTOPS Calls a local pdftops executable with the input command
%
% Example:
% [status result] = pdftops(cmd)
%
% Attempts to locate a pdftops executable, finally asking the user to
% specify the directory pdftops was installed into. The resulting path is
% stored for futur... |
github | duijnhouwer/mountainpro-master | isolate_axes.m | .m | mountainpro-master/Toolboxes/export_fig/isolate_axes.m | 3,484 | utf_8 | 3997011940bb5b146bf10032a9cec39a | %ISOLATE_AXES Isolate the specified axes in a figure on their own
%
% Examples:
% fh = isolate_axes(ah)
% fh = isolate_axes(ah, vis)
%
% This function will create a new figure containing the axes/uipanels
% specified, and also their associated legends and colorbars. The objects
% specified must all be in th... |
github | duijnhouwer/mountainpro-master | pdf2eps.m | .m | mountainpro-master/Toolboxes/export_fig/pdf2eps.m | 1,524 | utf_8 | 037f9109e96ab4385d13019a29db4639 | %PDF2EPS Convert a pdf file to eps format using pdftops
%
% Examples:
% pdf2eps source dest
%
% This function converts a pdf file to eps format.
%
% This function requires that you have pdftops, from the Xpdf suite of
% functions, installed on your system. This can be downloaded from:
% http://www.foolabs.c... |
github | duijnhouwer/mountainpro-master | print2array.m | .m | mountainpro-master/Toolboxes/export_fig/print2array.m | 6,474 | utf_8 | 4ead930267fe61c9b2a87139ee559dc8 | %PRINT2ARRAY Exports a figure to an image array
%
% Examples:
% A = print2array
% A = print2array(figure_handle)
% A = print2array(figure_handle, resolution)
% A = print2array(figure_handle, resolution, renderer)
% [A bcol] = print2array(...)
%
% This function outputs a bitmap image of the given fig... |
github | duijnhouwer/mountainpro-master | eps2pdf.m | .m | mountainpro-master/Toolboxes/export_fig/eps2pdf.m | 5,151 | utf_8 | b356d73460fdebe8ef6fa428d5b2c125 | %EPS2PDF Convert an eps file to pdf format using ghostscript
%
% Examples:
% eps2pdf source dest
% eps2pdf(source, dest, crop)
% eps2pdf(source, dest, crop, append)
% eps2pdf(source, dest, crop, append, gray)
% eps2pdf(source, dest, crop, append, gray, quality)
%
% This function converts an eps file... |
github | duijnhouwer/mountainpro-master | copyfig.m | .m | mountainpro-master/Toolboxes/export_fig/copyfig.m | 846 | utf_8 | 289162022c603c9e11a52b6d56329188 | %COPYFIG Create a copy of a figure, without changing the figure
%
% Examples:
% fh_new = copyfig(fh_old)
%
% This function will create a copy of a figure, but not change the figure,
% as copyobj sometimes does, e.g. by changing legends.
%
% IN:
% fh_old - The handle of the figure to be copied. Default: gc... |
github | duijnhouwer/mountainpro-master | user_string.m | .m | mountainpro-master/Toolboxes/export_fig/user_string.m | 2,462 | utf_8 | dd1a7fa5b4f2be6320fc2538737a2f3e | %USER_STRING Get/set a user specific string
%
% Examples:
% string = user_string(string_name)
% saved = user_string(string_name, new_string)
%
% Function to get and set a string in a system or user specific file. This
% enables, for example, system specific paths to binaries to be saved.
%
% IN:
% string_name - ... |
github | duijnhouwer/mountainpro-master | export_fig.m | .m | mountainpro-master/Toolboxes/export_fig/export_fig.m | 29,829 | utf_8 | e148a5b614ce2226be691f291726feb2 | %EXPORT_FIG Exports figures suitable for publication
%
% Examples:
% im = export_fig
% [im alpha] = export_fig
% export_fig filename
% export_fig filename -format1 -format2
% export_fig ... -nocrop
% export_fig ... -transparent
% export_fig ... -native
% export_fig ... -m<val>
% export_fig... |
github | duijnhouwer/mountainpro-master | ghostscript.m | .m | mountainpro-master/Toolboxes/export_fig/ghostscript.m | 4,342 | utf_8 | 0be326f9358200c733989260a0649af9 | %GHOSTSCRIPT Calls a local GhostScript executable with the input command
%
% Example:
% [status result] = ghostscript(cmd)
%
% Attempts to locate a ghostscript executable, finally asking the user to
% specify the directory ghostcript was installed into. The resulting path
% is stored for future reference.
% ... |
github | duijnhouwer/mountainpro-master | print2eps.m | .m | mountainpro-master/Toolboxes/export_fig/print2eps.m | 7,809 | utf_8 | 7c4a232dc6574c7702a7550ebd0d6e44 | %PRINT2EPS Prints figures to eps with improved line styles
%
% Examples:
% print2eps filename
% print2eps(filename, fig_handle)
% print2eps(filename, fig_handle, options)
%
% This function saves a figure as an eps file, with two improvements over
% MATLAB's print command. First, it improves the line styl... |
github | duijnhouwer/mountainpro-master | runBootstrap.m | .m | mountainpro-master/Toolboxes/TwoPhoCoTo/high-level-functions/runBootstrap.m | 896 | utf_8 | d3fb939c1c95cb44e02b488e76de435d | function [matParams] = runBootstrap(xList,matData,paramInit,functionHandle,varargin)
%syntax: [matParams] = runBootstrap(xList,matData,paramInit,functionHandle,[maxIter=1000])
%dependencies:
%defaultValues.m
%MLFit.m
% Version history:
% 1.0 - May 11 2011
% Created by Jorrit Montijn
fprintf('\nRunning Bootstr... |
github | duijnhouwer/mountainpro-master | MovieViewer.m | .m | mountainpro-master/Toolboxes/TwoPhoCoTo/mid-level-functions/MovieViewer.m | 41,189 | utf_8 | afae23d40f1ebfc327ad2ba3e3694515 | % MOVIEVIEWER Program for creating movies from pictures and
% viewing/editing them. It can load and/or edit red, green
% and blue channels separately. Uses automatic channel and
% frame index detection of picture files with the following
% syntax:
% *[0-inf]_ch[00-02].ext
% The last 4 character... |
github | duijnhouwer/mountainpro-master | roundi.m | .m | mountainpro-master/Toolboxes/TwoPhoCoTo/general-functions/roundi.m | 724 | utf_8 | be42f2f394a989ef3f4bec0ca60bdff2 | %%% roundi %%%
% rounds a number to a certain amount of digits
%syntax:
% output = roundi(number,digits,argument)
%
%input variables:
% number: the input number
% digits: required amount of digits
% OPTIONAL: argument: 'floor', 'ceil' or 'fix'; this makes the function use not the round function, but the function specif... |
github | duijnhouwer/mountainpro-master | runBootstrap.m | .m | mountainpro-master/Toolboxes/TwoPhoCoTo/general-functions/runBootstrap.m | 826 | utf_8 | fa67c5ae228772fd546c110f62157540 | function [matParams] = runBootstrap(xList,matData,paramInit,functionHandle,varargin)
%syntax: [matParams] = runBootstrap(xList,matData,paramInit,functionHandle,[maxIter=1000])
%dependencies:
%defaultValues.m
%MLFit.m
fprintf('\nRunning Bootstrap Procedure. Please wait...\n');
%%% BOOTSTRAPPING
maxIter = de... |
github | duijnhouwer/mountainpro-master | retrieveClusterCovar.m | .m | mountainpro-master/Toolboxes/TwoPhoCoTo/low-level-functions/retrieveClusterCovar.m | 7,357 | utf_8 | 7a3f1b0220550e8eee8efb8e7117e5c1 | function [nVec,vecDist,vecDistWeight] = retrieveClusterCovar(xVec,xVecDist,matRawCovar,matDistances,intClusterSize)
%retrieveClusterCovar Retrieves the mean corriance per cluster for
% every possible cluster in matRawCovar of size
% intClusterSize and bins the results as specified
% by the bin... |
github | duijnhouwer/mountainpro-master | circ_kuipertest.m | .m | mountainpro-master/Toolboxes/Circular Statistics Toolbox/circ_kuipertest.m | 3,047 | utf_8 | 37270a986e4cad19be57eee60abb6776 | function [pval, k, K] = circ_kuipertest(alpha1, alpha2, res, vis_on)
% [pval, k, K] = circ_kuipertest(sample1, sample2, res, vis_on)
%
% The Kuiper two-sample test tests whether the two samples differ
% significantly.The difference can be in any property, such as mean
% location and dispersion. It is a c... |
github | duijnhouwer/mountainpro-master | circ_clust.m | .m | mountainpro-master/Toolboxes/Circular Statistics Toolbox/circ_clust.m | 3,346 | utf_8 | 09f16d972b35b7b7b55b361710748587 | function [cid, alpha, mu] = circ_clust(alpha, numclust, disp)
%
% [cid, alpha, mu] = circClust(alpha, numclust, disp)
% Performs a simple agglomerative clustering of angular data.
%
% Input:
% alpha sample of angles
% numclust number of clusters desired, default: 2
% disp show plot at each ste... |
github | duijnhouwer/mountainpro-master | circ_raotest.m | .m | mountainpro-master/Toolboxes/Circular Statistics Toolbox/circ_raotest.m | 4,132 | utf_8 | a088b9d557b94032992d192ef76b8fd4 | function [p U UC] = circ_raotest(alpha)
% [p U UC] = circ_raotest(alpha)
% Calculates Rao's spacing test by comparing distances between points on
% a circle to those expected from a uniform distribution.
%
% H0: Data is distributed uniformly around the circle.
% H1: Data is not uniformly distributed around th... |
github | duijnhouwer/mountainpro-master | circ_cmtest.m | .m | mountainpro-master/Toolboxes/Circular Statistics Toolbox/circ_cmtest.m | 2,127 | utf_8 | b8057e2fbbbaef56584aa347fe5c81cd | function [pval med P] = circ_cmtest(varargin)
%
% [pval, med, P] = circ_cmtest(alpha, idx)
% [pval, med, P] = circ_cmtest(alpha1, alpha2)
% Non parametric multi-sample test for equal medians. Similar to a
% Kruskal-Wallis test for linear data.
%
% H0: the s populations have equal medians
% HA: the s pop... |
github | duijnhouwer/mountainpro-master | circ_wwtest.m | .m | mountainpro-master/Toolboxes/Circular Statistics Toolbox/circ_wwtest.m | 4,628 | utf_8 | a03e6a3eebe3fefdc3bb309322d2a671 | function [pval table] = circ_wwtest(varargin)
% [pval, table] = circ_wwtest(alpha, idx, [w])
% [pval, table] = circ_wwtest(alpha1, alpha2, [w1, w2])
% Parametric Watson-Williams multi-sample test for equal means. Can be
% used as a one-way ANOVA test for circular data.
%
% H0: the s populations have equal m... |
github | duijnhouwer/mountainpro-master | chcenters.m | .m | mountainpro-master/general/chcenters.m | 4,963 | utf_8 | 7bcc17cb3d9506f7c58b803604140ef6 | function [centers, metric] = chcenters(varargin)
%CHCENTERS Find circle center locations from the Circular Hough Transform accumulator array
% CENTERS = CHCENTERS(H, SUPRESSIONTHRESH, SIGMA) finds all the potential
% circle center locations from the accumulator array H. CENTERS is a
% P-by-2 matrix, where P is t... |
github | yu-jiang/yu-jiang.github.io-master | second_order_example.m | .m | yu-jiang.github.io-master/papers/2012/automatica/second_order_example.m | 1,289 | utf_8 | 3beda24116c17b23b536e51ee790220b | % This is a simple example to illustrate how the algorithm in "Computational
% adaptive optimal control for continuous-time linear systems with
% completely 1known dynamics," by Yu Jiang and Zhong-Ping Jiang
% Automatica, 2012.
function []=second_order_example()
global A B K
clc
A=[0 1;-1 -3];
B=[0;.6];
Q=... |
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