sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
5f547280ab9933eb490e8d71e5db57e42e12eb79a2669b82245d74290412b6a9 | MATLAB | 733 | 32 | function y = permute( x, order )
% Disciplined convex/geometric programming information for PERMUTE:
% PERMUTE(A,ORDER) imposes no convexity restrictions on A. ORDER
% must be constant.
%
% Determine the permutation
%
s = x.size_;
ndxs = 1 : prod( s );
ndx2 = permute( reshape( ndxs, s ), order );
%
% Pe... |
75303615c8338d2dc6227bd7a7ecf42a720acbb5e58f4130ae7b9bb87814910e | MATLAB | 733 | 32 | function cvx_optval = norm_nuc( X ) %#ok
%NORM_NUC Internal cvx version.
narginchk(1,1);
if ndims( X ) > 2, %#ok
error( 'norm_nuc is not defined for N-D arrays.' );
elseif ~cvx_isaffine( X ),
error( 'Input must be affine.' );
end
%
% Construct problem
%
[ m, n ] = size( X ); %#ok
W1 = []; W2 = [];
cvx_be... |
a291f4969512aaf5c3db05200fd09bce86475263c02e7fc79c7ef0a191928398 | MATLAB | 733 | 24 | function PI = freqMulti(f)
%FREQMULTI Calculate frequency coefficient for ITD-azimuth warping
%
% PI = IOSR.AUDITORY.FREQMULTI(F) calculates the coefficient PI for
% frequency F for use in converting between ITD and azimuth in Kuhn's
% model [1].
%
% References
%
% [1] Kuhn, G.F. (1977), Model for the inter... |
e83600bdc8fc11167417aabf8394cba4a6ba76aa6af5bb3aadb21473dd15b269 | MATLAB | 733 | 26 | function d = getdict
% Dictionary of GIfTI/NIfTI stuff
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillaume Flandin
% $Id: getdict.m 4505 2011-09-30 11:45:58Z guillaume $
persistent dict;
if ~isempty(dict)
d = dict;
... |
f2f70d6a3946370fcb8580a0dacf8bf9c48850dbb213d2188165bf24c19bdbcb | MATLAB | 733 | 26 | function res = PFNa_integ(params,inputs,inits)
% params = array where first row is AF, second row is OF
% inputs = array where:
% [ AF directions;
% AF speeds;
% OF directions;
% OF speeds;
% time ]
% Calculate single-half PB OF response
OF = A_response_de(params(2,:),inputs([3:5],:),inits(2));... |
fa3408eb44a37951b671898521cb2d0b735b8871fc0b2554171589d7847e6f08 | MATLAB | 733 | 19 | function s = structpack(names)
%STRUCTPACK Copies workspace variables into the fields of a structure.
% S = STRUCTPACK(NAMES) takes a cell array NAMES of strings containing
% the names of variables in the current workspace. It returns a
% structure with field names and contents copied from those variables... |
123317b362db09431c922e55bbff934b76448bf5b40e4d389addb874bcd3cdae | MATLAB | 734 | 26 | function [ cfgVISUAL ]= RFT_EEG_Visualise( data, channels, range, layout_file)
%
% PREPARE LAYOUT
load(layout_file); % this normally load a 'lay' structure
cfg.layout = lay;
layout = ft_prepare_layout(cfg, data);
% VISUALIZE DATA
cfgint = [];
cfgint.blocksize = 10;
... |
85ba482089d81a90040a9339e1e99470ae1f8590e813df0f21cfd503629dc611 | MATLAB | 734 | 24 | %% Example 3 of Running Collocation Topic Model (LDACOL)
%%
%%
% How to convert stream data into collocation stream data
%%
% Choose a dataset
dataset = 1; % 1 = psych review; 2 = nips
if (dataset==1)
% example 1: load in PSYCH REVIEW word stream and convert to
% collocation data
load 'psych... |
569d1818ac6613ee7ef04e213c8b234286726edc73a68f24f827081ed7c09726 | MATLAB | 735 | 27 | clear;
clc;
close all;
addpath(genpath('../functions/'));
SUBINFO_FILE = '../../subInfo/rid_sex_mDoB_yDoB_mExam_yExam_ageExam_dx_icv_bl.csv';
GMICV_FILE = '../../vbm_810bl/gmVolAndICV/rid_gmVol_icv_bl.csv';
[rid_dx, ~, ~, ~, rid_sex, ~] = get_data(SUBINFO_FILE, GMICV_FILE, 3);
% Stats
maleAD = sum(rid_sex(rid_dx(:,... |
6d180ac1c345c56def29e99d8a21508f1542fe127850e28e8f7e768b14d6fe6e | MATLAB | 735 | 34 | function convertmatfiles
savedir = 'matlab6files';
% take all mat files in the current directory
whdir = dir( '*.mat' );
nfiles = length( whdir );
for iiii=1:nfiles
filenow = whdir( iiii ).name;
fprintf( 'Working on file: %s\n' , filenow );
% first, get the variables from thi
V = wh... |
8c95a417e293e23a00e7f2fc95b1d37eaa28c7daf2d809f3fb9fcf1b39d6c526 | MATLAB | 735 | 31 | function csd = CSD(lfp)
%CSD - Compute current source density.
%
% USAGE
%
% csd = CSD(lfp)
%
% lfp local field potential samples
%
% SEE
%
% See also PlotCSD.
% Copyright (C) 2008-2011 by Michaël Zugaro
%
% This program is free software; you can redistribute it and/or modify
% it under the term... |
e436a42f9251ba2109a73fe6a71369277fcd34151f64436053a1261e7915ff30 | MATLAB | 735 | 20 | % Local Regression and Likelihood, Figure 6.4.
% Author: Catherine Loader
%
% Local smooth of CO2 dataset. Estimate the main trend,
% then use periodic smoothing of the residuals to estimate
% the annual effect. Add main trend and periodic components
% to get overall smooth.
%
% A periodic smooth is specified by 'style... |
f04b7b2c9334379bee8186d0393b604d02ccb95bd48ea7f70df6d025e2c64817 | MATLAB | 735 | 21 | function bumpsmooth(data, sigma_a, sigma_b)
% sigma_a=0.5; %smoothing across rows
% sigma_b=0.5; %smoothing down columns
for k = 1:length(sigma_a)
figure
subplot(1,length(sigma_b)+1,1)
imagesc(data)
title('original data')
hold on
for j= 1:length(sigma_b)
a=imgaussfilt(data,[sig... |
7fdf12b59c2ec7609786ff1e2b411b8ace2d3eb189fd0de102808e4a09041591 | MATLAB | 736 | 27 | function coords=ea_findcoords(goodz,trajectory,trajvector,dist,correction,options)
trajectory=ea_genhdtrajectory(trajectory,options);
onecoord=trajectory(abs(trajectory(:,3)-(goodz+correction(3)))<0.001,:);
%% add correction term
orth=null(trajvector);
orth=[orth,trajvector'];
orthx=orth(:,1);
orthy=orth(:,2);
try
... |
f004260ac88dbe866b4549a31c5492bb752c473a79161e214f2301afea847a1c | MATLAB | 737 | 33 | % Imbed a zoom menu to any figure.
%
% Usage: rri_zoom_menu(fig);
%
% - Jimmy Shen (jimmy@rotman-baycrest.on.ca)
%
%--------------------------------------------------------------------
function menu_hdl = rri_zoom_menu(fig)
if isnumeric(fig)
menu_hdl = uimenu('Parent',fig, ...
'Label','Zoom on', ..... |
8f8502928fc4458cae882d2af5b6de7585b361c8c52108e346bb4d79bbb02da6 | MATLAB | 738 | 35 | function varargout = offset(varargin)
% Format
% For getting the value
% dat = offset(obj)
%
% For setting the value
% obj = offset(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: offset.m 1143 2008-02-07 19:33:33Z ... |
b98ea21bac1ca6a9fcf484ea1fed4115ca3f37c69ebc6e84c9c511ee71ba48bd | MATLAB | 738 | 25 | function o2 = canlab_simple_mean_image_montage_by_condition(DATA_OBJ, image_set_names)
% o2 = canlab_simple_mean_image_montage_by_condition(DATA_OBJ, image_set_names)
%
% DATA_OBJ = cell array of fmri_data objects
% image_set_names = cell array of names for each image set (e.g., DAT.conditions)
%
% e.g.
% canlab_simple... |
d897bcc934d4dd57dcc2bdbde85acdb595255e5aea10eb3ef84e9c2c7856bcf1 | MATLAB | 739 | 30 | %% Figure 8 main
% Run fig8_analysis, then return here
fig8_analysis
% Load map
load('allenDorsalMap.mat');
% Params
cmap = 'L20';
smoothSD = 0.15;
%% Panel B:
% CCF with log probabilities for M2 GMM
plotMetricMapCCF(dorsalMaps, allROIs, 'lpM2', smoothSD, cmap)
%% Panel C:
% CCF with log probabilities for M1 GMM
pl... |
dd2e771308431fe4545b8a11c2ef5713d36a72db2ff381dc55cf6711e06edecd | MATLAB | 739 | 13 | [fname,pname]=uigetfile('*');
eval(['load ' pname '\' fname]);
params.tapers=[5 9]; params.pad=2; params.Fs=1000; params.fpass=[0 100]; params.trialave=1;params.err=[1 0.05];
movingwin=[0.5 0.1]; % duration of moving window used to evaluate spectrograms
win=[2 2]; % window around events
fignum=[2 3 6 9 8 7 4 1]; %... |
f7af3d8029f9a5259a6515af67d646b7402b0655e93a2808c35de981443398c9 | MATLAB | 739 | 35 | function [ INT ] = IDXtoINT_ss( IDX ,numstates)
%IDXtoINT(IDX) Converts state indices to state on/offsets
%
%INPUT
% IDX: [t x 1] vector of state indices, where states are identified by
% integers starting from 1. Times with IDX 0 will not be counted
% in any interval INT
% numstates (optiona... |
197cdb1b1240ea4c1028cacf7477ff2c061ac880e1619c0edd42d7b2e6d422fa | MATLAB | 740 | 22 | %% This function calculates the angles of a triangle and returns them as a 1 X 3 array
% – Sep 11th 2024, Stefan G. Lechner (s.lechner@uke.de) –
% Input arguments:
% PointA, PointB and PointC as 1 x 3 double
function [TrimerAngles] = CalcTrimerAngle1(PointA, PointB, PointC)
AB = PointA-PointB;
... |
3d97a48e206b3edea8bd1056f55fa06ecf024684ec6c645b40657d8660e87be7 | MATLAB | 740 | 11 | % Examples from <a href="http://stanford.edu/~boyd/papers/gp_tutorial.html">A Tutorial on Geometric Programming</a>
%
% max_volume_box.m - Box volume maximization
% simple_dig_ckt_sizing.m - Digital circuit sizing
% simple_dig_ckt_sizing_vect.m - Digital circuit sizing (vectorized)
% elmore_interco... |
24593f0b96878c3796e844cba31b32da8156cf61a459af2ba392ab51571c5ab9 | MATLAB | 741 | 26 | function M = CBIG_MMLDA_auto_reorient(path)
% This code is from https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=SPM;d1f675f1.0810
% Written by Nanbo Sun and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
spmDir = which('spm');
spmDir = spmDir(1:end-5);
tmpl = [spmDir 'canonical/av... |
2fdb0e18196339a2033b58f5eeab97c305cb670f031bbc363982efba13e655a5 | MATLAB | 741 | 28 | function ab=fill_abline(ab,varargin)
ab.on=true;
l=max(cellfun(@length,varargin(1:5)));
ab.slope(end+1:end+l)=shiftdim(varargin{1});
ab.intercept(end+1:end+l)=shiftdim(varargin{2});
ab.xintercept(end+1:end+l)=shiftdim(varargin{3});
ab.yintercept(end+1:end+l)=shiftdim(varargin{4});
ab.extent(end+1:end+l)=shiftdim(varar... |
64ef96b64c7fdadbacf70a8035dfdcda19f8622da19f80dd0114baf3c4086e96 | MATLAB | 742 | 34 | function DBListVariables(query)
%DBListVariables - List variables matching certain criteria.
%
% USAGE
%
% DBListVariables(query)
%
% query optional database query (WHERE clause)
%
% EXAMPLE
%
% DBListVariables('name="Spectrogram"');
%
% SEE
%
% See also DBGetVariables, DBGetFigures.
%
% Copyr... |
6be71122fe3af47492c232a8f0391aff7ddd513d017b8803d0faa063ad27fe46 | MATLAB | 742 | 13 | img = which('keuken_2014_enhanced_for_underlay.img');
img = fmri_data(img);
histogram(img, 'by_tissue_type');
% This uses the extract_gray_white_csf method, which in turn
% currently uses the images
% 'gray_matter_mask.img' 'canonical_white_matter.img' 'canonical_ventricles.img'
% These images ... |
6cfcaf508fd2e6925bd09d11542820b2b9e4272f97a24809fe1ceff5d679fe42 | MATLAB | 742 | 26 | function F = isfield(tree,uid,parameter)
% XMLTREE/ISFIELD Is parameter a field of tree{uid} ?
% FORMAT F = isfield(tree,uid,parameter)
%
% tree - a tree
% uid - uid of the element
% parameter - a field of the root tree
% F - 1 if present, 0 otherwise
%________________________________________________... |
dd0ef57e65a36d26d7d6165df841fbfa11d4e5644b1cd0dbc8aab79700a0cf3f | MATLAB | 742 | 27 | function bz_RunSessionMetadata(basepath)
% Wrapper to edit and then run SessionMetaData creation.
% This executes the metadata script created in bz_EditSessionMetadata.m
% after it is created and the user hits a key to indicate as much.
%
% See bz_EditSessionMetadata for much more info. T
%
% Brendon Watson 2017
%... |
e0e0734a0c4f3cb462805de53d56040e896c82cf4569a404b1b7224ba46c3a90 | MATLAB | 742 | 27 | function epochs = IntersectEpochs2(varargin)
% Finds the intersection of all sets of epochs.
% epochs = IntersectEpochs2(epochs1, epochs2, epochs3...)
%
% Must pass at least
%
import CMBHOME.Utils.*
if length(varargin)<2, error('you must pass at least 2 input arguments of type ''epoch'''); end
if any(cellfun(@isempty... |
8d48c13939939e3ef6eaf1c755fb874aa20af57a14260401122879056503268d | MATLAB | 743 | 30 | function f=pixtoim(pix_list,im_size,x_list,filter)
% Usage ... f=pixltoim(pix_list,im_size,x_list,filter)
%
% x_list=data (vector), pix_list=corresponding pixels(2 col)
% x_list and pix_list must be the same length
% x_list must be a vector and pix_list is a 2col vector
% filter is a binary vector which indicates inclu... |
4a9633d2b3091882426c59a37608111c7002cc7d0b15c4c5316365d12517f58b | MATLAB | 744 | 29 |
% some video sequence
i = 1;
for imgi = 85 : 88
fname{i} = sprintf('samplepics/seq/%03d.jpg',imgi);
i = i + 1;
end
N = length(fname);
% compute the saliency maps for this sequence
param = makeGBVSParams; % get default GBVS params
param.channels = 'IF'; % but compute only 'I' instensity and 'F' f... |
c99f3c4212642c59c818146fccf632ec0731d5f66ae2a643c81eaeacd3e20ebe | MATLAB | 744 | 30 | function cmap = cmapAreas(nAreas, type)
if nargin < 1
nAreas = 5;
end
if nargin < 2
type = 'manual';
end
if nAreas ~= 5
% Scale colorcet map values so they are more distinguishable
cmap = colorcet('I2', 'N', nAreas);
if nAreas == 5
vals = [0.55, 0.75, 0.95, 1, 1];
else
vals = ... |
204e91a75b6d21091a76b36ffb022a9d44e693d71c275e7a69a803b554c299b4 | MATLAB | 745 | 27 | function metrics = getMetrics(allROIs, zscore)
% Simple function to extract a matrix of features from a peths struct
if nargin < 2
zscore = 0;
end
% Validate
valid = [allROIs.valid] == 1;
allROIs = allROIs(valid);
% Concatenate each
sharpness = cat(1,allROIs.sharpness);
linearity = cat(1,allROIs.linearity);
persi... |
502f8429629a3800f36d0b6c17112b5764605d9d4b4c84151bcec749c305f2b7 | MATLAB | 745 | 27 | %% Number Shuffling
% ================
% The syntax is
% y = shuffle(X)
% where
% X: an m by n matrix or a 1 by n vector
% y: an m by n matrix or a 1 by n vector containing shuffled numbers of
% m by n matrix X or 1 by n vector X
function t = shuffle(X)
%% Created by: Aamir Alaud-din
%% Create... |
504b460495cd23a1b06c86978b0bad7b4f70165504cc7cefd8092d0371d5ec83 | MATLAB | 747 | 29 | close all;
clear;
clc;
%% Factors estiamted with 147 amyloid+ MCI
resultDir = '../../lda/postprocess/147blApMCI/k3/';
r = dir([resultDir 'r*']);
beta_apMCI = exp(load([resultDir r.name '/final.beta']));
%% Factors estiamted with 188 AD
resultDir = '../../lda/postprocess/188blAD/k3/';
r = dir([resultDir 'r*']);
beta... |
fda9a7ba1a9f2e652a3bfb8933735745f5c82d1bccb764f38b00db087fabe60b | MATLAB | 747 | 31 | function data_parcellated = calc_parcellate(parc, data_input)
% calc_parcellate.m
%
% Parcellate data
%
% Inputs: parc : parcellation [Nx1]
% data_input : data to parcellate [NxM]
%
% Output: data_parcellated : parcellated data [num_parcelsxM]
%
% Original: James Pang, Monash University, 2021
%%
n... |
0fcfe4353190645f2623ce05bb31e81ab4bfb8f51fecba5b97ecc0359b124fa9 | MATLAB | 748 | 21 | function rt = rt_analyze(e,s,b,TYPE)
globalsConditions;
optionsMinsearch = optimset('MaxFunEvals',50000, 'MaxIter',50000, 'TolFun',1e-12, 'TolX',1e-12);
data = dlmread(sprintf('e%dv%db%dc0/e%dv%db%dc0.log',e,s,b,e,s,b));
if (size(data,2)>COL_MAX) && EXCLUDE_DEMO_TRIALS
data = data(data(:,COL_MAX+1)==0,:);
e... |
d89ab886c3626fe00139d41414dbcf8f35cb4cb2c7f0f52c0725214bd10b06af | MATLAB | 748 | 29 | % eyelike() - calculate a permutation matrix P and a scaling (diagonal) maxtrix S
% such that S*P*E is eyelike (so permutation acts on the rows of E).
% E must be a square matrix.
% Usage:
% >> [eyelike, S, P] = eyelike(E);
%
% Author: Benjamin Blankertz (blanker@first.gmd.de) 3/2/00
fun... |
19d79c9fd120f0a84a8de9de6e4449e10efa1050597483869ec01e4f219001f9 | MATLAB | 749 | 29 | function [xx,yc]=mydftreg(im,refim,parms)
% Usage ... [x,imc]=mydftreg(im,refim,parms)
%
% parms=[scalef smwid]
upscalef=parms(1);
smw=parms(2);
if nargout==0, verbflag=1; else, verbflag=0; end;
if length(parms)==3, verbflag=parms(3); end;
for mm=1:size(im,3),
im1=refim;
im2=im(:,:,mm);
if smw>0,
... |
96c8490f9125904fe3951b9b50d12f14492807ec410480e0443e8047c239fa80 | MATLAB | 749 | 27 | %%****************************************************
%% gppschur: compute schur matrix of HKM direction
%% for GPP problems.
%%
%% schur = gppschur(X,Zinv,schurfun_par);
%%
%% Ak = -e*e' if k = 1
%% = -ek*ek' if k > 1.
%%
%% SDPT3: version 2.1
%% Copyright (c) 1997 by
%% K.C. Toh, M.J. Todd, R.H.... |
dedb4d4ea574ce9b12373c1a20029a6115dc8b08f12cabad17bc0913c275ceb4 | MATLAB | 749 | 20 | function err = muA_obj_scalar(x, mean_mu_a760, mean_mu_a850, thres_HbO, thres_HbR, ...
epsilon_mm_uM, J_chrom_brain, meas_HbO, meas_HbR, lambda, relative_beta_SNR)
%MUA_OBJ_SCALAR Scalar-only wrapper for fmincon.
% err = muA_obj_scalar(...)
%
% Ensures the fmincon objective returns... |
f2a1b53be01b63402bd339bcd840d5af879c53f751dbabfce6e80be444d81327 | MATLAB | 749 | 37 | function r = circ_dist2(x,y)
%
% r = circ_dist(alpha, beta)
% All pairwise difference x_i-y_j around the circle computed efficiently.
%
% Input:
% alpha sample of linear random variable
% beta sample of linear random variable
%
% Output:
% r matrix with pairwise differences
%
% Refe... |
88cc314ad792282863e763f87f6e3ae323822bad74d7016ae575352639d21890 | MATLAB | 752 | 29 | % intersect_bc - intersect backward compatible with Matlab versions prior to 2013a
function [C,IA,IB] = intersect_bc(A,B,varargin);
errorFlag = error_bc;
v = version;
indp = find(v == '.');
v = str2num(v(1:indp(2)-1));
if v > 7.19, v = floor(v) + rem(v,1)/10; end;
if nargin > 2
ind = strmatch('legacy', varargin... |
3790fad4b4337b280da06f671990c29d5a44cf58ba11ee3a0531ebadcc78b0f9 | MATLAB | 753 | 16 | function sleepstagesOUT = hume2danalyzer(sleepstagesIN)
% Convert a Hume score file to a danalyzer score file.
%%
% Authors: Dan Denis
% Date: 2021-07-14
%%
sleepstagesOUT.stages = sleepstagesIN.stages;
sleepstagesOUT.hdr.srate = sleepstagesIN.srate;
sleepstagesOUT.hdr.win = sleepstagesIN.win;
sle... |
fef347f5cfd56d03b3f136e903a86509b1ec3310346ba33bf37f35380c2e391c | MATLAB | 753 | 28 | function w = lapwin(L,b)
%LAPWIN Laplace window.
%
% IOSR.DSP.LAPWIN(N) returns an N-point Laplace window. The window w(x) is
% calculated for -10<=x<=10.
%
% IOSR.DSP.LAPWIN(N,B) returns an N-point Laplace window using scale parameter B.
% If omitted, B is 2.
%
% See also GAUSSWIN, CHEBWIN, KAISER, TU... |
7196a8cc6f43d2e43a592e8864b2140274a5dbd4c93bf1fafc2d8c20b66b453d | MATLAB | 754 | 22 | function basename = bz_BasenameFromBasepath(basepath)
% gets basename from a basepath input to a function. Uses name of the last
% directory on the path to give basename. Takes care of the problem of the
% fact that if a fileseparator is on the end of the basepath, you have to
% take it off first.
%
% INPUTS
% basepa... |
aa90ba7832ef61e96bea95416ca936f3f06c9701bb4d976ab5939cfe3c00ecd9 | MATLAB | 754 | 17 | function a = eq( x, y )
%Disciplined convex programming information for EQ (==):
% Both the left- and right-hand sides of an equality constraint must
% be affine (or constant). If either side of the constraint is complex,
% then the real and imaginary portions are constrained separately.
%
%Disciplined geometric... |
512665de800f33030ff797ddc880849deaced398a4f4aae0c99a4a9722892ec5 | MATLAB | 755 | 20 | % Local Regression and Likelihood, Figure 6.4.
% Author: Catherine Loader
%
% Local smooth of CO2 dataset. Estimate the main trend,
% then use periodic smoothing of the residuals to estimate
% the annual effect. Add main trend and periodic components
% to get overall smooth.
%
% A periodic smooth is specified b... |
5bbea38781b2593f827307e33de32b2a7d8174eb16cfdec8965457ded5afab16 | MATLAB | 755 | 23 |
% Example implementation of memory mapping an NPY file using readNPYheader
filename = 'data/chelsea_float64.npy';
[arrayShape, dataType, fortranOrder, littleEndian, totalHeaderLength, npyVersion] = readNPYheader(filename);
figure;
if fortranOrder
f = memmapfile(filename, 'Format', {dataType, arrayShape, 'd'},... |
8055703b184fe02c1b3a5869b24704aff34a5d87a15f5b1b4f2cce0c6d47d5a6 | MATLAB | 755 | 29 | function saveoff(v,f,fname)
%
% saveoff(v,f,fname)
%
% save a surface mesh to Geomview Object File Format (OFF)
%
% author: Qianqian Fang, <q.fang at neu.edu>
% date: 2007/03/28
%
% input:
% v: input, surface node list, dimension (nn,3)
% f: input, surface face element list, dimension (be,3)
% fname: out... |
7af347f7476a7aebd9ffa4a160f4bcea05cb7c0546765235b5dfaa6cf1748e79 | MATLAB | 756 | 27 | function [ xR, x, sx ] = bcompress( x, mode, nsrt )
narginchk(1,3);
if nargin < 2 || isempty( mode ),
mode = 'full';
elseif ~ischar( mode ) || size( mode, 1 ) ~= 1,
error( 'Second argument must be a string.' );
end
if nargin < 3 || isempty( nsrt ),
nsrt = 0;
elseif ~cvx_check_dimension( nsrt, t... |
7d31fc93d15c9b0e30273183d594a82baba738b696280fa0d65313f4bb7a2b1f | MATLAB | 756 | 17 | function output = resetintegrator(input, reset)
%RESETINTEGRATOR Running counter with resets.
% OUTPUT = RESETINTEGRATOR(INPUT, RESET), where INPUT and RESET are
% length N vectors, returns a length N vector OUTPUT equal to the
% cumulative sum of INPUT, reset to zero on each sample k for which
% RESET(k) ==... |
c1b914d6a25a50fa50a1c5afdf3a5ade728c86cb54fe5492385b204070778fe1 | MATLAB | 756 | 34 | function z = fun_cramer_von_mises(data)
% Cramér-von Mises test of coupling strength. Tests the degree to which the
% phase distribution shows a preferential peak relative to a uniform
% distribution. Value close to 1 when the coupling phase is consistent
% across spindles
%
% Required input:
%
% data: Coupling phases ... |
2f5ccfa88157152bf950ce2819272523da1ea654e89dbe3eddaf87bf13daeca2 | MATLAB | 758 | 26 | function signal_filtered = BandpassFilter(signal, Fs, Fpass)
% Takes 'signal' and bandpasses it to Fpass frequencies
%
% Arguments
%
% signal - arbitrary signal to be filtered
% Fs - sample frequency
% Fpass - 1x2 vector of F_low and F_high indicating passband
%
% signal_filtered = BandpassFilter(signal, Fs, Fpass)
if... |
41a27f48b42b434ed37ec6fbf24f820770f5eb95ccf057d7fc7141a7ed0e2ddc | MATLAB | 758 | 32 | % Section 8.5.3: Analytic center of a set of linear inequalities
% Boyd & Vandenberghe "Convex Optimization"
% Joëlle Skaf - 04/29/08
%
% The analytic center of a set of linear inequalities and equalities:
% a_i^Tx <= b_i i=1,...,m,
% Fx = g,
% is the solution of the unconstrained minimization p... |
7fe3fd12dad1ac20eb04c06b61c83ae294ff8435166200ed46c2a9407cd1f2b2 | MATLAB | 758 | 24 | rawPath = 'D:\aperiod\eeg\';
savePath = 'D:\aperiod\eeg_clean\';
fileList = dir(fullfile(rawPath, '*.vhdr'));
if isempty(gcp('nocreate'))
parpool(16);
end
parfor k = 1:length(fileList)
[ALLEEG, EEG, CURRENTSET, ALLCOM] = eeglab('nogui');
filePath = fullfile(rawPath, fileList(k).name);
... |
d9754d28d09cd7167c4759d132db0af3aa3f29047d4edd8f07fa2292bc933fc2 | MATLAB | 758 | 26 | function d = getdict
% Dictionary of GIfTI/NIfTI stuff
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillaume Flandin
% $Id: getdict.m 4505 2011-09-30 11:45:58Z guillaume $
persistent dict;
if ~isempty(dict)
d =... |
04bfd5896425b99d525332315a70be45afbb07c9b0874398e0c17b700df4a7f4 | MATLAB | 759 | 22 | function options = merge_options(default_options,varargin)
% MERGE_OPTIONS Merge a set of default options with options from varargin
% The set of options in varargin can be a list of key,value pairs, or a
% struct with the same information.
% David F. Gleich
% Copyright, Stanford University, 2008
%% History
% 2008-0... |
d44d0814299984de78f675fe90ae86aac015883c45c8ac718fcfd21ce9a2569d | MATLAB | 759 | 38 | function [th, fp, sp] = auto_threshold(rotcorr, rrcorr, nz)
maxcor=nz*(nz-1);
loop_step=[0.1 0.01 0.001 0.0001];
new_start=0.1;
new_end=1;
c=1;
for j=1:length(loop_step)
% Smaller steps around 0.5 --> 0.1
tempi=zeros(length(new_start:loop_step(j):new_end),2);
for i=new_start:loop_step(j):new_end
%bin=rrcorr;
... |
1162f39cce55be07802ecd2b6f062898fa74a03937e1f4f1e857a3b10259b9ca | MATLAB | 760 | 38 | function [th, fp, sp] = auto_threshold(rotcorr, rrcorr, nz)
maxcor=nz*(nz-1);
loop_step=[0.1 0.01 0.001 0.0001];
new_start=0.1;
new_end=1;
c=1;
for j=1:length(loop_step)
% Smaller steps around 0.5 --> 0.1
tempi=zeros(length(new_start:loop_step(j):new_end),2);
for i=new_start:loop_step(j):new_end
%bin=rrcorr;
... |
3793d9db1c449b04f1d1ec08c33498a2b479bfc620289877ca85628e1cf40027 | MATLAB | 760 | 20 | function X = attenuate_spikes(X, win, min_peak_dist, min_peak_height)
%NIRSPROC.ATTENUATE_SPIKES Heuristic spike squashing via derivative energy.
% X = ATTENUATE_SPIKES(X, win, min_peak_dist, min_peak_height)
if nargin<2, win=30; end
if nargin<3, min_peak_dist=30; end
if nargin<4, min_peak_height=0.02; end
... |
479328559ea297e8ca0e56554b894d1aa0907627fe5b2982093df63fa8164339 | MATLAB | 760 | 31 | function l = length(tree,r)
% XMLTREE/LENGTH Length Method
% FORMAT l = length(tree,r)
%
% tree - XMLTree object
% r - 'real' if present, returns the real number of nodes in the
% tree (deleted nodes aren't populated)
% l - length of the XML tree (number of nodes)
%
% Return the number of nodes of an XML... |
d01f604b30a09b0a9ce7df31e729d07de2716ee2f461bbb813d2e2de1c5e6ab0 | MATLAB | 760 | 23 | function [filename,go] = LCN_check_filename(dir_data,template_string)
% This script will check if we find uniquely a filename in a directory
% dir_data using the template_string as search string.
% If we find a unique file, this filename will be given as output. The
% variable go is also an output which is 1 if we find... |
d8ab4876f960bea01f9009eb3c037a2f785ef69ff749837dce901e94a8c35b61 | MATLAB | 760 | 31 | function [handles, loadData] = dan_clear_data(handles)
%%
% Authors: Dan Denis
% Date: 2021-07-14
%%
if ~isempty(handles.psg.data)
loadData = questdlg({'Clearing existing data. All unsaved progress will be lost', 'Do you want to continue?'},'Clear','Yes', 'No', 'Yes');
end
if strcmp(loadData, 'Yes')
... |
0afe478aaf392582b2e71782e60bce62db3f3b057a80cc3c258eef1f016a7afb | MATLAB | 761 | 17 | function indices = cifti_vox2ind(dims, voxlist1)
%function indices = cifti_vox2ind(dims, voxlist1)
% Convert a list of 1-based voxel indices to linear indices.
% This function exists because matlab's sub2ind requires the
% subscripts for each dimension to be separate arguments.
% This is inc... |
1fe5a5d07585de9dff978701cbe999ba5ef644abcc061a5fff3da04f46e834d8 | MATLAB | 762 | 19 | function ea_run_HMS_Orchestra(options)
% This is a function that runs code for each subject on a cluster. It needs
% to be adapted to suit your needs. Then, you can "Export code" using
% Lead-DBS and simply change the command ea_run to ea_run_cluster.
jobFile = [options.root, options.patientname, filesep, 'job_', ea_... |
37a7110a04291447b6eec9ab608a53b95f8817b7607e8b4e42ced7f9cabb33e7 | MATLAB | 763 | 22 | function vv=rot3d_nf(vol,rang,itype,rtype)
% Usage ... v=rot3d_nf(vol,rang,itype,rtype)
%
% rang is [x y z] in degrees (positive is CCW, rot2d_f is CW)
% (based on imrotate; x=+elevates-left,y=+elevates-top)
% itype is interpolation type -- default is linear
% rtype is rotation option -- cropping is default
... |
b49a9bb3aa37f850bd7fb6582224773173cfaf2476b8da58fa8bdae8f28cec01 | MATLAB | 763 | 19 | function init(fname, nbytes, opts)
% Initialise binary file on disk
% FORMAT init(fname, nbytes[, opts])
% fname - filename
% nbytes - data size {bytes}
% opts - optional structure with fields:
% .offset - file offset {bytes} [default: 0]
% .wipe - overwrite exisiting values with 0 [default: false]
% ... |
0db26fe4100e36df38226633c08d5aaf85b03d50182442461f6b280fd23d33ed | MATLAB | 764 | 29 | function [m,jsd]=jackknife(x)
% Compute jackknife estimates of the mean and standard deviation of input data x
% Usage: [m,jsd]=jackknife(x)
%
% Inputs:
% x : data in the form samples x trials
%
% Outputs:
% m : estimate of the mean (across trials)
% jsd: jackknife estimate of the standard deviation (across trials)
[... |
3191eacae3215c8f116636a1edea02f1b495277716f74fb4392b5ab72aa688f1 | MATLAB | 764 | 31 | function [ PS1_cs ] = subfun_ProfileSimilarity( DataScan , DataBB )
%% profile similarity
[N_region, N_layer] = size(DataBB);
% delete the layer 1 (it's about 10% of cortical thickness)
Num_Layer1 = max([1 round(N_layer/10)]);
% compute cosine similarity
PS1_cs = [];
for k = 1:numel(DataScan)
% Normalize each reg... |
7c16ec96a8e126e3537149b6384292c371d36a7fac2be2c736bde12e8dc81693 | MATLAB | 764 | 30 | function out = InsertDate(in)
%InsertDate - Insert date into string.
%
% Replaces %y, %m, %d and %t with current year, month, day and time.
%
% USAGE
%
% out = InsertDate(in)
%
% in string to modify
% Copyright (C) 2013 by Michaël Zugaro
%
% This program is free software; you can redistribute it an... |
202709b3b456bdd96cb16e50dd3b52b484768bd4224302df9cd7df4fc370aba0 | MATLAB | 765 | 27 | function [chosenfluor]=removemotion(chosenfluor,chosenred,thresholdstd,chosenframerate)
%THIS FUNCTION REMOVES FROM EVERY FLY
%TO DO A SINGLE FLY CALL THE HELPER RMmotion
%remove any trial where the red channel is moving too much since in
%practice this has not been something that is easy to correct.
%go through each... |
2a36a1e452067033a858191a13c6323ed77d8bfc025b021612a11c14e94c998b | MATLAB | 765 | 23 | function ACG = computeACG(theseSpikeTimes, ACGbinSize, ACGduration, plotThis)
% Handle empty or insufficient spike times
if isempty(theseSpikeTimes) || numel(theseSpikeTimes) < 2
halfBins = round(ACGduration/ACGbinSize/2);
nBins = 2*halfBins+1;
ACG = zeros(nBins, 1);
return
end
[acg, ~] = bc.ep.helpers... |
c9628dbfdc0df02843dab855e61520c19201147e661ba3919f85f474bd5c88f0 | MATLAB | 765 | 31 |
function mask = makeFixationMask( X , Y , origimgsize , salmapsize )
%
% this maps (X,Y) fixation coordinates to fixation mask
%
% given fixation coordinates X and Y in original image coordinates,
% produces mask of same size salmapsize where each location contains
% an integer count of the fixations lying at that lo... |
e76ea6675ba9a55cfc4b4579f4f6976c5d24a2fe90af7fedd2ba2e1601531afd | MATLAB | 765 | 19 | function ea_run_HMS_Orchestra_long(options)
% This is a function that runs code for each subject on a cluster. It needs
% to be adapted to suit your needs. Then, you can "Export code" using
% Lead-DBS and simply change the command ea_run to ea_run_cluster.
jobFile = [options.root, options.patientname, filesep, 'job_'... |
2af5b11076823316ae9a98c4c5e58550739b053602fdaab7d1d9304f707aeb8b | MATLAB | 766 | 31 | function cvx_optval = lambda_max( x )
%LAMBDA_MAX Internal cvx version.
narginchk(1,1);
if ndims( x ) > 2 || size( x, 1 ) ~= size( x, 2 ), %#ok
error( 'Input must be a square matrix.' );
elseif cvx_isconstant( x ),
cvx_optval = cvx( lambda_max( cvx_constant( x ) ) );
elseif cvx_isaffine( x ),
z = [];
... |
431a096261dcbbc3b01366268e3551ead06362cd8e1e7cb47acf4e85d3a0f60a | MATLAB | 766 | 40 | function ip = inplace(a)
% INPLACE Convert to a type that supports inplace modification
% ipa = inplace(v) creates an inplace double object from any matrix v.
%
% Example:
% ipa = inplace(ones(5));
if nargin == 0
error('inplace:invalidParameter', ['ipdouble must be created with an initial .']);
elseif ... |
4dae11eaec14c9173b5fad9b2bf589b8c36809cad475fddae61f76735568b4f2 | MATLAB | 766 | 19 | function ea_run_HMS_Orchestra_max(options)
% This is a function that runs code for each subject on a cluster. It needs
% to be adapted to suit your needs. Then, you can "Export code" using
% Lead-DBS and simply change the command ea_run to ea_run_cluster.
jobFile = [options.root, options.patientname, filesep, 'job_',... |
50f956f1eccc36b53a66b5a489ee9b838297c2d7e84d6177a7ccdaf5a4bf4f95 | MATLAB | 768 | 25 | function ind = CBIG_MMLDA_find_cell_in_cell(source_cell, target_cell)
% ind = CBIG_MMLDA_find_cell_in_cell(source_cell, target_cell)
%
% Find source cell array in target cell array and return the index in order.
%
% Input:
% - source_cell : source cell array
% - target_cell : target cell array
%
% Output:
% ... |
aedba77d66ef3cc37f68d3e5e72b32d48d84113952c7f9b41a92ff490017d8ba | MATLAB | 768 | 16 | function markers = leadingedges(data)
%LEADINGEDGES Marks 0 -> NONZERO transitions along data columns.
% EDGEMARKERS = LEADINGEDGES(DATA) takes an M x N matrix DATA and
% returns a M x N matrix EDGEMARKERS, containing a '1' in each location
% that corresponds to the first nonzero value in a DATA column follo... |
dc55734d756b0bb871ccd700963d00f1f2ab8d20de08eaaf3d0d16efa311de3b | MATLAB | 768 | 26 | function F = isfield(tree,uid,parameter)
% XMLTREE/ISFIELD Is parameter a field of tree{uid} ?
% FORMAT F = isfield(tree,uid,parameter)
%
% tree - a tree
% uid - uid of the element
% parameter - a field of the root tree
% F - 1 if present, 0 otherwise
%________________________________________... |
6cc9c8b694ca97a98b439ab8a6bb995748740cdd0bfde94d5054caf8d27f582e | MATLAB | 769 | 39 | function r = circ_dist2_abs(x,y)
%
% r = circ_dist(alpha, beta)
% All pairwise difference x_i-y_j around the circle computed efficiently.
%
% Input:
% alpha sample of linear random variable
% beta sample of linear random variable
%
% Output:
% r matrix with pairwise differences
%
% ... |
9f1a1f771755d2760819ab7f5bfa156f80bccbb5ea7c5ea4e026844a8b81e610 | MATLAB | 769 | 19 | function ea_run_HMS_Orchestra_medium(options)
% This is a function that runs code for each subject on a cluster. It needs
% to be adapted to suit your needs. Then, you can "Export code" using
% Lead-DBS and simply change the command ea_run to ea_run_cluster.
jobFile = [options.root, options.patientname, filesep, 'job... |
e1c92a37f012d0bbcde12fab76919665b83dfe401aa218e3d43627697deea7b0 | MATLAB | 769 | 29 | function threshold = ea_sfc_getautothresh(images)
% Calculate thresholds for visualization in SufIce
if ischar(images)
images = {images};
end
threshold = nan(length(images), 4);
for f=1:length(images)
nii = ea_load_nii(images{f});
nii.img(nii.img==0) = nan;
imgstd = ea_nanstd(nii.img(:));
if min(... |
2fdfe31b31b1ac197ae84e2fd5255710ca3f62309815e8bfb3a70a0290ce4741 | MATLAB | 770 | 30 | function [P,T,L,r,centerX,cX]=classSVD(x)
%CLASSSVD performs the singular value decomposition of a matrix with more
% rows than columns (uses svd.m)
%
% Required input:
% x : data matrix of size n by p where n>p
%
% This function is part of LIBRA: the Matlab Library for Robust Analysis,
% available ... |
483758298f4e7c010905e421c13c14570e5fdce6136cdb731f9df38f790aa019 | MATLAB | 771 | 23 | function [PTbaseIDX,t] = baseIDXfromPTonset(framesPerTrace,frameRate,PTsOnset,trigDelay)
if nargin==3
trigDelay = 0;
end
% t = 0:1/frameRate:framesPerTrace/frameRate-1/frameRate;
t = 0+1/frameRate:1/frameRate:framesPerTrace/frameRate;
PTonsetFromStart = trigDelay+PTsOnset;
PTonsetIDX = find(t==PTonsetFromS... |
c8ba876a81376fd54f215c923f2234307dab0eefc55d813518115c3d24d00747 | MATLAB | 772 | 35 | function len = strlen(str)
% len = strlen(str)
% compute the # of characters in str (ignoring 0s at the end)
%
% strlen.m
%
% Original Author: Bruce Fischl
% CVS Revision Info:
% $Author: nicks $
% $Date: 2011/03/02 00:04:13 $
% $Revision: 1.3 $
%
% Copyright © 2011 The General Hospital Corporation (Boston,... |
f0a4f476e8d3c12167a3160edc2c34fbffb9a5814a4b5b0ff9669cd8a219b19c | MATLAB | 772 | 41 | % Demonstration of hierarchical model fits
%
% SF 2014
clear all
close all
Ntrials = 1000;
Nsub = 10;
c = 0;
c1 = [-1.5 -1 -0.5];
c2 = [0.5 1 1.5];
group_d = 2;
sigma = 0.5;
noise = [1/3 2/3];
for i = 1:Nsub
% Generate dprime
d(i) = normrnd(group_d, sigma);
% Generate data
sim = type2_SDT_... |
3c93ca99daf8eadc98d080abce2514423387da7036e8d3268405e04dab608f7c | MATLAB | 774 | 28 | function X = circle_graph_layout(G,radius)
% CIRCLE_LAYOUT Layout the vertices of a graph on a circle
%
% X = circle_layout(G) generates a layout of graph with vertices uniformly
% placed on the circle. This function does no interesting layout and just
% places the vertices around the circle in order.
%
% X = circle_... |
c79936aeafe51379e03dd845dc4f3c86da289a712451fa015c92a0920808aab5 | MATLAB | 775 | 20 | function [TE] = calculate_TE(atoms, source_to_target)
% Calculate Transfer Entropy based on atoms decomposition
% TE(1→2) = Syn→Red + Syn→Un2 + Un1→Red + Un1→Un2
if source_to_target == "1to2"
% Transfer Entropy from X1 to X2
TE = atoms.str + ... % Syn→Red
atoms.sty +... |
db46e5749eb7575ee0aabf0481c9035da34a75cfe866bca2aaf19b87e73d825e | MATLAB | 775 | 12 | %-----------------------------------------------------------------------
% Job saved on 11-Apr-2016 11:34:23 by cfg_util (rev $Rev: 6460 $)
% spm SPM - SPM12 (6470)
% Written by Nanbo Sun and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
%-------------------------------------------... |
034d9ae6859a43cfd902162f851d23f14d357feb4c983aefcf5dec8045e9db31 | MATLAB | 776 | 28 | function plotOnsetPDFAreas(allROIs)
% Wrapper to plotMetricPDFAreas, for onset data
% Offset Y axis slightly in post, no need to do so here
% Plot
areas = {'M2', 'M1', 'S1-fl', 'S1-hl', 'S1-tr'};
plotMetricPDFAreas(allROIs, 'onset', areas, cmapAreas5(), [-200 400])
% Format figure
panelwidth = 2;
panelheight = 1.25;
... |
8b431aa1a461abad4bd0d1cad7243b49dfe5b022369dd43d6728a7ec95a9ce18 | MATLAB | 776 | 40 | function ClusterNum = PermClusterInfo(PvalpermV0001Ct)
for i = 1:length(PvalpermV0001Ct)
Pvaltemps(i,1:length(PvalpermV0001Ct{i})) = PvalpermV0001Ct{i};
end
AAA = Pvaltemps(Pvaltemps>0);
BBB = unique(AAA);
for i = 1:length(BBB)
noaaa(i) = length(find(AAA==BBB(i)));
end
CCC = cumsum(noaaa)/sum(noaaa);
inds = m... |
aa9a8173671a9babeef41929a79129cbbececc5eeeeb62a4f8c2c8ce21dc0e94 | MATLAB | 776 | 40 | function pval = circ_symtest(alpha)
%
% [pval, z] = circ_symtest(alpha,w)
% Tests for symmetry about the median.
% H0: the population is symmetrical around the median
% HA: the population is not symmetrical around the median
%
% Input:
% alpha sample of angles in radians
%
% Output:
% pval p-value
%... |
c2bce6a7574703602b6992f4e2737a49da504769a290e00367be925c6dc34b93 | MATLAB | 776 | 25 | function [cbar, clims] = SmartColorbar(clims, cmap_style)
% finds the proper value for null data points to be plotted as white in an
% IMAGESC plot, or similar.
%
% ARGUMENTS
% clims (1x2 vector) either the range of the data, or the prefered range of the
% colorbar
% cmap_style stri... |
703602044268e88e1c5f278bc8e68c8660e20300acb207a9f1679b0e1ad6e9d5 | MATLAB | 777 | 24 | function dists = eucDists(X)
% dists = eucDists(X)
%
% Pairwise Euclidean distances between columns, with no preprocessing.
% The below works because linear algebra. I stole it from tsne.m (and
% swapped the dimensions), but also checked the math.
% It is much, much faster than the more obvious way to do this. I thin... |
881d74381da6d3ce86ea00af49f5364542bba873c13c848d090e7bca388ee1d3 | MATLAB | 777 | 19 | function inter=CheckPointsInsideTetrahedron(V,F_Local_new, Vertex_id)
for j=1:size(F_Local_new,1)
P1=V(F_Local_new(j,1),:);
P2=V(F_Local_new(j,2),:);
P3=V(F_Local_new(j,3),:);
P4=V(Vertex_id,:);
% Box around tetrahedron
mi=[min([P1(1) P2(1) P3(1) P4(1)]) min([P1(2) P2(2) P3(2) P4... |
85c59e1c88582c8fcedb78495c64a7968cd18f39e06d3ada5441951e7c5de6f4 | MATLAB | 778 | 28 | classdef( Hidden, Sealed ) ChildEvent < event.EventData
%uix.ChildEvent Event data for child event
%
% e = uix.ChildEvent(c) creates event data including the child c.
% Copyright 2009-2015 The MathWorks, Inc.
% $Revision: 1165 $ $Date: 2015-12-06 03:09:17 -0500 (Sun, 06 Dec 2015) $
... |
0324cb92d204cc20364b81f7253673850ca3b51c20f17b9260cddb10dee574ca | MATLAB | 779 | 24 | function eventsOut = dan_convert_csv_events(eventsIn)
% This function converts an Excel, CSV events file into the correct format
% for danalyzer
%%
% Authors: Dan Denis
% Date: 2021-07-14
%%
% Read in events table
eventsTable = cellfun(@num2str,...
table2cell(readtable(eventsIn, 'ReadVariableNames', 0)),...
... |
7d5d80793e5eb7886cd601574515d7007eb71710bdccbee566968f8a47448153 | MATLAB | 779 | 21 | function S = SANDImodel(p,x,delta, smalldel, Dsoma)
Dis = Dsoma;
fellipse = @(p,x) exp(-x.*p(2)).*sqrt(pi./(4.*x.*(p(1)-p(2)))).*erf(sqrt(x.*(p(1)-p(2))));
fstick = @(p,x) fellipse([p,0],x);
fsphere = @(p,x) exp(-my_murdaycotts(delta,smalldel,p,Dis,x) );
fball = @(p,x) exp(-p.*x);
%S = p(2).*fstick(p(3),x)... |
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