text stringlengths 8 6.12M |
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test_image = rgb2gray(im2single(imread('../data/Notre Dame/4191453057_c86028ce1f_o.jpg')));
hold on;
figure(1);
colormap(gray)
axis equal;
axis off
imagesc(test_image);
[x, y, confidence] = get_interest_points(test_image, 16);
plot(x,y,'*');
title('Interest points detected using connected components');
set(gca,'YDir',... |
function [error1,error2,error3] = findErrorOverPaths(plotFig,fignum,plotName,ad1,ad2,ad3,ad4,bd1,bd2,bd3,bd4,cd1,cd2,cd3,cd4,dd1,dd2,dd3,dd4,ed1,ed2,ed3,ed4,fd1,fd2,fd3,fd4)
% error = findDistanceErrors(plotBar,ad1,ad2,ad3,ad4,bd1,bd2,bd3,bd4,cd1,cd2,cd3,cd4,dd1,dd2,dd3,dd4,ed1,ed2,ed3,ed4,fd1,fd2,fd3,fd4)
%
%
dt... |
%*********************************************************************
% Theory of the Hilbert Spectrum: Code Examples for Reproducible Research
%*********************************************************************
%
% Description: This Demo file shows various visualizations for the
% Simple AM Component... |
function [ results ] = ...
execute_show( show, config, ...
track_config, novelty_config )
if( nargin < 2 )
config = config_getdefault;
end
if( nargin < 3 )
track_config = [];
end
if( nargin < 4 )
novelty_config = [];
end
tic;
show ... |
%
% initialize_SpFreqWindows.m
%
% This function is called once when intializing the spFreq_windows array at
% the beginning of the main function.
%
% Explanation of variables:
% windows - the structure that contains all the information
% surrounding windows.
% amp_window... |
global gam bet... % preference parameters
rk rh eta... % production parameters
dk dh... % depreciation rates
k % curvature of alpha functions |
function phaseout = parameterizedDynamics(input, weights, iocObject)
w = weights'; w = w/sum(w);
x = input.phase.state;
u = input.phase.control;
t = input.phase.time;
% Compute current time increase and update value in iocInstance
dt = t(2) - t(1);
iocObject.dt = dt;
dof... |
clc, close all, clear all
Po=[1 0 1 1 0 0 1 1 1 0 0 1 1 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0];
P=[0 1 0 0 1 1 0 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1];
b=-0.5; alpha=0.1; w=[1, 0]; l=length(Po); hold on
for i=1:l
a=hardlim((w(1)*Po(i))+(w(2)*P(i))+b);
w(2)=w(2)+(alpha*a*P(i));
scatter(i,w(2)... |
function [J, grad] = costFunctionReg(theta, X, y, lambda)
%COSTFUNCTIONREG Compute cost and gradient for logistic regression with regularization
% J = COSTFUNCTIONREG(theta, X, y, lambda) computes the cost of using
% theta as the parameter for regularized logistic regression and the
% gradient of the cost w.r.t. ... |
function color = rew_color()
color = [159, 54, 41]/255;
end |
%% Prueba mapas
clc
clear all
close all
% figure
% set(gcf,'numbertitle','off','name','Imagen entrada')
img = imread('img/dog.jpg');
r = double(img(177:1200,897:1920,1));
g = double(img(177:1200,897:1920,2));
b = double(img(177:1200,897:1920,3));
% img = imread('img/portada.jpg');
% r = double(img(177:1200,:,1));
... |
clc;clear all;close all
%DCT Image Compression
[x,y] = uigetfile('*.jpg*','select the grayscale image'); % here ...x=filename;y=pathname
filewithpath=strcat(y,x);
imgtemp =imread(filewithpath);
originalimage=imgtemp;
img=originalimage;
%checking for colored image
imgr = rgb2gray(originalimage);
figure
imshow(... |
function [FE, eigE, AM, groupSizes, eigVec] = spectralMethod(trajData)
% change this parameter according to model
d = 4;
% spectral method runs on same number of grid points as trajectory
D = trajData.D; N = trajData.N; T = trajData.T;
Dmat = zeros(d*N); Mmat = zeros(d*N);
for i = 1:N
... |
%% QUICKTE - quick transfer entropy calculation
% Calculates the transfer entropy between two variables. The data can be
% continuous or discrete. If the data is single trial, the transfer
% entropy is calculated through time. If the data is trial based, the
% transfer entropy is calculated at each time point in th... |
function[fX,CX] = Arianne1(me)
% Constantes
k = [0.1101;0.1532;0.2154];
ve = [2647.2;2922.4;4344.3];
mv = 1700;
V = 11527;
% Critère
fX = sum((1+k).*me) + mv;
% Contraintes
Mf = [mv + (k(3)+1)*me(3) + (k(2)+1)*me(2) + k(1)*me(1);
mv + (k(3)+1)*me(3) + k(2)*me(2);
mv + k(3)*me(3)];
CX = sum(ve.*log(1+me./M... |
% inIntense.m
% finds intensity in inner ROI
% Inputs:
% img = image for intensity measurement
% BWinner = binary inner ROI
% r = row outline locations
% c = column outline locations
% kSize = ROI size
%
% Outputs:
% innerIntensity = vector of intensity values
%
% Written by Carolyn Pehlke
% Laboratory for Optical and... |
function[y2]=awgnbinary(y,s)
%y=awgnbinary(y,snr)
y2=awgn(y,s);
[r,c]=size(y2);
% th=sum(sum(y))/numel(y);
th=.5;
for i=1:r
for j=1:c
if y2(i,j)>th
y2(i,j)=1;
end
if y2(i,j)<=th
y2(i,j)=0;
end
end
end
end |
function [Jforce,Mforce,Jdispl,Mdispl] = ...
truss3(n,m,joint,assembly,forceJ,stretch,index)
%
% THIS COMES FROM THE SILVERBERG MATLAB TOOLBOX, I DID NOT WRITE IT
% It is included to be used with my simulated bridge file
%
% truss3 solves space truss problems.
% truss3 calculates:
%
% ... |
clear all;
close all;
Maire = 4;
nbSymb = 8;
Fd = 2000; % le débit symbole
Fe = 16000; % Fréquance d'échantillonage
nbEchan = Fe/Fd; % Nombre d'échantillons par symbole
Td = 1/Fd; % Temps symbole
Te = 1/Fe; % Temps échantillon
T = 1; %seconde
Fp = 1/T; % nombres des pulses per seconde
seqEng = ran... |
function res = normal( X, sigma, mu )
% Computes the likelihood that the data X have been generated from the given
% parameters (mu, sigma) of the one-dimensional normal distribution.
% TODO fill out this function
res = exp( -sum((X-mu).^2./(sigma^2))/2 )/sqrt((2*pi*(sigma^2))^size(X,1)); |
% SB9, SB8, SB7, AND SB6.
% Juan Carlos Martinez
% February 8th, 2015
% Last Update: February 11th, 2015
sb9='SB9.csv';
sb8='SB8.csv';
sb7='SB7.csv';
sb6='SB6.csv';
sb9table=readtable(sb9);
sb8table=readtable(sb8);
sb7table=readtable(sb7);
sb6table=readtable(sb6);
speedsb9=table2array(sb9table(:,2));
speedsb8=table2... |
syms y(x);
eqn = diff(y, x) == 3*x + y/2;
functionalValue = @(x, y) 3*x + y/2;
xAxisValues(1)=input('Enter the initial x: ');
yAxisValue(1)=input('Enter the initial y: ');
cond = y(xAxisValues(1)) == yAxisValue(1);
calculatingValue=input('Enter the calculating value: ');
h=input('Enter step size h : ');
numberO... |
% script to load and plot data from Bullock/Day study.
clear
close all
rootfolder = fileparts( mfilename('fullpath'));
datafolder = fullfile(rootfolder,'noblesville_data');
matlabdatafile.G = fullfile(datafolder,'G');
matlabdatafile.veharrivals_agg = fullfile(datafolder,'veharrivals_agg');
matlabdatafile.veharrivals_... |
function W = morlet_wavelet(t,fc,sigma_tc)
% MORLET_WAVELET: Returns the complex Morlet wavelet for a specified central frequency and
%
% USAGE: W = morlet_wavelet(t,fc,sigma_tc)
%
% INPUTS:
% - t : timepoints where the wavelet will be calculated
% - fc : central frequency
% - sigma_tc: sta... |
function [ Zsurf ] = phase2surf( p,z_light,z_sensor,x1,x2,y1,y2,h,A1,A2,B1,B2 )
%==========================================================================
%function used data collected when parallel light rays shoot down onto a
%to reconstruct an unknown flat surface
%-----------------------------Inputs-----------... |
function newBoxes = expandBoundingBox(Boxes, scaleFactor, Isize)
size(Boxes);
numBoxes = length(Boxes);
for bLoop = 1:numBoxes
CurrentBox = Boxes(bLoop).BoundingBox;
% X-coordinate of bounding box's upper left corner - (width of region*scaleFactor)
newLeft = CurrentBox(1) - round(CurrentBox(3) * s... |
function saverseqdata6(projname)
input_dir = '/public/home/ciac_liwb/metabolism/rnaseq2/';
file_name = [input_dir projname '.txt'];
load('gly_tcaop_ge2.mat','gly','tcaop');
[rdata1,genes1,sample1] = extractrseqdata2(file_name,gly);
[rdata2,genes2,sample2] = extractrseqdata2(file_name,tcaop);
data_sign1 = ones(1,leng... |
function result = sig_ilddistfun_nlinfit(beta,dist_ild);
%Order of beta:
%beta(1) : width or sigma of gaussian
%beta(2) : height of the sigmoidal part of the function
%beta(3) : beta for sigmoid2
%beta(4) : shift for sigmoid2
%beta(5) : maximal activity
equation = normpdf(dist_ild,0,beta(1)) + sigmoid2(dist_il... |
%%% Model first developped by of Scranton & Vasseur 2016 (Theor Ecol.)
%%% Script by Picoche & Barraquand 2018
%%% This script draws Fig.1 of the article (temperature and biomass time
%%% series)
clear all; close all; clc;
ylast=2*365; %Will look at the last two years
thresh_min=10^(-6); %below the threshold, species... |
function recordOutput(whichHalf, pressurePoint, data, savefilename)
global pressureSum
global count
global calInfo
global calInfoFile
array = reshape(data, 32, 32);
pressureSum = pressureSum + array;
if count == 100
pressureMean = pressureSum./100;
if strcmp(wh... |
%LA3
%________________FUNCTION 1_____________
subplot(2,1,1);
%To see the graphs I shared, make the step value 0.01 and final value 2
step = input('For the FIRST equation: \nPlease enter a step value:\n');
final_x = input('For the FIRST equation: \nPlease enter a final x value:\n');
x= [0:step:final_x]; %initialize... |
clear
close all
%% variables that you could change
ap.num = 36; % the number of access points (must be square of interger)
grid.num = 900; % the number of fingerprinting grids (must be square of interger)
ue.density = ap.num; % the density of user equipments
ap.tx_power = 0.2*ones(1,ap.num); % the tx power of a... |
function n_opt = AMIGO_lcurve_curvature(X,R,alpha,plot_flag)
%AMIGO_lcurve_curvature(X,R,alpha) computes the optimal regularization parameter
% based on the L-curve maximal curvature detection method.
%
% Inputs:
% R residuals matrix, each column corresponding to the regularization parameter.
% X solution mat... |
function qimage=dctquantise2(X,qstep)
Qtable=qstep*(1/10)*[16 11 10 16 24 40 51 61; 12 12 14 19 26 58 60 55; 14 13 16 24 40 57 69 56;
14 17 22 29 51 87 80 62; 18 22 37 56 68 109 103 77; 24 35 55 64 81 104 113 92;49 64 78 87 103 121 120 101;72 92 95 98 112 100 103 99];
[m,n]=size(X);
qimage=zeros(m,n... |
% Testing of the system model - ASK DARWIN
%
% Author : Jonathan EDEN
% Created : 2016
% Description :
classdef SystemModelTest < matlab.unittest.TestCase
% Create the model objects for testing
properties (ClassSetupParameter)
model_config_type = struct('SCDM', 'test_SCDM', ...
... |
function A = Aq(q,u)
A = [0 1; 10 0]+[0;-10]*[1 0];
end |
function [x f Eprime] = staCMR (data, E)
% data is cell array of data or structured output from staSTATS
% E is partial order
% returns:
% x = best fitting CMR values to y-means
% f = fit statistic
tol=10e-5;
if nargin == 1
E = {};
end
if isempty(E)
E = {};
end
if ~iscell(data)
y = outSTATS ... |
function arrSlice = cadProcessing(workingDir, first, last)
tic
imagesDir = 'images';
imageNames = dir(fullfile(workingDir, imagesDir, '*.dcm'));
imageNames = {imageNames.name};
f1 = 'images';
f2 = 'detected';
f3 = 'metrics';
f4 = 'textureFeatures';
f5 = 'depth';
f6 = 'rank';
... |
clear
clc
tic
%--------------------------------------------------------------------------
% initial values
% Number of iterations and samples
n = 20000;
% Number of Experiments
T = 1000;
% SNR_db : [5 10 15 25]
SNR_dB = 5;
% L is length of Filter
L = 16;
% Mu is step size parameter for LMS algorithms
... |
%--------------------------------------------------------
%pad the image to make height and width multiples of N
%--------------------------------------------------------
function y = pad_image(x,N)
[ht,wt] = size(x);
padcol = N-mod(wt,N);
if(padcol ~= N) %need padding
padleft = floor(padco... |
function B=bilinear_basis_functions(x, y, x0, y0)
x=double(x); y=double(y);
[xg, x0g]=ndgrid(x(:), x0);
[yg, y0g]=ndgrid(y(:), y0);
if length(x0) > 1
Bx=sparse([], [], [], size(xg, 1), size(xg,2), min([length(x0) 4])*length(x));
delta_norm=(xg(:, 1:end-1)-x0g(:, 1:end-1))./(x0g(:, 2:end)-x0g(:, 1:end-1));
... |
%Usage:
%[M]= fnPerformanceMeasure(bestNet, actualNet)
%Inputs:
%bestNet: the inferred network
%actualNet: the actual netwrok or the benchmark network used to compare the inferred network
%Output:
%M: vector of performance metrics
function M= fnPerformanceMeasure(bestNet, actualNet)
%DOING PERFORMANCE MEASURES
[n m... |
classdef ORB < vicos.keypoint_detector.OpenCvKeypointDetector
% ORB - OpenCV ORB keypoint detector
%
% (C) 2015-2016, Rok Mandeljc <rok.mandeljc@fri.uni-lj.si>
properties
implementation
upright
end
methods
function self = ORB (varargin)
% self = ORB... |
%% Stelling 11
%
% De onderstaande code maakt een bestand genaamd 'output.asc'
% met door een mens leesbare tekst.
%
% ======= Code =======
% tijdvector = 0:0.01:3 ... |
%%question 1
%%this function reduces all the intensities in the image below t to 0,
%%otherwise sets them equal to 255
function out = intthreshold(image, t)
out = (image > t )*255;
end
|
%Question 2
clc;clear;
fun = @(R) (sqrt(2*R/(1+R))-1) + sqrt(1/R)*(1-sqrt(2/(1+R))) - (sqrt(2)-1)*(1+sqrt(1/R));
R0 = 1;
Ra = fsolve(fun,R0);
S = [2;5;10;11;12;15];
for i = 1:length(S)
funb = @(R) (sqrt(2*R/(1+R))-1) + sqrt(1/R)*(1-sqrt(2/(1+R))) - ((sqrt(2*R*S(i)/(1+R*S(i)))-1) + sqrt(1/(R*S(i)))*(s... |
function f = continuousObjective(x)
%Decision variables
% nrot L b, C, theta0, thetaMin, Airfoil
%Fixed variables
R = 0.5;
omega = 600; %RPM = 4774
g = 9.8;
%Decision variables
nrot = x(1);
L = x(2);
b = x(3);
C = x(4);
theta0 = x(5);
thetaMin = x(6);
airfoil = x(7);
if airfoil == 0
datum = load('NACA0012... |
function stZ = sola(varargin);
% stZ = OVERLAPADD(stX, stY)
% stZ = overlapadd(stX, stY, maxoffset)
%
% stX : structure form
% stX.vec = signal
% stX.i1 = beginning index
% stX.i2 = ending index
%
% Example)
% stX.i1 = 101; stX.i2 = 180; stX.vec = sin( (stX.i1:stX.i2)/5 );
% stY.i1 = 130... |
%
% Dados do arquivo
%Wp=400;
%Hp=300;
% Dados da camera
alpha=75*pi/180;
% Dados da geometria
S0=0.20;
save('data.dat','alpha','S0')
|
classdef class4
%wszystkie obliczenia wykonywane sa w konstruktorze
properties
f0
B3
R
Q0
Q
w0
L
C
A0
A
end
methods
function o = class4(p1,p2,p3,p4)
o.f0 = p1;
o.B3 = p2;
o.R = p3... |
clear all
close all
clc
%% Ejercicio 4
% Aplicar el método del punto fijo a la función f = x^7 +11x -1
% Declaramos la funcion
f = @(x) x.^7 + 11.*x -1;
%% Vamos a buscar primero un candidato a cero
x = -1:0.001:1;
y = f(x);
figure;
plot(x,y)
% El "cero" ronda c = 0 (0.0909... según Wolfram)
%% Hacemos una prueba
%... |
A=[3 -0.1 -0.2; 0.1 7 -0.3; 0.3 -0.2 10];
b=[7.85; -19.3; 71.4];
n=size(A,1);
x = EliminacaodeGauss(A, b, n);
fprintf("O resultado encontrado:");
display(x);
function x = EliminacaodeGauss(A, b, n)
for k=1:n-1
for i=k+1:n
M = A(i,k)/A(k,k);
A(i,k) = 0;
for j=k+1:n
... |
clear; clc; close all;
global t;
global y;
load('matlab.mat')
y1 = y(:,1);
Ts = 0.001;
T = 0.001;
cost_max = 0.6;
confidence = 1.0;
reward = 0;
penalty = 0;
subplot(2,1,1)
plot(t, y1);
hold on;
% initial point
cost = period_to_cost_map(T, t, y1);
scatter(T, cost)
title('Input-Cost Mapping')
% first trial
T = T... |
%% MathPendel_Bearbeitungsfile.m
% - Systemmatrix erstellen
% - Anfangsbedingungen einsetzen
% - Loesung der Gleichung mit verschiedenen numerischen Verfahren
% berechnen
% - Lakale und Globale Fehler berechnen
% - Zeitschritte optimieren und vergleichen
% -----------------------------------------------... |
function [newimg] = focusOnCenterWeighted(img,p_threshold_density,window,slide)
width = size(img,2);
height = size(img,1);
colordepth = size(img,3);
windowsize = window*window;
centerwidth = width/2;
centerheight = height/2;
maxdistance = ((width/2)^2+(height/2)^2)^.5;
newimg = img;
window_r = 0;
window_g = 0;
window... |
figure;
Compo = 10;
for k = 1:Compo
x = Y(:,k);
x = x/max(x);
x = reshape(x,[192,168]);
subplot(1,Compo,k);imshow(x);
end
% clc;close all;clear all;
% load data.mat;
x = Y(:,2);
% z = min(x);
% x = x-z;
% x = x./max(x);
% x = reshape(x,[192,168]);
% figure; imshow(x); |
function model = xacmes_buildModel_SVR(cur_state,coeff)
global algo;
N = cur_state.N;
aSZ = algo.aSZ;
if (0)
ARX = algo.ARX;
ARF = algo.ARF;
end;
if (1)
ARneval = algo.ARneval(1,1:aSZ);
[ARneval, arindex] = sort(ARneval,2,'ascend');
ARX = algo.ARX(:,arindex);
ARF = algo.ARF(1,arindex);
end;
in... |
%{
Copyright (c) 1995-2010 Peter Kovesi
Centre for Exploration Targeting
School of Earth and Environment
The University of Western Australia
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 ... |
clear all; close all hidden; clc; %#ok<CLALL>
try
% Setting random generator seed and state
load('s.mat');
rng(s);
fig_num=99;
USB_ch=1;
IAC = -1;
FS_tag = 3;
Fs = 48828.125;
[f1RZ,RZ,FS]=load_play_circuit(FS_tag,fig_num,USB_ch,0,IAC);
... |
nested_dissection_block_structure_base;
text( (part1+0)/2, (part1+0)/2, 'V_1', 'HorizontalAlignment','center', 'VerticalAlignment', 'middle')
text( (part2+part1)/2, (part2+part1)/2, 'V_2', 'HorizontalAlignment','center', 'VerticalAlignment', 'middle')
text( (N + partS)/2, (N + partS)/2, 'S_0', 'HorizontalAlignment','c... |
function [y,x,noise,sigma,outliers] = spectMixGen(M,samp_size,varargin)
%%
% Usage:
% [y,x,noise,outliers] = spectMixGen(M,samp_size,varargin)
%
% This function generates a simulated spectral data set
%
% y = M*x+noise
%
% where M is the mixing matrix containing the endmembers, x is the
% the fractions (sources) of... |
%-------------------------------------------------------------------
% This program: load the excel file
% read the task time table grouped by desks
% write the task arrive interval into excel files
%
% Please put the .xlsx file in the same folder with this program
%------------------... |
function [ Ncell, EToV ] = InitLineConnect1d(N)
%InitQuadConnect2d - Description
%
% Syntax: [ Ncell, EToV ] = InitQuadConnect2d(input)
%
% Long description
Ncell = N;
EToV = zeros(2, Ncell);
for sk = 1:Ncell
EToV(:, sk) = [ sk, sk+1 ]';
end
end |
function draw_shifthistogram
xr = -60:60;
function m = plot_shift(r,plt)
x = r.agr.shifts;
h = histc(x,xr);
h = conv(h,hamming(5),'same');
plot(xr,h,plt)
m = max( h );
end
mx = 0;
r = load('results/agres_all-mean_21-Sep-2014.mat','agr');
mx = max( mx, plot_shift(r,'k'... |
function calcToa = signalToa(sig1, sig2, ch1, ch2, Fs, pf, db)
% % frequency values are read in at in hz
% % number of values read in
L = length(sig1);
if L/2 ~= round(L/2)
L = L-1;
sig1 = sig1(1:L);
sig2 = sig2(1:L);
end
%% plotting the output wave
if db
figure()
t = 1:length(sig1);
plot(t, ... |
% Test Cases:
[str1] = luge('Albert Demchenko-208.00-Felix Loch-207.53-Armin Zoeggeler-208.80');
[str1_soln] = luge_soln('Albert Demchenko-208.00-Felix Loch-207.53-Armin Zoeggeler-208.80');
% str1 => Felix Loch is the winner of the 2018 Olympics for luge, with a time of 207.53 seconds!
%
[str2] = luge('Addison-453.2... |
function Y = iqfft2(X, A, L)
% IQFFT2 Inverse Discrete quaternion Fourier transform.
%
% This function calculates the inverse fast quaternion 2D Fourier transform
% of X. The second parameter, A, specifies the transform axis (that is the
% direction in 3-space of the vector part of the hypercomplex exponential).
% It m... |
function [freq,y]=WZM_SP(par,varnames,...
params_const, varnames_const,...
sp_fname,par_fname,params_const_fname,bat_fname,raw_fname)
% y=LPF7_SP(p,sp_fname,par_fname,bat_fname,raw_fname)
% Funkcja obliczająca przy pomocy NgSpice wartości
% |Av(f)| dla wartości f zapisanych w pliku analizy układu
% Wartoś... |
function [F] = empcdf(X, t)
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
N = length(X);
F = zeros(N,1);
for i = 1:length(t)
F(i) = (1/N)*sum(X<=t(i));
end
end
|
function [TS]=MOCplottersata(start,stop,Plot,resolution,option)
close all
if nargin ~= 5 ;
disp('input error');
fprintf('input 5 variables: \n Start year, Stop year,\n Plot=1 or no Plot=0,\n Resolution 5 or 6km,\n Options:\n 1= Nautilus_fulltopo_nodiff, \n 2 = Iridis fulltopo full diff,\n Iridis Slope7 ')
end
gl... |
% Foundation Class: SYObject.
% Written by Satoshi Yamashita.
% The most fundamental superclass of all SY-classes, declaring principal
% methods.
classdef SYObject < handle
properties
end
methods
function obj = init(obj)
% Initialization method.
% obj = init(obj)
% Implemented by subclasses.
end
function delete... |
% 05-2012
% Victor Barres
% USC Brain Project
% Script to create the source wave for the dipoles
function data_sourceWave(varargin)
if isempty(varargin)
simName = getSimName();
else
simName = varargin{1};
end
simPath = sprintf('simulations\\%s',simName);
load(sprintf('%s\\dBoxcar',simPath));
load(sprintf('... |
function [ outSeq ] = expDecay( inSeq, days )
%EXPDACAY 指数衰减n天作为权重，影响后面的日子，加权平均
% 理论上，n->inf时， mv.expDecay(s, n) -> mv.expSmooth(s, 1 - 1/e)
% 程刚，20140913
%% 前处理
if ~exist('days','var'), days = 0; end
days = round(days);
if days<0, days =0; end
%% 挑出非nan的干净的inSeq, 并留下index
inSeq2 = inSeq(~isnan(inSeq))... |
close all;
clear variables;
% read in image
image=imread('koch.jpg');
% normalize the image into a normalized matrix [0, 1]
image=double(image)/255;
P=input('compression amount\n'); % ask for compression amount
[l,w,h] = size(image);
U = zeros(l,l,3);
S = zeros(l,l,3);
V = zeros(w,l,3);
img = zeros(size(image));
... |
% File: Connect.m @ FastObj
% Mail: johannesrebling@gmail.com
% Description: convenience function to have unified syntax
function Connect(Obj)
Obj.Open_Connection();
Obj.Reset();
% channels = Obj.channels();
%
% channels(1).inputrange = 10000; % [mV]
% channels(1).term = 1; % 1: 50 ohm termination, 0: 1MO... |
classdef Parallelization
% A bunch of methods related to IO operations on matreces.
methods(Static=true)
function machines = getTargetMachines()
machines = {};
targetMachinesUvanimor = 0:9;
targetMachinesLhug = [0:7 9:11];
for(i=targetMachinesUvanimor)
machines{end+1} = ['uvanimor-' ... |
function y = expgauss(beta0, x);
%beta0(1): peak
%beta0(2): exp tau
%beta0(5): center
%beta0(6): gaussian width
% 1/2*erfc[(s^2-tau*x)/{sqrt(2)*s*tau}] * exp[s^2/2/tau^2 - x/tau]
global gui;
global spc;
pulseI=spc.datainfo.pulseInt / spc.datainfo.psPerUnit*1000;
y1 = beta0(1)*exp(beta0(6)^2/2/beta0(2)^2 - (x-beta0(5)... |
% change_precision.m
% N_BLOKS
% BLOCK_SIZE
% N_SAMPLES
N_BLOCKS=1e3;
BLOCK_SIZE=1e1;
N_SAMPLES=N_BLOCKS*BLOCK_SIZE;
prec_spec=[N_BLOCKS,BLOCK_SIZE,N_SAMPLES];
%save precision.mat N_BLOCKS BLOCK_SIZE N_SAMPLES;
save precision.mat prec_spec; |
% loadData: Load data for an experiment, in a format
% compatible with test[method_name].m scripts.
%
% REQUIRES:
% The script uses the EXPERIMENT structure containing
% experiment parameters (see RUN_TESTS.m).
%
% RETURNS:
% Given a dataset name, the script should load the
% following matrices into memory :
%
% D - s... |
% Section 5 %
close all;
clear all;
[x, y] = meshgrid(0:0.005:1);
z = 1 - y - x;
RGB_709 = [0.64 0.3 0.15;0.33 0.6 0.06;0.03 0.1 0.79];
M_709 = RGB_709 * eye(3);
[m, n] = size(x);
XYZ = zeros(m,n,3);
XYZ(:,:,1) = x;
XYZ(:,:,2) = y;
XYZ(:,:,3) = z;
rgb = zeros(m,n,3);
for p = 1:m
for q = 1:n
rgb(p,q,:) = M_709... |
%{
Universidade Federal de Uberlândia
Faculdade de Engenharia Elétrica
Graduação em Engenharia Biomédica
Instrumentação Biomédica II
Decrição: Deve-se utilizar o gráfico do arquivo "Onda PAi-fl1.pdf" e
gerar um gráfico similar no MatLab e levantar as harmonicas dessa onda.
Docente: Eduardo Borges Gouveia
Di... |
function Y = ReLU(V)
Y = max(0,V);
end |
% fabberttest.m
% does a t test between two fabber datasets
% MT Cherukara
clear;
% specify this stuff
dname = '/gm_DBV.nii.gz';
fab1 = '114';
fab2 = '117';
% load the data
resdir = '/Users/mattcher/Documents/DPhil/Data/Fabber_Results/';
fdn1 = dir([resdir,'fabber_',fab1,'_*']);
fdn2 = dir([resdir,'fabber_',fab2,'_*... |
function varargout = image3gui(varargin)
% IMAGE3GUI M-file for image3gui.fig
% IMAGE3GUI, by itself, creates a new IMAGE3GUI or raises the existing
% singleton*.
%
% H = IMAGE3GUI returns the handle to a new IMAGE3GUI or the handle to
% the existing singleton*.
%
% IMAGE3GUI('CALLBACK',hObject... |
function [bin,xxx]=en_sub3d_sub2_sub(r,lB,nr,cr,cri,cfk,nck,thd)
%xxx=0;
binz=en_zone_new(r,lB,nr);
%[length(r) sum(r) length(binz)]
if round(thd/3)~=thd/3, typ=1; else, typ=2; end
if thd==2
[z1,cf11,cf12]=separate(cfk,thdh); cf11=cf11-thdh;
[cr1,k,r1,lB1,pr,nr1]=k_criterion(z1);
binz1=en_zone_new(r1,lB1,... |
function Data=drawLotto_LSRAmed(Data,trial,Win,Img)
% Data struct specifies the
% Trial specifies prob, val, ambig
% Probability for each color
if strcmp(Data.colorKey{Data.colors(trial)},'blue')
redProb=1-Data.probs(trial);
blueProb=Data.probs(trial);
elseif strcmp(Data.colorKey{Data.colors(trial)},'red')
... |
function [Img, time] = deblur_main( fileName, blurLevel, isResize )
%% The program interface for user
% INPUT
% fileName (string) the filename of blurry image
% blurLevel (scalar) the blurry level 1:small, 2:medium(default), 3:large
% isResize (scalar) whether to do resize. 1:... |
%confusionmatStats.m Example
a=randi(2,1,100);
b=randi(2,1,100);
stats=confusionmatStats(a,b); |
k=0.6;
xref=30;
x=0:0.5:100;
y=1./(1+exp(-k*(x-xref)));
plot(x,y);
grid on
|
function r = hessianinit(v,see)
%HESSIANINIT Initialization of hessian variable
%
% x = hessianinit(v)
%
%The independent variable(s) x are identified and initialized with value(s) v.
% v may be scalar for one independent variable, or vector (or matrix)
% for several independent variables.
%
%The call
%
% hessiani... |
function dGrf_heel_c2_dfx = dGrf_heel_c2_dfx(in1,in2,Fx,H,k,cmax,dmax,us,sampT)
%DGRF_HEEL_C2_DFX
% DGRF_HEEL_C2_DFX = DGRF_HEEL_C2_DFX(IN1,IN2,FX,H,K,CMAX,DMAX,US,SAMPT)
% This function was generated by the Symbolic Math Toolbox version 8.5.
% 30-Oct-2020 16:52:14
dGrf_heel_c2_dfx = Fx.*2.0;
|
function h = PlotRepeat(X,Y,pattern,varargin)
%PlotRepeat - Plot repeated (tiled) copies of the data.
%
% USAGE
%
% h = PlotRepeat(X,Y,pattern,<options>,<options2>)
%
% X abscissae
% Y ordinates
% pattern 'xxy','xyy' or 'xxyy' depending on repeated axes
% <options> ... |
function [matr] = ftn(arr, n)
% Summary: Generates matrix from row vector arr in which the nth column is
% the n-delayed version of arr
% Input: Row vector to shift, Number of maximal shifts
% Output: The generated [n x(length(arr)+n*Tc)] matrix
% Tc: Chip duration taken from global_constants.m
% Attention: NOT WORKING... |
function VMT_ExportFIG(path,fignum,BkgdColor,AxColor,FigColor,FntSize,Res,Format)
%This script exports the given figure and formats it according to the
%specified properties:
%BkgdColor: Background Color (outside of figure space)
%AxColor: Axes Color
%FigColor: Figure window color (inside figure Space)
%F... |
function MyDetectedImage = ImageDetections(MyImageName,MaskSize,ConvMasks,OutputName)
%IMAGEDETECTIONS uses the function parameters from My2dFilters to call the
%pixel window size and type of convolution masks. Uses the parameters from RGB and
%Greyscale to call outputName for the save file function. Finally uses
%MyIm... |
% ZISKAT_GS3
%
% Volane zo - ZISKAT_GS
% pre tlmene kmitavy model
% Copyright is with the following author(s):
%
% (c) 2012 Juraj Oravec, Slovak University of Technology in Bratislava,
% juraj.oravec@stuba.sk
% (c) 2012 Monika Bakosova, Slovak University of Technology in Bratislava,
% monika.bakosova@stuba.sk
% --... |
function [ orig ] = watersRecal(raw,replace)
%watersRecal - for a given centroid mode file, replace the cal line
%function either with the 000 line, or with the original text in order to
%restore the file as it was
% From the 'raw' file path, determine the name of the header file
head = [raw filesep '_HEADER.TXT'];
%... |
function [cores] = parallel_start( pools )
%PARALLEL_START spins up POOLS matlabpools or 1 per avaialble core if POOLS
% is not specified.
%
% Written By: Michael Hutchins
switch nargin
case 0
cores = feature('numcores');
case 1
cores = pools;
end
% Check fo... |
function y = myFxEx(N, X, DeltaX, lambda, myFx)
X = X + lambda * DeltaX;
y = feval(myFx, X);
end |
function D = dice(img1, img2)
%
% Computer DICE coeficient
%
inter = (img1 & img2);
common=sum(inter(:));
cm=sum(img1(:)); % the number of voxels in m
co=sum(img2(:)); % the number of voxels in o
D = (2*common)/(cm+co); |
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