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pkg load quaternion;
close all;
DATA_FILE = "/home/h3lgi/code/grSDK/build/firs.txt";
data = load(DATA_FILE);
axis equal
axis([-2, 2, -2, 2, -2, 2]);
ylabel("y axis");
xlabel("x axis");
zlabel("z axis");
x = quaternion(1, 0, 0);
y = quaternion(0, 1, 0);
z = quaternion(0, 0, 1);
for i=1:rows(data)
delete(get(gca, 'C... |
Directory = '.\20160606\';
ASDIrrad = ASD([Directory 'Irrad*.asd.irr.txt']);
% Print the dates and times of measurements (Computer clock should be set
% to UTC). The overpass time is 07:16:36
%% Find measurements near the overpass time
disp(strvcat(ASDIrrad.DateTime));
ASDSerialDates = [ASDIrrad.SerialDate];
% Want to ... |
% Main driver program which prompts the user for their encoding method
% and returns the corresponding code word generated by that method.
% Inputs: Requires the message polynomial, generator polynomial and
% gf_matrix
% Output: Returns the codeword associated with the chosen encoding method
% Example Input: Encoderm([... |
% Crea la matrice di filtraggio 2D di una immagine con filtro separabile
% per righe e colonne
%
% A = MATRIX_FILTER2D_SEP( HC, HR, EXT, M, N, TC, TR )
%
% HC = coefficienti del filtro per colonne
% HR = coefficienti del filtro per righe
% EXT = variabile carattere per il tipo di estensione al bordo
% 'e' = estens... |
intrlvrIndices4096 = randperm(4096);
intrlvrIndices2048 = randperm(2048);
intrlvrIndices1024 = randperm(1024);
save('interleaverIndices', 'intrlvrIndices4096', 'intrlvrIndices2048', 'intrlvrIndices1024'); |
function [D] = dipoleKernel(sz, vsz, bdir, space, T)
%DIPOLEKERNEL Generate kspace dipole kernel.
% The dipole kernel can be constructed in image space or in k-space. The
% kspace kernel will be shifted such that the DC component is at index
% (1,1,1).
%
% [D] = DIPOLEKERNEL(sz, vsz, [bdir], [space], [T]);
%
% ... |
function HW1_ImageTampering()
clc,close all
% Original image
im_original = rgb2gray(imread('../images/starry-night-reference.jpg'));
disp(size(im_original));
% Tampered image
im_tampered = (generate_tampered_image(im_original));
% Generate difference image
% without typecasting
im_d... |
function [A_temp,r_temp] = GenerateBubble3D(P,obstacle,obstacle_bounds)
global ru rl
%%find closest edge point on obstacle
for i = 1:length(obstacle)
distance(i) = norm(obstacle(i,:) - P);
end
%%find min distance to obstacle from point P
[M,I] = min(distance);
if M > ru %%if distance to obstacle ... |
function [ delta_n ] = getdelta( N, x_n)
%GETDELTA Summary of this function goes here
% Detailed explanation goes here
r=1;
delta_n = zeros(1,N);
for k=1:N
for l=1:N
if l~=k
dif_x_n = x_n(l,:)-x_n(k,:);
b=dif_x_n/norm(dif_x_n);
b1=(norm(dif_x... |
function t = fusing(II,II1,target,rec,dmin,dmax,B)
[m,n] = size(II);
t = target;
x0 = target(1);
y0 = target(2);
x1 = rec(1);
y1 = rec(2);
if (x1==0 && y1==0)
return;
end
d = (x0-x1)^2+(y0-y1)^2
if d<dmin
return;
end
II = II.*II1;
if d>dmax
%{
if B==1
return;
end
... |
function line_handle = pretty_scatter(x,y,color,varargin)
% define default options
opts = {'Marker'; 'o'; 'LineStyle'; 'none'; 'MarkerEdgeColor'; 'none';...
'MarkerSize'; 2; 'LineWidth'; 2};
% scatter data
line_handle = plot(x, y, 'MarkerFaceColor', color, opts{:},varargin{:}); |
function waveWithPitchCurve(waveFile, outWaveFile, showPlot)
% waveWithPitchCurve: Read a wav file, perform pitch tracking, display the signals and the pitch in cooledit
%
% Usage:
% waveWithPitchCurve(waveFile, outWaveFile)
%
% Example:
% waveFile='whenWillYouBeBack.wav';
% outWaveFile='whenWillYouBeBack_combined.w... |
classdef SysMat
% PUBLIC PROPERTIES
properties (Access=public)
%System
sys=[];
% cost function
V= [];
%Scenario tree
tree=[];
%Options
sys_ops=[];
%Verbosity (TODO... |
%DISP WPTREE オブジェクトの情報を表示
%
% 参考 GET, READ, SET, WRITE
% M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi 01-Jan-97.
% Copyright 1995-2004 The MathWorks, Inc.
|
function[bic] = AMIGO_bic(R,D,s,npar,llktype)
% Bayesian information criteria
fprintf('\n*************************************\n')
fprintf('**** Bayesian Information Criteria ***\n');
fprintf('***************************************\n')
fprintf('In statistics, the Bayesian information criterion (BIC) or Schwarz\n')
fp... |
%% *********************** Problem 1 **************************
% initial input
syms t a1 a2
syms theta1 theta2 real
q1 = [0; 0]; q2 = [a1; 0];
w = 1; w_hat = [0,-1;1,0];
I = eye(2);
g02 = [I,[a1+a2;0];0,0,1];
% compute xigma hat
v1 = w_hat * q1; v2 = w_hat * q2;
xi1_hat = [w_hat, -v1;0,0,0]; xi2_hat = [w_... |
%> @brief Standard line class.
%
%> And here we can put some more detailed informations about the class.
% ======================================================================
%> This class is part of the NDGOM software.
%> @author li12242, Tianjin University, li12242@tju.edu.cn
% ===================================... |
function [log_likelihood,prop_vpsc] = log_likelihood(S,N,D,curr_theta,curr_Delta,curr_delta,sigma_obs,strain_inc,sigma_vpsc,block)
curr_re_tau0 = curr_theta(1:D:S*D);
curr_re_tau1 = curr_theta(2:D:S*D);
curr_re_theta0 = curr_theta(3:D:S*D);
curr_re_theta1 = curr_theta(4:D:S*D);
curr_inv_delta = 1/curr_delta;
err_pr_m... |
declims=[0 1];
out1=calperf(A1csERD,'out','dec');
out2=calperf(A2csERD,'out','dec');
out3=calperf(A3csERD,'out','dec');
figure,
subplot(1,3,1),imagesc(out1.tpr{2}),colorbar,caxis(declims)
xlabel('number of combined trials'),ylabel('FPR')
subplot(1,3,2),imagesc(out2.tpr{2}),colorbar,caxis(declims)
xlabel('number of c... |
function ne = nnz_elements( elems)
%NNZ_ELEMENTS the number of nonzero elements.
% NNZ_ELEMENTS(ELEMS) returns the number of elements with nonzero entries.
%#codegen -args {coder.typeof(int32(0), [inf,27], [1,1])}
% Skip elements with zero entries.
if size(elems,1)==0 || elems(1,1)==0
ne = int32(0);
elseif size(e... |
load timepath_average.mat
fig_corr = figure;
set(fig_corr,'Position',[0 0 700 500]);
subplot(2,2,1)
plot(time, rel_wage_l_mat(5,:),'b','LineWidth',1.5);
hold on
plot(time, rel_wage_l_mat(1,:),'b:','LineWidth',1.5);
hold on
plot(time, rel_wage_l_mat(9,:),'b--','LineWidth',1.5);
hold on
plot(time, rel_wage_s_mat(5,:),'C... |
clear all
clc
close all
% script for value iteration with chain MDP
c = Chain_MDP_class(0.9,15);
tol = 1e-5;
maxIter = 1e3;
[V_Exp,Pol_Exp,err_Exp] = VI_Exp(c,tol,maxIter);
%
% [V,Pol,err] = Value_Iteration(c,tol,maxIter);
%%% an index that controls the solver for inner optimization problem,
%%% either fmincon or C... |
function [ pt ] = p( t )
%UNTITLED this function is the analytical solution for the third assignment
pt = 200./( 20 - ( 10 * exp(-7*t) ) );
end
|
% Convert ROIs exported with the "ExportROIs" plug-in from Horos into pairs
% of points that draw a polygon
close all;
% csvfile = '/Users/preston/Desktop/ROIs_from_plugin.csv';
[filename, pathname] = uigetfile('*.csv');
csvfile = fullfile(pathname, filename);
M = readmatrix(csvfile);
slice_number = M(1, 1);
% img =... |
% Course - Matlab programming for numerical computation
% Lec 3.2 : Differentiation in single variable
% Double differentiation for f(x) = tan-1(x) ,x = 1;
a = 1;
h = 1.0e-4;
trueVal = -2*a/(1+a^2)^2; % f"(x) = -2x/(1+x^2)^2
numDiff = (atan(a+h) -2*atan(a) +atan(a-h))/(h^2); % f"(x) = f(x+h)... |
function p=polyfitcoef(x,y,powers)
% Finds the optimal coeficnets for the 'powers' specified. the rest are zero.
%
% Inputs:
% powers: A vector of integers containing all the desired powers of
% the polynomial in, eg [5,3,1] will fit the polynomial y = ax^5+ bx^3+cx
% x: x axis input
% y: y axis input
%
% Outpu... |
% plot supplemental figure 1
% Matlab script for plotting Fig S1 (Model parameters)
% for submission to Nature Neuroscience
%
% created by jcl on 08/07/08
%%
% create figure
fh = figure;
mm2inch = 25.4;
pw = 170/mm2inch; % paper width, make it nature size of one column, 85mm x 85mm
ph = 130/mm2inch; % paper he... |
function xdrawgraph(xs,yrange,method_list,field,ti,lx,ly, ws, do_legend, w, h)
%the legend is at upper right in default
if (nargin < 9)
do_legend = 0;
end
box('on');
hold('all');
p= zeros(size(method_list));
for i= 1:length(method_list)
mname = method_list(i).name;
if (ws(i) ~= 1.0)
mname = [mname... |
function [new_pns] = InterpolateScattered(fP,fPLocation,xns,yns,zns,pns2)
x = fPLocation(:,1);
y = fPLocation(:,2);
z = fPLocation(:,3);
v = fP;
xq = xns;
yq = yns;
zq = zns;
% vq = abs(griddata(x,y,z,v,xq,yq,zq,'nearest'));
p = [x,y,z];
q = [xq,yq,zq];
vq = griddatan(p,v,q);
vq2 = pns2.*isnan(... |
function [Errout,Errin,w] = validation(w, xtest, ytest, xtrain, ytrain)
%for errorout
Errout = 0;
for k = 1:500
tempErrorout = (( ytest(k) - ( sign( dot( w,xtest(k,:)))))^2) /2;
Errout = tempErrorout + Errout;
end
Errout = Errout/500;
%for errorin
... |
function [J,M] = gl2c(p_iso,p)
% Computes the exponential map for the general linear group with complex
% parameters, GL(2,C).
% J is an element of GL2C, a Jones matrix
% M is the mapping to a scaled element of SO(3,1), a Mueller-Jones matrix
% p_iso is the isotropic parameter, \chi
% p is the anisotropy vector [L, L... |
% test function posfd
N = 101;
x = linspace(0,1,N)';
y0 = exp(sin(4*pi*x));
sigma = 0.2;
y = y0 + randn(N,1).*sigma;
plot(x, y, 'o', x, y0, '--')
nbasis = 13;
norder = 4;
basis = create_bspline_basis([0,1],nbasis,norder);
basismat = getbasismatrix(x, basis);
cvec = basismat\log(y);
Wfd0 = fd(cvec, basis);
L... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Technische Universität Berlin
% Fakultät Verkehrs- und Maschinensystem
% Fachgbiet Kraffahrzeuge
% M.Sc. Osama Al-Saidi
%
% Fahrzeugregelung: Übung - Einführung in Matlab/Simulink
% Aufgabe: Schleifen (if, for, while)
% Datum: 21.1... |
S=randn(4096);
M=ones(size(S));
K=gaussian(-3:3, 0, 2);
K1=ones(2)/4;
%K1=gaussian(-12:12, 0, 4);
K=K/sum(K);
K1=K1/sum(K1);
rtot=zeros(size(S));
m0=M;
s0=S;
tic
for k=1:6
s1=conv_corrected(s0, K, true);
m1=conv2_separable(m0, K );
r1=conv_corrected((s1-s0).^2, K1, true);
rtot=r1(2:2:end, 2:2:end)+rtot... |
%
% initialize_windows.m
%
% This function is called once when intializing the windows at the begin-
% ning of both of the two main functions. Windows are essentially an array
% with cells containing parameters of the segment of the snake within that
% particular window. This allows sections of the snake to move inde... |
function x=gtsp0(Pk)
% generate a permutation from P_t
% generation using node transitions
[n,m]=size(Pk); % n==m
x(1)=1;
Pkp=Pk;
for k=1:(n-1)%,
Pkp(:,x(k))=zeros(n,1);
for i=1:n%,
if(sum(Pkp(i,:)~=0))%,
Pkp(i,:)=Pkp(i,:)/sum(Pkp(i,:));
end
end
r=rand(1);
cc=0;
c=0;
... |
function v = piecelin( x,y,u )
delta = diff(y)./diff(x);
n = length(x);
k = ones(size(u));
for j=2:n-1
k(x(j) <= u) = j;
end
s=u-x(k);
v=y(k) + s.*delta(k);
fileid=fopen('output1.txt','w');
fprintf(fileid,'%s','Interpolated values of y* at given x* ');
fprintf(fileid,'\n');
fprintf(fileid,'%s','Linear ... |
function [gtonestackL,gtonestackR] = MakeGammaToneStackmissing(Fs,tonestackfreqs,stim_dur,targ_freq)
%[tonestackl,tonestackr] = MakeGammaToneStack_missing(Fs,tonestackfreqs,stim_dur,targ_freq)
%Fs, sampling rate in Hz
%tonestackfreqs, a vector containing the frequencies to be included
%stim_dur, the stimulus durati... |
function imageLR = fp(d, s)
% Create the stereo images that serve as input stimuli
% d: start with uncrossed (+) disparity
% s: gives slant of elements
% -1: back slant
% 0: no slant
% 1: front slant
global p;
imageL = zeros(p.N1Y, p.N1X/2);
imageR = zeros(p.N1Y, p.N1X/2);
%35x35
% left image
imageL(1:12:25, [9:2... |
function hmain=setup(outfile,datafiles,snipfiles,channels, noise_channels,pwflag)
numch=length(channels);
numfiles=length(snipfiles);
if (~pwflag)
if (isempty(dir('proj.bin')))
%subsetbutton=questdlg ('Define spikes on a subset of data', '', 'yes', 'no','no');
subsetbutton='no';
%Default Filters
%deffiltbutton... |
function dx = dynamics(x,u,p)
mu=p.mu;
pmee = x(1,:);
fmee = x(2,:);
gmee = x(3,:);
hmee = x(4,:);
xkmee = x(5,:);
xlmee = x(6,:);
Thrust=u(1,:);
azimuth=u(2,:);
elevation=u(3,:);
pert_1=Thrust.*cos(elevation).*sin(azimuth);
pert_2=Thrust.*cos(elevation).*cos(azimuth);
pert_3=Thrust.*sin(elevation);
smovrp = ... |
function rasterplots(t,doprint,selectedDays,file,groupname)
[a,s30]=fly_sleepthresh(file,t);
[x y]= size(a);
% This will create a separate figure for each group that you choose in the
% analysis dialog box. The dimensions of subplot are determined by the
% number of flies in the group (rows) and the number of days sel... |
function indexout = lindex(Na,indexin,dim)
% Na=size(A);
Nl=size(lindex);
Nl2=cumprod(lindex)
if Nl2(end)==length(lindex)
else indexout=
end |
function phandles = plotGEV3D( X, timeStamps, epsilon, sigma, mu, varargin )
avgYearLength = 365.2425;
args.nPlottedTimesByYear = 180;
args.xlabel = 'levels (m)';
args.zlabel = 'pdf';
args.minYear = -7000;
args.maxYear = 11000;
args.dateFormat = 'yyyy';
args.axisFontSize = 22;
args.labelFontSize = 28;... |
%% README
% We have 4 formants, which acts as our features.
% For each formant, 4 different modes can be used
% Fx20: vowel is held at 20% the original length
% Fx50: vowel is held at 50% the original length
% Fx80: vowel is held at 50% the original length
% Fxs: vowel is held at 100% the original length
%
% We have 12... |
function diff = RSS_diff(X, ind, labels)
% The purpose of this function is to calculate the difference in Residual
% Sum of Squares (RSS) before and after removing data object 'ind' from the
% cluster that it belongs to. The regression is build for the data objects
% that lie in the same cluster as 'ind'.
% Inputs:
%... |
function VPFmodelpredH_forcluster(J1barind)
% This code creates VPF (VP + IL) model predictions
tic
Nvec = 2:5; %set size
deltavec = 10:10:90; % change magnitude in degrees
nsteps = 100;
Kvec = 1:5;
alphavec = linspace(0,3,50);
%Parameter ranges for monkey data
% J1barvec = linspace(0,30,nsteps);
% tauvec... |
1
function result = factorial( ip )
if( ip == 0 )
result = 1;
return;
else
result = prod( 1:ip );
endif
endfunction
n = 4 ;
display(factorial(n)); |
function fn_displayarrows(varargin)
% function fn_displayarrows([[x,y,]img,]arrows,sub,flag)
%---
% Input
% - x,y vectors
% - img array
% - arrows array (...) or 2-element cell array
% - sub scalar or 2-element vector
% - flag ''
%
% USES MATLAB CONVENTIONS FOR IMAGES (i.e. rows <-> ... |
function T_recover=main_noisyor1bit_TC(TE,E,p_cc,doingmax,doing1bit,f,fprime,iter,alternations,infbound)
%main_noisyor1bit_TC: outputs T_recover from the measurements TE.
%Inputs:
%TE: The mesurements tensor on the observed indices(E) can be 1-bit or noisy
%E: Binary tensor indicaiting observed indices.... |
% function [x_output] = process(x,s,alpha,b_rand,a_rand,hm_rand,param)
% % next move after passing through the process equation.
% % input is a vector of state variables, x is a column vector
% % model.b = random(b_dist);
% % dynamic equation
% x1_dot = x(2);
% if x1_dot < 0
% disp('negative velocity');... |
function[xx] = unshsca(x,l,u,DS);
%UNSHSCA Unshift and unscale
%
% xx = UNSHSCA(x,l,u,DS); vector x is shifted and scaled to yield xx.
% Copyright (c) 1990-98 by The MathWorks, Inc.
% $Revision: 1.2 $ $Date: 1998/03/21 16:29:01 $
n = length(x);
arg1 = (l== -inf) & (u == inf);
arg2 = (l== -inf) & (u < ... |
function new_prior = apply_gaussian_filter(dims, sigma, prior)
% APPLY_GAUSSIAN_FILTER - apply a gaussian filter to the estimate of the
% label probabilities.
%
% Input: dims - the size of the gaussian kernel
% sigma - the standard deviation (isotropic) of the gaussian kernel
% pri... |
function L_eta = reliable_num_attacks(r,eta)
% Obtain reliable number of attacked nodes
% Reliability (eta)
%
% Inputs:
% - r [N+1-by-1] : Poission-Binomial pmf of estimate
% Outputs:
% - L_eta [scalar] : trust number
%
% @Written by Yu Zheng, Tallahassee, Florida, Aug. 2020
% defin... |
%BEST ACCURATION
clc; clear all; close all;
%deklarasi konstanta
jml_gambar = 40;
se = strel ('square',15);%fix jangan diubah
se5 = strel ('disk',2,0);
k = 1;
for i = 21 : jml_gambar
%membaca data citra retina untuk ditampilkan di kanal hijau
retina =imread([num2str(i),'_training.tif']);
data_vessel = imread([n... |
function ShowROCPlus(RocStructure, extrastring, Color, LineWidth)
%function ShowROC(RocStructure, extrastring, Color, LineWidth)
%
EER = RocStructure.EqualErrorRate;
if(nargin == 1)
subplot(2,2,2);
plot(RocStructure.normfp, RocStructure.normtp);
axis([0,1,(1-EER),1]);
subplot(2,2,3);
plot(RocStructure.normfp... |
%% DBF Foamcutter for Wing
% This code is modified by Yuting Huang (ythuang96@gmail.com) based on
% Dr.Anderson's code written on Scilab.
% Please report all bug to the author's email address.
% Last updated: 1/13/2019
% This is written for DBF foamcutting, to generate G-code from wing
% prameters.
clear all; close al... |
pkg load symbolic
function matriz_x = eliminacion_gaussiana(matriz_a, matriz_b)
% Funcion para realizar una sustitucion hacia adelante
% :param matriz_a: matriz triangular inferior
% :param matriz_b: matriz columna
% :return: matriz con el resultado de realizar la sustitucion
[n, m] = size(matriz_a);
l... |
% This is a runscript for automatized simulation on any system
% Simple test cases based on Properties_Base
run('data\Properties_Base.m');
% Load the properties into memory, make copies and modify them on the go
% The testcases:
% 1. all flowers
% 2. no spring flowers
% 3. no summer flowers
% 4. no autumn flowers
P... |
%------------- BEGIN CODE --------------
% ekran ve bellek on temizleme
close all ; clear all ; clc ;
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)
aa = [a b]
for i = 1:n-1
aa(i,:) = aa(i,:) / aa(i,i);
for j = i+1:n
aa(j,:) = aa(j,:) - (aa(i,:) * aa(j,i)) / aa(... |
classdef bar2plot
%class to make all the bar graph stuff easier.
properties
Data;%the numbers
a;%the average value for plotting
err;%the SEM
end
methods
function obj=bar2plot(DataToStore)
obj.Data=DataToStore;
obj.a=mean(DataToStore);
obj.err=std(DataToStore)/sqrt(numel(DataToStore));
... |
function process_fista_main(filename)
%% See cell access before concatenate them together
process_cell_opening(filename);
%% Concatenate recordings together for events detection
pad_multi_mat(filename,range);
%% Events detection using a two-template sparse deconvolution method(fista_2tem)
process_fista_2tem_detect(file... |
function [MatrixOut] = extractexcel(SearchString,varargin)
%EXTRACTEXCEL create cell array from data structures to paste into excel
% Extract any number of vectors or 1d cell arrays inside any number of
% structures and put them all in a cell array which can be pasted into excel
MatchingVars = findbasevars(SearchStrin... |
function [imageOut] = flippedY(imageIn)
%flippedY Flip imageIn on Y axis
% Detailed explanation goes here
imageOut = imageIn(end:-1:1, :, :);
end
|
clc; close all; clear all; format compact
matlabpool
%% PRE-PROCESSING
%% Initialization of Data Structures
PROCESS = struct('EEG',{},'KINE',{},'CLASS',{},'CLASSIFIER',{});
disp('Initialization of Data Structures')
%% Initializing and Assigning directory paths....
InfantDataJohn_dir = '\\bmi-nas-01\Contrer... |
%Script to implement the spiking network model found in
%%%
%Correlation-based model of artificially induced plasticity in motor cortex by a bilateral
%Brain-Machine Interface, Guillaume Lajoie, Nedialko Krouchev, John F. Kalaska, Adrienne Fairhall,
%Eberhard E. Fetz, under review, (2016), preprint: https://arxiv.org/a... |
% tic
% mat1 = zeros(360000,25,3);
% for first = 1:360000
% for second = 1:25
% for third = 1:3
% mat1(first,second,third) = 1;
% end
% end
% end
% toc
tic
index=1;
mat2 = zeros(3,25,360000);
for first = 1:3
for second = 1:25
for third = 1:360000
mat2(index) = 1;
inde... |
function []=prueba()
Ks= [1 10 20 30 40 50 60 70 80 90 100 ]
n=prod(size(Ks));
mat=round(rand(Ks(end),Ks(end)).*200);
for i=1:n
tic;
mysvd(mat(1:Ks(i),1:Ks(i)));
myTimes(i) = toc;
tic;
svd(mat(1:Ks(i),1:Ks(i)));
ocTimes(i) = toc;
end
close all
hold on
plot(Ks,myTimes,'r')
plot(Ks,ocTimes,... |
function [D,D2] = DD2(N)
% Function returns a D matrix and D*D of dimensions N*N
D = zeros(N,N);
for i = 1:N
for j = 1:N
D(i,j) = 2*((j>i)*0.5*(1+(-1)^(i+j+1))*((i==1)*0.5*(j-1)+(i>1)*(j-1)));
end
end
D2 = D*D;
|
% breakLinkCopyFcn
% This script file kills (renders inactive or destroys depending on setting) the library link to a block when you copy it.
%
if 0
SET='inactive';
DEBUG=0;
% none
% Block is not a reference block.
%
% resolved
% Link is resolved.
%
% unresolved
% Lin... |
function Yp = predictLogisticRegression(x, w, b, lps)
XW = x*w(:);
prob1Expression = lps + (1 - 2 * lps)./(1.0 + exp(- (XW + b))); % expression of logistic function (prob of 1)
Yp = prob1Expression>0.5;
end |
% Using hmmestimate. The function hmmestimate requires that you know the sequence of states states that the model went through to generate seq.
% The following takes the emission and state sequences and returns estimates of the transition and emission matrices:
params_featExtraction.timeBeforeEvent = 4;
params_featEx... |
function Y=blending(SX,SY,EX,EY,target,source,slope)
% % Target
% target = double(imread('Data/test1.jpg'));
%
% % Source
% source = double(imread('Data/text1.jpg'));
% girl=double(source);
target=double(target);
girl=source;
[Lh, Lv] = imgrad(target);
X = target;
Fh = Lh;
Fv = Lv;
LY=SX;
LX=SY;
%... |
function [Xk] = dft1(xn,N)
L = length (xn);
if (N<L)
error ('Nmust be > =L')
end
x1=[xn zeros(1,N-L)];
for k = 0:1:N-1;
for n = 0:1:N-1;
p = exp (-i*2*pi*n*k/N);
x2(k+1,n+1) =p;
end
end
Xk = x1*x2.';
end
|
function [ outImg ] = invert_NL( inImg )
x = inImg;
x(:,:,1) = 255 - x(:,:,1);
x(:,:,2) = 255 - x(:,:,2);
x(:,:,3) = 255 - x(:,:,3);
outImg = x;
end |
function [ PEFLUX,IMAX,AFAC,DE,EV ] = FLXCAL( context,IDIM,ALT,SZADEG,TE,TN,XN,XNE,XN2D,XOP2D,IMAX )
%FLXCAL evaluates the photoelectron flux
%:::::::::::::::::::::::::: PHOTOELECTRON MODEL ::::::::::::::::::::::::
%....... This subroutine evaluates the photoelectron flux using the concept
%....... production frequen... |
load('/home/juan/self-propelling/code/coverage/RS_core/saved/qr_qr_safe_V_circle_Radius_2_Speed_10_SafetyTime_1.mat')
load('/home/juan/self-propelling/code/coverage/RS_core/saved/analytical_qr_qr_safe_V_circle_Radius_2_Speed_10_SafetyTime_1')
%% evaluate analytical ttr
i = 0;
ATTR = single(zeros(size(ttr)));
for v1 = ... |
classdef stage<handle
properties
controller % controlador del stage
axis % numero de eje del controlador
position % posicion respecto a la posicion de home
resolution % resolucion en las unidades units
units % unidades en las que se mide la posicion
speed
end
methods
functio... |
function X_denoised = denoising_by_low_rank_factorization(W, A, X, n_components)
%
% Denoising by low-rank factorization. Computes a low-rank approximation of
% the input data, given a set of spatial filters and corresponding spatial
% patterns.
%
% X_denoised = denoising_by_low_rank_factorization(W, A, X, n_compone... |
function Awind_j_xm_t = func_18(x2, x1, y1, y2, zxMinus, zyPlus, tanh_Sdt, cosA_ZWjdt, tanA_ZWjdt)
if tanh_Sdt > 0
inputAo = [zyPlus, x1, x2, y1, y2, tanh_Sdt, cosA_ZWjdt, tanA_ZWjdt];
inputAs = [zxMinus, x1, x2, y1, y2, tanh_Sdt, cosA_ZWjdt, tanA_ZWjdt];
Awind_j_xm_t = (x1 + x2) * (y1... |
for g=1:length(gazes)
params_folder_gazewise=params_folder;
% params_folder_gazewise.scanpaths_subfolder = [params_folder.scanpaths_subfolder '/gbg/' num2str(g)];
params_folder_gazewise.scanpaths_subfolder = [params_folder.scanpaths_subfolder];
params_folder_gazewise.bmaps_subfolder = [par... |
I=imread('flowers1.ppm');
figure(10);
imshow(I)
I=im2double(I);
IR=I(:,:,1);
IG=I(:,:,2);
IB=I(:,:,3);
[m,n]=size(IR);
Theta=zeros(m,n);
for i=1:m
for j=1:n
acu=((IR(i,j)-IG(i,j))^2 +(IR(i,j)-IB(i,j))*(IG(i,j)-IB(i,j)))^(0.5)+0.00000001;%El 0.00000001 es por los casos en que quedaria una divisi... |
function [dag,sc_star,conv,last_gen] = esl_ga(ss,data,N,M,MP,alpha,d,scoring_fn,bnet)
% Elite-based Structure Learner using GA
%% Init
n = size(bnet.dag,1); % #nodes
ns = bnet.node_sizes; % node sizes
conv = struct('f1',zeros(1,M),'se',zeros(1,M),'sp',zeros(1,M),'sc',zeros(1,M));
last_gen = M; % #generati... |
function varargout = Testing(varargin)
%TESTING MATLAB code file for Testing.fig
% TESTING, by itself, creates a new TESTING or raises the existing
% singleton*.
%
% H = TESTING returns the handle to a new TESTING or the handle to
% the existing singleton*.
%
% TESTING('Property','Value',...) c... |
function [DCThat] = ComputeDCThat( data, Q, Q_scalar )
q_handle = @(A) Quant8x8_custom(A.data, Q, Q_scalar);
quantCoeff = blockproc(data,[8 8],q_handle);
% for checking if result correct:
deq_handle = @(A) DeQuant8x8_custom(A.data,Q,Q_scalar);
DCThat = blockproc(quantCoeff,[8 8],deq_handle);
end |
function network = initalize(X, layers)
% Initialize the network
D = size(X, 2);
no_layers = length(layers);
numconn = 5;
decay = 0.25;
network{1}.bias_upW = zeros(1, layers(1)) + 0.1;
network{1}.W = zeros(D, layers(1));
for j = 1 : D
idx = ceil(layers(1) * rand(1, numconn));... |
run('vlfeat/toolbox/vl_setup')
names = dir('vehicles/*/*.png');
% names = names(1:1000);
vimages = {};
for i = 1:length(names),
if rem(i,100) == 0,
fprintf('Loading vehicle image %d\n',i);
end
vimages{i} = imread([names(i).folder,'/',names(i).name]);
end
names = dir('non-vehicles/*/*.png');
% names = names(1... |
% Clear previous iterations
clear
close all
% Axis Ranges
x_max = 25; % Maximum range of x axis
y_min = 0; % Minimum y axis range
y_max = 10.2; % Maximum y axis range
% Vectors to plot
x = 0:1:5000; % Create vector for x values - arbritrary length
y = zeros(size(x)); % Vector for y values
%... |
% imhist();
clear; close; clc;
img = imread('T.jpg');
imshow(img);
figure();
imhist(img);
% Find T value
% T = 100;
|
function out = loadMNIST(filename1,filename2)
%Caricamento del dataset MNIST
fp = fopen(filename1, 'rb');
assert(fp ~= -1, ['Could not open ', filename1, '']);
magic = fread(fp, 1, 'int32', 0, 'ieee-be');
assert(magic == 2051, ['Bad magic number in ', filename1, '']);
numImages = fread(fp... |
%%%%%%%%%%%%%% Question2 %%%%%%%%%%%%%%
tic;
alpha0 = 1.0;
n = 20;
x = rand(n,1);
f = fun(x); g = grad(x);
d = -g;
k = 1;
while ( 1== 1)
[retcode, x, f, g, alpha] = linesearch(x, f, g, d, alpha0);
if (norm(g, inf) < 1e-2) break; end;
d = -g; k = k + 1;
sprintf('k=%d fval=%f err=%f alpha=%f\n',k,f,norm(g, inf)... |
clear global
clear all
clc
close all
addpath(genpath('../lti_toolbox'));
%% 1. Connecting an augmented plant
% Simple continuous time controller design for the X-stage of the XYtable
% at PMA. Special thanks to Dora for supplying the model and testing the
% toolbox.
%% 1.1. Let's define the systems we w... |
clear all
L = 200e-9;
W = 100e-9;
Lb = 40e-9;
Wb = 40e-9;
meshspace = 1e-9;
nx = round(L/meshspace + 1);
ny = round(W/meshspace + 1);
cond1 = 1;
cond2 = 1e-2;
%This section creates a conductivity map witch assigns a conductivity to
%each node in the mesh. This will be used to create the G matrix
condMap = zeros(nx,... |
%config = 1 -> R manipulator
%config = 2 -> P manipulator
%config = 3 -> RR manipulator
%config = 4 -> RP manipulator
%For 2-link manipulator
%X(1) = q1
%X(2) = q2
%X(3) = q1'
%X(4) = q2'
%X(5) = q1''
%X(6) = q2''
function xdot = xdot(X, t)
config = 3;
g=9.81;
if (config < 3)
l = 10... |
function Moments = uq_lognormal_PtoM( Parameters )
% Moments = UQ_LOGNORMAL_PTOM(Parameters) returns the values of the
% first two moments (mean and standard deviation) of a Lognormal
% distribution based on the specified parameters
lambda = Parameters(1) ;
zeta = Parameters(2) ;
mu = exp(lambda + 0.5 *zeta^2) ;
sig... |
function [F, M] = computeActingForcesAndGeneralizedInertia(mass, Jb, quat, angularVel)
% computeActingForcesAndGeneralizedInertia returns generalized inertia matrix M
% and acting forces F for body b.
%
% mass is the mass of body b.
% Jb is the inertia tensor of the body b expressed in the body b frame.
% qua... |
function [quit,PDR] = setupTrialSeq_spatialPDR(PDR)
% function to set up trial sequence for spatialPDR
setup=1;
while setup
% Setup randomized scale and loc sequences:
scales = PDR.TEST_scales;
outlier_scales = PDR.TEST_outlier_scales;
mu = mean(scales);
scales = sort(scales);
% rand... |
function figure_stuff
global REMORA PARAMS
%% load dfs fig
prompt = inputdlg('Enter desired decimation factors (comma separated):',...
'DF Selection', 1, {'1, 5, 10'});
prompt = strsplit(char(prompt), {',',', '});
REMORA.hrp.dfs = [];
for k = 1:length(prompt)
df = str2num(prompt{k});
REMORA.hrp.dfs = [REM... |
function D_fill = hole_filling(D1,cross_radius)
ind = D1==0;%Find holes in the given disparity map
D_fill = D1;
shifteded_D1 = zeros(size(ind));
max_cross = zeros(size(ind));
min_cross = Inf(size(ind));
for i = -cross_radius:cross_radius %Shift the image in vertical direction
shifteded_D1(:,:) = 0;
if ... |
function initpulldowns
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% initpulldowns.m
%
% generate figure pulldown menus
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
global HANDLES PARAMS
% 'File' pulldown
HANDLES.filemenu = uimenu(HANDLES.fig... |
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