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 | JonBoley/F31-master | read_parmV.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/read_parmV.m | 13,657 | utf_8 | cfa1bd1639500ea22dfde6ac12773d1f | function [parameterblock] = read_parmV(fptr)
% reads and decodes NEL datafile param block and puts them into a struct
% pb = read_parmV(fptr) <- reads file open on fptr into structure pb.
% Complete contents of structure documented below.
% NOTE: this m-file expects an open file on entry and does not close th... |
github | JonBoley/F31-master | read_parm1.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/read_parm1.m | 9,211 | utf_8 | 521cd07be5e65e23abae45cedde6f009 | function [parameterblock] = read_parm1(fptr)
% reads and decodes NEL datafile param block and puts them into a struct
% pb = read_parm1(fptr) <- reads file open on fptr into structure pb.
% Complete contents of structure documented below.
% NOTE: this m-file expects an open file on entry and does not close th... |
github | JonBoley/F31-master | read_parm.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/read_parm.m | 9,330 | utf_8 | 169a4c8d0cbf15b58f321b891cb12829 | function [parameterblock] = read_parm(filename)
% reads and decodes NEL datafile param block and puts them into a struct
% pb = read_parm('a3') <- reads a3.DAT into structure pb.
% Complete contents of structure documented in the m file.
% PK 10/2/97, EDY 12/8/97
% NOTE: this m-file opens and closes the data... |
github | JonBoley/F31-master | pstm.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/pstm.m | 9,073 | utf_8 | ad1add4a172e3d92de0c84f239f22434 |
function pstm(str)
% PSTM('a4') - computes and displays PST histograms of data in the file 'a4.DAT'
% which should be in the lab standard format.
% PSTM('a4b0.5f7') computes a PST histogram with binwidth 0.5 ms and filters
% it with a triangular window of width 7 bins.
% Filename must be first, but binwidth and ... |
github | JonBoley/F31-master | pst.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/pst.m | 4,476 | utf_8 | 01daebac2b28cfd11718d929d7d26b04 | function [psth_dat,time,stim_string]=pst(fn)
% PSTH maker: PK 12/20/98
% 'a4-7,12,15-17b2f7t400z50-51z100-102'
% where
% a4-7,12,15-17 means process P. Nos. 4-7, 12, 15-17
% b2 means use a binwidth of 2 ms (optional)
% f7 means filter with a 7-bin wide triangular filter (optional)
% t400 means f... |
github | JonBoley/F31-master | btq2.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/btq2.m | 2,411 | utf_8 | a8bb0e9a75d004ec8a20c23622ce2dff | %function used to find Q10 of TC, requires colomn vectors 'frequency' and 'intensity'
%which uses a slightly different method and takes into account cases in which either or both
%side of TC end before reaching 10dB above threshold.
%original program by Elizateth Allegretto (1998), modified by Teng Ji (1999)
func... |
github | JonBoley/F31-master | read_tc_cal3.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/read_tc_cal3.m | 4,192 | utf_8 | f6536934c7536b9fef7fee8c21e7e9af | %[tcdata,bf,thresh]=read_tc_cal(filename,calfile)
% Usage: type [tcdata,bf,thresh]=read_tc_cal('a3','a2') to read tuning curve
% data from tuning curve file a3.DAT, with a2.DAT as the
% calibration file. Program outputs tuning curve values, bf, threshold
function [tcdata_cal,bf,thresh]=read_tc_cal(filename,cal... |
github | JonBoley/F31-master | read_tc_cal.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/read_tc_cal.m | 3,632 | utf_8 | 3b4937ee8bb4e9ea8ca5e577a819f398 | %[tcdata,bf,thresh]=read_tc_cal(filename,calfile)
% Usage: type [tcdata,bf,thresh]=read_tc_cal('a3','a2') to read tuning curve
% data from tuning curve file a3.DAT, with a2.DAT as the
% calibration file. Program outputs tuning curve values, bf, threshold
function [tcdata_cal,bf,thresh]=read_tc_cal(filename,cal... |
github | JonBoley/F31-master | psth(old).m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/psth(old).m | 24,149 | utf_8 | 04ffebf637c59e56454290e3e5fe306d | function pst(str);
% PST('a4-6,9') - computes and displays PST histograms of data in the files
% a4.DAT, a5.DAT, a6.DAT, a9.DAT which should be in the lab standard format.
% PST('a4b0.5f7') computes a PST histogram with binwidth 0.5 ms and filters
% it with a triangular window of width 7 bins.
% Filename must be ... |
github | JonBoley/F31-master | ratep.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/ratep.m | 24,242 | utf_8 | 44c13d037f07bd059e65d7a0b18a5813 | function [drat,srat,abval,npts,nralvs]=ratep(str)
% RATEP('a4-7,15[s][f]') - computes and displays rate versus level functions
% for driven and spontaneous rates from the files specified, which should
% be in standard lab format.
% Options: s - superimposes files, otherwise are averaged together
% f... |
github | JonBoley/F31-master | getII.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/getII.m | 3,547 | utf_8 | 448f29190eb81658bb3faee083908d15 | function [nthr,spont,nlocr,nhicr,dynr,rmax,hislope,hioff,nhi1,nhi2] = ...
getII(drate,absc,thrin,abmxin,abmnin);
% Function computes dynamic range and high frequency slope for type II and similar
% units. Proceeds by:
% 1. Finds threshold as first point 3 sd above average rate
% 2. Finds max value withi... |
github | JonBoley/F31-master | ratepV.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/ratepV.m | 26,921 | utf_8 | dd7bb5bd57d32c2e2023bbecde6f23d3 | function [drat,srat,abval,npts,nralvs]=ratepV(str)
% RATEPV('a4-7,15[s][f]') - computes and displays rate versus level functions
% for driven and spontaneous rates from the files specified, which should
% be in standard lab format. Also reads PRE_GNUSYS files.
% Options: s - superimposes files, otherwise are av... |
github | JonBoley/F31-master | read_parmV.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/read_parmV.m | 13,657 | utf_8 | cfa1bd1639500ea22dfde6ac12773d1f | function [parameterblock] = read_parmV(fptr)
% reads and decodes NEL datafile param block and puts them into a struct
% pb = read_parmV(fptr) <- reads file open on fptr into structure pb.
% Complete contents of structure documented below.
% NOTE: this m-file expects an open file on entry and does not close th... |
github | JonBoley/F31-master | read_parm1.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/read_parm1.m | 9,211 | utf_8 | 521cd07be5e65e23abae45cedde6f009 | function [parameterblock] = read_parm1(fptr)
% reads and decodes NEL datafile param block and puts them into a struct
% pb = read_parm1(fptr) <- reads file open on fptr into structure pb.
% Complete contents of structure documented below.
% NOTE: this m-file expects an open file on entry and does not close th... |
github | JonBoley/F31-master | read_parm.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/read_parm.m | 9,330 | utf_8 | 169a4c8d0cbf15b58f321b891cb12829 | function [parameterblock] = read_parm(filename)
% reads and decodes NEL datafile param block and puts them into a struct
% pb = read_parm('a3') <- reads a3.DAT into structure pb.
% Complete contents of structure documented in the m file.
% PK 10/2/97, EDY 12/8/97
% NOTE: this m-file opens and closes the data... |
github | JonBoley/F31-master | pstm.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/pstm.m | 9,073 | utf_8 | ad1add4a172e3d92de0c84f239f22434 |
function pstm(str)
% PSTM('a4') - computes and displays PST histograms of data in the file 'a4.DAT'
% which should be in the lab standard format.
% PSTM('a4b0.5f7') computes a PST histogram with binwidth 0.5 ms and filters
% it with a triangular window of width 7 bins.
% Filename must be first, but binwidth and ... |
github | JonBoley/F31-master | pst.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/pst.m | 4,476 | utf_8 | 01daebac2b28cfd11718d929d7d26b04 | function [psth_dat,time,stim_string]=pst(fn)
% PSTH maker: PK 12/20/98
% 'a4-7,12,15-17b2f7t400z50-51z100-102'
% where
% a4-7,12,15-17 means process P. Nos. 4-7, 12, 15-17
% b2 means use a binwidth of 2 ms (optional)
% f7 means filter with a 7-bin wide triangular filter (optional)
% t400 means f... |
github | JonBoley/F31-master | btq2.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/EDYfiles/origs/btq2.m | 2,411 | utf_8 | a8bb0e9a75d004ec8a20c23622ce2dff | %function used to find Q10 of TC, requires colomn vectors 'frequency' and 'intensity'
%which uses a slightly different method and takes into account cases in which either or both
%side of TC end before reaching 10dB above threshold.
%original program by Elizateth Allegretto (1998), modified by Teng Ji (1999)
func... |
github | JonBoley/F31-master | mat2text.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/AFfunctions/mat2text.m | 3,820 | utf_8 | 6267fe42f1bc91fccc509bcac893f8f6 | function mat2text(x,fid,level)
% MAT2TEXT - writes a matlab variable to a text file in a matlab mfile format.
% The variable can be retrieved by evaluating (executing) the file.
% The variable can be of any intrinsic matlab format (struct, cell,
% ND array, string and sparse).
% ... |
github | JonBoley/F31-master | struct2str.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/AFfunctions/struct2str.m | 4,888 | utf_8 | 27820a0b3f813efb09d58124e1ea5432 | function [str,cur_line] = struct2str(s,units,max_width,max_struct_elem, ident_str,total_ident_len,str,cur_line)
%
% AF 11/6/01
if (exist('units','var') ~= 1)
units = struct([]);
end
if (exist('max_width','var') ~= 1)
max_width = Inf;
end
if (exist('max_struct_elem','var') ~= 1)
max_struct_elem =... |
github | JonBoley/F31-master | rescale_waveform.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/NEL_TDT_Mfiles/rescale_waveform.m | 596 | utf_8 | de7c7e5f088154e1b4c7440fb60b6f7c | %##########################################################################################
function out_wave = rescale_waveform(in_wave,Level_dBSPL,dBreTONE)
% x.Stimuli.BASELINE.dBreTONE
% x.Stimuli.Condition.Level_dBSPL
%##########################################################################################
... |
github | JonBoley/F31-master | window_waveform.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/NEL_TDT_Mfiles/window_waveform.m | 739 | utf_8 | f2e0f7dc24932d2b2ffd250867140649 | %##########################################################################################
function out_wave = window_waveform(in_wave,ur_Hz,dur_ms)
%##########################################################################################
stimOn_sec = dur_ms / 1000;
rf_time_sec = default_rise_time(stimOn_sec * 1... |
github | JonBoley/F31-master | refit_waveform.m | .m | F31-master/Vowel_STMP/Mfiles/MATLAB Mfiles/NEL_TDT_Mfiles/refit_waveform.m | 1,041 | utf_8 | 51ddd498526abe46f4555077cdc865fc | %##########################################################################################
function out_wave = refit_waveform(in_wave,ur_Hz,dur_ms)
%##########################################################################################
stimOn_sec = dur_ms / 1000;
required_nSamples = floor(ur_Hz*stimOn_sec);
c... |
github | JonBoley/F31-master | plot_EHINrlfs.m | .m | F31-master/Vowel_STMP/Mfiles/STMPfunctions/plot_EHINrlfs.m | 4,297 | utf_8 | 0a9f8cdc615fb4b3d14ca27970bd81c3 | function dBAtt_2_SNR = plot_EHINrlfs(RLFpics,CALpic)
% File: plot_EHINrlfs.m
% Modified from: quick_EHINrlfs.m (to clean up for ISH)
% Modified (MHeinz 18Apr2005) to plot vs noise Attenuation
% M.Heinz: 11Nov2004 (From GE: quick_vowel)
% For NOHR
%
% USAGE:quick_vowel(RLFpics,CALpic) [e.g., quick_vowel([2 3],1)... |
github | JonBoley/F31-master | plot_EHrlfs.m | .m | F31-master/Vowel_STMP/Mfiles/STMPfunctions/plot_EHrlfs.m | 5,820 | utf_8 | 5ac7d020e85ca1264548d19741d2ecea | function dBAtt_2_SPL = plot_EHrlfs(RLFpics,CALpic,FIGnum)
% File plot_EHrlfs.m
% Modified from: quick_EHrlfs.m (to clean up for ISH)
% M.Heinz: 11Nov2004 (From GE: quick_vowel)
% For NOHR
%
% USAGE:quick_vowel(RLFpics,CALpic) [e.g., quick_vowel([2 3],1)]
% Plots RLFs for a set of vowel features
%
% RLFpics: v... |
github | JonBoley/F31-master | doNOHRmex.m | .m | F31-master/Vowel_STMP/Mfiles/newMfiles/doNOHRmex.m | 995 | utf_8 | 9f4d276001e67952eef05bb699eebd38 | function doNOHRmex(fnames,dist,debug)
% DOMEX calls mex
% AF 10/15/01
global NOHR_dir
root_dir=fullfile(NOHR_dir,'Data Analysis','NOHR Mfiles');
if (exist('dist','var') ~= 1)
dist = 0;
end
if (exist('debug','var') ~=1)
debug = 0;
end
orig_dir = cd([root_dir '\mexsource']);
mexdir = [root_dir];
if (isce... |
github | JonBoley/F31-master | CCCanal_6.m | .m | F31-master/Vowel_STMP/Mfiles/SCCfunctions/CCCanal_6.m | 47,226 | utf_8 | 8c1afeaec0d423a455b08ccb0a60a6f4 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal_6(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% Modified: July 29, 2008 to generalize SCadjpeak and CCCenv comps based on
% different frequency regions.
% *** MODIFIED CCCanal_3 ONLY, 0, 1, 2 have no... |
github | JonBoley/F31-master | CCCanal_3a.m | .m | F31-master/Vowel_STMP/Mfiles/SCCfunctions/CCCanal_3a.m | 29,993 | utf_8 | e3a9de0f6ddb2d0d39abec317ffe8bed | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal_3(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% CCCanal_0: 1 basic RUN using all spike REPs
% CCCanal_1: Use all spike REPs, run 5 RS reps, avg PSDs, compute 1 CCC
% CCCanal_2: Use all spike REPs, r... |
github | JonBoley/F31-master | Copy of CCCanal_3.m | .m | F31-master/Vowel_STMP/Mfiles/SCCfunctions/Copy of CCCanal_3.m | 31,977 | utf_8 | fb983698856e309c1652e6fa77ad98e6 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal_3(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% Modified: July 29, 2008 to generalize SCadjpeak and CCCenv comps based on
% different frequency regions.
% *** MODIFIED CCCanal_3 ONLY, 0, 1, 2 have no... |
github | JonBoley/F31-master | CCCanal_1.m | .m | F31-master/Vowel_STMP/Mfiles/SCCfunctions/CCCanal_1.m | 24,380 | utf_8 | 1d74bb7225b7fdb96a680109497c5945 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal_1(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% CCCanal_0: 1 basic RUN using all spike REPs
% CCCanal_1: Use all spike REPs, run 5 RS reps, avg PSDs, compute 1 CCC
% CCCanal_2: Use all spike REPs, r... |
github | JonBoley/F31-master | CCCanal_0.m | .m | F31-master/Vowel_STMP/Mfiles/SCCfunctions/CCCanal_0.m | 23,102 | utf_8 | df6d74910dee3076eec8190d88375428 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal_0(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal_0.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% CCCanal_0: 1 basic RUN using all spike REPs
% CCCanal_1: Use all spike REPs, run 5 RS reps, avg PSDs, compute 1 CCC
% CCCanal_2: Use all spike REPs,... |
github | JonBoley/F31-master | CCCanal_2.m | .m | F31-master/Vowel_STMP/Mfiles/SCCfunctions/CCCanal_2.m | 24,789 | utf_8 | 9a9041e3d1778162a3be092a421687c1 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal_2(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% CCCanal_0: 1 basic RUN using all spike REPs
% CCCanal_1: Use all spike REPs, run 5 RS reps, avg PSDs, compute 1 CCC
% CCCanal_2: Use all spike REPs, r... |
github | JonBoley/F31-master | CCCanal_4.m | .m | F31-master/Vowel_STMP/Mfiles/SCCfunctions/CCCanal_4.m | 31,873 | utf_8 | c34819f606865b9491887ae69df35ac6 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal_4(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% Modified: July 29, 2008 to generalize SCadjpeak and CCCenv comps based on
% different frequency regions.
% *** MODIFIED CCCanal_3 ONLY, 0, 1, 2 have no... |
github | JonBoley/F31-master | CCCanal_3.m | .m | F31-master/Vowel_STMP/Mfiles/SCCfunctions/CCCanal_3.m | 40,031 | utf_8 | 1317926f77229b1c0f97f98bc44adae6 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal_3(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% Modified: July 29, 2008 to generalize SCadjpeak and CCCenv comps based on
% different frequency regions.
% *** MODIFIED CCCanal_3 ONLY, 0, 1, 2 have no... |
github | JonBoley/F31-master | CCCanal_5.m | .m | F31-master/Vowel_STMP/Mfiles/SCCfunctions/CCCanal_5.m | 40,463 | utf_8 | 61a5ce1e748e7fb66275889476596950 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal_3(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% Modified: July 29, 2008 to generalize SCadjpeak and CCCenv comps based on
% different frequency regions.
% *** MODIFIED CCCanal_3 ONLY, 0, 1, 2 have no... |
github | JonBoley/F31-master | CCCanal_ORIG.m | .m | F31-master/Vowel_STMP/Mfiles/SCCfunctions/OLD/CCCanal_ORIG.m | 22,649 | utf_8 | 343ea949f93a393933a402a1c3ebfab0 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% General function for neural cross-correlation analyses/metrics.
%
% this program computes the envelope and fine structure coding and
% correlations from... |
github | JonBoley/F31-master | calcCDreBF_manual.m | .m | F31-master/Vowel_STMP/Model/calcCDreBF_manual.m | 12,283 | utf_8 | d1d2b3d3ba175cb78f65f748d82df77d | function varargout = calcCDreBF_manual(varargin)
% CALCCDREBF_MANUAL M-file for calcCDreBF_manual.fig
% CALCCDREBF_MANUAL, by itself, creates a new CALCCDREBF_MANUAL or raises the existing
% singleton*.
%
% H = CALCCDREBF_MANUAL returns the handle to a new CALCCDREBF_MANUAL or the handle to
% the ex... |
github | JonBoley/F31-master | rescale_waveform.m | .m | F31-master/Vowel_STMP/Model/Neural metrics/NEL_TDT_Mfiles/rescale_waveform.m | 596 | utf_8 | de7c7e5f088154e1b4c7440fb60b6f7c | %##########################################################################################
function out_wave = rescale_waveform(in_wave,Level_dBSPL,dBreTONE)
% x.Stimuli.BASELINE.dBreTONE
% x.Stimuli.Condition.Level_dBSPL
%##########################################################################################
... |
github | JonBoley/F31-master | window_waveform.m | .m | F31-master/Vowel_STMP/Model/Neural metrics/NEL_TDT_Mfiles/window_waveform.m | 739 | utf_8 | f2e0f7dc24932d2b2ffd250867140649 | %##########################################################################################
function out_wave = window_waveform(in_wave,ur_Hz,dur_ms)
%##########################################################################################
stimOn_sec = dur_ms / 1000;
rf_time_sec = default_rise_time(stimOn_sec * 1... |
github | JonBoley/F31-master | refit_waveform.m | .m | F31-master/Vowel_STMP/Model/Neural metrics/NEL_TDT_Mfiles/refit_waveform.m | 1,049 | utf_8 | 9dc5cd3974f6fa82f804848946021639 | %##########################################################################################
function out_wave = refit_waveform(in_wave,ur_Hz,dur_ms)
%##########################################################################################
stimOn_sec = dur_ms / 1000;
required_nSamples = floor(ur_Hz*stimOn_sec);
c... |
github | JonBoley/F31-master | CCCanal_4.m | .m | F31-master/Vowel_STMP/Model/Neural metrics/SCCfunctions/CCCanal_4.m | 31,250 | utf_8 | 1fe922760cb0745d579fb28f21a75059 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal_4(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% Modified: July 29, 2008 to generalize SCadjpeak and CCCenv comps based on
% different frequency regions.
% *** MODIFIED CCCanal_3 ONLY, 0, 1, 2 have not been ... |
github | JonBoley/F31-master | CCCanal_3.m | .m | F31-master/Vowel_STMP/Model/Neural metrics/SCCfunctions/CCCanal_3.m | 31,321 | utf_8 | 3fa8957d8a16f3c6c85c6c35df8e92d7 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal_3(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% Modified: July 29, 2008 to generalize SCadjpeak and CCCenv comps based on
% different frequency regions.
% *** MODIFIED CCCanal_3 ONLY, 0, 1, 2 have not been ... |
github | JonBoley/F31-master | CCCanal.m | .m | F31-master/Vowel_STMP/Model/Neural metrics/SCCfunctions/CCCanal.m | 20,427 | utf_8 | f6546c55b8164d7f15764ac137165d34 | function [SACSCCfunctions,SACSCCmetrics,paramsOUT] = CCCanal(SpikeTrains,paramsIN,PLOT_15panel)
% File: CCCanal.m
% M. Heinz/ J. Swaminathan
% May 20, 2008
%
% General function for neural cross-correlation analyses/metrics.
%
% this program computes the envelope and fine structure coding and
% correlations from... |
github | fkloosterman/matlab-master | segcount.m | .m | matlab-master/fkSegments/segcount.m | 1,176 | utf_8 | 77dd6d5ebc9d1f3d29f371fb12147716 | function c = segcount( segs, x )
%SEGCOUNT cumulative count of segments
%
% fcn=SEGCOUNT(segments) returns a handle to a function that accepts a
% single argument and returns the cumulative count of segments at the
% values in the argument. (i.e. the function counts the number of
% segments which contain the value ... |
github | fkloosterman/matlab-master | inclPoints.m | .m | matlab-master/fkUtilities/inclPoints.m | 3,057 | utf_8 | 4c362b99bb475650753ed370c325a590 | function validpts = inclPoints(points, include, exclude)
%INCLPOINTS select 2D coordinates based on inclusive and exclusive regions
%
% b=INCLPOINTS(coordinates,include) for a nx2 matrix of 2d coordinates
% returns true if the coordinate lies within the include boundaries and
% false otherwise. Include boundaries ca... |
github | fkloosterman/matlab-master | struct2param.m | .m | matlab-master/fkUtilities/struct2param.m | 1,054 | utf_8 | b44fcd44d242b7c67f12e12337ee71f2 | function p = struct2param( s, expand )
%STRUCT2PARAM convert structure to parameter/value pairs
%
% p=STRUCT2PARAM(struct) returns a cell array of parameter/value pairs
% based on the structure.
%
% p=STRUCT2PARAM(struct,expand) expands substructures
%
% Copyright 2005-2008 Fabian Kloosterman
%check input argumen... |
github | fkloosterman/matlab-master | nanquad.m | .m | matlab-master/fkUtilities/nanquad.m | 4,920 | utf_8 | 7cb627f3fb2e060467fae6d4d26d7adc | function [Q,fcnt] = nanquad(funfcn,a,b,tol,trace,varargin)
%NANQUAD evaluate integral, ignoring NaNs
%
% [...]=NANQUAD(...) same as quad, but ignores NaNs
%
% See also QUAD
%
%QUAD Numerically evaluate integral, adaptive Simpson quadrature.
% Q = QUAD(FUN,A,B) tries to approximate the integral of function
% FU... |
github | fkloosterman/matlab-master | super.m | .m | matlab-master/fkUtilities/super.m | 1,116 | utf_8 | 9954d1eb9c3d45fbe6ec5774cbaf473f | function superobj = super(obj, base)
%SUPER super object of object
%
% superobj=SUPER(obj) returns the super object of an object or [] if
% none exists. Only works for single inheritance.
%
% superobj=SUPER(obj,1) returns the super base object of an object. Only
% works for single inheritance.
%
% super -- Super-... |
github | fkloosterman/matlab-master | fill_dvd.m | .m | matlab-master/fkUtilities/fill_dvd.m | 4,608 | utf_8 | bf7fd1b3dbd0c11777282fd8428a7470 | function fill_dvd( rootdir, varargin )
%FILL_DVD create dvd file lists for data backup
%
% FILL_DVD(rootdir) constructs multiple lists of files searched in all
% rootdir and all its subdirectories. Each list contains files that
% together could fill a DVD.
%
% FILL_DVD(rootdir,parm1,val1,...) specifies optional par... |
github | fkloosterman/matlab-master | binsearch.m | .m | matlab-master/fkUtilities/binsearch.m | 2,861 | utf_8 | 753f7921666cdc5ff1c9365137b3a6b7 | function v = binsearch( data, value, bias )
%BINSEARCH binary vector search
%
% idx=BINSEARCH(data,value) find the index of the element in the
% data vector that is nearest to the requested value using a fast
% binar search algorithm. Data should be sorted; this is not
% checked however (for performance reasons)
%
... |
github | fkloosterman/matlab-master | struct_union.m | .m | matlab-master/fkUtilities/struct_union.m | 2,205 | utf_8 | d357ecf3fe4fe67a2d8d8448825b0779 | function S = struct_union( S1, S2 )
%STRUCT_UNION return the union of two structures
%
% s=STRUCT_UNION(s1,s2) returns the union of two structures. If a field
% is present in both s1 and s2 and at least one of the fields is not a
% struct then the field from s2 is added. If both fields are structs the
% function re... |
github | fkloosterman/matlab-master | binfcn_gen.m | .m | matlab-master/fkUtilities/binfcn_gen.m | 5,492 | utf_8 | 15927945ddd60d956dd175586f5cd95d | function f = binfcn_gen( option, varargin )
%BINFCN_GEN generator of binning functions
%
% f=BINFCN_GEN(fcn_type,...) This function generates a function handle
% for a binning function. Arguments two and up are passed on to the
% binning function. The signature for a binning function is: binedges =
% fcn( time_wind... |
github | fkloosterman/matlab-master | dump.m | .m | matlab-master/fkUtilities/@configobj/dump.m | 2,828 | utf_8 | 72c30cf3b0e361c2feedbf30dd08e3ee | function val = dump( C, name, level )
%DUMP dump configobj to a string
%
% s=DUMP(c) dumps the contents of a configobj to a string. This function
% calls itself recursively for all nested sections.
%
% s=DUMP(c,name) internal use only, specify the name of the current
% section that is written to the string.
%
% s=... |
github | fkloosterman/matlab-master | complex_track.m | .m | matlab-master/fkEnvironment/complex_track.m | 13,173 | utf_8 | 9a6e82dc513bef488a823a488a52fabf | classdef complex_track < env_base & linearization_base
properties (Hidden=true)
edges = zeros(0,2) %list of (v1,v2) vertices
vertices = zeros(0,2) %list of (x,y) coordinates
vertex_labels = {};
polylines = zeros(0,2) %list of polylines corresponding to the edges
graph = ... |
github | fkloosterman/matlab-master | multi_track.m | .m | matlab-master/fkEnvironment/multi_track.m | 7,720 | utf_8 | 7fe596336d0cb18207341369c4ef46f1 | classdef multi_track < env_base & linearization_base
properties (Hidden=true)
tracks
end
properties (Dependent=true,SetAccess=protected)
length
track_lengths
end
methods
function obj=multi_track(tracks)
if nargin<1
t... |
github | sakov/gridutils-c-master | viewbound.m | .m | gridutils-c-master/gridutils/test/viewbound.m | 518 | utf_8 | 53e463e33479f86df02ea0bac53e77a5 | function viewbound(file);
[x, y] = fload(file);
plot(x,y,'k.-');
axis equal;
hold on;
return;
function [x,y] = fload(fname);
f = fopen(fname);
if f < 0
return;
end
x = [];
y = [];
str = fgetl(f);
while str >= 0
if str(1) ~= '#'
xy = ss... |
github | sakov/gridutils-c-master | viewbathydata.m | .m | gridutils-c-master/gridutils/test/viewbathydata.m | 1,221 | utf_8 | 889e3e78607d91f3e2cf50a870ced132 | function viewbathydata(fname, zmax, txt);
p = load(fname);
doprint = 0;
if exist('txt', 'var')
if txt ~= 0
doprint = 1;
end
end
if exist('zmax', 'var')
p = p(find(p(:,3) < zmax),:);
else
zmax = max(p(:,3));
end
zmin = min(0.0, min(p(:,3)... |
github | sakov/gridutils-c-master | vb.m | .m | gridutils-c-master/gridutils/test/vb.m | 5,131 | utf_8 | b49c62d56e41814614fe1a096449e77a | function vb(fname_z, fname_x, fname_y, nce1, nce2, zmax);
if ~exist(fname_z, 'file')
fprintf(1, '"%s" not found\n', fname_z);
return
end
if ~exist(fname_x, 'file')
fprintf(1, '"%s" not found\n', fname_x);
return
end
if ~exist(fname_y, 'file')
fprintf(1, '"%s" ... |
github | sakov/gridutils-c-master | viewgrid.m | .m | gridutils-c-master/gridutils/test/viewgrid.m | 1,967 | utf_8 | 9721a2e3254f9a00ef0c1d85fd50ef0a | function viewgrid(fname, f, i0, j0)
[nx, ny, x, y] = fload(fname);
xmin = min(x);
xmax = max(x);
ymin = min(y);
ymax = max(y);
xdiff = xmax - xmin;
ydiff = ymax - ymin;
diff = max([xdiff ydiff]) / 20.0;
xmin = xmin - diff;
xmax = xmax + diff;
ymin = ymin - diff;
ymax = y... |
github | 1nfused/lcr-meter-app-master | interactive_led_bar_graph.m | .m | lcr-meter-app-master/Examples/Matlab/interactive_led_bar_graph.m | 2,940 | utf_8 | d819f6d4271cc5f9a27dddf0dff67361 |
function sliderDemo
f = figure(1);
global p
%// initialize the slider
h = uicontrol(...
'parent' , f,...
'units' , 'normalized',... %// pixels settings
'style' , 'slider',...
'position', [0.05 0.05 0.9 0.05],...
'... |
github | 1nfused/lcr-meter-app-master | interactive_voltage_setting_on_slow_analog_output.m | .m | lcr-meter-app-master/Examples/Matlab/interactive_voltage_setting_on_slow_analog_output.m | 2,091 | utf_8 | 648ebf76d2b7e69479d077a458325649 |
function sliderDemo
f = figure(1);
global p
%// initialize the slider
h = uicontrol(...
'parent' , f,...
'units' , 'normalized',... %// pixels settings
'style' , 'slider',...
'position', [0.05 0.05 0.9 0.05],...
'min' , 1,...... |
github | WickedShell/ardupilot-master | RotToQuat.m | .m | ardupilot-master/libraries/AP_NavEKF/Models/Common/RotToQuat.m | 288 | utf_8 | 9239706354267c8f5f2a29f992c07de9 | % convert froma rotation vector in radians to a quaternion
function quaternion = RotToQuat(rotVec)
vecLength = sqrt(rotVec(1)^2 + rotVec(2)^2 + rotVec(3)^2);
if vecLength < 1e-6
quaternion = [1;0;0;0];
else
quaternion = [cos(0.5*vecLength); rotVec/vecLength*sin(0.5*vecLength)];
end |
github | WickedShell/ardupilot-master | NormQuat.m | .m | ardupilot-master/libraries/AP_NavEKF/Models/Common/NormQuat.m | 198 | utf_8 | ed913e87efc9194a2c52b266fced8da7 | % normalise the quaternion
function quaternion = normQuat(quaternion)
quatMag = sqrt(quaternion(1)^2 + quaternion(2)^2 + quaternion(3)^2 + quaternion(4)^2);
quaternion(1:4) = quaternion / quatMag;
|
github | WickedShell/ardupilot-master | QuatToEul.m | .m | ardupilot-master/libraries/AP_NavEKF/Models/Common/QuatToEul.m | 436 | utf_8 | c19c9235052d99b8b943a7157e83fc94 | % Convert from a quaternion to a 321 Euler rotation sequence in radians
function Euler = QuatToEul(quat)
Euler = zeros(3,1);
Euler(1) = atan2(2*(quat(3)*quat(4)+quat(1)*quat(2)), quat(1)*quat(1) - quat(2)*quat(2) - quat(3)*quat(3) + quat(4)*quat(4));
Euler(2) = -asin(2*(quat(2)*quat(4)-quat(1)*quat(3)));
Euler(3) =... |
github | CaptainFalco/OpenPilot-master | analyzeINSGPS.m | .m | OpenPilot-master/ground/openpilotgcs/src/experimental/SerialLogger/analyzeINSGPS.m | 2,192 | utf_8 | 5ff25ac538c86ff94edb1627e47f29aa | function [q gyro accel rpy time] = analyzeINSGPS(fn)
% Analyzes data collected from SerialLogger while DUMP_FRIENDLY
% enabled in AHRS
%
% [q gyro accel time] = analyzeINSGPS(fn)
fid = fopen(fn);
i = 1;
data(i).block = -1;
tline = fgetl(fid);
while ischar(tline) && ~isempty(tline)
switch(tline(1))
case 'q... |
github | CaptainFalco/OpenPilot-master | OPPlots.m | .m | OpenPilot-master/ground/openpilotgcs/src/plugins/uavobjects/OPPlots.m | 4,727 | utf_8 | 7c4904e8a2cea9eaefc753da7cd5b467 | function OPPlots()
[FileName,PathName,FilterIndex] = uigetfile('*.mat');
matfile = strcat(PathName,FileName);
load(matfile);
%load('specificfilename')
TimeVA = [VelocityState.timestamp]/1000;
VA = [[VelocityState.North]
[VelocityState.East]
[VelocityState.Down]]... |
github | CaptainFalco/OpenPilot-master | openpilot2kml.m | .m | OpenPilot-master/matlab/revo/openpilot2kml.m | 7,123 | utf_8 | 8d376a92373813a3ea2042b8291d9b1f | function openpilot2kml(matfile)
if ~exist('ge_colorbar', 'file')
msg=['Google Earth Toolbox must be present and included in the Matlab path. For example:'...
10 ' path(path, ''/Users/ponthy/googleearth'''];
error(msg)
end
if nargin==0
[FileName,PathName] = uigetfile('*.mat');
matfile = strcat(PathName,FileName)... |
github | hyginn/Systemikon-master | RandIndex.m | .m | Systemikon-master/FIND/SNF/RandIndex.m | 1,662 | utf_8 | 5d251e24a80f1a5997dc747861bee777 | function [AR,RI,MI,HI]=RandIndex(c1,c2)
%RANDINDEX - calculates Rand Indices to compare two partitions
% ARI=RANDINDEX(c1,c2), where c1,c2 are vectors listing the
% class membership, returns the "Hubert & Arabie adjusted Rand index".
% [AR,RI,MI,HI]=RANDINDEX(c1,c2) returns the adjusted Rand index,
% the unadjusted R... |
github | hyginn/Systemikon-master | SNF.m | .m | Systemikon-master/FIND/SNF/SNF.m | 1,204 | utf_8 | 04c1988b84cc2561999d4cd0aa63890f | function [W]=SNF(Wall,K,t,ALPHA)
if nargin < 2
K = 20;
end
if nargin < 3
t = 20;
end
if nargin < 4
ALPHA = 1;
end
C = length(Wall);
[m,n]=size(Wall{1});
for i = 1 : C
Wall{i} = Wall{i}./repmat(sum(Wall{i},2),1,n);
Wall{i} = (Wall{i} + Wall{i}')/2;
end
for i = 1 : C
newW{i} = FindDominateSet(... |
github | hyginn/Systemikon-master | litekmeans.m | .m | Systemikon-master/FIND/SNF/SNFmatlab_v2.1/litekmeans.m | 15,116 | utf_8 | f9a76a4de4f1e8bf56e3e4030be316b6 | function [label, center, bCon, sumD, D] = litekmeans(X, k, varargin)
%LITEKMEANS K-means clustering, accelerated by matlab matrix operations.
%
% label = LITEKMEANS(X, K) partitions the points in the N-by-P data matrix
% X into K clusters. This partition minimizes the sum, over all
% clusters, of the within-clus... |
github | hyginn/Systemikon-master | SPARAFAC_TT.m | .m | Systemikon-master/FIND/SNF/GraphFuse/SPARAFAC_TT.m | 3,008 | utf_8 | c5ffd5b8f205821c6edb9696af213537 | function [A B C cost]=SPARAFAC_TT(X,F,lambda)
%Sparse PARAFAC decomposition with Non-negativity Constraints, for balanced
%sparsity
%Nikos Sidiropoulos, Vagelis Papalexakis, 2011
% SMALLNUMBER = 10^8*eps;
SMALLNUMBER=10^-4;
MAXNUMITER = 20;
s = size(X); I=s(1);J=s(2);K=s(3);
factors = cp_nmu(X,F);
A=sparse(factors.U... |
github | hyginn/Systemikon-master | cp_apr.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/cp_apr.m | 7,920 | utf_8 | 5e7833d58cab0d616e25f7d89a374e1d | function [M,Minit,output] = cp_apr(X, R, varargin)
%CP_APR Compute nonnegative CP with alternating Poisson regression.
%
% M = CP_APR(X, R) computes an estimate of the best rank-R
% CP model of a tensor X using an alternating Poisson regression.
% The input X can be a tensor, sptensor, ktensor, or ttensor. The
% ... |
github | hyginn/Systemikon-master | export_data.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/export_data.m | 2,285 | utf_8 | 538198494bec6a8dff8f7556fb6f8255 | function export_data(A, fname)
%EXPORT_DATA Export tensor-related data to a file.
%
% EXPORT(A,FNAME) exports object A to the file named FNAME in plain ASCII
% text. Export currently supports exporting the following data types:
%
% - tensor
% - matrix
%
% In the case of a tensor, the first three line... |
github | hyginn/Systemikon-master | cp_nmu.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/cp_nmu.m | 4,976 | utf_8 | 633d7166c5a07d5533e57ba3ccb25162 | function [P,Uinit] = cp_nmu(X,R,opts)
%CP_NMU Compute nonnegative CP with multiplicative updates.
%
% P = CP_NMU(X,R) computes an estimate of the best rank-R PARAFAC
% model of a tensor X with nonnegative constraints on the factors.
% This version uses the Lee & Seung multiplicative updates from
% their NMF alg... |
github | hyginn/Systemikon-master | tt_combinator.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/tt_combinator.m | 12,324 | utf_8 | 9a8339d3a109b275537a2e5a3e9e3c9e | function [A] = tt_combinator(N,K,s1,s2)
%TT_COMBINATOR Perform basic permutation and combination samplings.
% COMBINATOR will return one of 4 different samplings on the set 1:N,
% taken K at a time. These samplings are given as follows:
%
% PERMUTATIONS WITH REPETITION/REPLACEMENT
% COMBINATOR(N,K,'p','r') -... |
github | hyginn/Systemikon-master | import_data.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/import_data.m | 1,738 | utf_8 | a654bb87c41d4fa404de6c65787299ab | function A = import_data(fname)
%IMPORT_DATA Import tensor-related data to a file.
%
% A = IMPORT_DATA(FNAME) imports an object A from the file named FNAME.
% The supported data types and formatting of the file are explained in
% EXPORT_DATA.
%
% See also TENSOR, EXPORT_DATA
%
%MATLAB Tensor Toolbox.
%Copyrigh... |
github | hyginn/Systemikon-master | create_problem.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/create_problem.m | 12,523 | utf_8 | 2ce0a9e79d83fb24168da4552f52c44a | function [info,params] = create_problem(varargin)
%CREATE_PROBLEM Create test problems for tensor factorizations.
%
% INFO = CREATE_PROBLEM('Param',value,...) creates a tensor factorization
% test problem. It generates a solution corresponding to a ktensor or a
% ttensor, and then it generates an example data ten... |
github | hyginn/Systemikon-master | renumber.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/@sptensor/private/renumber.m | 1,606 | utf_8 | b0e7ca64b6641a9f0ac50bef3e9ae5ef | function [newsubs, newsz] = renumber(subs, sz, range)
%RENUMBER indices for sptensor subsref
%
% [NEWSUBS,NEWSZ] = RENUMBER(SUBS,SZ,RANGE) takes a set of
% original subscripts SUBS with entries from a tensor of size
% SZ. All the entries in SUBS are assumed to be within the
% specified RANGE. These subscripts are t... |
github | hyginn/Systemikon-master | tucker_me.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/met/tucker_me.m | 4,560 | utf_8 | 3216bec3b59aecd3b4a11c8e4c559039 | function [T, max_mem, Uinit] = tucker_me(X, R, esz, opts)
%TUCKER_ME Memory-efficient Tucker higher-order orthogonal iteration.
%
% T = TUCKER_ME(X,R,ESZ) computes the best rank(R1,R2,..,Rn)
% approximation of tensor X, according to the specified dimensions
% in vector R. ESZ specifies the number of dimensions th... |
github | hyginn/Systemikon-master | tucker_me_test.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/met/tucker_me_test.m | 3,079 | utf_8 | 7cd5d5bf56ea1d8a82ef189d3c71d564 | function tucker_me_test
%TUCKER_ME_TEST Very simple tests of tucker_me.
% Code by Tamara Kolda and Jimeng Sun, 2008.
%
% Based on the paper:
% T. G. Kolda and J. Sun. Scalable Tensor Decompositions for Multi-aspect
% Data Mining. In: ICDM 2008: Proceedings of the 8th IEEE International
% Conference on Data M... |
github | hyginn/Systemikon-master | ttm_me.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/met/ttm_me.m | 4,085 | utf_8 | 241d426fee6a1d228fd2ca6c01db66b1 | function Y = ttm_me(X, U, edims, sdims, tflag)
%TTM_ME Memory-efficient sptensor times matrix.
%
% Y = TTM_ME(X, U, EDIMS, SDIMS, TFLAG) handles some dimensions
% elementwise and others in the standard way. Here, X is a sparse tensor
% (sptensor), U is a cell array of matrices of length ndims(X),
% EDIMS speci... |
github | hyginn/Systemikon-master | fixsigns.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/@ktensor/fixsigns.m | 3,162 | utf_8 | 8a24ae047737b6b7c2b6e62347dcd2d0 | function K = fixsigns(K,K0)
%FIXSIGNS Fix sign ambiguity of a ktensor.
%
% K = FIXSIGNS(K) makes it so that the largest magnitude entries for
% each vector in each factor of K are positive, provided that the
% sign on *pairs* of vectors in a rank-1 component can be flipped.
%
% K = FIXSIGNS(K,K0) returns a vers... |
github | hyginn/Systemikon-master | datadisp.m | .m | Systemikon-master/FIND/SNF/GraphFuse/tensor_toolbox_2.5/@ktensor/datadisp.m | 3,162 | utf_8 | 0b9d29cbfc884a9dbb6eec3a8729b7b1 | function datadisp(T, dimlabels, opts)
%DATADISP Special display of a ktensor.
%
% DATADISP(T,LABELS) displays the largest positive entries of each rank-1
% factor of T using the corresponding labels. LABELS is a cell array of
% size ndims(T) such that LABELS{n} is a string cell array of length
% size(T,n).
%
%... |
github | hyginn/Systemikon-master | mcl.m | .m | Systemikon-master/FIND/SNF/knowceans-mcl-src-20060805/mcl.m | 1,087 | utf_8 | f165141ca94d764c02fff83551ee9a79 | function m = mcl(m)
% test the explanations in stijn van dongens thesis.
%
% @author gregor :: arbylon . net
if nargin < 1
% m contains T(G3 + I) as stochastic matrix
load -ascii m.txt
end
p = 1.5;
minval = 0.001;
e = 1.;
emax = 0.001;
while e > emax
fprintf('iteration %i before expansion:\n', i);
... |
github | hyginn/Systemikon-master | myOctaveVersion.m | .m | Systemikon-master/FIND/SNF/rasmusbergpalm-DeepLearnToolbox-9faf641/util/myOctaveVersion.m | 169 | utf_8 | d4603482a968c496b66a4ed4e7c72471 | % return OCTAVE_VERSION or 'undefined' as a string
function result = myOctaveVersion()
if isOctave()
result = OCTAVE_VERSION;
else
result = 'undefined';
end
|
github | hyginn/Systemikon-master | isOctave.m | .m | Systemikon-master/FIND/SNF/rasmusbergpalm-DeepLearnToolbox-9faf641/util/isOctave.m | 108 | utf_8 | 4695e8d7c4478e1e67733cca9903f9ef | %detects if we're running Octave
function result = isOctave()
result = exist('OCTAVE_VERSION') ~= 0;
end |
github | hyginn/Systemikon-master | makeLMfilters.m | .m | Systemikon-master/FIND/SNF/rasmusbergpalm-DeepLearnToolbox-9faf641/util/makeLMfilters.m | 1,895 | utf_8 | 21950924882d8a0c49ab03ef0681b618 | function F=makeLMfilters
% Returns the LML filter bank of size 49x49x48 in F. To convolve an
% image I with the filter bank you can either use the matlab function
% conv2, i.e. responses(:,:,i)=conv2(I,F(:,:,i),'valid'), or use the
% Fourier transform.
SUP=49; % Support of the largest filter (must be... |
github | hyginn/Systemikon-master | caenumgradcheck.m | .m | Systemikon-master/FIND/SNF/rasmusbergpalm-DeepLearnToolbox-9faf641/CAE/caenumgradcheck.m | 3,618 | utf_8 | 6c481fc15ab7df32e0f476514100141a | function cae = caenumgradcheck(cae, x, y)
epsilon = 1e-4;
er = 1e-6;
disp('performing numerical gradient checking...')
for i = 1 : numel(cae.o)
p_cae = cae; p_cae.c{i} = p_cae.c{i} + epsilon;
m_cae = cae; m_cae.c{i} = m_cae.c{i} - epsilon;
[m_cae, p_cae] = caerun(m_cae, p_cae, x... |
github | rgwave/RTIMULib-master | mag_fit_display.m | .m | RTIMULib-master/RTEllipsoidFit/mag_fit_display.m | 1,220 | utf_8 | 12d8d12ef7f37e898204f4486f64cb9f | %//
%// Copyright (c) 2014, richards-tech
%//
%// This file is part of RTEllipsoidFit
%//
%// RTEllipsoidFit 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
%// (... |
github | lewisli/RSFSRC-master | test_dgt.m | .m | RSFSRC-master/user/pyang/test_dgt.m | 3,445 | UNKNOWN | 521effe52c3a9af0d2f39c421cf8edb2 | function test_dgt
%dgt.m: This programme is used to compute dual frame and reconstruct
% the original signal.
%
% Reference: Qian, Shie, and Dapang Chen. "Discrete gabor transform."
% Signal Processing, IEEE Transactions on 41.7 (1993): 2429-2438.
%
% Copyright (C) 2010 Xi'an Jiaotong University (P... |
github | lewisli/RSFSRC-master | demo_tau_method.m | .m | RSFSRC-master/user/pyang/demo_tau_method.m | 2,201 | utf_8 | cdfc7076867b1278b1949a7f635456f6 | function demo_tau_method
%% Copyright (c) Xi'an Jiaotong University 2014
% % Originally written by Guowei Zhang, adapted by Pengliang Yang
% %
% % Reference: Joakim O. Blanch, Johan O.A. Robertsson, and William W. Symmes,
% % Modeling of a constant Q: methodology and algorithm for an efficient and
% % optimall... |
github | lewisli/RSFSRC-master | test_dlct2.m | .m | RSFSRC-master/user/pyang/test_dlct2.m | 6,027 | utf_8 | 90744ad4292b8cf0f4dd5d14404f72f6 | function test_dlct2
% Description: matlab exmaple of DLCT
% Reference:
% Alkishriwo, Osama A., and Luis F. Chaparro. "A discrete
% linear chirp transform (DLCT) for data compression."
% 11th International Conference on Information Science, Signal
% Processing and their Applications (ISSPA) IEEE, 2012.
%
% Cop... |
github | lewisli/RSFSRC-master | test_dlct1.m | .m | RSFSRC-master/user/pyang/test_dlct1.m | 2,325 | utf_8 | 8123c2761ea3397f10bcdb24172557a7 | function test_dlct1
% Description: matlab exmaple of DLCT
% Reference:
% Alkishriwo, Osama A., and Luis F. Chaparro. "A discrete
% linear chirp transform (DLCT) for data compression."
% 11th International Conference on Information Science, Signal
% Processing and their Applications (ISSPA) IEEE, 2012.
%
% Cop... |
github | lewisli/RSFSRC-master | cg_avo.m | .m | RSFSRC-master/user/mehdi/cg_avo.m | 618 | utf_8 | 62588e64baf7e41bef6d2dcba02a0419 | % by Mehdi Eftekhari Far
%last updated: 12/3/2010
function [weight]=cg_avo(n_unknown,cons,bkbm,tolerancer,itmax,I)
M=n_unknown;
w=zeros(1,M);
B=cons';
g=-B;
p=g;
A=bkbm;
for i=1:I
alpha=sum(g.*g)/sum(p'.*(A*p'));
z=g.*g;
w=w-alpha.*p;
g=g-alpha.*(A*p')';
d=g.*g;
beta=d/z;
... |
github | lewisli/RSFSRC-master | replace.m | .m | RSFSRC-master/book/rsf/manual/replace.m | 4,178 | utf_8 | a5e18aec198aaf97df77efbaec9d5e12 | function replace(oldtxt,newtxt,file)
% REPLACE will lookinto a file and change all occurrences of a string with another string.
% This function is extremely fragile and untested (and dangerous). Use with extreme caution.
%
% Use \\ to produce a backslash character and %% to produce the percent
% character.
%
% SYNTAX
... |
github | lewisli/RSFSRC-master | SolveISTc.m | .m | RSFSRC-master/book/slim/geo2008NewInsightsPareto/Matfcts/SolveISTc.m | 4,763 | utf_8 | ef1677ada13e87bf0a03523cceadefa4 | function [x, xnorms, rnorms, lambdas] = SolveISTc(A, y, Iters, InnerIters, x, fullPath)
% SolveISTc: Iterative Soft Thresholding with cooling
%
%---------------------------------------------------------------
% Solve the basis pursuit (BP) problem
%
% min ||x||_1 s.t. Ax=y
%
%------------------------------------... |
github | lewisli/RSFSRC-master | SolveIRLS.m | .m | RSFSRC-master/book/slim/geo2008NewInsightsPareto/Matfcts/SolveIRLS.m | 5,437 | utf_8 | f8ff121a615a72c075d727c3325c949f | function [x, xnorms, rnorms] = SolveIRLS(A, y, Iters, InnerIters, a, sigma, damp, x, fullPath)
% SolveIRLS: Iterative Reweighted least-squares
%
%---------------------------------------------------------------
% Solve
%
% min 1/2||y-Ax||_2^2 + damp*||Wx||_2^2
%
%----------------------------------------------------... |
github | lewisli/RSFSRC-master | SolveIST.m | .m | RSFSRC-master/book/slim/geo2008NewInsightsPareto/Matfcts/SolveIST.m | 4,357 | utf_8 | 6bd35ee25f68d9e56cf45e22eb0146dd | function [x, xnorms, rnorms] = SolveIST(A, y, Iters, lambda, x, fullPath)
% SolveIST: Iterative Soft Thresholding
%
%---------------------------------------------------------------
% Solve
%
% min 1/2||y-Ax|| + lambda*||x||_1
%
%---------------------------------------------------------------
%
% INPUTS
% ======
% ... |
github | lewisli/RSFSRC-master | lsqr.m | .m | RSFSRC-master/book/slim/geo2008NewInsightsPareto/Matfcts/private/lsqr.m | 11,849 | utf_8 | b60925c5944249161e00049c67d30868 | function [ x, istop, itn, r1norm, r2norm, anorm, acond, arnorm, xnorm, var ]...
= lsqr( m, n, A, b, damp, atol, btol, conlim, itnlim, show )
%
% [ x, istop, itn, r1norm, r2norm, anorm, acond, arnorm, xnorm, var ]...
% = lsqr( m, n, A, b, damp, atol, btol, conlim, itnlim, show );
%
% LSQR solves Ax = b or mi... |
github | lewisli/RSFSRC-master | fx_emdpf.m | .m | RSFSRC-master/book/tccs/emdpf/matfun/fx_emdpf.m | 4,054 | utf_8 | 199aa0468a64f2e00f637f04d30cac1b | function [ D1 ] = fx_emdpf(D,flow,fhigh,dt,N, lf, mu)
%FXEMDPF: F-X domain empirical mode decomposition predictive filtering
% IN D: intput data
% flow: processing frequency range (lower)
% fhigh: processing frequency range (higher)
% dt: temporal sampling interval
% N: number of IMF... |
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