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function [regions,t,a] = load_covid_jhu(vars,folder)
%If input folder doesn't exist yet
if !exist(folder,"dir"), mkdir(folder); end
%Load region data from JHU github repository and write it to csv file or
%read it straight from file if it alrady exists
fname = fullfile(folder,"jhu.csv");
if !exis... |
function dataStruct = dataStructSegment(dataStruct, varargin)
%DATASTRUCTSEGMENT Segments MRI structural images into CSF, WM, and GM components.
%
% SYNTAX:
% dataStruct = dataStructSegment(dataStruct, 'PropertyName', PropertyValue...)
%
% OUTPUT:
% dataStruct: The human data structure with referenc... |
function [LaminarData] = GetLaminarPhase(spikeTimes,LFP,chanMap,Fs,filtBand,GP)
% Code to calculate the laminar profile of linear electrode data. The code
% takes as input:
% spikeTimes = a Mx1 cell array of M channels having N spike times in msec
% in each cell.
% LFP = a MxN array of M channels having N time poi... |
% 2012-2018.mat is just the csv files converted to matlab form using the
% importing tool.
addpath(genpath('Matlab Files'));
load("2012-2018.mat");
% create training and test splits
% 288 is 144 matches which is approx %70
train2012 = AFLStats2012(1:288,2:31);
test2012 = AFLStats2012(289:414,2:31);
train2013 = AFLSt... |
i = 1;
filename = ['d' num2str(i)];
load(filename)
fw_traces.period = [10000; fw_traces.period];
fw_traces.pip = [1.0; fw_traces.pip];
% plot PI_delta
plot(fw_traces.period / 1000, 1 - fw_traces.pip, 'r^-');
hold on;
% plot utilization
u = (1./(fw_traces.period / 1000)) / 0.1;
plot(fw_traces.period / 1000, u, 'bs-... |
vtolParamHW7; % load parameters
% instantiate spring, controller, and reference input classes
% Instantiate Dynamics class
vtol = vtolDynamics(P);
ctrl = vtolController(P);
amplitude = 1; % amplitude of reference input
offset = 0;
frequency = 0.01; % frequency of reference input
reference = signalGenerator(amplitu... |
%mlStructured light method - this method seems to be simpler and provide better
%calibration...testing needed
% Extract projector-camera color correspondences.
addpath('/Users/jacoverster/Desktop/Test_color_calib/light_off')
%Ainv_original =
% 1.8297 -0.0189 -0.0454
% -0.6188 1.5252 -0.3168
% -0.1377 ... |
function [outputArg1,accuracy] = naive_classifier(n,m,d,train,test,v)
%This function executes various calculations like computation of priori
%probabilities, likelihood probabailities, postpriori probabailities for
%the Naive bayes classifier.
%The likelihood probability is computed incorporating the laplace sm... |
function [Max, Min] = MM(A)
% 计算最大最小值
Max = max(A(:));
Min = min(A(:));
fprintf("max=%f, min=%f\n",Max,Min); |
function mdw1dstem(axe_IN,cfs_IN,longs,stem_ATTRB,txt_ATTRB)
%MDW1DSTEM Multi-Signal 1-D stem.
% M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi 22-Jun-2005.
% Last Revision: 20-Jul-2010.
% Copyright 1995-2010 The MathWorks, Inc.
% $Revision: 1.1.6.2 $ $Date: 2010/08/11 14:38:33 $
% Defaults.
%----------
a... |
[fName,fDir,fFilter] = uigetfile('*.txt;*','Open data file',...
'E:\Decathlon Raw Data');
delim=find(fName=='_');
delim=delim(end);
fName(delim+1:end)=[];
cenID=strcat(fDir,fName,'Centroid.dat');
motorID=strcat(fDir,fName,'Motor.dat');
labelID=strcat(fDir,fName,'labels.dat');
areaID=strcat(fDir,fName,'Area.dat');
... |
%This code takes eigenvalues (from eigfolder) and the normalized ???
%(ie. cos? = (???)/????b? from wdotbfolder). It then plots
%controllability magnitudes and angles of controllability magnitude
set(0,'defaultlinelinewidth',3)
set(0,'defaultaxesfontsize',32)
selected_bcls = [600:-10:80];
parameterflag = 4;
B ... |
%% Here we close video and audio devices and shows cursor if removed
function close_program(pahandle, MEG)
ShowCursor;
Screen('Closeall')
PsychPortAudio('Close', pahandle)
if MEG.use
MEG.bitsi.close();
end
end
|
% 16-741 Mechanics of Manipulation, Fall 2015
% Author: Sung Kyun Kim (kimsk@cs.cmu.edu)
%
% W: a set of normalized contact screws [[cix; ciy; ciz; c0ix; c0iy; c0iz] ...]; 6x(NM) matrix
% bFC: a flag which is true if the grasp is force closure; boolean
% zmax: the maximum value of the objective function at the optimal ... |
function [input_img,output_img,accuracy,L_k,output_img_name,flag1] = recognize(test_img_path,pca_transf_mat,L,D,k)
% A function to recognize test image using pca
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Input parameters
% test_img_path path for test image
% ... |
% Octave GNU Plotting
%
% Copyright (c) 2012-2015 Matthias Schmid <ramsondon@gmail.com>
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the... |
%% Load saved NREM data (Avoids running previous code)
%Reference
C6=load('C6.mat');
C6=C6.C6;
%PFC
C9=load('C9.mat');
C9=C9.C9;
%Parietal
C12=load('C12.mat');
C12=C12.C12;
%Hippocampus
C17=load('C17.mat');
C17=C17.C17;
%Timestamps
T6=load('T6.mat');
T6=T6.T6;
%Time lenght per epoch
tiempo=load('tiempo.mat');
tiempo=t... |
function dy = model(~, y, p)
dy = zeros(3,1);
dy(1) = -p(1) * y(2) * y(1);
dy(2) = p(1) * y(2) * y(1) - p(2) * y(2);
dy(3) = p(2) * y(2);
end
% beta = p(1), gamma = p(2), |
function Flag = isanystri(X,List)
% isanystri True if string is found in list, case insensitive.
%
% Syntax
% =======
%
% Flag = isanystri(X,List)
%
% Input arguments
% ================
%
% * `X` [ char ] - Input string that will be matched against the `List`.
%
% * `List` [ cellstr ] - List of string... |
% -------------------------------------
% Gaetan Facchinetti
% Cours C03 : methodes numeriques
%
% TP6 : Volumes finis en 1D
% -> Avec limiteur de pente
% -------------------------------------
% ---- INITIALISATION DES PARAMETRES INITIAUX
% Nombre de points, temps max
N = 1600;
T = 4.0;
% Pas d'espace : longeur d'... |
function [dist1,dist2]=distcal1(spimg,targetimg,bdctresult,T)
%calculate distance change of single image
%reshape images
if length(spimg(:))~=length(targetimg(:)) || length(spimg(:))~=length(targetimg(:))
fprintf('image size is not the same\n');
return
end
pixnum=length(spimg(:));
imgwid=sqrt(pixnum);... |
classdef unit < double
properties (SetAccess = immutable)
name = 'dimensionless' % unit name
dimensionality = [] % dimensionality of unit
value = 1 % base system equivalent value, 1 for base units
offset = 0 % offset from reference value
aliases = {} % pseudonyms and abbrevia... |
%plots imagesc of grid with NaNs as white
%http://www.mathworks.com/matlabcentral/newsreader/view_thread/140607
function imgsc = plot_grid(grid, curr_loc, dest_loc, home, resources)
maxval = 110;
grid(isnan(grid)) = maxval + maxval/10;
imgsc = imagesc(grid);
caxis([-100 110]);
set(gca,'ytick',1:size... |
function varargout = bicolordef(varargin)
% BICOLORDEF MATLAB code for bicolordef.fig
% BICOLORDEF, by itself, creates a new BICOLORDEF or raises the existing
% singleton*.
%
% H = BICOLORDEF returns the handle to a new BICOLORDEF or the handle to
% the existing singleton*.
%
% BICOLORDEF('CALL... |
% Representation for the attachments for the entire system. The system is
% comprised of the attachments for a cable, which contains the individual
% attachment points.
%
% Author : Darwin LAU
% Created : 2016
% Description :
classdef AttachmentPointParamSystem < handle
properties (SetAccess... |
%%
range_stim = 1:12;
n = round(length(range_stim)*1.1);
clrmap = hsv(max(1,n));
anat_yx_norm = getappdata(hfig,'anat_yx_norm');
figure;
hold on;
image(anat_yx_norm)
axis equal
axis ij
axis off
range_fish = 8:11;
for i_fish = range_fish,
IX = ~isnan(Fish{i_fish}.xyz_norm_avr(:,1));
scatter(Fish{i_fish}.xyz_... |
function [Reg_model,rms] = learn_one_BLSregressor(Data,LearnedDistribution, options, current_cascade)
nData = length(Data);
n_points = size(Data{1}.shape_gt,1);
shape_dim = 2*n_points;
n_init_randoms = options.augnumber;
if strcmp(options.descType,'sift') == 1
desc_dim ... |
function Z = mydetectorMod(x, smoothLength, thresh)
% % INPUTS:
% - x is output of one of your filter.
% - smoothLength is length of moving average filter to smooth out the
% variations.
% - thresh is the threshold level for amplitude to flip to 0 or 1.
%
% OUTPUT:
% - Y is the vector filtered output with bette... |
% obliczanie estymatora widmowej gestosci mocy
% transformata Fouriera funkcji autokorelacji procesu ergodycznego
% metoda Blackamana-Tukeya (okienkowanie autokorelacji)
clear all; clf; subplot(1,1,1);
N = 1000; % liczba probek sygnalu
fs = 1000; % czestotliwosc probkowania
n = 0:(N-1); % indeksy [rpbel
dt = 1/fs; % o... |
filefolder = 'C:\Users\praveen\Desktop\imgp\1\Input Images\';
imagefiles = dir(fullfile(filefolder,'*.*'));
nfiles = length(imagefiles);
count = 0;
for i=9
filename = imagefiles(i).name;
fullfilename = fullfile(filefolder,filename);
im = imread(fullfilename);
[rows column depth] = size(im);
if(dept... |
function [dirIndcs,dirSigns] = alignCVdirsDR(weights1,weights2)
nComps = size(weights1,2);
indcs = 1:nComps;
dirIndcs = 1:nComps;
dirSigns = ones(1,nComps);
for i = 1:nComps
cossvals = weights1(:,i)'*weights2;
[val,idx] = max(abs(cossvals));
dirIndcs(i) = indcs(idx(1));
if cossvals(idx)<0
... |
function str = cleargds(str)
% This function deletes existing gds data in str.
% SF, May 2 2007
str.gds = []; |
function vec = interp_obstacle(obstacle,rho)
%%definne obstacle coordinates
X = obstacle(1,:);
Y = obstacle(2,:);
Z = obstacle(3,:);
vec = [];
%%interpolate along each edge
for z = Z
for x = X
yvec = linspace(Y(1),Y(2),rho)';
yvec = [x.*ones(rho,1),yvec,z.*ones(rho,1)];
vec = [vec;yvec];
... |
# Add all the natural numbers below one thousand that are multiples of 3 or 5.
# ----------------------------------------------------------------------------
# execute within Octave session session using "source q1.m" in this dir.
# brute force: filter and sum
clear all
tic
ns = 1:999;
sum((mod(ns,3)==0 | mod(ns,5)==0... |
datos
[t, x] = meulermej(f, intervalo, x0, N);
graficas |
X = [];
y = [];
o1 = [-25 -25]
r1 = 25
o2 = [25 25]
r2 = 25
for i = -100:100
for j = -100:100
X = [X; i j];
f = 0;
x = [i j];
if norm(x-o1) < r1
f = sqrt(r1^2 - norm(x-o1)^2);
elseif norm(x-o2) < r2
f = sqrt(r2^2 - norm(x-o2)^2);
end
y = [y; f];
end
end
figure;
scatter3(X(:,1... |
function plotAngles(model_index, out)
model = strcat('Model', int2str(model_index));
figure('WindowState', 'maximized');
subplot 211
hold on, grid on, box on
yyaxis left
ylabel('YAW ANGLE [deg]');
plot(out.tout', out.logsout.find('BlockPath', strcat(model, '/yaw_angle[deg]')).getElement(1).Values(:,1).Data, ...
'... |
function C = RandColor(index)
%function C = RandColor(index)
% outputs a random color uniformly in RGB
if(nargin > 0)
z = Colors;
C = z(1+mod(index,size(z,1)),:);
else
C = [rand rand rand];
end
function C = Colors
C = [0,1,2,3,5,6,8,9] * .1;
C = repmat(C(:),[2,1]);
C(1:10,2) = 1;
C(1:10,3) = 1;
C(11:20,2) = .... |
function Xs = CubeRoot(p)
F1=@(x) x^3-p;%주어진 함수
F1_x=@(x) 3*x^2;%x로미분
xi=p;%초기값
fail=0;%초기값
for i=1:20
Xs=xi-(F1(xi)/F1_x(xi));
if abs((Xs-xi)/xi)<0.00001
disp('Success')%원하는 값을 얻었다
fail=1;
break
end
xi=Xs;
end
... |
% Final Project - Interest Points Detection and Image Matching
% Author: CÚline Bensoussan & Jill Perreault
% Course: Computer Vision
% Date: April 15, 2013
function theta = gradientOrientation(im, sigma)
% GRADIENT ORIENTATION: Calculate the direction angle of the gradient (orientation)
%
% theta = gradient(im, si... |
info = dicominfo('./IM00002.dcm');
Y = dicomread(info);
figure
dicomwrite(Y, 'sc_file.dcm');
imshow(Y,[]); |
clear;
clc;
max_user_ratings = 100;
buff=20;
num_movies = 10;
%read data about movies
MovieData = readtable('movies.csv');
%wczytanie pliku z macierza korelacji
CorrMatrix = csvread('CleansedCorrMatrix.csv');
%create helper vector
fid = fopen('corrMatrix.csv');
a = textscan(fid,'%s',1);
fclose(fid);
str = char(a{1})... |
function model = loadSDIMS(file_sdims)
%Go through the file line by line creating the model
%This is a tree structure which will keep track of the model, later it is
%converted to XML doc readable by our EKF. The root node only contains the
%world frame information.
%Create empty tree
model = tree();
%Keeps track of... |
function [angle, range,phase1,phase2,MY_PHI] = analyze_results_test_m_engin(fliename)
%fname = 'Sparameter_2017_07_07_11_41_35.csv';
vnaCfg = struct('Nrx', 3, 'startFreq', 6.25e9, 'stopFreq', 6.75e9);
% vnaCfg = struct('Nrx', 3, 'startFreq', 3e9, 'stopFreq', 8e9);
pkCfg = struct('relThresh', 0.3, 'Npk', 3);
fname = f... |
a = zeros(1,10);
for n = 1:10
a(n) = sin(n-1);
end
input = a + 0i;
output = fft(input);
|
function Graph = graphical_lasso(S,rho)
dim = size(S);
n = dim(1,1);
p = dim(1,2);
max_iterations = 100;
tolerance = 1e-4;
% Initialize W
W = S + rho*eye(p);
W_prev = W;
for iter=1:max_iterations
for j=p:-1:1
i = j;
W11 = W;
W11(i,:) = [... |
function [di,filtered_fixed,transformed_moving] = differenceImages(fixed,moving,spacing,A,b,method,filter,sigma,radius)
% crosshair = vargin{1};
% crange = vargin{2};
% if nargin < 10
% crosshair = round(size(fixed) / 2);
% end
% if nargin < 11
% crange = [-1000 1000];
% end
if nargin <= 6
... |
classdef VerMacData < handle
properties
all_data;
data_day;
config_file;
end
methods
%===============================================================
% initialize object properties with all the raw data
funct... |
% source: https://www.mathworks.com/examples/matlab-communications/mw/comm_product-OFDMvsUFMCExample-ufmc-vs-ofdm-modulation
clc; close all;
clear;
s = rng(211);
%% Parameters
numFFT = 512; % number of FFT points
subbandSize = 20; % must be > 1
numSubbands = 10; % numSubbands*subbandSize <= numFFT
subb... |
% mu: 2x1 matrix
% Sigma: 2x2 matrix
% phi: a number
% mu0 = [0;0];
% Sigma0 = [1, 0; 0, 1];
% mu1 = [1;1];
% Sigma1 = [1, 0; 0, 1];
% phi = 0.5;
% plot_ex1(mu0, Sigma0, mu1, Sigma1, phi, 'Line', 1);
%
% mu0 = [0;0];
% Sigma0 = [1, 0; 0, 1];
% mu1 = [1;1];
% Sigma1 = [1, 0; 0, 1];
% phi = 0.9;
% plot_ex1(mu0, Sigma0,... |
function prediction=S4VM(labelInstance,label,unlabelInstance,kernel,C1,C2,sampleTime,gamma)
% S4VM implements the S4VM algorithm in [1].
% ========================================================================
%
% Input:
% S4VM takes 8 input parameters(the first three parameters are necessary,
% the rest are opt... |
function [ chaincodes ] = im_chaincodes( datafile, region_size )
if (isdatafile(datafile))
images = data2im(datafile);
length = size(datafile, 1);
elseif (iscell(datafile) && ismatrix(datafile{1}))
images = datafile;
length = size(datafile, 1);
elseif (ismatrix(dataf... |
function newROI = duplicateStimROI(StimROI)
if length(StimROI.scanfields)>1
error('ROI contains multiple scanfields'),
end
sf = StimROI.scanfields;
newSF = scanimage.mroi.scanfield.fields.StimulusField(sf.stimfcnhdl,sf.stimparams,sf.duration,sf.repetitions,...
sf.centerXY,sf.scalingXY,sf.rotation... |
qw = bwlabel(imSegAr);
ab = imSegAr;
for i=1:length(centAr)
flag = 0;
for j=1:length(destCoord)
if(centAr(i)==destCoord(j))
flag = 1;
% disp('hi');
end
end
if (flag==1)
ab = ab - (qw(:,:)==i);
end
end |
function [Prediction] = ItemBasePrediction(a,index,TestSet,TrainingSet,TestThreeRateIndexOrg,k,knn)
[~,column] = size(a);
count=0;
countRateSim=0;
sumofSim=0;
for i=1:column
if(TrainingSet(index(1,i),TestThreeRateIndexOrg(k,1))~=-1 && count<knn)
countRateSim= countRateSim + ((a(1,i))*(TrainingSet(i... |
function [ img norm_events sum_events ] = plotProcEvents( events, fields, pixelWidth, figname_prefix, allEventTypes, colorMap, lineTypes, timeInterval)
%plotTiming draws an image that represents the different activities in MPI
% The function first parses the data and generate a normalized event map
% with dimension... |
function [ nevheader, spikeheader, nevstimheader ] = nevGetHeaders( fid )
%
% function [ nevheader, spikeheader, nevstimheader ] = NEVGetHeaders( fid )
%
% Reads the header data from a nev file - see the nev spec for interpretation
%
% Written by Dave Warren
nevheader =[];
spikeheader= [];
nevstimheader= [... |
function [ T ] = ZSR(X, Y, U, V, opt)
%%%%%%%%%%%%%%%%%%%%%%
% set default values
%%%%%%%%%%%%%%%%%%%%%%
if ~isfield(opt,'beta') || isempty(opt.beta), opt.beta = 2; end;
if ~isfield(opt,'omega') || isempty(opt.omega), opt.omega = 0.7; end;
if ~isfield(opt,'lambda') || isempty(opt.lambda), opt.... |
I = imread('DinosaurPrints.jpg');
I = rgb2gray(I);
I = im2double(I);
%figure;
I = imresize(I, 1/3);
figure, subplot(1, 2, 1), imshow(I);
%Ic = edge(I, 'canny', [0.20 0.25], 16);
%subplot(1,2,2), imshow(Ic), title('Canny Filter [0.20 0.25], 16')
nl = colfilt(I, [100 100], 'sliding', @findPrint);
subplot(1, 2, 2), imsh... |
delta0=6.8323;
%delta0=8; <====== check for T*0.7
%delta=[0.8*delta0 0.9*delta0 delta0 1.1*delta0 1.2*delta0 1.3*delta0]; T=0.55*delta;
T=[0.55*delta0 0.6*delta0 0.65*delta0 0.72*delta0 0.8*delta0 0.85*delta0]; delta=delta0*ones(1,6);
snr=zeros(1,6); lenbits=zeros(1,6);
for ia=1:6
qcf=quanTHD(sub,T(ia),delta(... |
function test_predict()
%c = predict(Theta1, Theta2, X);
c = predict(ones(3, 8), ones(1, 4), ones(9, 7));
assert(c, ones(9, 1));
c = predict(ones(3, 8), ones(1, 4), magic(7));
assert(c, ones(7, 1));
c = predict(-1/170*ones(3, 8), -1/3*ones(1, 4), magic(7));
assert(c, ones(7, 1));
pre... |
addpath('jsonlab')
basedir = '/run/user/1000/gvfs/sftp:host=ipns.compute.dtu.dk/home/sdka/data/actigraph/';
file_list = getAllFiles(basedir);
for i=1:length(file_list)
file = file_list{i};
[pathstr,name,ext] = fileparts(file);
[~,sub_name,~] = fileparts(pathstr);
if strcmp(ext, '.gt3x')
d... |
function Y = KANG_FFC(janela)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
N = length(janela);
teta = 2*pi/N;
Xre = 0;
Xim = 0;
for m = 0:N-1
Xre=Xre + (2/N)*janela(m+1)*cos(teta*m);
Xim=Xim - (2/N)*janela(m+1)*sin(teta*m);
end
for m = 0:N/2-1
Xre_odd =... |
%Operadors morfologics
%%%sang
clc;
I = imread('blood5.tif');
B = I < 128;
F = imfill(B,'holes');
%imshow(F);
radi = 6;
SE = strel('disk', radi);
E = imerode(F, SE); %erosionem la imatge F
%figure;imshow(E);
E = imerode(E, SE); %apliquem una altra erosio
%figure;imshow(E);
%%% cafe
I = imread('cafe.tif');
B = I < 16... |
classdef Processor < handle
%PROCESSOR Summary of this class goes here
% Detailed explanation goes here
properties
minV = -20;
end
methods
function [T,V,invalid] = getVelocities(this, t, Vms, distances)
nruns = length(Vms);
if isscalar(dis... |
% add QSM.m to path
run('/path/to/QSM.m/addpathqsm.m');
% Philips PAR/REC or XML/REC
filename = '/path/to/input/file.par/or/file.xml';
outpath = '/path/to/save/results';
% Constants for normalizing phase
B0 = 3;
GYRO = 267.513;
% Load dataset
[hdr, data] = parxrec(filename);
mag = data(:,:,:,:,1); % for multi-ec... |
function [mOS, plotst,condst] = calltestUnequal(f,COND,ANLYZ,mEq)
curs = f.UCUR(COND,:);
m3 = f.ms(ANLYZ,curs(1));
m4 = f.ms(ANLYZ,curs(2));
[mOS, plotst, condst] = testUnequal(m3,m4,mEq);
plotst.conds = curs;
end |
function opt = NP_getOpts(subjID,varargin)
% Function to get struct with default analysis pipeline options
% example:
%
% Example 1:
% opt = getOpts('verbose', false)
% Example 2:
% opt = getOpts('foo', true)
opt.subjID = subjID;
% --- GENERAL ---
opt.verbose = true; % General
opt.plo... |
function something = signchange(xfunc, yfunc)
something = find((yfunc(1:end-1)>0 & yfunc(2:end) < 0) | (yfunc(1:end-1)<0 & yfunc(2:end) > 0) );
end
|
%
%
%
%
% DHO, 8/10.
%
classdef BTStimTimingArray < handle
properties
mouseName = '';
sessionName = '';
sessionType = '';
trim = [2 20]; % The number of trials to trim from beginning and end.
performanceRegion = []; % Beginning and ending behavioral trial numbers for b... |
function [lambda1,fval,exitflag1,output1] = solveLambda1(vawt, iTSR, ith, alphaAnt)
%SOLVELAMBDA1 Solve interference factor at an azimuthal angle
% position
%
% [lambda1,fval,exitflag1,output1] = vawt.solveLambda1(iTSR, ith, alphaAnt)
% returns the interference factor (lambda1) for the gi... |
clearvars
DIR='Parte_2/';
IMAGEN=imread(strcat(DIR, 'face04.ppm'));
K=4;
%Modelo HSV
HSV=rgb2hsv(IMAGEN);
minValue=min(min(HSV(:,:,1)));
maxValue=max(max(HSV(:,:,1)));
[vls pks]=findpeaks(imhist(HSV),'minPeakDistance',floor(255/K*.5));
semillas=pks(1:K)/255;
imagen_k_hsv= bayes(K,HSV,semillas);
% imshow(hsv2... |
function [E] = solve_l1l2(W,lambda)
% SOLVE_L1L2 Vectorized implementation of the prox operator of the l1l2 norm
%
% Mehdi Bahri
% Imperial College London
% August, 2016
E = W*diag(max(1 - lambda ./ diag(sqrt(W'*W)), 0));
end
% function [E] = solve_l1l2(W,lambda)
% n = size(W,2);
% E = W;
% for i=1:n
%... |
clear all; close all; clc
addpath('../modules/configs');
datapaths = configPaths();
ID = 'img_5976'; % filename
instanceData = loadInstance(datapaths,ID);
load('tmpLabImg');
addpath('../modules/myregionmerging');
opt.sensitivityMerging = 0.9; % 0 ~ 1
opt.minSize = 0.9;
zzz = cat(3,instanceData.spweight,instanc... |
classdef RigidBody < CoordinateFrame
% A coordinate frame that is rigidly attached to the CoM position of
% a rigid link. In addition, this class also stores the mass and
% inertia of the rigid link to which the frame is attached.
%
% Copyright (c) 2016-2017, AMBER Lab
% All right reserved.
... |
function res = IF(condition, true_action, false_action)
% substitutes C++ like ? operator. When either of actions can be evaluated only if condition holds/doesn't hold, it needs to be passed as function handle.
%
% Usage - simple: x = IF(a>b, 1, 0);
% Usage - deferred evaluation: x = IF(~isempty(a), @()a(1), 0); % ... |
clear all; close all; clc;
delete(instrfind({'Port'},{'COM15'}))
telapsed = 0;
strfile = sprintf('wearable_%s.txt', datestr(now,'mm-dd-yyyy HH-MM'));s = serial('COM15','BaudRate',115200); s.ReadAsyncMode = 'continuous';
fid = fopen(strfile,'wt');
fprintf( fid, '%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s\n... |
function mm=meannonan2(x)
notin=isnan(x) | isinf(x);
[row,column]=find(notin);
index=[1:length(column)];
for ii=index
colvals=x(:,column(ii));
colvals(row(ii))=[];
meancol=mean(colvals);
x(row(ii),column(ii))=meancol;
end
mm=mean(x); |
clear classes
clear all
close all
camara = gigecam(1);
set(camara, 'LightSource', 'ExposureActive');
set(camara, 'LightBrightness', 100);
set(camara, 'ExposureTime', 100);
%%
close all
corrida = 0;
%%
corrida = corrida + 1;
N = 1000;
picos = [];
for i = 1:N
foto = snapshot(cam... |
function bins = binarray(myarray,numbins)
bins = linspace(min(myarray),max(myarray),numbins+1);
return
end |
function sig = genStSignal(m,n,nu)
% generate student's t signal with freedom nu
sig = zeros(n,1);
ids = randperm(n,m);
val = trnd(nu,m,1);
sig(ids) = val ;
|
% University of British Columbia, Vancouver, 2017
% Alex Kyriazis
% William Choi
% Main entry point into the cell segmentation process. The result of this
% is a setting of the internal properties of dpimage to reflect the new
% information gathered about the cells.
% The critical parameters that must be modified... |
function [mask,accuracy] = getmask(weight,x,y,net)
momentum = 8;
idim = size(x,2);
average = mean(x)';
% s_weight = [weight rank]
[s_weight] = sortrows([weight [1:1:idim]'], 1);
accuracy = zeros(idim+1,1);
% mask = ones(idim,1);
accuracy(1) = mmse(sim(net,x')',y);
m_x = x;
for i = 1:idim
% Set ... |
function [header,headersize] = ReadAIHeaderAncient(fid)
% [header,headersize] = ReadAIHeaderAncient(fid)
% Read the acquisition header, from back before the type
% and version identifiers.
% The Labview that writes these headers is 'create AI binary header0.vi'
headersize = fread(fid,1,'uint32');
header.chstr = readLVs... |
%% SEIR Model ODE Equations
function Xdot = Yaws_ODE_File(t,X) %use your file name
%
global rho ...
betaONE ...
betaTWO ...
mu ...
alpha ...
gamma ...
proportion ...
epsilon ...
eta ...
theta ...
lambda ...
%% assign compartment names
... |
function [ mato ] = thrdmatmult(mat1,mat2)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
sz1 = size(mat1);
sz1 = sz1(3);
sz2 = size(mat2);
sz2 = sz2(3);
if(sz1 == sz2)
for i = 1:sz1
mato(:,:,i) = mat1(:,:,i).*mat2(:,:,i);
end
end
end
|
%% copy all figures to another directory
copyfile('figs/*.eps','C:/Users/NhatTan/Dropbox/Papers/GreenMetrics16/DCDR_adv/figs')
%% |
classdef MeshEdge
properties
nodeA
nodeB
facetA
facetB
length
end
methods
function obj = MeshEdge(nodes, facets)
if (nargin > 0)
obj.nodeA = nodes(1, 1);
obj.nodeB = nodes(2, 1);
obj.length = ((... |
function phys = Convection1d_Solver(phys)
[rk4a, rk4b, rk4c] = getRK_coefficient;
% set time interval
xm = abs(phys.mesh.x(2) - phys.mesh.x(1));
CFL = 0.3;
dt = CFL*min(xm./phys.u(1), xm.^2/sqrt(phys.Dx));
time = 0; outStep = 0;
resT = zeros(size(phys.var));
FinalTime = phys.ftime;
var = phys.var;
Np ... |
function folderName = get_folder_to_use(folderResult)
%GET_TASK_PERFORM Summary of this function goes here
% Detailed explanation goes here
[~,folderName,indx] = uigetfolder;
end
|
function [ frictionSolver ] = initFrictionSolver( obj )
%INITFRICTIONSOLVER Summary of this function goes here
% Detailed explanation goes here
if obj.option.isKey('FrictionType') % the option exist
switch obj.getOption('FrictionType')
case enumSWEFriction.None
frictionSolver = NonFrictionTer... |
load("datasetA.txt");
load("datasetB.txt");
% mixmodel(datasetA, 3, 1000)
mixmodel(datasetB, 3, 0)
|
function [phan, map] = loadMaterialsPhantom( p )
% Load materials and density defined Phantom
%
% Meng Wu at Stanford University
% 2014 - 2015
fprintf(['Loading material phantom "' p.Phantom.materialsFileName '" with material mapping "' p.Phantom.materialMappingName '"... ']);
%% read phantom matreial data file
[pha... |
function makeCurrentFigures(currentVals,indices,networknames,legendnames,network,path)
%%
figure
pos = [0.1 0.55 0.38 0.4];
subplot('Position',pos)
ww = indices(1);
plot(currentVals(ww).t_lags,mean(currentVals(ww).C(:,1:2000),2),'Color',[0.7 0.7 1],'linewidth',2)
hold on
ww = indices(2);
plot(currentVals(ww).t_lags,... |
function op_plottrace_behavior(xls_path,posdiff,path)
data = xlsread(xls_path);
pos(:, 1) = data(:, 2);
pos(:, 2) = data(:, 3);
posdiff = logical(data(:, posdiff));
NumPos = size(pos,1);
figure;hold on
for i_pos = 2 : NumPos - 1
posbef = pos(i_pos,:);
posaft = pos(i_pos + 1,:);
if (posdiff(i_pos + 1) || po... |
function plot_dispersion_relation(H1, H2, m2, m3, s1, s2, Q, fk)
%PLOT_DISPERSION_RELATION Plots the dispersion relation
% Plots the dispersion relation for given parameters and a final f
% value.
if nargin < 8
fk = 1;
end
nf = 101;
omega = zeros(2,nf);
k = lin... |
% jiangjian@eegion.com
% 2021-03-24
% HR plot
t=0-eeg3;
[b,a]=butter(2,1/(500/2),'high');
t2=filter(b,a,t);
[pks,ind]=findpeaks(t2,'MinPeakProminence',0.05,'MinPeakDistance',200);
del_i=[];
for ii=1:length(pks)
if pks(ii)<0 || pks(ii)>0.3
del_i(end+1)=ii;
end
end
pks(del_i)=[];
ind(del... |
%Sarahi Ruvalcaba
vt=input('Introduce tu ventana de tiempo: ');
vi=input('Introduce el monto inicial a invertir: ');
P=xlsread('google','precios','e2:e1250');
d=length(P);
MA=zeros(d,1);
GP=zeros(d,1);
A=vi/P(1);
C=vi;
cont=2;
for j=vt:d
aux=0;
for i=j-vt+1:j %Uso de la ventana, contador "hacia atras"
... |
t=-10:0.01:0;
x=exp(2*t);
w=-10:0.01:10;
for j=1:length(w)
Xjw(j)=(sum(x.*exp(-i*w(j)*t)))*0.01;
end
%plot x(t)
subplot(311);
plot(t,x);
title('x(t)=e^(at)u(-t), a>0');
%plot magnitude spectrum
subplot(312);
plot(w,abs(Xjw));
title('Magnitude spectrum');
xlabel('frequency w');
ylabel('|X(jw)|');
%... |
function defaultarg(varargin)
[hasval, flagind] = ismember('-value', varargin);
if hasval
default_val = evalin('caller', varargin{flagind+1});
varargin = varargin(setdiff(1:end, flagind+[0,1]));
else
default_val = [];
end
for i=1:numel(varargin)
if ~evalin('caller', ['exist(''' varargin{i} ''', ''var... |
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