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 | galdl/outage_scheduling-master | generalSCUC_noSUcost.m | .m | outage_scheduling-master/src/obsolete/generalSCUC_noSUcost.m | 11,820 | utf_8 | 86e4608054553ed5b5a422a696543fdc | %case5,case24_ieee_rts,case3012wp
%When nargin>2 , this function is used for the dynamic myopic UC (horizon=1),
%where we try to not deviate from the original onoff plan, and to have the
%least deviation from the original Pg due to redispatch costs
function [Pg,objective,onoff,y,demandVector]=generalSCUC(str,param... |
github | galdl/outage_scheduling-master | ED.m | .m | outage_scheduling-master/src/obsolete/ED.m | 2,457 | utf_8 | 84715f14134a5b4b171e5da6705ad5f4 | %solves ED
function [Pg,objective,onoff] = ED(params)
%% Data
mpc=params.mpcase;
mpc=ext2int(mpc);
define_constants;
%% data dimensions
nb = size(mpc.bus, 1); %% number of buses
nl = size(mpc.branch, 1); %% number of branches
ng = size(mpc.gen, 1); %% number of dispatchable injections
%% create (r... |
github | galdl/outage_scheduling-master | escalateUC.m | .m | outage_scheduling-master/src/obsolete/escalateUC.m | 1,857 | utf_8 | dcb3110ed0908d1d6edc2d997feed84f | %Currently this is run outside after decided not to follow original commitment
%(dynamicUCParams.enforceOnoff=0), but doesn't have to be that way in the future
function [Pg,objective,onoff,y,demandVector,state,escalateLevel,contingenciesHappened,windSpilled,loadLost] ...
= escalateUC(params,state,dynamicUCParams,st... |
github | kittenish/Speech-Recognition-for-Words-master | fxpefac.m | .m | Speech-Recognition-for-Words-master/matlab/voicebox/fxpefac.m | 16,582 | utf_8 | bc97bb91f4c2005324552e77f6a6668b | function [fx,tx,pv,fv]=fxpefac(s,fs,tinc,m,pp)
%FXPEFAC PEFAC pitch tracker [FX,TT,PV,FV]=(S,FS,TINC,M,PP)
%
% Input: s(ns) Speech signal
% fs Sample frequency (Hz)
% tinc Time increment between frames (s) [0.01]
% or [start increment end]
% m ... |
github | kittenish/Speech-Recognition-for-Words-master | v_sigma.m | .m | Speech-Recognition-for-Words-master/matlab/voicebox/v_sigma.m | 10,372 | utf_8 | 2660ab5fa2b2eb9a54e841f242d824ae | function [gci goi] = v_sigma(lx,fs,fmax)
% Singularity in EGG by Multiscale Analysis (SIGMA) Algorithm
%
% [gci goi] = v_sigma(lx,fs,fmax)
%
% Inputs:
% lx Nx1 vector LX signal
% fs Sampling freq (Hz)
% fmax [Optional] max laryngeal freq
% Outputs:
% gci Vec... |
github | kittenish/Speech-Recognition-for-Words-master | psycestu.m | .m | Speech-Recognition-for-Words-master/matlab/voicebox/psycestu.m | 10,936 | utf_8 | 864b16b08219e343380f846193aa22bc | function [xx,ii,m,v]=psycestu(iq,x,r,xp)
% psycestu estimate unimodal psychometric function
%
% Usage: [xx,ii,m,v]=psycestu(-n,p,q,xp) % initialize n models
% [xx,ii,m,v]=psycestu(i,x,r) % supply a trial result to psycest
% psycestu(i) % plot pdf of model i
% [p,... |
github | kittenish/Speech-Recognition-for-Words-master | sphrharm.m | .m | Speech-Recognition-for-Words-master/matlab/voicebox/sphrharm.m | 18,816 | utf_8 | c1510059959b50ebebc03dfe7d2b90b0 | function [u,v,w]=sphrharm(m,a,b,c,d)
%SPHRHARM forward and inverse spherical harmonic transform
%
% Usage: (1) y=('f',n,x) % Calculate complex transform of spatial data x up to order n
%
% (2) y=('fr',n,x) % Calculate real transform of spatial data x(ne,na) up to order n
% ... |
github | kittenish/Speech-Recognition-for-Words-master | fxrapt.m | .m | Speech-Recognition-for-Words-master/matlab/voicebox/fxrapt.m | 16,903 | utf_8 | 8c4746cf17de25af53f01a7219128ea4 | function [fx,tt]=fxrapt(s,fs,mode)
%FXRAPT RAPT pitch tracker [FX,VUV]=(S,FS)
%
% Input: s(ns) Speech signal
% fs Sample frequency (Hz)
% mode 'g' will plot a graph [default if no output arguments]
% 'u' will include unvoiced fames (with fx=NaN)
%
% Out... |
github | kittenish/Speech-Recognition-for-Words-master | estnoisem.m | .m | Speech-Recognition-for-Words-master/matlab/voicebox/estnoisem.m | 16,236 | utf_8 | 1454a42a47931cb92f98e1cbec70147c | function [x,zo,xs]=estnoisem(yf,tz,pp)
%ESTNOISEM - estimate noise spectrum using minimum statistics
%
% Usage: ninc=round(0.016*fs); % frame increment [fs=sample frequency]
% ovf=2; % overlap factor
% f=rfft(enframe(s,hanning(ovf*ninc,'periodic'),ninc),ovf*ninc,2);
% ... |
github | jalayrac/instructionVideos-master | barwitherr.m | .m | instructionVideos-master/display_res/functions/barwitherr.m | 6,062 | utf_8 | 894962c3205f5ba925dd59c84274e516 | %**************************************************************************
%
% This is a simple extension of the bar plot to include error bars. It
% is called in exactly the same way as bar but with an extra input
% parameter "errors" passed first.
%
% Parameters:
% errors - the errors to be plotted (extra... |
github | kristinbranson/BABAM-master | ComputeBehaviorAnatomyMap_Logic.m | .m | BABAM-master/ComputeBehaviorAnatomyMap_Logic.m | 2,071 | utf_8 | 32de7b85cc8d07399502ae2e1650ccd0 | % res = ComputeBehaviorAnatomyMap_Logic(cmds,normbehaviordata_plus,normbehaviordata_minus,behaviorlabels,...)
% res = ComputeBehaviorAnatomyMap_Logic(cmds,datafile)
% res = ComputeBehaviorAnatomyMap_Logic(cmds)
function res = ComputeBehaviorAnatomyMap_Logic(cmds,normbehaviordata_plus,varargin)
res = [];
if ~iscell(cm... |
github | kristinbranson/BABAM-master | ExploreBehaviorAnatomyCorrelations.m | .m | BABAM-master/ExploreBehaviorAnatomyCorrelations.m | 125,152 | utf_8 | 6300b0f6c702164b595de9b7063ef33d | function varargout = ExploreBehaviorAnatomyCorrelations(varargin)
% EXPLOREBEHAVIORANATOMYCORRELATIONS MATLAB code for ExploreBehaviorAnatomyCorrelations.fig
% EXPLOREBEHAVIORANATOMYCORRELATIONS, by itself, creates a new EXPLOREBEHAVIORANATOMYCORRELATIONS or raises the existing
% singleton*.
%
% H = EXPL... |
github | kristinbranson/BABAM-master | colorspace.m | .m | BABAM-master/colorspace.m | 13,590 | utf_8 | b1a9eb973fa39950345a1df707b5d2c8 | function varargout = colorspace(Conversion,varargin)
%COLORSPACE Convert a color image between color representations.
% B = COLORSPACE(S,A) converts the color representation of image A
% where S is a string specifying the conversion. S tells the
% source and destination color spaces, S = 'dest<-src', or
% alt... |
github | kristinbranson/BABAM-master | createsubplots.m | .m | BABAM-master/createsubplots.m | 1,353 | utf_8 | e993c747da9f0e2cc14bbefb24f754c3 | % Usage:
% h = createsubplots(nrows,ncols,border)
% h = createsubplots(nrows,ncols,[borderx,bordery])
% h = createsubplots(nrows,ncols,[[sideborderx, middleborderx];[sidebordery, middlebordery]])
% h = createsubplots(...,[hfig]);
function h = createsubplots(n1,n2,border,hfig)
if nargin == 0,
error('usage: createsubp... |
github | kristinbranson/BABAM-master | colormap_image.m | .m | BABAM-master/colormap_image.m | 591 | utf_8 | 6d97a0e45bab4e2043ad69719ac46512 | % Irgb = colormap_image(I,c,clim)
function Irgb = colormap_image(I,c,clim)
if nargin < 2 || isempty(c),
c = colormap;
end
if nargin < 3 || isempty(clim),
clim = nan(1,2);
end
if ndims(I) < 2 || ndims(I) > 3,
error('input image must be N x M');
end;
if isnan(clim(1)),
a = min(I(:));
else
a = clim(1);
end
if ... |
github | kristinbranson/BABAM-master | fdr_bh.m | .m | BABAM-master/fdr_bh.m | 6,394 | utf_8 | 9088270c3e232ddc96b0e202921b22e0 | % fdr_bh() - Executes the Benjamini & Hochberg (1995) and the Benjamini &
% Yekutieli (2001) procedure for controlling the false discovery
% rate (FDR) of a family of hypothesis tests. FDR is the expected
% proportion of rejected hypotheses that are mistakenly rejected
% (i... |
github | kristinbranson/BABAM-master | RescaleToIndex.m | .m | BABAM-master/RescaleToIndex.m | 202 | utf_8 | 77dc5367cb572c5d4586a9b2357248f5 | % idx = RescaleToIndex(x,n,l,u)
function idx = RescaleToIndex(x,n,l,u)
if nargin < 3,
l = min(x(:));
end
if nargin < 4,
u = max(x(:));
end
r = u-l;
w = r/n;
idx = max(1,min(floor((x-l)/w)+1,n));
|
github | aldebaro/dsp-telecom-book-code-master | ak_window4gui.m | .m | dsp-telecom-book-code-master/Applications/FFTLeakagePicketFenceEffects/ak_window4gui.m | 12,904 | utf_8 | 47be52f5e9a7038509f35fdedcc16d95 | function varargout = ak_window4gui(varargin)
% AK_WINDOW4GUI MATLAB code for ak_window4gui.fig
% AK_WINDOW4GUI, by itself, creates a new AK_WINDOW4GUI or raises the existing
% singleton*.
%
% H = AK_WINDOW4GUI returns the handle to a new AK_WINDOW4GUI or the handle to
% the existing singleton*.
%
% ... |
github | aldebaro/dsp-telecom-book-code-master | read_complex_binary.m | .m | dsp-telecom-book-code-master/Applications/GSM_PHY_Analysis/read_complex_binary.m | 1,413 | utf_8 | 429518949058aceb21de94e6f882c28b | %
% Copyright 2001 Free Software Foundation, Inc.
%
% This file is part of GNU Radio
%
% GNU Radio is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2, or (at your option)
% any later ve... |
github | aldebaro/dsp-telecom-book-code-master | figs_fskapplication.m | .m | dsp-telecom-book-code-master/Applications/FSKSynchronous/figs_fskapplication.m | 6,224 | utf_8 | 023139a0e282bbe9a91c1a4d167be730 | function figs_fskapplication
%Generate figures for:
%Simple script for (binary) FSK with synchronous demodulation.
%The bit 0 is represented by f0 Hz and bit 1 by f1 Hz.
%%%%%%%%%%%%%%%%%%%
%Obtain the input bitstream inputBits
%%%%%%%%%%%%%%%%%%%
%use a binary image, with pixels represented by 0 or 1
inputIm... |
github | aldebaro/dsp-telecom-book-code-master | ak_testBlockCodingRateDistortionCurve.m | .m | dsp-telecom-book-code-master/Applications/ECGTransformCoding/ak_testBlockCodingRateDistortionCurve.m | 2,324 | utf_8 | d8aa6d42e7837659f863519ca4be0b29 | %simple function to provide example of building a rate distortion curve
function [h,signalPower]=ak_testBlockCodingRateDistortionCurve(M)
%M= is the transform dimension
%build a linear transform. Note: the columns of A are the basis
%functions. I will choose functions that are smooth and others "nervous"
if 1 %cho... |
github | aldebaro/dsp-telecom-book-code-master | figs_digicomm_isi.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_digicomm_isi.m | 3,824 | utf_8 | e4caccfccc0934ed855ecce0f7a0102a | function figs_digicomm_isi
clf
h=fir1(10,0.8);
epsName = 'compensatingFIRChannel';
exampleOfISI(h, 1, epsName)
[B,A]=butter(5,0.8);
epsName = 'compensatingButterworthChannel';
exampleOfISI(B, A, epsName)
exampleOfISIForSimpleFilter;
matchedFilterWithISI
h=[0.3 -0.4 0.5 0.8 0.5 -0.4 0.3];
epsName='g... |
github | aldebaro/dsp-telecom-book-code-master | figs_systems_roundoffErrors.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_systems_roundoffErrors.m | 2,453 | utf_8 | 53a77c3f13da3a33739c3ac3c7418cd1 | function [yq_my, y_my, y_matlab]=figs_systems_roundoffErrors
% function [yq_my, y_my, y_matlab]=figs_systems_roundoffErrors
randn('seed',0); %reset seed of randn
N=30; %number of samples
x=7*randn(1,N); %generate N random samples
y=zeros(size(x)); %pre-allocate space for output
M=4; %filter order
[B,A]=butter(M,... |
github | aldebaro/dsp-telecom-book-code-master | figs_transforms_dtfs_pulse.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_transforms_dtfs_pulse.m | 1,976 | utf_8 | 4e3fe0019584a179c59f1cc6d73fc351 | function figs_transforms_dtfs_pulse
close all
N=20; N1=10; %is the period and N1 the duty cicle
plotPulseDTFSWithPhase(N, N1);
writeEPS('dtfs_pulse','font12Only');
N=20; N1=1; %is the period and N1 the duty cicle
plotPulseDTFS(N, N1);
writeEPS('dtfs_pulse_duty_1','font12Only');
N=20; N1=2; %is the period ... |
github | aldebaro/dsp-telecom-book-code-master | figs_transforms_dft.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_transforms_dft.m | 5,785 | utf_8 | 9ec03682b2ec16a95695713fe6e09d97 | function figs_transforms_dft
%using orthonormal DFT
clf
N=32;
[Ah,A]=ak_fftmtx(N,2); %DTFS as in fft/N
n=0:N-1; k=n; %define k to make more clear when it is k and when it is n
x1=10*cos(2*pi*0/32*n); %first signal: DC
X1=Ah*transpose(x1);
subplot(521); stem(n,x1); ylabel('x_0[n]'); axis([0 31 0 11]);
subplot... |
github | aldebaro/dsp-telecom-book-code-master | figs_app_plot_qvalues.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_app_plot_qvalues.m | 728 | utf_8 | 186abb4005f96b5161fa6b52106f7f12 | function figs_app_plot_qvalues
% show Q values
clf
onePlot(-10, 0, 1, 0);
title('Very low SNR Q-function values');
writeEPS('qfunc_verylowsnr');
onePlot(0, 10, 1, 1);
title('Low SNR Q-function values');
writeEPS('qfunc_lowsnr');
onePlot(10, 20, 1, 1);
title('High SNR Q-function values');
writeEPS('qfunc_... |
github | aldebaro/dsp-telecom-book-code-master | figs_systems_system_identification.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_systems_system_identification.m | 2,583 | utf_8 | cca19e86896613ae01e6f13905c6b6fa | function figs_systems_system_identification()
clear all
rand('seed',0); randn('seed',52); %52 was found after trial and error, do not mess up
%% Option with preamble of 63 training samples and SNR=20 dB
inputLengthLog2=6;
inputSequenceChoice=3;
SNRdB = 20;
plot_3_estimates(inputLengthLog2,inputSequenceChoice,SNR... |
github | aldebaro/dsp-telecom-book-code-master | figs_digicomm_regeneration.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_digicomm_regeneration.m | 1,328 | utf_8 | 78496eccf0f99ebaeb13810d931c3bcb | function figs_digicomm_regeneration
clear all; clf
rand('state',0); %reset the seed to reproduce sequences
RSRdB=3; %RSR = 3 dB
plotForGivenSNR(RSRdB,'regeneration_snr_plus3')
RSRdB=-3; %RSR = -3 dB
plotForGivenSNR(RSRdB,'regeneration_snr_minus3')
return %properly finish the main function (not a mistake here)
... |
github | aldebaro/dsp-telecom-book-code-master | figs_signals_correlationcoeff.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_signals_correlationcoeff.m | 1,461 | utf_8 | 77b5715281aa82dac6a21f573f33b9d8 | function figs_signals_correlationcoeff
clf
randn('seed',1);
subplot(311)
%generate N two-dimensional Gaussian vectors
C=[4 0;0 1]; %covariance matrix
mu=[30 6]; %mean
plotOneGaussian(mu,C);
text(23,8,'product A')
%legend('product A')
subplot(312)
C=[4 0.99;0.99 1]; %covariance matrix
mu=[30 12]; %mean
... |
github | aldebaro/dsp-telecom-book-code-master | figs_synchronism_carrier_recovery.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_synchronism_carrier_recovery.m | 5,356 | utf_8 | e912aef39742ba36eb4d19aca924d8c8 | function figs_synchronism_carrier_recovery()
% Repeatedly invokes part of script ex_fftBasedQAMCarrierRecovery.m
% to plot a figure.
N=6; %number of points to be calculated minus 3
zz=linspace(-pi/4,pi/4-(1e-2),N); %range [-pi/4, pi/4[
zz=sort([zz -1e-2 1e-2 0]); %add points close to singularity at zero
N=N+3; %u... |
github | aldebaro/dsp-telecom-book-code-master | figs_digicomm_awgnReceiver.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_digicomm_awgnReceiver.m | 8,220 | utf_8 | 3cb32d3ad9ca23d8680d3971539d1e71 | function figs_digicomm_awgnReceiver %use as function to allow subfunction
clear all
close all
randn('state',0); rand('state',0); %reset both generators
numberOfBytes=200;
oversample = 8; %number of samples per symbol
M=4; %modulation order (number of symbols)
N=40; %number of SNR grid
noisePowers=logspace(-2,... |
github | aldebaro/dsp-telecom-book-code-master | figs_channel_isi.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_channel_isi.m | 3,234 | utf_8 | 856fcbfe3a8cce76889b7f2fde09cf4b | function figs_channel_isi
clear all
close all
symbols=[3 -3 -3 3 1 -1]; %PAM symbols
L=100; %oversampling factor, an even number, large to mimic continuous-time
delay = 7; %group delay in symbols (# of samples is delay*L)
N0 = delay*L+1; %cursor: sample to start obtaining the symbols
%% First case: pulse
p=[zer... |
github | aldebaro/dsp-telecom-book-code-master | figs_digicomm_isi2.m | .m | dsp-telecom-book-code-master/MatlabBookFigures/figs_digicomm_isi2.m | 2,478 | utf_8 | 0ed47e5e0c0b5682e9e5f0f74d61ae40 | function figs_digicomm_isi2
clf
symbols=[3 -1 3 1]; %symbols used for all plots
%First pulse
N0 = 1; %sample to start obtaining the symbols
p=[1 1 1 1]; %shaping pulse
L=4; %oversampling factor
ak_plotNyquistPulse(p,L) %graphs in frequency domain
writeEPS('pulse1_spectrum');
[isi,signalParcels] = ak_calculat... |
github | aldebaro/dsp-telecom-book-code-master | testfixed.m | .m | dsp-telecom-book-code-master/OctaveOnly/testfixed.m | 1,661 | utf_8 | 32966fc6ae25e9ae8a40e6222b1f23b4 | function [y_cq_iq_pq, y_my, y_matlab]=testfixed
% function [y_cq_iq_pq, y_my, y_matlab]=testfixed
randn('seed',0); %reset seed of randn
N=100; %number of samples
x=randn(1,N); %generate N random samples
y=zeros(size(x)); %pre-allocate space for output
M=4; %filter order
[B,A]=butter(M,0.3); %design IIR filter
i... |
github | aldebaro/dsp-telecom-book-code-master | arrow.m | .m | dsp-telecom-book-code-master/MatlabOnlyThirdPartyFunctions/arrow.m | 59,729 | utf_8 | 986bc32a934bac3ea5df6d9888832784 | function [h,yy,zz] = arrow(varargin)
%Modified by AK on 2021 Jan, according to:
%https://www.mathworks.com/matlabcentral/fileexchange/278-arrow
% ARROW Draw a line with an arrowhead.
%
% ARROW(Start,Stop) draws a line with an arrow from Start to Stop (points
% should be vectors of length 2 or 3, or matrices wi... |
github | aldebaro/dsp-telecom-book-code-master | exportfig.m | .m | dsp-telecom-book-code-master/MatlabOnlyThirdPartyFunctions/exportfig.m | 15,495 | utf_8 | a5eac254c0f3a77d3e571e7315b0858c | function exportfig(varargin)
%EXPORTFIG Export a figure to Encapsulated Postscript.
% EXPORTFIG(H, FILENAME) writes the figure H to FILENAME. H is
% a figure handle and FILENAME is a string that specifies the
% name of the output file.
%
% EXPORTFIG(...,PARAM1,VAL1,PARAM2,VAL2,...) specifies
% parame... |
github | aldebaro/dsp-telecom-book-code-master | dctCompressionExample_v5.m | .m | dsp-telecom-book-code-master/MatlabOnlyThirdPartyFunctions/dctCompressionExample_v5.m | 4,524 | utf_8 | 213ca1c9aa336c25f40cf8f024456ef8 | % Example app for http://blogs.mathworks.com/steve
%
% Steve Eddins
% Copyright 2013 The MathWorks, Inc.
classdef dctCompressionExample_v5 < handle
properties (SetAccess = private)
OriginalImage
ReconstructedImage
ErrorImage
DCTCoefficientMask
end
pro... |
github | aldebaro/dsp-telecom-book-code-master | pdftops.m | .m | dsp-telecom-book-code-master/MatlabOnlyThirdPartyFunctions/exportfig/pdftops.m | 3,260 | utf_8 | 1546a66ebea7d7bf2617cc345690bf62 | 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 | aldebaro/dsp-telecom-book-code-master | pdf2eps.m | .m | dsp-telecom-book-code-master/MatlabOnlyThirdPartyFunctions/exportfig/pdf2eps.m | 1,673 | utf_8 | 32d601934f608dcc6d7b4b902e4f6de8 | %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 | aldebaro/dsp-telecom-book-code-master | print2array.m | .m | dsp-telecom-book-code-master/MatlabOnlyThirdPartyFunctions/exportfig/print2array.m | 3,492 | utf_8 | cb0267850dc848cc635efc474a52e5d8 | %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)
%
% This function outputs a bitmap image of the given figure, at the desired
% resolution... |
github | aldebaro/dsp-telecom-book-code-master | change_value.m | .m | dsp-telecom-book-code-master/MatlabOnlyThirdPartyFunctions/exportfig/change_value.m | 1,904 | utf_8 | 6d0d132aed5e02b251b9c3c35f9b75fd | %CHANGE_VALUE Change the value assigned to a unique variable in a file
%
% Examples:
% fail = change_value(value)
% fail = change_value(value, variableName)
% fail = change_value(value, variableName, filePath)
%
% Function to change the value assigned to a variable in a text file. The
% assignment must exist alr... |
github | aldebaro/dsp-telecom-book-code-master | eps2pdf.m | .m | dsp-telecom-book-code-master/MatlabOnlyThirdPartyFunctions/exportfig/eps2pdf.m | 4,075 | utf_8 | 3d1da96cebe971a0a67ababca7cfec66 | %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 | aldebaro/dsp-telecom-book-code-master | export_fig.m | .m | dsp-telecom-book-code-master/MatlabOnlyThirdPartyFunctions/exportfig/export_fig.m | 26,593 | utf_8 | 2350ff7502e249ea1347b5ec425f9ad5 | %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 ... -native
% export_fig ... -m<val>
% export_fig ... -r<val>
% export_fig ... ... |
github | aldebaro/dsp-telecom-book-code-master | ghostscript.m | .m | dsp-telecom-book-code-master/MatlabOnlyThirdPartyFunctions/exportfig/ghostscript.m | 3,671 | utf_8 | f025d6d210dc48067b0482e9bdab6d79 | function varargout = ghostscript(cmd)
%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... |
github | aldebaro/dsp-telecom-book-code-master | print2eps.m | .m | dsp-telecom-book-code-master/MatlabOnlyThirdPartyFunctions/exportfig/print2eps.m | 1,846 | utf_8 | b35c00359f5f3745c0ab843d7ed7e269 | %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, and improves the line style,
% making dashed lines more like those on screen and givi... |
github | aldebaro/dsp-telecom-book-code-master | snip_frequency_fftCosineExample.m | .m | dsp-telecom-book-code-master/MatlabOctaveCodeSnippets/snip_frequency_fftCosineExample.m | 1,154 | utf_8 | 9cf6cc716c0de166ccaf090aba80838d | function snip_frequency_fftCosineExample()
clf, N=32; A=6; %clear figure, FFT length, cosine amplitude
M=1000; %number of sample points imposing the DTFT resolution
alpha=8.3; %specifies the cosine frequency
Wc=(alpha*2*pi)/N; %cosine frequency in radians
W=linspace(0,2*pi,M); %frequency range
Xw=zeros(1,M); %DTF... |
github | aldebaro/dsp-telecom-book-code-master | snip_frequency_testHannDTFT.m | .m | dsp-telecom-book-code-master/MatlabOctaveCodeSnippets/snip_frequency_testHannDTFT.m | 451 | utf_8 | 17cb506acd2d079a3ef86c0640a045d6 | function snip_frequency_testHannDTFT
N=9; %number of window samples
[dtftHann,w]=freqz(hann(N)); %get values of the DTFT as reference
dtftHann2=0.5*rectWinDTFT(w,N)- 0.25*rectWinDTFT(w+(2*pi/(N-1)),N)...
-0.25*rectWinDTFT(w-(2*pi/(N-1)),N); %DTFT using expression
plot(w,real(dtftHann-dtftHann2),w,imag(dtftHann-dtft... |
github | aldebaro/dsp-telecom-book-code-master | octave_discrete_pdf.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_discrete_pdf.m | 1,889 | utf_8 | d27c273e0aa11d797be6b8629ae431bd | % Copyright (C) 1996, 1997, 1998, 2000, 2002, 2004, 2005, 2006, 2007
% Kurt Hornik
%
% This file is part of Octave.
%
% Octave is free software; you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 3 of ... |
github | aldebaro/dsp-telecom-book-code-master | octave_normcdf.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_normcdf.m | 2,033 | utf_8 | 33f0220f4099374be8072bbc539a501f | % Copyright (C) 1995, 1996, 1997, 2005, 2006, 2007 Kurt Hornik
%
% This file is part of Octave.
%
% Octave is free software; you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 3 of the License, or (at
% your option)... |
github | aldebaro/dsp-telecom-book-code-master | octave_stdnormal_pdf.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_stdnormal_pdf.m | 1,372 | utf_8 | 013dcbed10b1ef82a8dd459f3ba74750 | % Copyright (C) 1995, 1996, 1997, 1998, 2000, 2002, 2004, 2005, 2006,
% 2007 Kurt Hornik
%
% This file is part of Octave.
%
% Octave is free software; you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version... |
github | aldebaro/dsp-telecom-book-code-master | octave_mvnrnd.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_mvnrnd.m | 3,715 | utf_8 | 4c3f5a480fcc8627e649e730af64db94 | % Copyright (C) 2003 Iain Murray
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in th... |
github | aldebaro/dsp-telecom-book-code-master | octave_normrnd.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_normrnd.m | 2,912 | utf_8 | 9ee106564256bf359279db00c2c8b367 | % Copyright (C) 1995, 1996, 1997, 2005, 2006, 2007 Kurt Hornik
%
% This file is part of Octave.
%
% Octave is free software; you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 3 of the License, or (at
% your option)... |
github | aldebaro/dsp-telecom-book-code-master | octave_unidpdf.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_unidpdf.m | 1,197 | utf_8 | 9e854f700ade6f3fe57a2c0adca6b9fa | % Copyright (C) 2007 David Bateman
%
% This file is part of Octave.
%
% Octave is free software; you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 3 of the License, or (at
% your option) any later version.
%
% Octa... |
github | aldebaro/dsp-telecom-book-code-master | octave_dct2.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_dct2.m | 1,269 | utf_8 | 3eb4cb32f308600a79ccd4dfa84c46b0 | % Copyright (C) 2001 Paul Kienzle
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in t... |
github | aldebaro/dsp-telecom-book-code-master | octave_unifpdf.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_unifpdf.m | 1,697 | utf_8 | e017f21576413b34b0dcaf9351cff1ab | % Copyright (C) 1995, 1996, 1997, 2005, 2006, 2007 Kurt Hornik
%
% This file is part of Octave.
%
% Octave is free software; you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 3 of the License, or (at
% your option)... |
github | aldebaro/dsp-telecom-book-code-master | line_fewer_markers.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/line_fewer_markers.m | 11,384 | utf_8 | 659d6d20375d9bce98bba3352cf1ad58 | % line_fewer_markers - line with controlled amount of markers and correct legend behaviour
%
% LINE_FEWER_MARKERS(X,Y,NUM_MARKERS) adds the line in vectors X and Y to the current axes
% with exactly NUM_MARKERS markers drawn.
%
% LINE_FEWER_MARKERS(X,Y,NUM_MARKERS,'PropertyName',PropertyValue,...) plots th... |
github | aldebaro/dsp-telecom-book-code-master | octave_stdnormal_cdf.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_stdnormal_cdf.m | 1,285 | utf_8 | bc8f0910ea6891d3d92c68e4623ecb50 | % Copyright (C) 1995, 1996, 1997, 1998, 2000, 2002, 2004, 2005, 2006,
% 2007 Kurt Hornik
%
% This file is part of Octave.
%
% Octave is free software; you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version... |
github | aldebaro/dsp-telecom-book-code-master | octave_dctmtx.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_dctmtx.m | 1,598 | utf_8 | 93cc562b28ec7fc32fc41bce422b855d | %Copyright (C) 2001 Paul Kienzle
%
%This program is free software; you can redistribute it and/or modify
%it under the terms of the GNU General Public License as published by
%the Free Software Foundation; either version 2 of the License, or
%(at your option) any later version.
%
%This program is distributed in the hop... |
github | aldebaro/dsp-telecom-book-code-master | octave_idct2.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_idct2.m | 1,297 | utf_8 | decd682c0b61ecc66a90b41e568f43a7 | % Copyright (C) 2001 Paul Kienzle
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in t... |
github | aldebaro/dsp-telecom-book-code-master | octave_normpdf.m | .m | dsp-telecom-book-code-master/MatlabOctaveThirdPartyFunctions/octave_normpdf.m | 2,075 | utf_8 | 2e725369bc97bbeb2a5ba14616f084b6 | % Copyright (C) 1995, 1996, 1997, 2005, 2006, 2007 Kurt Hornik
%
% This file is part of Octave.
%
% Octave is free software; you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 3 of the License, or (at
% your option)... |
github | aldebaro/dsp-telecom-book-code-master | ak_showQfactors.m | .m | dsp-telecom-book-code-master/MatlabOctaveFunctions/ak_showQfactors.m | 1,072 | utf_8 | 432373b01d8920fc437000a73b7eb0d6 | function ak_showQfactors
N=6; %order of filter
Wc=100; %cutoff frequency
disp('- Butterworth filter:');
[z,p,k]=butter(N,Wc,'s'); %design Butterworth
calculateQfactors(p) %calculate and display Q-factors
disp('- Chebyshev 1 filter:');
Rp=1; %maximum ripple at passband
[z,p,k]=cheby1(N,Rp,Wc,'s'); %design Chebys... |
github | aldebaro/dsp-telecom-book-code-master | ak_drawvector_new.m | .m | dsp-telecom-book-code-master/MatlabOctaveFunctions/ak_drawvector_new.m | 4,342 | utf_8 | 859c62fec23565b1bea8ebbee533bce8 | %AK, Jan 2016:
%could not make this function work, because when I expand axis,
%the previous vectors are modified wrongly.
function [ann_handle,figx,figy,orix,oriy]=ak_drawvector(x1,y1,xo,yo)
%function [ann_handle,figx,figy,orix,oriy]=ak_drawvector(x1,y1,xo,yo)
%Draws an arrow. Examples (all are equivalent for dra... |
github | aldebaro/dsp-telecom-book-code-master | ak_find3dBBandwidth.m | .m | dsp-telecom-book-code-master/MatlabOctaveFunctions/ak_find3dBBandwidth.m | 558 | utf_8 | 550793490b85ee92cb4eae044ce05910 | function bw_indices=ak_find3dBBandwidth(psddB, tolerance)
% function bw_indices=ak_find3dBBandwidth(psddB,tolerance)
if nargin == 1
tolerance = eps
end
reference = max(psddB) - 3.0103;
%we would like to use
%bw_indices = find(psddB == reference);
%but the exact value may not be part of psd_dB, so
bw_ind... |
github | aldebaro/dsp-telecom-book-code-master | ak_map_z_into_s.m | .m | dsp-telecom-book-code-master/MatlabOctaveFunctions/ak_map_z_into_s.m | 1,169 | utf_8 | 2c069430d2e75bd9244879e5591b12fb | function s_plane_points=ak_map_z_into_s(z_plane_points,Fs)
z_plane_points = transpose(z_plane_points(:)); %make it a row vector
N=length(z_plane_points);
s_plane_points = zeros(1,N);
for i=1:N
%for each z find corresponding s using bilinear transformation
%use bilinear transformation
s_plane_points(i)=(2*Fs... |
github | aldebaro/dsp-telecom-book-code-master | ak_map_s_into_z.m | .m | dsp-telecom-book-code-master/MatlabOctaveFunctions/ak_map_s_into_z.m | 1,146 | utf_8 | d1d0ef88411b1cda379859b2b8c68ea6 | function z_plane_points=ak_map_s_into_z(s_plane_points,Fs)
s_plane_points = transpose(s_plane_points(:)); %make it a row vector
N=length(s_plane_points);
z_plane_points = zeros(1,N);
Ts=1/Fs;
for i=1:N
%for each s find corresponding z using bilinear transformation
z_plane_points(i)=((2+Ts*s_plane_points(i)))./(... |
github | aldebaro/dsp-telecom-book-code-master | ak_drawvector.m | .m | dsp-telecom-book-code-master/MatlabOctaveFunctions/ak_drawvector.m | 4,425 | utf_8 | 2d78e05f8f53092aeee017f32f653719 | function [ann_handle,figx,figy,orix,oriy]=ak_drawvector(x1,y1,xo,yo)
%function [ann_handle,figx,figy,orix,oriy]=ak_drawvector(x1,y1,xo,yo)
%Draws an arrow. Examples (all are equivalent for drawing a vector
%from point (0,0) to (2,1):
%ak_drawvector(2+j)
%ak_drawvector(2,1)
%ak_drawvector([2,1])
%ak_drawvector([2... |
github | aldebaro/dsp-telecom-book-code-master | ak_plotNyquistPulse.m | .m | dsp-telecom-book-code-master/MatlabOctaveFunctions/ak_plotNyquistPulse.m | 1,660 | utf_8 | 616b7054925b45813f2c8be052caf8da | function ak_plotNyquistPulse(p,L)
% function ak_plotNyquistPulse(p,L)
%Inputs: p is the pulse (typically a zero ISI pulse)
% L is the oversampling factor
clf
N=2^16; %number of FFT points. Use large to approximate...
P=fft(p,N); %the DTFT using the FFT
dw=2*pi/N; %frequency interval em rads
w=0:dw:2*pi... |
github | deepanprabhu/deep-belief-networks-master | process_options.m | .m | deep-belief-networks-master/RBM/process_options.m | 3,819 | utf_8 | 66887446ed8232aa6191418602f9ade5 | %% Process named arguments to a function
%
% This allows you to pass in arguments using name, value pairs
% eg func(x, y, 'u', 0, 'v', 1)
% Or you can pass in a struct with named fields
% eg S.u = 0; S.v = 1; func(x, y, S)
%
% Usage: [var1, var2, ..., varn[, unused]] = ...
% process_options(args, ...
% ... |
github | jussitohka/general_matlab-master | gaussian3dfil_roi.m | .m | general_matlab-master/gaussian3dfil_roi.m | 1,880 | utf_8 | e4efa3aef90916c4959ba53baed3ab8c | % Performs Gaussian 3D filtering, limited by a ROI (or VOI)
% returns filtered values only in the volume specified by the ROI
% (C) Jussi Tohka
% Department of Signal Processing,
% Tampere University of Technology, Finland
% The method is described in
% J. Tohka. Volume of interest (VOI) limited linear filtering.
% h... |
github | jussitohka/general_matlab-master | nihpd_bs_ci_mae.m | .m | general_matlab-master/nihpd_bs_ci_mae.m | 1,307 | utf_8 | dae64405643dec134ade37cd21cd64ab | % (C) Jussi Tohka
% University of Eastern Finland, Finland
% jussi.tohka@uef.fi
% To compute confidence intervals based on bootstrap in the repeated
% cross-validation setting
% yhat is n x r matrix of predicted values, where n is the number os
% subjects and r is the number of CV runs
% y (n x 1) is the vector... |
github | jussitohka/general_matlab-master | balanced_crossval.m | .m | general_matlab-master/balanced_crossval.m | 3,299 | utf_8 | 4c3985f2532008f386cdfd53a52dcb6a | % Generating balanced cross validation folds for regression
% (C) Jussi Tohka 2014 - 2016
% Tampere University of Technology, Finland (2014 - 2015)
% Universidad Carlos III de Madrid, Spain (2015 - 2016)
% --------------------------------------------------------------
% Permission to use, copy, modify, and distribute t... |
github | jussitohka/general_matlab-master | nihpd_permutation_test.m | .m | general_matlab-master/nihpd_permutation_test.m | 1,249 | utf_8 | c2b832463ce223ba07448b9326a03570 | % (C) Jussi Tohka
% University of Eastern Finland, Finland
% jussi.tohka@uef.fi
% Described in
% J.D. Lewis, A.C- Evans, J. Tohka . T1 white/gray contrast as a predictor
% of chronological age, and an index of cognitive performance. NeuroImage, 2018
function p = nihpd_permutation_test(yhat,yhat2,y,nboot)
% yhat... |
github | Schwartz-AlaLaurila-Labs/sa-labs-extension-master | generateShapeStimulus.m | .m | sa-labs-extension-master/src/main/matlab/+sa_labs/+util/+shape/generateShapeStimulus.m | 14,780 | utf_8 | b8874c0abe8e797492ad143b81243623 | function runConfig = generateShapeStimulus(p, analysisData)
runConfig = struct();
runConfig.autoContinueRun = false;
% select the type of epoch to run based on params & results
if strcmp(p.mode, 'temporalAlignment')
runConfig = generateTemporalAlignment(p, runConfig);
elseif ... |
github | Schwartz-AlaLaurila-Labs/sa-labs-extension-master | simulateSpikeTrain.m | .m | sa-labs-extension-master/src/main/matlab/+sa_labs/+util/+shape/simulateSpikeTrain.m | 2,217 | utf_8 | ccd5c203754cab6eb2b8928029c16ce7 | function spikes = simulateSpikeTrain(sd)
% shapeDataMatrix
% shapeDataColumns
center = [0,0];
width = 70;
baseFiringRate = 200; % Hz
baseDiameter = 30;
col_x = sd.shapeDataColumns('X');
col_y = sd.shapeDataColumns('Y');
col_intensity = sd.shapeDataColumns('intensity');
col_startTime = sd.shapeDataColumns('startTime'... |
github | Schwartz-AlaLaurila-Labs/sa-labs-extension-master | BackgroundControl.m | .m | sa-labs-extension-master/src/main/matlab/+sa_labs/+modules/BackgroundControl.m | 3,626 | utf_8 | 7c7b2532777b47acf8c000db2f62b7db | classdef BackgroundControl < symphonyui.ui.Module
properties (Access = private)
devices
deviceListeners
deviceGrid
end
methods
function createUi(obj, figureHandle)
import appbox.*;
set(figureHandle, ...
'... |
github | sh01k/WFRfilter-master | sph_harm_mat.m | .m | WFRfilter-master/lib/sph_harm_mat.m | 839 | utf_8 | 87e6fa53bfced963c7a0a9550198ef31 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% (c) Shoichi Koyama 2015.07.31
% Generate matrix of spherical harmonic functions
% USAGE "sph_harm_mat(Nmax,theta,phi)"
% INPUT
% Nmax Maximum order
% theta Zenith angle
% phi Azimuth angle
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
github | sh01k/WFRfilter-master | green3d.m | .m | WFRfilter-master/lib/green3d.m | 537 | utf_8 | ad901ef47b20baa27627b53908027ee9 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% (c) Shoichi Koyama (koyama.shoichi@ieee.org) 2016.09.01
%
% 3D free-field Green's function
% USAGE "green3d(xr,yr,zr,xs,ys,zs,k)"
% INPUT
% xr, yr, zr Reference positions
% xs, ys, zs Source positions
% k Wave number
%%... |
github | sh01k/WFRfilter-master | sph_besselh.m | .m | WFRfilter-master/lib/sph_besselh.m | 276 | utf_8 | 40f29a156f9096a6ed04d1065097a8a4 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% (c) Shoichi Koyama (koyama.shoichi@ieee.org) 2016.09.02
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Z] = sph_besselh(N,K,X)
Z = sqrt(pi/(2*X)).*besselh(N+0.5,K,X);
end |
github | sh01k/WFRfilter-master | sph_besselj_diff.m | .m | WFRfilter-master/lib/sph_besselj_diff.m | 303 | utf_8 | afd7fbead50dab22aed3942aaf57e216 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% (c) Shoichi Koyama (koyama.shoichi@ieee.org) 2016.09.02
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Z] = sph_besselj_diff(N,X)
Z = (N.*sph_besselj(N-1,X)-(N+1).*sph_besselj(N+1,X))./(2*N+1);
end |
github | sh01k/WFRfilter-master | fig_dist.m | .m | WFRfilter-master/lib/fig_dist.m | 1,258 | utf_8 | 009b245c42e90b10f2a93bdf324f0165 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% (c) Shoichi Koyama (koyama.shoichi@ieee.org) 2016.09.01
%
% Draw pressure distribution
% USAGE "fig_dist(h,pos,X,Y,D,prm,plt_x,plt_y)"
% INPUT
% h Figure handler
% pos Figure position
% X, Y Grid on x and y axes
% ... |
github | sh01k/WFRfilter-master | sph_besselh_diff.m | .m | WFRfilter-master/lib/sph_besselh_diff.m | 309 | utf_8 | f565b97d667a43102464dbcb5df235d3 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% (c) Shoichi Koyama (koyama.shoichi@ieee.org) 2016.09.02
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Z] = sph_besselh_diff(N,K,X)
Z = (N.*sph_besselh(N-1,K,X)-(N+1).*sph_besselh(N+1,K,X))./(2*N+1);
end |
github | sh01k/WFRfilter-master | sph_besselj.m | .m | WFRfilter-master/lib/sph_besselj.m | 272 | utf_8 | 1720ebc0f4713af9b1b88663db17ef6b | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% (c) Shoichi Koyama (koyama.shoichi@ieee.org) 2016.09.02
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Z] = sph_besselj(N,X)
Z = sqrt(pi/(2*X)).*besselj(N+0.5,X);
end |
github | sh01k/WFRfilter-master | fig_contour.m | .m | WFRfilter-master/lib/fig_contour.m | 1,335 | utf_8 | 018cc676a202b7a5f0a2fba183197197 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% (c) Shoichi Koyama (koyama.shoichi@ieee.org) 2016.09.01
%
% Draw pressure distribution
% USAGE "fig_dist(h,X,Y,D,prm,plt_x,plt_y)"
% INPUT
% h Figure handler
% pos Figure position
% X, Y Grid on x and y axes
% D ... |
github | C2SM-RCM/lagranto.ecmwf-master | plot_trajectory.m | .m | lagranto.ecmwf-master/figure/matlab/plot_trajectory.m | 7,907 | utf_8 | c436a10dda1d9d6d1dc6368537374d7e | % ----------------------------------------------------------------------
% Plotting of a set of trajectory, coloring with additional field
% ----------------------------------------------------------------------
function plot = plot_trajectory (tra,varargin)
% Set plotting mode
mode=3;
% Handle the input arguments
i... |
github | C2SM-RCM/lagranto.ecmwf-master | col_scale.m | .m | lagranto.ecmwf-master/figure/matlab/col_scale.m | 778 | utf_8 | 6a46cad96e57c00be9dd5f3dcb47178d |
function c_map = col_scale (dat_values,d_map);
% Handling of irregularly spaced color tables
% Init the label strings and output values
for i=1:length(dat_values)
c_map.label(i) = cellstr(num2str(dat_values(i)));
end
c_map.values=dat_values;
c_map.xtick=linspace(0,1,length(dat_values));
c_map.caxis=[ min(c_map.... |
github | C2SM-RCM/lagranto.ecmwf-master | read_trajectory.m | .m | lagranto.ecmwf-master/figure/matlab/read_trajectory.m | 1,856 | utf_8 | 4e43348443da41cbdb9892984f782b5e | % ----------------------------------------------------------------------
% Read a trajectory file
% ----------------------------------------------------------------------
function out = read_trajectory(filename);
% Open the trajectory file
fid = fopen(filename,'r')
% Read the info line (tra.info)
line = textscan... |
github | matthewbrawley/SeizurePredictionTeam1-master | step1_generate_features.m | .m | SeizurePredictionTeam1-master/Product_EpiSure/Matlab/step1_generate_features.m | 3,959 | utf_8 | e2168343229cb4a6efb6a1fc70da20ab | function step1_generate_features(subjectNames,segmentTypes,options)
% step1_GENERATE_FEATURES genearates a set of features that will be
% compared against a trained LASSO GLM model.
%
% Input:
% subjectNames:
% Patient to look at (cell strings). e.g. {'test_3'}
% segmentTypes:
% ... |
github | matthewbrawley/SeizurePredictionTeam1-master | step1_generate_features.m | .m | SeizurePredictionTeam1-master/Development/Matlab/step1_generate_features.m | 6,819 | utf_8 | fe4efd1f7992c97684a94e519acaac3f | function step1_generate_features(subjectNames,segmentTypes,options)
%STEP1_GENERATE_FEATURES genearates a set of features that will be
% later on used to train a LASSO GLM model.
%
% Input:
% subjectNames:
% Patient to look at (cell strings). e.g. {'train_1'}
% segmentTypes:
% ... |
github | bushuhui/SequenceSFM-master | klt_read_featuretable.m | .m | SequenceSFM-master/Thirdparty/klt-1.3.4/matlab/klt_read_featuretable.m | 3,265 | utf_8 | a08ca3a4685471ab940f8c399f7cccf2 | % KLT_READ_FEATURE_TABLE Read a feature table written by KLTWriteFeatureTable.
%
% [X, Y, VAL] = KLT_READ_FEATURE_TABLE(FILENAME) reads the feature table
% in FILENAME into the two-dimensional arrays X, Y, and VAL. The
% dimensions of X, Y, and VAL are M by N, where M is the number of
% features and... |
github | bushuhui/SequenceSFM-master | colamd_test.m | .m | SequenceSFM-master/Thirdparty/SSBA-3.0/COLAMD/MATLAB/colamd_test.m | 11,737 | utf_8 | 1bbab37469571534db129da1e1531e5b | function colamd_test
%COLAMD_TEST test colamd2 and symamd2
% Example:
% colamd_test
%
% COLAMD and SYMAMD testing function. Here we try to give colamd2 and symamd2
% every possible type of matrix and erroneous input that they may encounter.
% We want either a valid permutation returned or we want them to fail
% gra... |
github | Open-UAV/Firmware-master | ellipsoid_fit.m | .m | Firmware-master/Tools/Matlab/ellipsoid_fit.m | 6,102 | utf_8 | b8fff7152313707a347ab528f7fbce9b | % Copyright (c) 2009, Yury Petrov
% All rights reserved.
%
% Redistribution and use in source and binary forms, with or without
% modification, are permitted provided that the following conditions are
% met:
%
% * Redistributions of source code must retain the above copyright
% notice, this list of conditions... |
github | baiyancheng20/lightcaffe-master | classification_demo.m | .m | lightcaffe-master/caffe-fast-rcnn/matlab/demo/classification_demo.m | 5,412 | utf_8 | 8f46deabe6cde287c4759f3bc8b7f819 | 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 | qw245/BlindFuse-master | idHSsub.m | .m | BlindFuse-master/idHSsub.m | 1,696 | utf_8 | 661ba86bc0e3e89810b3dc2db3d5bd35 | %% HS subspace identification: Identifying the subspace where HS data live in
function [P_inc, P_dec, D, nb_sub]=idHSsub(XHd,subMeth,scale,varargin)
temp=reshape(XHd,[size(XHd,1)*size(XHd,2) size(XHd,3)])';
% temp=temp-repmat(mean(temp,2),[1,size(temp,2)]); % or equally temp=bsxfun(@minus, temp, mean(temp,2));
if nar... |
github | chail/NMF_neurodevelopment-master | wavelet.m | .m | NMF_neurodevelopment-master/matlab_functions/grinsted-wavelet-coherence-29dc526/private/wavelet.m | 5,820 | utf_8 | f48c1d1d0c53b9b5ca499a3251f771a0 | %WAVELET 1D Wavelet transform with optional singificance testing
%
% [WAVE,PERIOD,SCALE,COI] = wavelet(Y,DT,PAD,DJ,S0,J1,MOTHER,PARAM)
%
% Computes the wavelet transform of the vector Y (length N),
% with sampling rate DT.
%
% By default, the Morlet wavelet (k0=6) is used.
% The wavelet basis is normalized t... |
github | chail/NMF_neurodevelopment-master | wave_signif.m | .m | NMF_neurodevelopment-master/matlab_functions/grinsted-wavelet-coherence-29dc526/private/wave_signif.m | 6,564 | utf_8 | 902dbc3d1fb367cd50c144a31dffef4a | %WAVE_SIGNIF Significance testing for the 1D Wavelet transform WAVELET
%
% [SIGNIF,FFT_THEOR] = ...
% wave_signif(Y,DT,SCALE,SIGTEST,LAG1,SIGLVL,DOF,MOTHER,PARAM)
%
% INPUTS:
%
% Y = the time series, or, the VARIANCE of the time series.
% (If this is a single number, it is assumed to be the variance..... |
github | chail/NMF_neurodevelopment-master | wave_bases.m | .m | NMF_neurodevelopment-master/matlab_functions/grinsted-wavelet-coherence-29dc526/private/wave_bases.m | 2,932 | utf_8 | 0006a97e31ea35ae0a9abd0d3a2e03e0 | %WAVE_BASES 1D Wavelet functions Morlet, Paul, or DOG
%
% [DAUGHTER,FOURIER_FACTOR,COI,DOFMIN] = ...
% wave_bases(MOTHER,K,SCALE,PARAM);
%
% Computes the wavelet function as a function of Fourier frequency,
% used for the wavelet transform in Fourier space.
% (This program is called automatically by WAVELE... |
github | chen1474147/Deep3DPose-master | prepare_batch.m | .m | Deep3DPose-master/5-caffe/matlab/caffe/prepare_batch.m | 1,298 | utf_8 | 68088231982895c248aef25b4886eab0 | % ------------------------------------------------------------------------
function images = prepare_batch(image_files,IMAGE_MEAN,batch_size)
% ------------------------------------------------------------------------
if nargin < 2
d = load('ilsvrc_2012_mean');
IMAGE_MEAN = d.image_mean;
end
num_images = length... |
github | chen1474147/Deep3DPose-master | matcaffe_demo_vgg.m | .m | Deep3DPose-master/5-caffe/matlab/caffe/matcaffe_demo_vgg.m | 3,036 | utf_8 | f836eefad26027ac1be6e24421b59543 | function scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file, mean_file)
% scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file, mean_file)
%
% Demo of the matlab wrapper using the networks described in the BMVC-2014 paper "Return of the Devil in the Details: Delving Deep into Convolutional... |
github | chen1474147/Deep3DPose-master | matcaffe_demo.m | .m | Deep3DPose-master/5-caffe/matlab/caffe/matcaffe_demo.m | 3,344 | utf_8 | 669622769508a684210d164ac749a614 | function [scores, maxlabel] = matcaffe_demo(im, use_gpu)
% scores = matcaffe_demo(im, use_gpu)
%
% Demo of the matlab wrapper using the ILSVRC network.
%
% input
% im color image as uint8 HxWx3
% use_gpu 1 to use the GPU, 0 to use the CPU
%
% output
% scores 1000-dimensional ILSVRC score vector
%
% You m... |
github | chen1474147/Deep3DPose-master | matcaffe_demo_vgg_mean_pix.m | .m | Deep3DPose-master/5-caffe/matlab/caffe/matcaffe_demo_vgg_mean_pix.m | 3,069 | utf_8 | 04b831d0f205ef0932c4f3cfa930d6f9 | function scores = matcaffe_demo_vgg_mean_pix(im, use_gpu, model_def_file, model_file)
% scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file)
%
% Demo of the matlab wrapper based on the networks used for the "VGG" entry
% in the ILSVRC-2014 competition and described in the tech. report
% "Very Deep Convo... |
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