plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | se4u/mvlsa-master | v5_indisvd_level2.m | .m | mvlsa-master/src/process_count/v5_indisvd_level2.m | 3,432 | utf_8 | 200b6eb072a8b8f3b59e216078c4ee7b | function [ajtj, kj_diag, aj, sj, column_picked_logical, bj, mu1, mu2, sum2] = v5_indisvd_level2(...
align_mat, mc_muc, preprocess_option, svd_size, r, outfile)
%% First do the SVD of the align_mat file
[aj, sj, mu1, kj_diag, column_picked_logical, bj, mu2, sum2]=...
v5_indisvd(align_mat, mc_muc, preprocess_opti... |
github | se4u/mvlsa-master | filter_input_filenames.m | .m | mvlsa-master/src/mvlsa/filter_input_filenames.m | 1,236 | utf_8 | af2af0789e282e51944bcc20b5f0b951 | function deptoload=filter_input_filenames(input_filenames, ...
depgroup_to_pick)
exclude_depgroup=(depgroup_to_pick(1)=='E');
groups = strsplit(depgroup_to_pick, '@');
groups = groups(2:end);
deptoload = {};
for infi_idx = 1:length(input_filenames)
i... |
github | UofSSpaceTeam/rover-hardware-master | arm_sim.m | .m | rover-hardware-master/Projects/Arm/ArmOptimization/arm_simulations/arm_sim.m | 20,150 | utf_8 | ecb1bc85fb4a1c1b2988dd72058b149c | function varargout = arm_sim(varargin)
% ARM_SIM MATLAB code for arm_sim.fig
% ARM_SIM, by itself, creates a new ARM_SIM or raises the existing
% singleton*.
%
% H = ARM_SIM returns the handle to a new ARM_SIM or the handle to
% the existing singleton*.
%
% ARM_SIM('CALLBACK',hObject,eventData,... |
github | bittnt/ImageSpirit-master | xml2yaml.m | .m | ImageSpirit-master/CmmCode/Objectness/xml2yaml.m | 882 | utf_8 | 24788cfc055b5979909c95d1a16395ae | %% Convert the file type of opencv xml annotations to yaml thus it can be read by opencv
% This functions relies on http://code.google.com/p/yamlmatlab/
% The results needs to be further refined to deal with indentation problem
function xml2yaml(wkDir)
fNs = dir([wkDir '*.xml']);
fNum = length(fNs);
for ... |
github | bblodfon/femto-power-control-master | femtopower.m | .m | femto-power-control-master/femtopower.m | 11,597 | utf_8 | f33870c32aae802c33c0dc3b3f70f2c2 | % NTUA Thesis code
% John Zobolas, May 2013
function femtopower
format long;
global results;
results = cell(1,10);
% the "standard" coordinates of the FAPs
x = [200 400 400 700 600 600 300 850 800 200 600 800 500 200 100 400 700 900];
y = [500 300 600 600 800 200 800 400 800 200 400 200 90... |
github | Urmish/Mosaic-master | pyr.m | .m | Mosaic-master/pyr.m | 6,443 | utf_8 | 0f73e8bada654499087703fc8338c540 | function blended = pyr( img1,img2, mask1, mask2, level, a )
%TODO - If the original image measures 2N + 1 by 2N + 1, then the pyramid will have N + 1 levels
gKernel = fspecial('gauss',30,15);
mask1 = imfilter(mask1,gKernel,'replicate');
mask2 = imfilter(mask2,gKernel,'replicate');
%figure, imshow(mask1(:,:,1));
%figure... |
github | lvdmaaten/bhtsne-master | fast_tsne.m | .m | bhtsne-master/fast_tsne.m | 5,544 | utf_8 | a4e616a3b68409e3eb6181a7b3d97dfa | function mappedX = fast_tsne(X, no_dims, initial_dims, perplexity, theta, alg, max_iter)
%FAST_TSNE Runs the C++ implementation of Barnes-Hut t-SNE
%
% mappedX = fast_tsne(X, no_dims, initial_dims, perplexity, theta, alg)
%
% Runs the C++ implementation of Barnes-Hut-SNE. The high-dimensional
% datapoints are ... |
github | uvbakutan/QR2.0-master | AccMagnCalib.m | .m | QR2.0-master/arduino/libraries/FreeIMU/calibration_old/AccMagnCalib.m | 2,678 | utf_8 | 10491a6b0d7509e66b73724f78c14c1a | % Calibration routine by Andrea and Pasquale Cirillo www.aepwebmasters.it
% Adapted to FreeIMU library by Fabio Varesano www.varesano.net
% Released under GPL v3 - See See http://www.gnu.org/copyleft/gpl.html
function SpherePlot(X, Y, Z, graph_title, filename)
figure;
subplot(2,2,1); plot3(X,Y,Z);
title(graph_ti... |
github | t-taniai/SDC_CVPR2015-master | SDC_GEO.m | .m | SDC_CVPR2015-master/SDC_GEO.m | 2,592 | utf_8 | c99c42af46b439ce6ec69be89868f660 |
function [labeling,energy,dataTerm, cuts] = SDC_GEO(S0, Fz, img, binImg, binNum, neighbor, SmFunc, T, th_a, th_kappa)
[height, width, ch] = size(img);
N = height*width;
Si = true(height, width);
if ~isempty(S0)
Si = S0;
end
doubleImg = im2double(img);
% construct graph
% E is a set of neighbor pairs (p, q), dir... |
github | compops/pmh-tutorial-master | kalmanFilter.m | .m | pmh-tutorial-master/matlab/kalmanFilter.m | 1,166 | utf_8 | dd9607f60a0d9d1227c8ba99bf5274f2 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Kalman filtering
%
% Johan Dahlin <liu (at) johandahlin.com.nospam>
% Documentation at https://github.com/compops/pmh-tutorial
% Published under GNU General Public License
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
github | ericliu03/DigitRecognizer-master | preImg.m | .m | DigitRecognizer-master/preImg.m | 2,286 | utf_8 | 94801ba8611c7df7855777bf850d8ff6 | function result = preImg(file)
%% read the image file
if strcmp(file(end-2:end), 'png')
[img, map] = imread(file);
img = ind2gray(img,map);
else
img = imread(file);
img = rgb2gray(img);
end
%% preprocess the image
% turn to binary image
img = im2bw(img);
%... |
github | s-gupta/caffe-master | classification_demo.m | .m | caffe-master/matlab/demo/classification_demo.m | 4,913 | utf_8 | e867b082ddf96078b3cba23caf99f0ef | function [scores, maxlabel] = classification_demo(im, use_gpu)
% [scores, maxlabel] = classification_demo(im, use_gpu)
%
% Image classification demo using BVLC CaffeNet.
%
% IMPORTANT: before you run this demo, you should download BVLC CaffeNet
% from Model Zoo (http://caffe.berkeleyvision.org/model_zoo.html)
%
% *****... |
github | JaneliaSciComp/Wavesurfer-master | wavesurfer.m | .m | Wavesurfer-master/wavesurfer.m | 4,998 | utf_8 | a018e9094fe053d0b960ca5343e779f4 | function varargout = wavesurfer(varargin)
%WAVESURFER Launch WaveSurfer, an application for data acquisition.
%
% "WAVESURFER", by itself, launches the WaveSurfer graphical user
% interface (GUI).
%
% "WAVESURFER <protocolFileName>" launches the WaveSurfer GUI,
% opening the named p... |
github | JaneliaSciComp/Wavesurfer-master | lineSpecificationFrom.m | .m | Wavesurfer-master/+ws/lineSpecificationFrom.m | 603 | utf_8 | c6af258975751d08d35274edbdb87f03 | function result = lineSpecificationFrom(deviceNames, terminalIDs)
nLines = length(terminalIDs) ;
if nLines==0 ,
result = '' ;
else
result = singleLineSpecification(deviceNames{1}, terminalID(1)) ;
for i = 2:nLines ,
thisLineSpecification = singleLineSpecification(d... |
github | JaneliaSciComp/Wavesurfer-master | diChannelLineSpecificationFromTerminalIDs.m | .m | Wavesurfer-master/+ws/diChannelLineSpecificationFromTerminalIDs.m | 822 | utf_8 | b063e032ab6a065fc2d246979f3ec341 | function result = diChannelLineSpecificationFromTerminalIDs(deviceName, terminalIDs)
% Given an array of DIO terminal IDs, returns a string suitable for use in
% a call to ws.dabs.ni.daqmx.Task::createDIChan().
% E.g. [0 1 5] -> 'port0/line0, port0/line1, port0/line5'
nLines = length(terminal... |
github | JaneliaSciComp/Wavesurfer-master | transcodeProtocolFile.m | .m | Wavesurfer-master/+ws/transcodeProtocolFile.m | 6,817 | utf_8 | 0f3ce04b2600821e9bc01dea12743874 | function transcodeProtocolFile(protocolFileName, newProtocolFileName)
% Note: whatever version of WS was used to generate the original
% protocol file should be installed when you run this function.
s = load(protocolFileName, '-mat') ;
s.ws_WavesurferModel = transcode(s.ws_WavesurferModel) ... |
github | JaneliaSciComp/Wavesurfer-master | validateAttributes.m | .m | Wavesurfer-master/+ws/validateAttributes.m | 14,892 | utf_8 | 59139efa707a4277cc6b747142baa16a | function val = validateAttributes(val,varargin)
%VALIDATEATTRIBUTES Mimic of built-in function
% val = validateAttributes(val,p1,v1,...)
%
% The validateAttributes mimic exists largely to "expand the repertoire" of
% the built-in validateattributes. Additional Classes, Attributes, etc have
% been added.
%
% In... |
github | JaneliaSciComp/Wavesurfer-master | checkForAliasing.m | .m | Wavesurfer-master/+ws/checkForAliasing.m | 2,732 | utf_8 | d3e7118610192927ab9384aaf8ee8284 | function [isAliasing,pathOfAliasing]=checkForAliasing(thing1,thing2)
pathSoFarInitial='';
[isAliasing,pathOfAliasing]=checkForAliasingHelper(thing1,thing2,pathSoFarInitial);
end
function [isAliasing,pathOfAliasing]=checkForAliasingHelper(thing1,thing2,pathSoFar)
if (isa(thing1,'handle') || isstru... |
github | JaneliaSciComp/Wavesurfer-master | ismemberOfCellArray.m | .m | Wavesurfer-master/+ws/ismemberOfCellArray.m | 450 | utf_8 | 03fb7c70734057f90c60ffee49987efc | function result = ismemberOfCellArray(A,B)
% Like ismember(A,B), but assumes that A and B are cell arrays, and
% that their elements should be compared after being accessed with {}.
result=false(size(A));
for i=1:numel(A) ,
result(i)=isSingletonMemberOfCellArray(A{i},B);
end
end
fu... |
github | JaneliaSciComp/Wavesurfer-master | loadDataFile.m | .m | Wavesurfer-master/+ws/loadDataFile.m | 15,614 | utf_8 | 71ba8c70e36c9a6992aef275eaeb2ea4 | function dataFileAsStruct = loadDataFile(filename, formatString, tMin, tMax, minSweepIndex, maxSweepIndex)
% loadDataFile Loads WaveSurfer data into Matlab.
%
% loadDataFile(filename)
% Loads the indicated WaveSurfer .h5 file. The returned data is a
% structure array with o... |
github | JaneliaSciComp/Wavesurfer-master | loadProfileNames.m | .m | Wavesurfer-master/+ws/loadProfileNames.m | 548 | utf_8 | 5222c1ccf1514163715b15c23f172b72 | function result = loadProfileNames()
preferencesFilePath = ws.preferencesFileNameFromProfileName('Default') ;
preferencesFolderPath = fileparts(preferencesFilePath) ;
matFileNames = ws.simpleDir(fullfile(preferencesFolderPath, '*.wsu')) ;
rawProfileNames = cellfun(@stripDotMat, matFileNames, 'UniformOut... |
github | JaneliaSciComp/Wavesurfer-master | readMachineDataFile.m | .m | Wavesurfer-master/+ws/readMachineDataFile.m | 4,380 | utf_8 | 0fb41062257d1c3830e16940662366ad | function mdfStructure=readMachineDataFile(fileName)
% Read the whole file into one big string
fid=fopen(fileName,'rt');
try
fileContentsAsString=fread(fid,inf,'char=>char')';
catch me
fclose(fid);
rethrow(me);
end
fclose(fid);
% Convert the file conten... |
github | JaneliaSciComp/Wavesurfer-master | SimpleBiasCameraInterface.m | .m | Wavesurfer-master/+ws/+examples/+bias/SimpleBiasCameraInterface.m | 5,868 | utf_8 | 15c965d2c3e0b5cb83af671d13573548 | % HHMI - Janelia Farms Research Campus 2014
% Author: Arunesh Mittal mittala@janelia.org (Adapted from code written by
% Jinyang Liu)
classdef SimpleBiasCameraInterface < handle
properties (SetAccess=protected)
address_ = ''
port_ = []
end
methods
function se... |
github | JaneliaSciComp/Wavesurfer-master | BiasCameraInterface.m | .m | Wavesurfer-master/+ws/+examples/+bias/BiasCameraInterface.m | 13,609 | utf_8 | b3089f284e03018375f0e9bc7a8fee2d | % HHMI - Janelia Farms Research Campus 2014
% Author: Arunesh Mittal mittala@janelia.org (Adapted from code written by
% Jinyang Liu)
classdef BiasCameraInterface < handle
properties
address = ''
port = []
%biasExeDirName = 'bias_fc2_win64-v0.53-plugin-dev-07';
bias... |
github | JaneliaSciComp/Wavesurfer-master | BiasInterface.m | .m | Wavesurfer-master/+ws/+examples/+bias/BiasInterface.m | 13,597 | utf_8 | 091a896dd62b138e99e15289233fb748 | % HHMI - Janelia Farms Research Campus 2014
% Author: Arunesh Mittal mittala@janelia.org (Adapted from code written by
% Jinyang Liu)
classdef BiasInterface < handle
properties
address = ''
port = []
%biasExeDirName = 'bias_fc2_win64-v0.53-plugin-dev-07';
biasExeDir... |
github | JaneliaSciComp/Wavesurfer-master | savejson.m | .m | Wavesurfer-master/+ws/+examples/+bias/private/savejson.m | 19,574 | utf_8 | 569199d735ff68badbdf30b84b22b427 | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Q... |
github | JaneliaSciComp/Wavesurfer-master | loadjson.m | .m | Wavesurfer-master/+ws/+examples/+bias/private/loadjson.m | 17,202 | ibm852 | 7310bf0ab5eac886d93db9b37e25027f | 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 (q.fang <at> neu.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | JaneliaSciComp/Wavesurfer-master | loadubjson.m | .m | Wavesurfer-master/+ws/+examples/+bias/private/loadubjson.m | 13,746 | utf_8 | 4fad4bd3ce0a7919541f2db32460d9ce | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (q.fang <at> neu.edu)
% created on 2013/08/01
%
% $Id$
%
% input:
% fna... |
github | JaneliaSciComp/Wavesurfer-master | saveubjson.m | .m | Wavesurfer-master/+ws/+examples/+bias/private/saveubjson.m | 18,336 | utf_8 | 8e7369885d6843d7786452483c79f6af | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%... |
github | JaneliaSciComp/Wavesurfer-master | savejson.m | .m | Wavesurfer-master/+ws/+examples/+mm/private/savejson.m | 19,574 | utf_8 | 569199d735ff68badbdf30b84b22b427 | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Q... |
github | JaneliaSciComp/Wavesurfer-master | loadjson.m | .m | Wavesurfer-master/+ws/+examples/+mm/private/loadjson.m | 17,202 | ibm852 | 7310bf0ab5eac886d93db9b37e25027f | 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 (q.fang <at> neu.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | JaneliaSciComp/Wavesurfer-master | loadubjson.m | .m | Wavesurfer-master/+ws/+examples/+mm/private/loadubjson.m | 13,746 | utf_8 | 4fad4bd3ce0a7919541f2db32460d9ce | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (q.fang <at> neu.edu)
% created on 2013/08/01
%
% $Id$
%
% input:
% fna... |
github | JaneliaSciComp/Wavesurfer-master | saveubjson.m | .m | Wavesurfer-master/+ws/+examples/+mm/private/saveubjson.m | 18,336 | utf_8 | 8e7369885d6843d7786452483c79f6af | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%... |
github | JaneliaSciComp/Wavesurfer-master | ModularClient.m | .m | Wavesurfer-master/+ws/+examples/+pez/ModularClient.m | 16,047 | utf_8 | 5f6e750874adb7e0b7346542366a3ef7 | % ModularClient - This is the Matlab modular device client library for
% communicating with and calling remote methods on modular device
% servers.matlab serial interface for controlling and
%
% Public properties
% ------------------
%
% * debug = debug flag, turns on debug messages if true.
%
% (Dependent)
%... |
github | JaneliaSciComp/Wavesurfer-master | randomTrialSequence.m | .m | Wavesurfer-master/+ws/+examples/+pez/randomTrialSequence.m | 4,528 | utf_8 | cce3f30f7833996e9a639be24a25c3cd | function trialSequence = randomTrialSequence(trialCount, maximumRunLength, laserTrialSpacing)
% Eliminates sequences of longer than maximumRunLength from rawTrialSequence.
% Each element of rawTrailSequence should be 1 or 2.
if maximumRunLength < 2 ,
% In theory, maximumRunLength could be ... |
github | JaneliaSciComp/Wavesurfer-master | savejson.m | .m | Wavesurfer-master/+ws/+examples/+pez/private/savejson.m | 19,101 | utf_8 | 9346cacb95a4048842a32c5c31d5e51a | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | JaneliaSciComp/Wavesurfer-master | loadjson.m | .m | Wavesurfer-master/+ws/+examples/+pez/private/loadjson.m | 16,691 | ibm852 | dd2f29841eebc41459f714f33090e1d3 | 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 (q.fang <at> neu.edu)
% created on 2011/09/09, including previous works from
%
% Nedial... |
github | JaneliaSciComp/Wavesurfer-master | loadubjson.m | .m | Wavesurfer-master/+ws/+examples/+pez/private/loadubjson.m | 13,289 | utf_8 | 842713b4791ce7f90f68ee37ac2b6138 | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (q.fang <at> neu.edu)
% created on 2013/08/01
%
% $Id$
%
% input:
% fname: input file... |
github | JaneliaSciComp/Wavesurfer-master | saveubjson.m | .m | Wavesurfer-master/+ws/+examples/+pez/private/saveubjson.m | 17,768 | utf_8 | 9d6ad2481e94361a1d7c8b5f08908230 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | JaneliaSciComp/Wavesurfer-master | jtcp.m | .m | Wavesurfer-master/+ws/+jtcp/jtcp.m | 19,854 | utf_8 | fada54e2ac14dea4884f013c14cecb7b | function [varargout] = jtcp(actionStr,varargin)
%
% jtcp.m--Uses Matlab's Java interface to handle Transmission Control
% Protocol (TCP) communications with another application, either on the
% same computer or a remote one. This version of jtcp is not restricted to
% transmitting and receiving variables of type i... |
github | ndwork/dworkLib-master | quadRoots.m | .m | dworkLib-master/quadRoots.m | 1,957 | utf_8 | 0174c9c94c111a6ea82bd07e203dd1d9 |
function [roots,roots2] = quadRoots( p, b, c )
% roots = quadRoots( a, b, c ) or
% roots = quadRoots( p ) or
% [roots1,roots2] = quadRoots( a, b, c ) or
% [roots1,roots2] = quadRoots( p );
%
% Numerically stable method of Determining the roots of a quadratic polynomial
% Written according to equation 5.6... |
github | ndwork/dworkLib-master | imColorResize.m | .m | dworkLib-master/imColorResize.m | 1,353 | utf_8 | cc05fd992ff6e245f9c4165d17ddc38a |
function out = imColorResize( img, newSize, varargin )
% out = imColorResize( img, newSize, varargin )
%
% Inputs:
% img - original color image
% newSize - 1, 2, or 3 element array specifying new array size;
% If 1 element, then assumed to be the scale
% 3rd element must be 3. If two element... |
github | ndwork/dworkLib-master | matrixVolProd.m | .m | dworkLib-master/matrixVolProd.m | 1,158 | utf_8 | 078c9009f514a89a33bb64d3c0bed037 |
function out = matrixVolProd( A, vol )
% out = matrixVolProd( A, vol )
%
% Left matrix multiply each slice of vol by the matrix A.
% If the 3rd dimension of vol is much larger than the dimensions of A, this
% is faster than just writing a loop.
%
% Inputs:
% A - 2D array of size MxN
% vol - 3D array ... |
github | ndwork/dworkLib-master | mri_reconGRAPPA.m | .m | dworkLib-master/mri_reconGRAPPA.m | 14,590 | utf_8 | 46eca13b11a94fa0e7d9707addd93610 | function k_out = mri_reconGRAPPA( k_in, kernel_sz, acr_sz )
%
% Generalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) is a parallel imaging
% reconstruction algorithm for magnetic resonance imaging. It reconstructs missing samples as a
% linear combination of nearby points in k-space from *all ... |
github | ndwork/dworkLib-master | findRadialDistortionFromLines.m | .m | dworkLib-master/findRadialDistortionFromLines.m | 3,034 | utf_8 | f95679a353da040edc13b54b2b39e160 |
function [ ks, c ] = findRadialDistortionFromLines( lines, varargin )
% k = findRadialDistortionFromLines( img, lines [, order ] )
%
% Note: this function assumes the aspect ratio of point coordinates is 1.
%
% Inputs:
% lines - a 1D cell array where each cell contains a set of points belonging to a line
... |
github | ndwork/dworkLib-master | panSharpen.m | .m | dworkLib-master/panSharpen.m | 4,082 | utf_8 | f75ad47541f2e3db12b61ef0a08266ee |
function out = panSharpen( M, C, varargin )
% out = panSharpen( M, C/R [, G, B, IR, 'chWs', chWs, 'lambda', lambda, 'sigma', sigma ] )
%
% The algorithm implemented is described in "Fusion of Multispectral and Panchromatic
% Images Using a Restoration-Based Method" by Zhenhua Li et al.
%
% Inputs:
% Eith... |
github | ndwork/dworkLib-master | alphaBlend.m | .m | dworkLib-master/alphaBlend.m | 919 | utf_8 | 057ca0db387a714f4f816b4ea88b358d |
function fused = alphaBlend( img1, img2, alpha )
% out = alphaBlend( img1, img2 [, alpha ] )
%
% Perform alpha blending image fusion
%
% Inputs:
% img1 - a 2D or 3D array representing the first image
% img2 - a 2D or 3D array representing the third image
%
% Optional Inputs:
% alpha - out = alpha *... |
github | ndwork/dworkLib-master | circConv.m | .m | dworkLib-master/circConv.m | 1,521 | utf_8 | 50ae6d2901aded0e4b46cbe38bf77dfe |
function out = circConv( inArray, kernel, op )
% out = circConv( inArray, kernel [, op ] )
%
% Calculates the circular convolution of inArray with kernel.
% The origin of inArray is the first element.
% The origin of kernel is the center element.
%
% Inputs:
% inArray - a 2D array
% kernel - a sm... |
github | ndwork/dworkLib-master | norms.m | .m | dworkLib-master/norms.m | 1,010 | utf_8 | f4115da21da53c07f6d7948f77af3e73 |
function out = norms( A, p, dim )
% out = norms( A [, p, dim ] )
%
% Calculates the p norm of A along dimension dim
%
% Inputs:
% A - a matrix of dimension <= dim
%
% Optional Inputs:
% p - Compute the Lp norm (default is 2)
% dim - (default is last dimension)
%
% Written by Nicholas Dwork - Co... |
github | ndwork/dworkLib-master | getFeaturesFromImg.m | .m | dworkLib-master/getFeaturesFromImg.m | 1,170 | utf_8 | e5c8f002d0accfd1b8b1a5054737f8ef |
function [features,values] = getFeaturesFromImg( n, varargin )
% features = getFeaturesFromImg( n [, scale ] )
%
% Inputs:
% n - the number of features to select
% scale - the scale of the displayed image (default is 1)
%
% Output:
% features - a 2 column array. The first column are the x (or
% hori... |
github | ndwork/dworkLib-master | isOdd.m | .m | dworkLib-master/isOdd.m | 1,478 | utf_8 | 4a8291f5823d79e9dec2fdfb2829c9b8 |
function [out,error] = isOdd( data, varargin )
% [out,error] = isOdd( data, [ threshold ] )
% Determines whether or not data is odd (with circular boundary
% conditions)
% Indexes are defined according to fftshift
%
% Inputs:
% data is a 1D or 2D array
% threshold is an optional input. The relative ... |
github | ndwork/dworkLib-master | size2fftCoordinates.m | .m | dworkLib-master/size2fftCoordinates.m | 1,686 | utf_8 | 85f4a47c1401603d446f8c9081dbf49f |
function ks = size2fftCoordinates( N )
% ks = size2fftCoordinates( N )
%
% Inputs:
% N is an an array specifying the number of elements in each dimension.
% For example, N can be a two element array [Ny Nx] specifying the
% number of row and columns of the Fourier Transformed image.
%
% Outputs... |
github | ndwork/dworkLib-master | drawContour.m | .m | dworkLib-master/drawContour.m | 1,890 | utf_8 | 4a3deb46b16c7cfba807585cc952e1c6 |
function contour = drawContour( img, varargin )
% contour = drawContour( img )
%
% displays figure to the screen and lets user create a contour
% Type 'h' for help
%
% Inputs:
% img - 2D array representing the grayscale image or 3D array
% representing the color image (third dimension has size ... |
github | ndwork/dworkLib-master | indx2str.m | .m | dworkLib-master/indx2str.m | 1,200 | utf_8 | e5e56bd9003add1451fb9e1f2a35a28b |
function out = indx2str( indx, N )
% out = indx2str( indx [, N ] )
%
% Converts index to a string the appropriate size for N with padded zeros
% For example, if N is 100, will convert indx=88 into '088';
%
% Inputs:
% indx - the number to convert into a string
%
% Optional Inputs:
% N - the maximum... |
github | ndwork/dworkLib-master | showFeaturesOnImg.m | .m | dworkLib-master/showFeaturesOnImg.m | 2,091 | utf_8 | 3b546e14fd04064c2ea3ab5e2b0e554b |
function showFeaturesOnImg( features, varargin )
% showFeaturesOnImg( features [, img, 'range', range, 'scale', scale, ...
% 'color', color, 'figH', figH, 'connect', true/false, 'offset', offset ] )
%
% Inputs:
% features - 2D array of size Nx2
% N is the number of points
% The first/second column ... |
github | ndwork/dworkLib-master | showVolumeSlices.m | .m | dworkLib-master/showVolumeSlices.m | 1,462 | utf_8 | d3ae2c8bebdb32702634dc8abe81f0a7 |
function out = showVolumeSlices( vol, varargin )
% showVolumeSlices( vol, [ range, 'rots', rots, 'noshow', noshow ] );
%
% Show the middle slices in each dimension
%
% Inputs:
% vol - a 3D array
% rots - a 3 element array specifying the rotation to apply to each frame
% noshow - if true, no image is di... |
github | ndwork/dworkLib-master | wtHaar2.m | .m | dworkLib-master/wtHaar2.m | 2,350 | utf_8 | 18c6d9617e0490ab1b58eb1e6e925ce4 |
function wt = wtHaar2( img, varargin )
% wt = wtHaar2( sig [, split ] );
% Performs a Haar wavelet transform of an image
%
% Inputs:
% img - 2D array representing the image to be transformed
%
% Optional Inputs:
% split - array specifying the number of levels of the wavelet transform.
% by default,... |
github | ndwork/dworkLib-master | crossCorrelate.m | .m | dworkLib-master/crossCorrelate.m | 1,805 | utf_8 | ec87b230823bf7b508c533398ca05d3d |
function out = crossCorrelate( inArray, kernel, op )
% out = out = crossCorrelate( inArray, kernel [, op ] )
%
% Calculates the cross correlation of inArray with kernel.
% The origin of inArray is the first element.
% The origin of kernel is the center element.
%
% Inputs:
% inArray - an N dimensio... |
github | ndwork/dworkLib-master | findDoGFeatures2D.m | .m | dworkLib-master/findDoGFeatures2D.m | 1,089 | utf_8 | 82971839b3749d09e9472fecacad7dde |
function features = findDoGFeatures2D( img, varargin )
% features = findDoGFeatures2D( vol, ...
% [ 'nFeatures', nFeatures, 'dThresh', dThresh ] )
defaultNFeatures = 100;
defaultDThresh = 10;
p = inputParser;
p.addParamValue( 'nFeatures', defaultNFeatures );
p.addParamValue( 'dThresh', defaultDThresh ... |
github | ndwork/dworkLib-master | mri_reconJointSparse.m | .m | dworkLib-master/mri_reconJointSparse.m | 4,285 | utf_8 | 5b254b492fbd1930c948472903710291 |
function [recons,objectiveValues] = mri_reconJointSparse( data, traj, sImg, ...
lambda, varargin )
% recons = mri_reconJointSparse( data, traj, sImg, lambda [,
% 'alpha', alpha, 'W', W, 'nC', nC ] )
%
% Inputs:
% data - an NxC array of data values where N is the number of data points and
% C is the... |
github | ndwork/dworkLib-master | wtDaubechies.m | .m | dworkLib-master/wtDaubechies.m | 2,002 | utf_8 | 4b09a957cf3eade4f75f787b14ace0d3 |
function wt = wtDaubechies( sig, varargin )
% wt = wtDaubechies( sig [, split] );
%
% Performs a Daubechies wavelet transform of a signal with circular boundary conditions
% Based on the Wikipedia page on the Daubechies wavelet transform and
% (http://wavelets.pybytes.com/wavelet/db2/)
% Note that this is ... |
github | ndwork/dworkLib-master | legendnice.m | .m | dworkLib-master/legendnice.m | 1,097 | utf_8 | cf3e675da6f1f41425572b5d3aa43f86 |
function legHandle = legendnice( varargin )
% legHandle = legendnice( names [, 'ax', ax ] )
%
% Makes a legend with large font and puts it in the best place
%
% Inputs:
% names - a cell array that will be the legend
%
% Outputs:
% legHandle - the handle to the legend
%
% Optional Inputs:
% ax -... |
github | ndwork/dworkLib-master | nonlocalMeans.m | .m | dworkLib-master/nonlocalMeans.m | 5,629 | utf_8 | b61ed1b86fd75c1369d3e17103e24c87 | function out = nonlocalMeans( img, varargin )
%out = nonlocalMeans( img, [ 'kSize', kSize, 'searchSize', searchSize, ...
% 'sigmaS', sigmaS ] );
%
% Inputs
% img: the input image to be denoised (a 2D array)
% kSize: (optional) the length of each side of the kernel
% searchSize: (optional) the lengt... |
github | ndwork/dworkLib-master | mrs_reconSVD.m | .m | dworkLib-master/mrs_reconSVD.m | 1,363 | utf_8 | 0a5f85d567665c4481383e17d5d3d60f |
function out = mrs_reconSVD( coilSpectrums )
% out = mrs_reconSVD( coilSpectrums )
%
% Combines the spectrums from all coils into a single spectral image
% using the SVD method of "Spectral analysis of multichannel MRS data" by
% Sandgren et al.
%
% Inputs:
% coilSpectrums - an array of size sImg x nCo... |
github | ndwork/dworkLib-master | circularCrop.m | .m | dworkLib-master/circularCrop.m | 2,635 | utf_8 | 4e2e1009a0c7aaba204c25e1893c1a78 |
function out = circularCrop( data, newSize )
% out = circularCrop( data, newSize )
%
% Inputs:
% data - array
% newSize - 1D array with number of elements equal to the number of dimensions of data
% or a scalar (which assumes same cropped size in all dimensions)
%
% Outputs:
% out - array o... |
github | ndwork/dworkLib-master | findAndTrackFeatures3D.m | .m | dworkLib-master/findAndTrackFeatures3D.m | 1,576 | utf_8 | cce8e97e62d240da7d8e002aecd02e0e |
function [pts1, pts2] = findAndTrackFeatures3D( vol1, vol2, varargin )
% corners = findAndTrackCorners( vol1, vol2 ...
% [, 'N', N, 'buffer', buffer, 'w', w, ...
% 'searchWidth', searchWidth, 'offset', offset ] )
%
% Inputs:
% vol1/vol2 - 2D arrays; find features in img1 and track into img2
% N - the... |
github | ndwork/dworkLib-master | displayNice.m | .m | dworkLib-master/displayNice.m | 2,372 | utf_8 | e3656bf0845d4ef2d1a75c65321808a7 |
function displayNice( dispFunctionH, in1, varargin )
% disFunctionH - the function handle of the display function
% (may be plot or semilogy)
%
% This function is called by plotnice and semilogynice
%
% Written by Nicholas Dwork, Copyright 2019
%
% This software is offered under the GNU General Publi... |
github | ndwork/dworkLib-master | smoothData.m | .m | dworkLib-master/smoothData.m | 3,273 | utf_8 | 7d4f0ba6f1190061686165eb78493a59 |
function out = smoothData( in, varargin )
% out = smoothData( in [, N, 'gaussian', sigma, 'op', op ] );
%
% Inputs:
% in - either a 2D array (representing an image) or a 3D array (representing a color image)
% if op is 'notransp' then in should be the image
% if op is 'transp' then adjoint is applied t... |
github | ndwork/dworkLib-master | makeGaussFilter.m | .m | dworkLib-master/makeGaussFilter.m | 1,395 | utf_8 | 9ebd6606c786e84a539e7b1b5df478fe |
function f = makeGaussFilter( N, C )
% f = makeGaussFilter( N, C )
% This function makes a gaussian filter of arbitrary dimensions
% The final filter is N(1) x N(2) x ... x N(end) in size.
% C is the covariance matrix with units in pixels.
% If C is a single element, the covariance matrix is assumed to be
... |
github | ndwork/dworkLib-master | smoothImg.m | .m | dworkLib-master/smoothImg.m | 2,380 | utf_8 | 4c765b26a2fd7f5025889fd01190ce1a |
function out = smoothImg( in, varargin )
% out = smoothImg( in [, N, 'gaussian', sigma, 'op', op ] );
%
% Inputs:
% in - either a 2D array (representing an image) or a 3D array (representing a color image)
% if op is 'notransp' then in should be the image
% if op is 'transp' then adjoint is applied to ... |
github | ndwork/dworkLib-master | lassoCP.m | .m | dworkLib-master/lassoCP.m | 2,033 | utf_8 | 21b3135e8d6f03923a4d29e4d9bdfde8 |
function [x,residuals] = lassoCP( K, b, gamma, varargin )
% [x,residuals] = lassoCP( K, b, gamma [, sigma, tau, ...
% theta, 'nIter', nIter ] );
%
% Solves the Lasso problem:
% minimize (1/2)|| K x - b ||_2 + gamma || x ||_1
% Uses Chambolle-Pock (Primal-Dual Algorithm) based on A First-Order
% Pri... |
github | ndwork/dworkLib-master | mrs_findSensitivityMaps.m | .m | dworkLib-master/mrs_findSensitivityMaps.m | 1,655 | utf_8 | 2c25d43a38102a7889ecf8d4405ec890 |
function sMaps = mrs_findSensitivityMaps( coilSpectrums, noiseCoords )
% sMaps = mrs_findSensitivityMaps( coilSpectrums )
%
% Inputs:
% coilSpectrums - an array of size sImg x nCoils x nF representing the Fourier value
% of each spatial location and frequency bin
% The data is in space and temporal fre... |
github | ndwork/dworkLib-master | orthogonalMatchingPursuit.m | .m | dworkLib-master/orthogonalMatchingPursuit.m | 1,242 | utf_8 | 79cc707286c02fadb415e6ad17b0b822 |
function x = orthogonalMatchingPursuit( A, b, K )
% x = orthogonalMatchingPursuit( A, b, K )
%
% Written according to "Signal Reconvery From Random Measurements Via
% Orthogonal Matching Pursuit" by Tropp and Gilbert and "Orthogonal
% Matching Pursuit: Recursive Function Approximation with Applications to
... |
github | ndwork/dworkLib-master | volVecMatrixProd.m | .m | dworkLib-master/volVecMatrixProd.m | 688 | utf_8 | 820832f4246450315610b87b9516889e |
function out = volVecMatrixProd( vol, vec )
% Each slice of vol is a matrix that will multiply a column vector
%
% Inputs:
% vol - an MxNxK array where vol(:,:,k) left multiplies vec
% vec - an Nx1 array that is left multiplied by each slice of vol
%
% Outputs:
% out - an Mx1xK array
%
% Written by... |
github | ndwork/dworkLib-master | findNumLinesInFile.m | .m | dworkLib-master/findNumLinesInFile.m | 788 | utf_8 | 59ad7bb157c99d287671749ff4252cc6 |
function nLines = findNumLinesInFile( file )
% nLines = findNumLinesInFile( file );
%
% Inputs:
% file - string with filename
%
% Outputs:
% nLines - the number of lines in the file
%
% Written by Nicholas Dwork - Copyright 2017
%
% This software is offered under the GNU General Public License 3.... |
github | ndwork/dworkLib-master | sobel.m | .m | dworkLib-master/sobel.m | 720 | utf_8 | 09ab3c6753d45798e997a7ae0eb996ea |
function out = sobel( img )
% out = sobel( img )
%
% Calculates the sobel operator of an image
%
% Written by Nicholas Dwork - Copyright 2020
%
% This software is offered under the GNU General Public License 3.0. It
% is offered without any warranty expressed or implied, including the
% implied warr... |
github | ndwork/dworkLib-master | parpoolExists.m | .m | dworkLib-master/parpoolExists.m | 437 | utf_8 | e11d303eb27cf03395e5081b50988247 |
function out = parpoolExists()
% out = parpoolExists()
%
% Determines if a parpool has been created or not
%
% Written by Nicholas Dwork, Copyright 2018
%
% This software is offered under the GNU General Public License 3.0. It
% is offered without any warranty expressed or implied, including the
% i... |
github | ndwork/dworkLib-master | makePrecompWeights_2D.m | .m | dworkLib-master/makePrecompWeights_2D.m | 28,676 | utf_8 | 58321953c8860fbd762237d9289ba62a |
function [weights,nOptIter,flag,res] = makePrecompWeights_2D( kTraj, varargin )
% [weights,nOptIter,flag,res] = makePrecompWeights_2D( kTraj [, 'sImg', sImg, ...
% 'alpha', alpha, 'W', W, 'nC', nC, 'alg', alg, 'subAlg', subAlg ] )
%
% Determine the density pre-compensation weights to be used in gridding
%
... |
github | ndwork/dworkLib-master | iwtDaubechies.m | .m | dworkLib-master/iwtDaubechies.m | 1,952 | utf_8 | 29cd5f92a104603cb08d1820989a3ca6 |
function sig = iwtDaubechies( wt, varargin )
% sig = iwtDaubechies( wt [, split] );
% Performs an inverse Daubechies wavelet transform of a signal with
% circular boundary conditions
% Note that this is a unitary transform
%
% Inputs:
% wt - 1D array representing the wavelet transform of the signal
... |
github | ndwork/dworkLib-master | lm.m | .m | dworkLib-master/lm.m | 1,681 | utf_8 | 0d453d30a63314e3fa52b744c82204f7 |
function out = lm( f, fPrime, x0, varargin )
% out = lm( f, fPrime, x0 [, 'L0', L0, 'nIter', nIter ] )
%
% This is an implementation of the Levenberg-Marquardt algorithm that
% utilizes an analytic expression of the gradient of the objective function.
%
% Inputs:
% f - handle for function to be minimized... |
github | ndwork/dworkLib-master | iwtHaar.m | .m | dworkLib-master/iwtHaar.m | 1,433 | utf_8 | 15381bacc119093352d03cb3fadd3f9c |
function sig = iwtHaar( wt, varargin )
% sig = iwtHaar( wt [, split] );
% Performs an inverse Haar wavelet transform of a signal
%
% Inputs:
% wt - 1D array representing the wavelet transform of the signal
%
% Optional Inputs:
% split - array specifying the number of levels of the wavelet transform.
... |
github | ndwork/dworkLib-master | ctBackProject.m | .m | dworkLib-master/ctBackProject.m | 2,993 | utf_8 | c2acd4eca53c9db7f82b7d813988ced1 |
function bp = ctBackProject( sinogram, thetas, dSize, cx, cy, Nx, Ny, ...
dx, dy, varargin )
% bp = ctBackProject( sinogram, thetas, dSize, cx, cy, Nx, Ny, dx, dy [, 'type', ] )
%
% Performs back projection of a sinogram with physical units of a computed
% tomography detector
%
% Inputs:
% sin... |
github | ndwork/dworkLib-master | fftshift2.m | .m | dworkLib-master/fftshift2.m | 664 | utf_8 | 1f05fb41dd72c76ce33c8d0fe3ba0894 |
function out = fftshift2( in )
% out = fftshift2( in )
%
% Performs fftshift on the first two dimensions of in
%
% Inputs:
% in - input array of at least two dimensions
%
% Outputs:
% out - output array
%
% Written by Nicholas Dwork - Copyright 2021
%
% This software is offered under the GNU ... |
github | ndwork/dworkLib-master | makeLoraksMatrix.m | .m | dworkLib-master/makeLoraksMatrix.m | 3,570 | utf_8 | 2d719e0783d3e1673f595dd895f3893b |
function out = makeLoraksMatrix( in, varargin )
% out = makeLoraksMatrix( in [, 'op', op, 'R', R, 'sKData', sKData ] );
%
% Makes the C LORAKS matrix from the k-space array in.
% The C LORAKS matrix is defined in "Low-Rank Modeling of Local k-Space
% Neighborhoods (LORAKS) for Constrained MRI" by Justin Hald... |
github | ndwork/dworkLib-master | mri_ab2Matrix.m | .m | dworkLib-master/mri_ab2Matrix.m | 984 | utf_8 | b380f0e322666bbcf9f3e301ca73eb18 |
function M = mri_ab2Matrix( a, b )
% Converts the Cayley-Klein parameters into a matrix so that
% next([ Mxy; conj(Mxy); Mz]) = Matrix * [ Mxy; conj(Mxy); Mz ]
%
% Inputs
% a - a 1D array of the alpha CK parameters
% b - a 1D array of the beta CK parameters
%
% Outputs:
% M - a 3D array of size 3x3xN... |
github | ndwork/dworkLib-master | bisectionMethod.m | .m | dworkLib-master/bisectionMethod.m | 1,619 | utf_8 | f9a9265cf03bd7be110d8a1ad30a8773 |
function biRoot = bisectionMethod( biFunc, xLB, xUB, varargin )
% biRoot = bisectionMethod( biFunc, x1, x2, varargin )
%
% Finds the root of the function biFunc
%
% Inputs:
% biFunc - function handle; root will be found of this function
% xLB - lower bound on root
% xUB - upper bound on root
%
% Op... |
github | ndwork/dworkLib-master | wtHaar.m | .m | dworkLib-master/wtHaar.m | 1,349 | utf_8 | 67849662108eeb3d25a68e870d67bc97 |
function wt = wtHaar( sig, varargin )
% wt = wtHaar( sig [, split] );
% Performs a Haar wavelet transform of a signal
% Note that this is a unitary transform
%
% Inputs:
% sig - 1D array representing the signal to be transformed
%
% Optional Inputs:
% split - array specifying the number of levels of ... |
github | ndwork/dworkLib-master | ctIRadon2DFT.m | .m | dworkLib-master/ctIRadon2DFT.m | 2,320 | utf_8 | 13e844432b51ed76bea9af1c4a22a6cc |
function out = ctIRadon2DFT( sinogram, thetas, dSize, cx, cy, Nx, Ny, dx, dy, window )
% ctIRadon2DFT( sinogram, thetas, dSize, cx, cy, Nx, Ny, dx, dy, window )
%
% Computes the inverse Radon transform with the Fourier Slice theorem using
% physical units of a computed tomography detector
%
% Inputs... |
github | ndwork/dworkLib-master | iGrid.m | .m | dworkLib-master/iGrid.m | 1,284 | utf_8 | c22bd73ff0bdb4a01ecba8eb8f6b20c1 |
function k = iGrid( img, traj, varargin )
% k = iGrid( img, traj, [ 'alpha', alpha, 'W', W, 'nC', nC ] )
%
% Inverse Gridding based on Beatty et. al., IEEE TMI, 2005
% Detailed in the following document http://nicholasdwork.com/tutorials/dworkGridding.pdf
%
% Inputs:
% img is an array specifying the volu... |
github | ndwork/dworkLib-master | mri_reconGridding.m | .m | dworkLib-master/mri_reconGridding.m | 3,461 | utf_8 | cef34463d70d9e334cd070962ec87083 |
function recons = mri_reconGridding( kData, traj, sImg, varargin )
% recons = mri_reconGridding( kData, trajs, sImg [, 'alg', alg, 'alpha', alpha, ...
% 'W', W, 'nC', nC, 'weights', weights, 'verbose', verbose ] )
%
% Performs a gridding recon for each coil
%
% Inputs:
% kData - A complex N x C x D1 x ... |
github | ndwork/dworkLib-master | stats.m | .m | dworkLib-master/stats.m | 2,466 | utf_8 | 32f0fa3e5cfbd4609c5899aa76ca445c |
function stats( data )
% stats( data )
%
% display several relevant stats about the data array to the screen
%
% Written by Nicholas Dwork - Copyright 2017
%
% https://github.com/ndwork/dworkLib.git
%
% This software is offered under the GNU General Public License 3.0. It
% is offered without any ... |
github | ndwork/dworkLib-master | volVecsMatrixProd.m | .m | dworkLib-master/volVecsMatrixProd.m | 746 | utf_8 | 8175bd25a70945bd586716e840915b17 |
function out = volVecsMatrixProd( A, vs )
% out = volVecsMatrixProd( A, vs )
%
% Matrix multiplies each slice of A by each colum of vs
%
% Inputs:
% A - A 3D array
% vs - A 2D array representing a set of vectors (each col is a vector)
%
% Outputs:
% out - out(:,i) = A(:,:,i) * vs(:,i) for all i
%... |
github | ndwork/dworkLib-master | applyC_2D.m | .m | dworkLib-master/applyC_2D.m | 7,703 | utf_8 | 3fe0c4955eb022ad7cbcad6b0c9b8da0 |
function out = applyC_2D( F, domTraj, rangeTraj, kCy, kCx, Cy, Cx )
% out = applyC_2D( F, domTraj, N, kCy, kCx, Cy, Cx )
% or
% out = applyC_2D( F, N, rangeTraj, kCy, kCx, Cy, Cx )
% or
% out = applyC_2D( F, domTraj, rangeTraj, kCy, kCx, Cy, Cx )
%
% Applies a continuous circular convolution of a kernel ... |
github | ndwork/dworkLib-master | projCmpMag.m | .m | dworkLib-master/projCmpMag.m | 887 | utf_8 | f56c0037a57aaaae1aef187061240692 |
function out = projCmpMag( x, t )
% out = projCmpMag( x, t )
%
% Project x so that its magnitude is less than or equal to t
%
% Inputs:
% x - an array of values to project onto the set {|x_i| <= t for all i}
% t - scalar >= 0
%
% out - array of size(x) with projected magnitudes
%
% Written by Nic... |
github | ndwork/dworkLib-master | fitPolyToData.m | .m | dworkLib-master/fitPolyToData.m | 1,261 | utf_8 | 13671d0a5b0dedcdaa4c35bac472f2e3 |
function [v,RSquared] = fitPolyToData( N, x, y )
% [v,RSquared] = fitPolyToData( N, x [, y] )
%
% This function finds a polynomial p so that || y - p(x) ||_2 is minimized
%
% Inputs:
% N - the order of the polynomial
% x - (optional) domain values. If not supplied, x = 1, 2, ..., numel(y)
% y - range ... |
github | ndwork/dworkLib-master | getGammaH.m | .m | dworkLib-master/getGammaH.m | 285 | utf_8 | 44ecd2c34d297857a4b82fc2895c2af9 |
function [gammaBar, gamma] = getGammaH()
% Returns the gyromagnetic ratio of hydrogen
% [gammaBar, gamma] = getGammaH()
% gammaBar is in kHz / Gauss
% gamma is in kRad / Gauss
gammaBar = 4.2576; % kHz / Gauss
gamma = 2*pi*gammaBar; % kRad / Gauss / s
end
|
github | ndwork/dworkLib-master | ransacDltHomographyFromPts2D.m | .m | dworkLib-master/ransacDltHomographyFromPts2D.m | 1,718 | utf_8 | 972ac8a372cd9786532dbafee955e633 |
function [H,inlierIndxs,outlierIndxs] = ransacDltHomographyFromPts2D( ...
pts1, pts2, thresh )
% [H,inlierIndxs,outlierIndxs] = ransacDltHomographyFromPts2D( ...
% pts1, pts2, thresh )
% This function finds the 3x3 homography H such that pt2 = H * pt1;
% It implements RANSAC with the Direct Linear Transfor... |
github | ndwork/dworkLib-master | mri_lowRankRecon.m | .m | dworkLib-master/mri_lowRankRecon.m | 4,026 | utf_8 | 941608be9475b0601af661c8d7fcdc11 |
function [recon,objectiveValues] = mri_lowRankRecon( data, traj, sMaps, ...
lambda, varargin )
% recon = mri_lowRankRecon( data, traj, sMaps, lambda [,
% 'alpha', alpha, 'W', W, 'nC', nC ] )
%
% Dynamic MRI reconstruction using low rank regularization in the temporal dimension
% Written as problem (6) i... |
github | ndwork/dworkLib-master | imshownice.m | .m | dworkLib-master/imshownice.m | 4,164 | utf_8 | 18f08947f2746c16a560b26f56a8e2d9 |
function [scaling,imH] = imshownice( img, varargin )
% scaling = imshownice( img [, scale, 'method', method, 'sdevScale', sdevScale, ...
% 'thresh', thresh, 'border', border ] )
% show the image on the following scale:
% meanImg - sdevScale*sdevImg, meanImg + sdevScale*sdevImg
%
% Inputs:
% img - 2D ... |
github | ndwork/dworkLib-master | powerIteration.m | .m | dworkLib-master/powerIteration.m | 5,549 | utf_8 | 69f5e9434cfeb56e2f119e84283ed472 |
function [nrm,flag] = powerIteration( M, varargin )
% Determines an approximation for the norm of the matrix M
%
% [nrm,flag] = powerIteration( M [, x0, 'maxIters', maxIters, 'symmetric', true/false, ...
% 'tolerance', tolerance, 'verbose', true/false ])
%
% Inputs:
% M is either a matrix or a function... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.