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% n # no. of Bob's input or # of Alice's dits
% d dimension of Bob's and Eve's output.
% mode = 0 for unconstrained maximization, mode = 1 for maximization given
% Bob's success is fixed to Pb, mode = 2 for security analyiis when success = Pb
% OC = 0 for Spekkens' parity conditions, OC = 1 for even parity oblivious
% ... |
function [ output ] = applyFunctionOnFiles( path, funct, resultDir )
%APPLYFUNCTIONONFILES applies a given function to all .jpg files in path.
%
files = dir(fullfile(path, '*.jpg'));
files = transpose({files.name});
if resultDir ~= ''
resultingDirectoryPath = strcat(path,'\',resultDir,'\');
else
resultingDir... |
function [d_s,better] = beam_gen_swirl(RX_measure_report, Beam_index_report,RX_full_measure)
%BEAM GROUP GENERATION SELECTING WEAKEST CLIENT FIRST
load global_params_incr.mat;
N_u = size(RX_measure_report,2);
%Initial Solution = Only Finest Beams
d_s_finest = 0;
for b=1:1:Ncodewords_... |
for i = 5:12
runContinuumCaseWithPenalty(1, 20, 10, 1/7, -0.1 * i, i, true);
end
|
function nt = newton(fnc,x0,er)
dfun=diff(fnc);
f=subs(fnc,x0);
df=subs(dfun,x0);
c=1;
x1=x0-f/df;
ab=abs(x1-x0)/abs(x1)
while ab>er
x0=x1;
f=double(subs(fnc,x0));
df=double(subs(dfun,x0));
x1=double(x0-f/df);
ab=double(abs(x1-x0)/abs(x1));
c=c+1;
end
nt=x1
c
end
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% Machine Learning HW#3
% By: Seyed Mohammad Hossein Oloomi
function monte_carlo()
data = get(gcf,'UserData');
% Q(s,a) = 0 for all s in S, a in A(S)
Qsa = zeros(data.rownum, data.colnum, 4);
QsaCount = zeros(data.rownum, data.colnum, 4);
% Random e-soft policy
policy = zeros(data.rownum, data.colnum, 4);
for i = 1 ... |
function [X,T,X_te,T_te] = format_data(TD,np,N_tr,N_te)
load MK30 %Load Mackey-Glass chaotic time series 5000 point
MK30 = MK30+np*randn(size(MK30)); %Adding white noise mean 0 and std=np
MK30 = MK30 - mean(MK30); %Substracting
MK30 = MK30(1500:end); %... |
% precompute operators for block with 16
for level = 2:7
xi = zeros(1, 6);
ACell = {};
xi(1) = 1;
[ACell{1}, f] = genOperators2D(@(X, Y)coeffFun2DBlocks6(xi, X, Y), level);
for i=2:length(xi)
disp(num2str(i));
xi = zeros(1, 6);
xi(i) = 1;
ACell{i} = genOperators2D(@(... |
%% Plot Predictive Distribution of a KNN Classifer
%#testPMTK
load knnClassify3C
figure; hold on;
colors = {'or','ob','og'};
for c=1:3
plot(Xtrain(ytrain==c,1),Xtrain(ytrain==c,2),colors{c},'LineWidth',2.5,'MarkerSize',8);
end
set(gca,'box','on','LineWidth',2);
title('Training Points','FontSize',12);
legen... |
function SE0P_warnings(key)
% SE0P_warnings(['on' | 'off'])
warning(key, 'FSE:OversamplingIncreased');
|
function [outputString] = getLayerTranslationString(layerNumber, W, R)
currentTranslation = [0 0 0];
lengthR = length(R);
lengthW = length(W);
% comparing number of non-empty elements of R and W
if(lengthR==lengthW)
fprintf('R-W = 0, building translation string...\n');
for i=lengthR... |
clc
clear all
close all
im = (rgb2gray(imread('/Users/INNOCENTBOY/Downloads/videos/Imageprocessing/week6/original_cameraman.jpg')));
im = imresize(im,[256,256]);
k1 = 1:1:size(im,1);
k2 = 1:1:size(im,2);
[k1,k2] = meshgrid(k1,k2);
%% Filter
h = (1/8)*ones(3,3);
h(3,3)=0;
l1 = h.';
vector_h = l1(:);
vector_h = vector_... |
% item_cpy.m
val=get(h_lst1,'Value');
str=get(h_lst1,'String');
set(h_lst2,'String',str(val,:)); |
function fh = mlbAutoPlot(wins,losses,teams,region)
%MLBAUTOPLOT plots the data for
fh = figure;
barh([wins,losses])
legend('wins','losses','Location','E')
title(['American League Baseball - ',region,' - 2007'])
xlim([60,100])
% Update the tick labels
set(gca,'YTickLabel',teams)
|
function [stack,info] = aux_stackread(filename)
%AUX_STACKREAD Read a stack of images (.tif) as a 3D matrix
% [stack,info] = AUX_STACKREAD(filename) reads the stack named 'filename'
% and returns a 3D double matrix 'stack' and the stack info 'info'.
%
% Input:
% - filename: string containing the name of the sta... |
function Y = uq_ishigami(X,P)
% UQ_ISHIGAMI is a simple version of the ishigami function.
%
% See also: UQ_EXAMPLE_PCE_01_COEFFICIENTS,
% UQ_EXAMPLE_MODEL_01_MODELDEFINITION,
% UQ_EXAMPLE_KRIGING_ISHIGAMI
% processing the parameters
switch nargin
case 1
a = 7;
b = 0.1 ;
case... |
% Load the data, extracted from the text file and organized
load data2000_organized
% Define the wind speeds for the boundaries of the Saffir-Simpson scale
SSscale = [39,74,96,111,130,157];
% Determine the category for each wind measurement
% Set aside space
ctgry = zeros(size(windSpeed));
% Loop over each measureme... |
%% Set up Data
clc
clear
%Input Data here
Fs = 4000;
n = 0:1/Fs:1;
data = sin(2*pi*1000*n);
% data = [1, -1, 1, -1, 1, -1, 1, -1, 1];
%% Test Data
disp('Weak Definition DFT')
tic
FFT_S = MyOldDSP.weakfft(data);
toc
disp('KISS Cooley-Turkey FFT')
tic
[FFT_Result,f] = MyOldDSP.SuperFFT(data,Fs);
toc
disp('MatLAB FF... |
function [ value ] = globalConfig( name )
% [ value ] = globalConfig( setting )
% returns global configuration value for string name
% 'enableMeshCaching' : 1/0 enable/disable mesh caching
% 'meshVersion' : mesh format version number
if strcmp(name, 'meshVersion')
value = 1;
end
switch name
... |
% SETPOSITION set the position of the current playback
%
% [err] = setPosition(delayInSeconds)
%
% Parameter delayInSeconds is the delay from the start of the file or audio
% data matrix measured in seconds. The output parameter is empty on success
% or a string descibing an error.
%
% Examples:
%
% audiodata = r... |
function [curr_x,curr_y]=check_2()
fileid = fopen('Pb.txt','r');
filespec = '%d %d';
A = fscanf(fileid, filespec);
fclose(fileid);
curr_x=A(1);
curr_y=A(2);
end
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 本函数用于将handle(1)对应的slider的value向下四舍五入后，
% 传递给handle(2)对应edit的string
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function set_slider_num(handle)
Num=get(handle(1),'value');
set(handle(2),'string', num2str(floor(... |
clc
clear
close all
I1=imread('amrit1.jpeg');
I1 = rgb2gray(I1);
I1=imresize(I1,[900 643]);
I2=imread('sherlock2.jpeg');
I2 = rgb2gray(I2);
I2=imresize(I2,[900 643]);
figure(1), imshow(I1,[0,255])
figure(2), imshow(I2,[0,255])
dft_1=zeros(size(I1));
mag_1=zeros(size(I1));
phase_1=zeros(size(I1));
dft_2=zeros(size(I1))... |
function ind = chooseGoodComposition(tournament, POP)
count = 0;
goodComposition = 0;
maxTime = length(POP)*10;
while ~goodComposition
toMutate = find (tournament>RandInt(1,1,[0,max(tournament)-1]));
ind = toMutate(end);
numBlocks = POP(ind).numBlocks;
if ~isempty(numBlocks) %% for fix co... |
%%%%%%%%%% Equilibrium data %%%%%%%%%%%%%%%%%%%%%
equilibriumfile=[getenv('SFINCS_HOME'),'/equilibria/w7x-sc1.bc'];
addpath ~/sfincs/sfincsProjectsAndTools/tools/Hakan/BoozerFilesAndGeom
Geom=readBoozerfile(equilibriumfile);
rind=24;
%Geom.rnorm(rind)
G=Geom.Bphi(rind);
I=Geom.Btheta(rind);
iota=Geom.iota(rind);
B00=G... |
function scaled_img=linearStretching(input_img,start_intensity,end_intensity,stretching_x)
scaled_img=input_img;
[R,C]=size(input_img);
range=end_intensity-start_intensity; %Range of values whose value is not going to be 0 nor 255
for i=1:R
for j=1:C
if input_img(i,j)>=0 && input_img... |
clear all; clc;
% a3(wd_coefficient, n_hid, n_iters, learning_rate, momentum_multiplier, do_early_stopping, mini_batch_size)
%% Question 1, without any training
a3(0, 0, 0, 0, 0, false, 0)
%% Question 2
a3(0, 10, 70, 0.005, 0, false, 4)
%% Question 3
for learning_rate = [0.002, 0.01, 0.05, 0.2, 1.0, 5.0, 2... |
% Kaja Coraor
% Comp 590
% Assignment 4
% Load images
numImages = 4;
im1 = imresize(imread('1a.jpg'), 0.5);
im2 = imresize(imread('1b.jpg'), 0.5);
im3 = imresize(imread('1c.jpg'), 0.5);
im4 = imresize(imread('1d.jpg'), 0.5);
% Show images together
space = ones(size(im1, 1), 5, 3);
pair12 = [im1, space, im2];
% Manu... |
function err = ...
errorfun_spectralintegration7(V,IA_fullspec,IA_piece1,IA_piece2,ILD_piece1,ILD_piece2,IA_bestloc)
%This function takes only ILDAlone mean arrays
%errorfun_spectralintegration7(V,IA_fullspec,IA_piece1,IA_piece2,ILD_piece1,ILD_piece2,IA_bestloc)
%V: variables to fit
%IA_fullspec: ... |
function [vert,index] = closestVertexEuclidean(rrt_verts,xy)
dimensions = size(rrt_verts);
N = dimensions(2);
minimum = 0;
vert = [0;0];
index = 1;
for i = 1:N
version1 = rrt_verts(:,i) - xy;
version2 = version1;
version2(1) = 2*pi - version1(1);
if i == 1
minimum = min(norm(version1),norm(vers... |
function [dFdy,fac] = Jacobian(F,y,Fy,thresh,fac,vectorized)
% Initialize.
Fy = Fy(:);
br = eps ^ (0.875);
bl = eps ^ (0.75);
bu = eps ^ (0.25);
facmin = eps ^ (0.78);
facmax = 0.1;
ny = length(y);
nF = length(Fy);
if isempty(fac)
fac = sqrt(eps) + zeros(ny,1);
end
if(~exist('thresh', 'var') || isempty(thresh))
... |
% date numerice
m = 4.81;
l = 1.73;
zeta = 5.33;
g = 9.81;
params.m = m;
params.l = l;
params.zeta = zeta;
params.g = g;
%%
% implementarea modelului matematic in simulink si ilustrarea
% raspunsului la o intrare treapta - model3.slx
% magistrala
params_info = Simulink.Bus.createObject(params);
params_bus = eva... |
function PatternTypeTwo_SFLA_result=PatternTypeTwo_SFLA_Find(FunctionName,TH_num,RunTimes,MAX_Iterations)
% function PatternTypeTwo_SFLA_result=PatternTypeTwo_SFLA_Find(FunctionName,TH_num,RunTimes,MAX_Iterations)
% The PatternTypeTwo_SFLA,proposed by Eusuff and Lansey in 2003,is try to minimize some optimization p... |
% iseven(number)
%
% Returns whether or not a number is even.
%
% Note that both odd integers and non-integer numbers are "not even". If
% you want to test whther something is an odd integer, specifically, use
% ISODD
%
% 06.02.10 - S.Fraundorf
% 06.30.10 - S.Fraundorf - return boolean rather than integer
function it... |
%% Stelling 25
%
% Variabelen in Matlab mogen beginnen met een
% willekeurig symbool.
%
Antwoord = NaN; % vul hier het juiste antwoord in 1 (WAAR) of 0 (ONWAAR)
|
%解方程例3 图解法sin(x)=0.1*x
close;
fplot('sin',[-10,10]);
hold on;
fplot('0.1*x',[-10,10]);
grid;
zoom
|
%% HW 5.6.7
%% Initial-boundary-value Problem
% * $v_t - v_x = 0, x \in (0, 1), t > 0$
% * $v(x, 0) = 1, x \in [0.4, 0.6]$
% * $v(x, 0) = 0, x \in [0, 0.4) \cup (0.6, 1]$
% * $v(0, t) = v(1, t), t \geq 0$
% * One Analytic Solution: $v = v_0(|\{ x + t \}|), v_0 = v(x, 0)$
%%%
ts = [0.0, 0.5, 1.0, 2.0];
dx = 0.01; dt = 0... |
function [catted] = horzcat_fields(structs, ensure_double)
% Take a struct array and return one structure with all fields horizcontall
% concatenated.
if nargin < 2
% Ensure that horizontal concatenation makes all numeric values double
% Otherwise integers take precedence on horzcat
ensure_double = false;
... |
clear all; % close all; % clc;
% profile on;
Config();
db = @(x)20*log10(x);
functPlot = @(x)abs(x);
theta = 0;
Sys.pOrd = 2;
Sys.hOrd = 1;
Sys.k = 2*pi;%*1.5e9/299792458;
Sys.z0 = 120*pi;
Sys.kEinc = [cosd(theta) sind(theta) 0];
Mesh = IOrPoly('ModelScatteringSquare', 'q34a0.001A', Sys.hOrd, 1);
% PlotMesh... |
function [p] = proba_bis(input, ref, sigmaSquare_Epsilon,i)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
if i==0
p=1/sqrt(2*pi*sigmaSquare_Epsilon)*exp(-((input-(2*ref-1))^2)/(2*sigmaSquare_Epsilon)); %ref =0 if the symbole is -1 and is equal to 1 if the symbole is +1
else
if... |
function theta = thetafunct(t,td)
% if t>=td+0.5
% theta = 90;
% elseif t>=0.5
% m = 90/(t-0.5);
% theta = m*t;
% else
% theta = 0;
% end
theta = (45*(1 + tanh((t-td)/.05)))*pi/180; |
function img = eliminaObiect(img,ploteazaDrum,culoareDrum)
imgInitiala = img;
imshow(img)
rect = getrect;
close(gcf);
xmin = round(rect(1, 1));
ymin = round(rect(1, 2));
xmax = round(rect(1, 3) + rect(1, 1));
ymax = round(rect(1, 4) + rect(1, 2));
if xmin <= 0
xmin = 1;
end
if ymin <= 0
ymin = 1;
end
[y, x, c]... |
function output = avg_hop_dist(varargin)
output = feval(varargin{:});
function output = init
global rsc
output = -1;
function output = caption
global rsc
core('html_print', ['<p><b>Mote Versus Average Hop Histogram</b>']); core('print_br');;
output = -1;
function pic_name = graph
global rsc
output{1}... |
%% main
addpath('fcns')
k_w = 1;
k_t = 1
[N,s,M,Nq] = getParams();
%% initial guess
z0 = 0.1;
alpha0 = [3 6 9 12 15];
T_st0 = 0.1;
q0 = [-0.5738*ones(1,N),-2.3664*ones(1,N)];
dq0 = zeros(1,2*N);
x0 = [z0 alpha0 T_st0 q0 dq0]; % initial condition
%% bounds
Lbalpha = [0 1 1 1 1];
Ubalpha = [100 300 300 300 300];
G... |
function x = CVC( src_data, weights, wSize, K )
% -------------------------------------------------------------------------
% An implementation of "Contextual and Variational Contrast enhancement."
% T. Celik and T. Tjahjadi, "Contextual and variational contrast
% enhancement," IEEE Trans. Image Image Process., vo... |
fprintf('\n----------------------------------------------------------\n')
fprintf('%s:: Clear environment path.\n', mfilename);
rmpath( genpath( 'lib' ) );
rmpath( genpath( 'NdgCell' ) );
rmpath( genpath( 'NdgMesh') );
rmpath( genpath( 'NdgEdge') );
rmpath( genpath( 'NdgPhys') );
rmpath( genpath( 'Utilities') );
rmpath... |
% MNIST Matlab demo
% matcaffe needed
clear
caffe_root = '../../caffe/';
%add matcaffe to matlab path
addpath(genpath([caffe_root,'matlab/']));
%use gpu
use_gpu = 1;
% Set caffe mode
if exist('use_gpu', 'var') && use_gpu
caffe.set_mode_gpu();
gpu_id = 0; % we will use the first gpu in this demo
caffe.set_devi... |
% This function generates the output for the HED tag validation warnings.
%
% Usage:
% >> warning = generateWarningMessage(type, line, tag, units);
%
% Input:
%
% type The type of warning that is generated.
%
% line The line that the warning was generated on.
%
% tag The tag o... |
function norm = normalize(img)
a = 0;
b = 255;
c = min(img(:));
d = max(img(:));
norm = (img - c).*( (b-a)/(d-c) ); |
function [Q,r] = mult_div(f,F,ffmp,order)
s = length(F);
r = ffmp.zero;
p = f;
for i = 1:s
Q{i} = ffmp.zero;
end
while ~isequal(p,ffmp.zero)
divisible = 0;
ltp = ffmp.lt(ffmp,p,order);
for j = 1:s
ltf = ffmp.lt(ffmp,F{j},order);
[div,rem] = ffmp.mon_quo(ffmp,ltp,ltf);
if isequal... |
w=0.1:0.1:10000;
clc;
Kl=1;
Tl=2.2*10^-4;
Kx=4*10^-4;
Ex=0.2;
%Всего 3 варианта Tx
%Для M1-M18 Tx: 7 * 10^-4, 1.1*10^-3, 1.2*10^-3
%Для M19-27 Tx: 0.69 * 10^-3, 1.15 * 10^-3, 1.25 * 10^-3
%Tx=0.7e-3;
%Tx=1.1e-3;
Tx=1.2e-3;
Kgp1=3508;
Kgp2=615.6;
Kdv=19300;
Ip=0.1;
Il=0.00167;
W7=tf([Kl],[Tl 1]);
W8=tf([Kx],[Tx^2 2*Ex... |
%Load cameras from function
[vid video_input] = resetCameras;
%% Load thermal probes (DS18B20 via Arduino)
a = arduino('COM8', 'Uno', 'Libraries', 'PaulStoffregen/OneWire');
sensor = addon(a, 'PaulStoffregen/OneWire', 'D2');
therm1 = sensor.AvailableAddresses{1};
therm2 = sensor.AvailableAddresses{2};
%% Test loop
co... |
load('DistrictsViz.txt');
load('TimeslotsViz.txt');
load('RidesViz.txt');
scatter3(DistrictsViz, TimeslotsViz, RidesViz,[], RidesViz);
title("Number of Rides for Start District and Time Slot");
xlabel("District");
ylabel("Time Slot"); |
function[exp_coverage, active_count] = delta_soc_2(G, init_active,p, full_soc, niter, install)
%{
Same as delta_soc with different definition on immunzation
In this model, a node that is immuzited can still spread information
however, it cannot be infected with a virus that resets it's
time-to-live counter
%}
out = z... |
function Res_score = func_getScore(T,Nums,signalType)
% %% haifen's code
% % global signalType;
% nICM = Nums(1);
% nPE = Nums(2);
% nEPI = Nums(3);
%
% Res_score = 0;
%
% % if signalType==2
% % toICM = T(:,1:nICM);
% % toPE = T(:,nICM+1:nICM+nPE);
% % ... |
function [maxRad,maxRadOrigin]=maxCircleInConvexPoly(xPoly,yPoly,shrinkage)
% 07-17-20 Mitchell Tillman
%% WORKS FOR 2D CONVEX SHAPES ONLY!!!
%
%% Overview:
% "Inflates" (translates and increases size) multiple "balloons" (circles) through an iterative process
% incrementing along the vectors that bisect two sides u... |
% Simulate Geometric distr. Geo(p) variables, using the Discrete
% % Inverse Transform, i.e. X = ceil(ln(U)/ln(1 - p)-1).
clear all
p = 0.5;
err = 1e-02;
alpha = 0.05;
N = ceil(0.25 * (norminv(alpha / 2, 0, 1) / err) ^ 2);
fprintf('Nr. of simulations N = %d \n\n', N)
for i = 1 : N
X(i) = ceil(log(1 - rand)/log(1 ... |
clear; close all; clc;
%% TEST
% Assert that the full Elastic Net model and Ridge Regression are equal
n = 100;
p = 25;
X = normalize(rand(n, p));
y = center(rand(n,1));
beta_en = larsen(X, y, 1e-9, 0, [], false, false);
beta_ridge = (X'*X + 1e-9*eye(p))\X'*y;
assert(norm(beta_en - beta_ridge) < 1e-12)... |
function tform = projective_tform(points)
% Riordina i punti in senso anti-orario.
convex = convhull(points);
movingPoints = points(convex(1:4), :);
fixedPoints = [0 0; 1 0; 1 1; 0 1];
% Costruisci la matrice di trasformazione prospettica.
tform = fitgeotrans(movingPoints, fixedPoints, 'pr... |
close all
clear all
%
indexPath = '.\pick_indexs_radom_1025.mat';
index = load(indexPath);
pick_indexs = index.pick_indexs;
n_data = size(pick_indexs, 2);
global result
% init myData
label_results = cell(1, n_data);
tem_labelResults = struct();
result.tem_labelResults = tem_labelResults;
result.label_results = labe... |
function [ ] = saveEpsFigForPaper(hFig, fullPathToSaveFig, flagFixTicks)
%SAVEEPSFIGFORPAPER Save an .eps version for figure hFig at
%fullPathToSaveFig.
%
% Note: In order to use export_fig, one needs to install ghostscript at
% http://www.ghostscript.com
% and manually locate pdftops (if asked) at
% NistMe... |
function runFuncBlockScan2(params,varargin)
% General script to run a block design fMRI experiment.
% Allows you to adjust the block length and stimulus length by
% adjusting the first few parameters. The stimuli should be saved in a
% separate directory for each condition.
%
% I am working on... |
function y = ctoy(C)
%------------------------------------------------------------------------------------
% Usage:
% y = makeclassindex(C)
%
% Input:
% C: vector of indices giving the number of samples per class
%
% Output:
% y: n dimensional vector of class labels
%------------------------------------... |
function filelist=ls2list(filter)
% ls2list creates a list of files that meet the filter requirements
% filelist=ls2list(filter)
% filelist= matlab list of the files that match the filter requirements.
% filter= string to used with unix ls command to select files.
% Note: This is unix dependant code.
if nargin<1, filt... |
clear all
close all
clc
% SEAS1001 MATLAB Problem Set 1
% Melody Lee 9/8/17
%% Problem 1
p = [1 9 -37 -357 -36 1620];
r = roots(p)
%% Problem 2
A = [1 2 0; 2 5 -1; 4 10 -1];
B = [20; 46; 95];
X = inv(A)*B
C = [13; 24; 53];
X2 = inv(A)*C
%% Problem 3
Y = sin(cos(exp(log(25)))) + (100 * ((55/7) - (1000 * tan(.... |
clc
clear all
close all
x = [158,151,157;151,153,150;158,151,157];
x1 = [158,21,157;151,22,150;158,23,157];
var = (sum(sum((x-mean2(x)).^2)));
var1 = (sum(sum((x1-mean2(x1)).^2)));
v1 = 1/var;
v2 = 1/var1;
%
% a =2;
% b = 2;
% c = conv2(a,b);
% d = a*b;
% h = (1/8 )*ones(3,3);
% h(3,3)=0;
% h = h*c;
% e = fft2(h... |
function [hNew,hGen]=testErgodicHMMGMM
%test HMM design,
%using GaussMixD output distributions
%Arne Leijon 2009-07-21 tested
c='rbgk';%state color coding, max 4 states
%ergodic generator HMM:
% nStates=2;
% A=[.95 .05; .05 .95];
% p0=[0.5;0.5];
nStates=3;
A=[.98 .01 .01; .01 .98 .01;.01 0.01 0.98];
p0=[1;1;1];
mc=Ma... |
function session = demo_response(session)
trials = length(session.x);
neurons = length(session.x(1).spike_times);
for t=1:trials
flashes = length(session.x(t).flash_time);
if strcmp(session.x(t).trial_type, 'ball_strikes') & (flashes > 0)
for f=1:flashes
time = session.x(t).flash_time(f);
xpos = ... |
function t = CheckUserType(user,Dataset)
%in tasbe barresi mikonad ke Aya yek user
%P(positive),N(Negative),I(Inactive) ast ya kheir
chk=ismember(user,Dataset(:,1));
%Inactive User=0, Positive User=1 ,Negative User=-1
ru=0;
related_Users=0;
if(chk==0)%karbar inactive ya I ast
... |
function [Position] = SortNoteHeads(NoteHeadsPos,StaffLinesPos, Length, BW)
%Set the positions of the different notes
NotePositions = zeros(1,20);
NotePositions(1,1) =StaffLinesPos(1,1)-Length*3;
NotePositions(1,2) =StaffLinesPos(1,1)-Length*3+Length/2;
NotePositions(1,3) =StaffLinesPos(1,1)-Length*2;
NotePositions(1,... |
function [pointX, pointY] = breadthSpot(imageGS, spotX, spotY)
if (spotX == 0 || spotY == 0)
breadthX = 0;
breadthY = 0;
return;
end
pxH = length(imageGS);
pxW = length(imageGS(1, :));
breadthX = spotX;
breadthY = spotY;
pointX = 0;
pointY = 0;
flag = ... |
function nextyBuff = IIR_filter(yBuff, aCoeff, x)
a0 = a(Coeff1);
a1 = aCoeff(2);
a2 = aCoeff(3);
%Filtrado por ecuación de diferencias
output = a1*yBuff(1) + a2*yBuff(2) + x;
%Actualización del Buffer para siguiente señal de entrada
yBuff(2) = yBuff(1);
yBuff(1) = output;
... |
function Integral = ContinuousSimpsonsRule(Function,Start,End,Intervals)
error(nargchk(3,4,nargin));
if(nargin == 3)
Intervals = 1;
end
IntervalSpacing = (End - Start) / (Intervals) ;
SubIntervalSpacing = 0.5 * IntervalSpacing ;
Values = Start : SubIntervalSpacing : End ;
Ph... |
%Generowanie map bitowych z cyferkami
%Raz wygenerowane literki są wielorazowego użytku, zatem
%wystarczy je wygenerować tylko raz i umieścić np w pliku .mat!!!!
literki = createCharMaps('Helvetica', 14, 1, 1);
rysunek = zeros(200,200);
%liczby = [ 12 43243.5322 432432 432 0.4324343243 52342 ];
%liczby = ... |
function [columnNames, data] = mocapManuelRead(fileName)
% MOCAPMANUELREAD Read in data which has column titles in the first line and separated values in each other line.
if nargin < 2
separator = ',';
end
fid = fopen(fileName);
numMarkers = str2num(fgetl(fid));
numLines = str2num(fgetl(fid));
framesPerSecond = ... |
%function [n0,N0]=modifyHilbert3D_BlockDeformation(n,k0,k,H,p2s)
H=88; k0=3; k=6; W=64;
p2s=[1 2 4 8 16 32 64 128 256 512 1024 2048 4096];
%Find the 'base square': -----------------------------------------------------------
load H3L3
%m=double(H3cutted(3,3,n)+1)'; n=m;
n=n'; m(1,:)=n(2,:); m(2,:)=n(3,:); m(3,:)=n... |
function visualizeT(kp,T)
%
% plot T's PDF on the Extended alpha-beta hemisphere
%
if isempty(kp)
%generate the standard mesh
if size(T,1) == 9
T = vectorizeT(T);
elseif ~(size(T,1) == 3 && size(T,2) == 3)
error('unrecognized input T');
end
n = 1000;
[x,y,z] =... |
function ImageInfo=UpdateImageProperty(DataFormat)
if ~isempty(DataFormat.XStartV9)
ImageInfo.XStart=DataFormat.XStartV9;
ImageInfo.StartV9=1;
else
ImageInfo.XStart=DataFormat.XStartV8;
ImageInfo.StartV9=0;
end
if ~isempty(DataFormat.YStartV9)
ImageInfo.YStart=DataFormat.YStartV9;
... |
clear;
load('RobotRecordData.txt');
data1=RobotRecordData(:,1);
plot(data1);
figure
data2=RobotRecordData(:,2);
plot(data2); |
close all;
[rc, sc, a, bits, wc, sigma2_a, N0] = QPSKtransmitter_random(100, 11, 1e5, 1e8);
t0 = 33;
[rr, rr_sampled, gm] = matched_filter(rc, t0);
[qc_b, qc_a, qc_length] = transmitter_tf();
qc = impz(qc_b, qc_a, qc_length);
figure;
subplot(1,2,1);
stem((-length(gm)+1:0) + t0, gm);
subplot(1,2,2);
qR =... |
%*******************
%% UNIT CELL
%****************
L1=0.3;
L2 =0.4;
%*******************
%% DASHBOARD
%****************
% Nx = 200;
% Ny = 200;
dx = 1/Nx;
dy = 1/Ny;
xa = [0:Nx-1]*dx; xa = xa-mean(xa);
ya = [0:Ny-1]*dy; ya = ya-mean(ya);
x0=0;y0=0;
[X, Y] = meshgrid(ya, xa);
%*******************
%% UNIT... |
function out = tmp_read(fname, conf)
% TMP_READ -- Read contents of the tmp text file.
%
% out = ... tmp_read() reads the file 'tmp.txt' in
% `conf.PATHS.job_output`.
%
% out = ... tmp_read( 'tmp1' ) reads the file 'tmp1' in the above
% directory.
%
% out = ... tmp_read( ..., conf ) uses the conf... |
function output = mySTFT(audio, blockSize, hopSize, plot)
% [X, Fs] = wavread(audio);
Y = audio;
L = length(Y);
nHops = (L-blockSize)/hopSize;
startIndex = 1;
for i = 1:nHops
output(:,i) = abs(fft(Y(startIndex:startIndex+blockSize-1)));
startIndex = startIndex + hopSize;
end
if plot == 1
t = 1:blockSiz... |
close all;
clear all;
code_folder = pwd;
exp_folder = 'D:\GoogleDrive\retina\Chou''s data\MB';
cd(exp_folder)
XOwf =0;
XOdark = 0;
direction = 'RL';
sorted =0;
special = 0;
num_peak = 1
if XOwf
HMM_former_name = '0224_OU_G';
HMM_post_name = ['_5min_Q100'];
OU_former_name = '0224_OU_wf_G';
OU_post_name =... |
function varargout = nonlinear(varargin)
% NONLINEAR MATLAB code for nonlinear.fig
% NONLINEAR, by itself, creates a new NONLINEAR or raises the existing
% singleton*.
%
% H = NONLINEAR returns the handle to a new NONLINEAR or the handle to
% the existing singleton*.
%
% NONLINEAR('CALLBACK',hO... |
function y = optim_parabolic(func, lower, upper, max_iter, max_error)
% Finds the maximum of a one-dimensional function between
% two bounds using the parabolic interpolation approach.
% The inputs are the function(anonymous), lower and
% upper bounds, maximum number of iterations, and the maximum
% relative erro... |
function a = tl_acq_drawTrialAssignments(n,p)
% n: number of assignments
% p: 1x4 vector with probabilities
% a: 1xn vector with assignments
x = rand(1,n);
p = p/sum(p);
e = [0 cumsum(p)];
[~,a] = histc(x,e); |
function [c2n,ptr,z]=de_2n_code(bin,len,thd,ptr)
n=log2(thd);
[z,ptr]=de_z0(bin,len,ptr);
lenw=sum(z); lenk=len-lenw;
if n>=1
flg=bin(ptr); ptr=ptr+1;
if flg==1
%fprintf('\naaaaaaaaaaa\n')
[zk,ptr]=de_z0(bin,lenk,ptr);
if n>1
[ck,ptr]=de_2n_code_sub(bin,n-1,zk,ptr);
else
... |
function [y] = fitPoly2d(x, n, mask, vsz)
%FITPOLY2D Fit 2d polynomial of order n to 3d multi-echo data
%
% [y] = FITPOLY2D(x, n, [mask], [vsz]);
%
% Inputs
% ------
% x multi-echo data, 3d/4d array.
% n order of polynomial to fit.
%
% mask binary mask of voxels to include in fit.... |
function M = nmodeM_3(in1,in2,in3,g,in5,in6,in7)
%NMODEM_3
% M = NMODEM_3(IN1,IN2,IN3,G,IN5,IN6,IN7)
% This function was generated by the Symbolic Math Toolbox version 8.1.
% 11-Dec-2018 13:25:26
I1 = in1(1,:);
I2 = in1(2,:);
I3 = in1(3,:);
L1 = in2(1,:);
L2 = in2(2,:);
d1 = in3(1,:);
d2 = in3(2,:);
d3 = in3... |
function fitness = EvaluateIndividual(weights, thresholds, dataSet)
%Limits
minVelocity = 1;
maxVelocity = 25;
maxTemperature = 750;
maxSlope = 10;
if (dataSet == 1)
numberOfSlopes = 10;
else
numberOfSlopes = 5;
end
slopeOrder = randperm(numberOfSlopes);
fitnessVector = zeros(numberOfS... |
function [upcount,downcount] = ContinTrend(bars, tol, uppercent, downpercent)
% v0.0 by Zehui Wu
% v1.0 by Yang Xi
% 通过连涨连跌来表现出市场的趋势状态
% tol表示可以容忍的反趋势个数
% uppercent表示连涨所要求的最低上涨率
% downpercent表示连跌所要求的最低下跌率
% 返回值 upcount downcount的第一列记录实际上涨或下跌天数（去除回撤）第二列记录趋势的起点 第三列记录趋势终点
open = bars.open;
close = bars.close;
ntotal = le... |
function plotClassROC(tag,prob,N)
%plotClassROC
%by Pan Zeng
%email:q64545@sina.com
%2015,11,4
%%
%tagΪ²âÊÔ±êÇ©(ÁÐÏòÁ¿)£¬probΪԀ²âµÄÿһÀàµÄžÅÂÊ£¬NΪROC»æÍŒãÐÖµ²ÉµãÊý£¬·¶Î§Îª[0,1]
%p_0ΪãÐÖµ
p_0=linspace(0,1,N);
%ÏÈÇó³öÒ»¹²ÓжàÉÙÀ࣬ÓÃn±íÊŸ£¬²¢ÓÃprobClassi±íÊŸµÚiÀàµÄÑù±Ÿ·ÖÀàžÅÂÊ,tagi±íÊŸµÍiÀ౟µÄÕýÈ··ÖÀà
[l,n]=size(p... |
%% Data processing for headplot generation
%by: Julian Y. Cheng 12/19/2012
%
%Adapted from SC script "Headmap.m" for MC/PC
%
%This script conditions the ERSP outputs from the wavelet analysis to
%produce datasets that can be plotted directly or can undergo permutation
%(bootstrapping) before plotting.
%% Extract el... |
function [GNCout] = ChooseSensors_2types(GNCin)
% GNC = ChooseSensors(GNC)
% Generates all possible architectures with combinations of sensors of type
% A, B or C
global SENSORS M_SENS
j = 1;
for i = 1:length(GNCin)
if GNCin(i).NS == 1
for sen = 1:2
GNCout(j) = GNCin(i);
... |
%% sVBM_config
% Sets up paths that will be used by sVBM_setup using the second revision of the
% pipeline. Create a copy of this file to make edits to for a specific data
% set.
%path to data: (set scan data folder where image were placed using
%image_finder.sh)
scandatafolder = '/mnt/macdata/groups/rosen/longitudi... |
function INVCDFX = uq_invcdfFun(F, Type, varargin)
% UQ_INVCDFFUN returns the inverse CDF values of the CDF values of samples
% of a random vector given the distribution it follows and the distribution's parameters
switch lower(Type)
case 'constant'
%do nothing
case 'gaussian'
... |
Cauchy = zeros(3,3); %define cauchy stress tensor
Cauchy(2,2) =BStress(9.81*100*0.246,0.014,ICT(0.028)) ; %if only diagonals non zero then product of diagonals is det... det = o non real solutions
%Cauchy(1,2) =SStress(9.81*100,0.025,IRT(0.05,0.02,0.002));
%Cauchy(2,1)= Cauchy(1,2)
Cauchy(2,3) = (9.81*... |
function [ ] = parsave(absPathToSave, varargin) %#ok<INUSD>
%PARSAVE A helper function to enable save in parfor loops.
%
% Inputs:
% - absPathToSave
% The absolute path for saving the variables.
% - varargin
% The variables to be saved.
%
% Note:
% all the inputs should be independent and complete variabl... |
function [x_traj, u_traj, cost_traj] = ddp_ddr(params, state, goals, init)
% ddp: Differential Dynamic Programming for Differential Drive Robot
% ACRL Homework 3 - Spring 2019 - Caleb Harris
l = params.length;
w = params.width;
wb = params.wb;
l_rad = params.l_radius;
r_rad = params.r_radius;
d_theta_nom = params.d_t... |
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