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function cs = contour_curvature( cont )
ispl = 1 : 10 : size(cont, 1);
cs = zeros( length(ispl), 1 );
for i = 1:length( ispl )
cs(i) = curvature( cont, ispl(i), 5 );
if isnan( cs(i) )
disp('sss');
end
end |
function [V,vsize,vdim,info,affineparams] = dicomVolRead(pathname)
disp('This function fits with ReadAnalyze!')
%DEFAULT_SLICE_THICKNESS = 3;
if nargin < 1
pathname = uigetdir(pwd,'Choose dicom directory') ;
if pathname ==0
error([ 'No directory selected.' ])
end
end
files = dir(pathname);
disp(['Readin... |
function [evaluation,fpred,model] = runGPFM(model,outputDirectory, prefix, train, test, conf, opt)
%RUNGPFM runGPFM(outputDirectory,prefix train, test, conf, opt)
%
% INPUT:
% - outputDirectory : directory to store the log and results
% - prefix : prefix to use in the auto-generated result file name
% (usually n... |
%% Assemble Stiffness Matrix
K = zeros((M+1)*(N+1),(M+1)*(N+1));
kk = [1/3, -1/12, -1/6, -1/12;
-1/12, 1/3, -1/12, -1/6;
-1/6, -1/12, 1/3, -1/12;
-1/12, -1/6, -1/12, 1/3];
for i = 1:length(elements)
nodes = elements(i,:);
hx = verts(nodes(2),1) - verts(nodes(1),1);
hy = verts(nodes(4),2) -... |
%ReadBag
% Copy the specified topic messages from rosbag to a table.
% A discription file 'propertyTable.csv' is needed.
% Gxb 2021-09-05
clc
clear
global typeName
global typeNum
[file,path] = uigetfile('*.bag',...
'Select One or More Files', ...
'MultiSelect', 'on');
if isequal(file,0)
disp('User selected Ca... |
function project_copes(session_dir, subject_name, copeNames, hemis, ROIs, funcs)
% project_copes(session_dir, subject_name, copeNames, hemis, ROIs, funcs)
%
% Loop wrapper function for psc_copes.
%
% Input arguments:
% ================
%
% session_dir : path to the session directory;
% subject_name : Freesurfer... |
function hypKernel = medianTrick(samples, medianScale)
if nargin < 2
medianScale = 0.1;
end
for i = 1:size(samples, 2)
dist = maha(samples(:, i), samples(:, i));
hypKernel(i) = medianScale*median(reshape(dist, [], 1));
end |
function epigraph
% The epigraph of a convex function is a convex set.
%
% Code by Matthew Dunham
f = @(x)(x-4).^2;
domain = (0:0.01:8);
subdomain = 0:0.1:8;
xline = max([subdomain;subdomain+1]-1,min(domain));
yline = [f(max(domain))*ones(size(subdomain));f(subdomain)];
p1 = line(xl... |
clear;clc
load mydata.mat % 导入数据（共三列，分别是S,I,R的数量）
global true_s true_i true_r n % 定义全局变量
n = size(mydata,1); % 一共有多少行数据
true_s = mydata(:,1);
true_i = mydata(:,2);
true_r = mydata(:,3);
figure(1)
plot(1:n,true_i,'b-',1:n,true_r,'g-') % 单独画出I和R的数量
legend('I','R')
% 粒子群算法来求解
% beta1,beta2,a,b
% 给定参数的搜索范... |
function integral = compoundTrapezoid(a, b, m)
h = (b - a)/(m - 1);
integral = 0;
xn = a;
for i = 0: m - 2
xNext = a + h * (i + 1);
integral = integral + h * (myFunction(xn) + myFunction(xNext)) / 2;
xn = xNext;
endfor
endfunction
|
clear;
close all;
clc;
% Step 1 : load data
fprintf('Loading data...\n');
data = load('data.txt');
data_size = size(data, 2);
% X = features, y = output, n = number of features, m = number of examples
X = data(:, 1:data_size - 1);
y = data(:, data_size);
n = size(X, 2);
m = size(X, 1);
fprintf('Loaded %d features wi... |
function [block64out] = des_final_permutation(block64in)
% DES_FINAL_PERMUTATION(BLOCK64IN), permute bit, used after applying des last round
ip = [40, 8, 48, 16, 56, 24, 64, 32, 39, 7, 47, 15, 55, 23, 63, 31, 38, 6, 46, 14, 54, 22, 62, 30, 37, 5, 45, 13, 53, 21, 61, 29, 36, 4, 44, 12, 52, 20, 60, 28, 35, 3, 43, 11, 51... |
function err = naivePerfusionSSEIntegratorfullerStickP2X7(ton,toff,Ttot,amp,T,I)
%#codgen;
naive=zeros(1,13);
naive(1)=1;
V=-60*10^-3;
err=errorIntegratorfullerStickP2X7(ton,toff,Ttot,amp,naive,T,I,V);
end |
function [mu, s, a, gf] = fit_logn(X, Y, varargin)
%fits lognormal distribution to histogram data
%FIT_LOGN fits lognormal distribution to histogram data (value and count),
%initial guess for mean and standard deviation can be given as optional
%arguments. Return values are mean, standard deviation, scaling factor ... |
% book : Signals and Systems Laboratory with MATLAB
% authors : Alex Palamides & Anastasia Veloni
%
%
%
% Discrete time convolution
% x=[1,2,3,4,5],0<=n<=4
% h=[1,2,1],-1<=n<=1
%1st approach
n=-1:4;
x=[0,1,2,3,4,5];
h=[1,2,1,0,0,0];
subplot(121);
stem(n,x);
axis([-1.1 4.1 -.1 5.1]);... |
% 描述竞争行为
function [pre_next_COORD, W] = compete(COORD, pre_next_COORD, W)
global X
global Y
for i = 1:X
for j = 1:Y
N = ismember(pre_next_COORD, [i,j], 'rows') ;
n = sum(N);
if n <= 1
continue
else
M = find(N=... |
function tests = barconTest( )
tests = functiontests(localfunctions);
end%
function setupOnce(this)
close all
this.TestData.Visible = 'off';
end%
function testBarcon(this)
if verLessThan('matlab', '9.1')
return
end
x = Series(qq(2000,1), randn(40, 4));
y = sum(x, 2);
figure('Visi... |
function [fdcomm, radar, radar_comm, cov] = tsp_ini_wc(radar,fdcomm,radar_comm, cov)
%%%%-----------------------------------
%% Precoding matrices initialization
I = fdcomm.UL_num;
J = fdcomm.DL_num;
K = radar.codelength;
Mr = radar.TX;
Nr = radar.RX;
Mc = fdcomm.BSTX;
%% Updating Sigma
M = Mc + Mr;
Sigma = zeros(M,M,... |
function [k,notk] = eventon(cue,t)
%
% [k,notk] = eventon(cue,t)
% k = 1 for points in t (time vector) when cue is on, 0 elsewhere.
% cue is a list of events in the format: cue = [start_time,duration]
% notk is the complement of k.
if nargin~=2,
help eventon
return
end
k = 0*t ;
cst = cue(:,1) ;
ce =... |
function func_ColorCSF
% Show Contrast Sensitive Function (CSF) via color Sinwave stimulus
% This function is part of the toolbox "Basic introduction to HVS"
%
% Command line
% ----------------------
% func_ColorCSF
% input: None
%
% output: CSF figure
%
% More information can be found in
% S. E. Palmer, ... |
clc
clear all
close all
%% output file
oid = fopen('results.csv', 'wt');
formatspec = '%0.4f, %0.4f, %0.4f, %0.4f, %0.4f, %0.4f, %0.4f, %0.4f\n';
fprintf(oid, 'Actual Height, Calculated Height, A, Pixel Height, Actual Skew Factor, Calculated Skew Factor, Percent Error, Distance\n');
dirname = 'test_images/';
label =... |
% Offset_Reg_glm('lum', 'top'); clear all;
% Offset_Reg_glm('lum', 'low'); clear all;
% Offset_Reg_glm('lum', 'mean'); clear all;
%
% Offset_Reg_RF('lum', 'top'); clear all;
% Offset_Reg_RF('lum', 'low'); clear all;
% Offset_Reg_RF('lum', 'mean'); clear all;
%
% Offset_Reg_SVR('lum', 'top'); clear all;... |
%% This script is used to create a 5 X 5 matrix
function five_by_five_mat = five_by_five_mat(all_possible_comb_SS)
for counter5=1:1:size(all_possible_comb_SS,3)
collect_column=[];
for counter6=1:1:size(all_possible_comb_SS,1)
column1 = (1/(sqrt(6)))*[all_possible_comb_SS(counter6,5,cou... |
function energy = meshEnergy(vertices, faces)
%MESHENERGY Computes the energy of a tesselation, as the sum of second area moments.
%
% This function can be used to check that the total energy of Centroidal
% Voronoi Tesselation (CVT) decreases with the iterations of the Lloyd
% algorithm.
%
% E = meshEnergy(V, ... |
clear all
figure(1); clf;
termination = 100;
x = linspace(-2,1,640);
y = linspace(-1,1,480);
x_index = 1:length(x) ;
y_index = 1:length(y) ;
M = zeros(length(y),length(x));
for k=x_index
for j=y_index
z = 0;
n = 0;
c = x(k)+ y(j)*i ;%complex number
while (abs(z)<2 && n<termination... |
function sirius_comm_connect(varargin)
% sirius_comm_connect: conecta ao servidor de estado do anel UVX do LNLS.
import java.net.Socket;
import java.io.*;
default_ip_address = '10.0.5.11';
default_ip_port = '53131';
ip_address = default_ip_address;
ip_port = default_ip_port;
AD = getad;
if isfield(AD, 'PVServer')... |
% sample from the conditional Indian Buffet Process
% (one iteration of Gibbs update)
%
% inputs:
% Z - sample to be conditioned on
% alpha - as is
% iord - a permutation of row indices
%
% outputs:
% Z - updated sample
%
% Note: Samples can be lof-equivalent to each other in this case.
%
% Written by Minjie Xu (ch... |
function sphere3d
[x,y,z]=sphere(30);
axis equal;
surf(0.5*x,0.4*y,0.5*z);
disp('Dalej? Enter'); pause; close;
return |
function [glmModel] = designMatrixBuilder_session(glmModel,glmnetOpt,selectedFeatures)
%selectedFeatures is a vector with values corresponding to the values in
%the DmatFields
DmatFields = fields(glmModel{1}.io.components);
for i = 1:length(glmModel)
DmatX = [];
dims = [];
for g = 1:length(select... |
% Cluster yeast data using Kmeans
% This file is from pmtk3.googlecode.com
% modified by E. Benetos 2017
load('yeastData310') % 'X', 'genes', 'times');
figure;imagesc(X);
xlabel('time')
set(gca,'xticklabel',times)
ylabel('genes')
title('yeast microarray data')
colorbar
figure; plot(times,X,'o-');
xlabel('time')... |
function [mean_img,mean_diff_img,var,M,N] = parse_video_dataset2(fileformat,start_idx,end_idx,color)
img_start = double(imread(sprintf(fileformat,start_idx)));
prev_img = img_start(:,:,color);
mean_img = img_start(:,:,color);
mean_diff_img = img_start(:,:,color);
[M,N] = size(img_start);
var = size(M,N);
pt_r = 1... |
function dat = getchannel(ds, dname, syn)
% Retrieves a specific data channel by name from ds.trd array
% if syn is specified, gets a certain synapse's data
% chdat will be an array: ntrain x sgdim(1) x sgdim(2) x sgdim(3) [ x 3 for color]
if(~strcmp(dname, ''))
chidx = find(strcmp(ds.trdlist, dname));
if(nume... |
clear all;
clc;
fid = fopen('result.txt');
result = zeros(101,101);
no_of_rows = 101;
no_of_col = 101;
for step = 1:50
for i=1:101
for j=1:101
result(i,j) = fscanf(fid,'%f',1);
end
end
surf(result);
pause(1);
end
%surf(result);
|
function [k, tab]=reson(ordre,period,fen)
% reson(ordre, period, fen)
% Recherche des droites de resonance a x + b y = c
% passant dans la fenetre [x1 x2 y1 y2]
% Ordre de la resonance |a| + |b|
% Critere de recherche c = period * entie
% eg:
% Soleil
% [k, tab] = reson(4,1,[18 19 10 11])
%
% ALS
% [k, tab] = reson(4,1... |
%此程序研究多期下只收单一价格货物（当天发送，推迟到第二天则提供赔偿）的最优仓容问题---总量
%遍历法确定最优仓容，迭代法的解与之比较，表明迭代法可行
%试验最优值的稳定性--不同的随机种子
%固定歩距法
clc
clear
close all
%% 参数设置
sj=100; %产生随机数的次数
n=100; %观测多少天
rate=1; %运价
fare=0.6; %仓容单位价格
p=0.2; %每延后一天，赔偿p
D1=0.2E4; %试验仓容的最低值
D2=10.2E4; %试验仓容的最高值,D1和D2的取值是根据到货的分布
Gap=1000; %仓... |
%% Test for distance
assert(round(calcWD(32.8,3.4,1920,76))==150,'A 32.8p bullseye at "distance settings" should be 150cm away')
%% Test for near
assert(round(calcWD(41.1,3.4,640,76))==40,'A 41.1p bullseye at "near settings" should be 40cm away')
|
%function [IndicEq]=EquaIndic(ic,ir,rf,nx,ny,nSc,Indic)
function [IndicEq]=EquaIndic(ic,ir,rf,nx,ny,Indic)
%IndicEq: Indicator values for constant F
%data (Indic) written as:
%x1,yn ... xn,yn
%x1,y1 ... xn,y1
% IndicEq=zeros(length(-rf:rf)*length(-rf:rf)*nSc,1);
iEq=1;
%for iSc=1:nSc %loop on scenarios
%look for... |
%% preprocess and store coordinates into a struct
% drag the csv file to workspace and it will be stored as a table
% change the name of the table to 'coords'
framerate_Hz = 10;
if ~exist('str','var')
if width(coords)>=13
coords(:,[4,7,10,13])=[]; % delete the probability columns
tableVariableName... |
clc;
clear;
close all;
% Deklarasi fungsi
soal = @(x) 10.4 + x(1)*sin(3*pi*x(1)) + x(2)*sin(13*pi*x(2));
xbawah = [-2.0 3.27];
xatas = [15.5 8.75];
disp('************************************************************')
disp('= *** GENETIC ALGHORITHM *** =')
disp('= ** Fungsi fit... |
function solution = main(conf)
for m = 1:conf.NREPETS
conf.I = m; fprintf('Executing run %d...\n',m);
% Specified dataset is generated or loaded
[Xtrain,Ytrain,Xtest,Ytest] = load_data(conf);
% Specified algorithms are used
for ialg = 1:length(conf.machine.algs)
conf.machine.functio... |
dataset_statistics = d([6 7 12 13],:);
sizes = [500 1000 1500 8500;
500 1000 1500 2600;
500 1000 1500 8500;
500 1000 1500 8500];
for i=1:numel(public_datasets_training_validation)
s = sizes(i,:);
datatset = dataset_statistics(i,:);
nonTest = datatset.docs - 1000;
t = s ... |
%read in the results data - you need both the text elements and the numeric elements
[num text]=xlsread('results.xlsx');
%extract the maths, english and history data into vectors
%this data is in the numeric part of the result of xslread
[maths]=xlsread('results.xlsx', 'D2:D31');
[english]=xlsread('results.xlsx', 'E... |
function [ts] = rstart(logicalState, varargin)
% timings = pds.plexon.rstart(word)
%
% Set RSTART pin via (24-bit) datapixx digital outputs
% RSTART pin may depend on pinout of particular datapixx-to-Plexon event cable config.
% ...for whatever reason, our standard cable ties RSTART to Datapixx output pin 18 (==2^17)
... |
function [ cos_i ] = cos_i_func( h_1, h_2 )
% rotate by angle: - acttan(h_2 / h_1)
cos_i = h_1 / sqrt( h_1^2 + h_2^2 );
end
|
clear all; clc; close all
noise = 1;
tau = 0.02;
T = 0.42;
t = tau/2:tau:T - tau/2
ref = importdata('./results/reference_GT/p_drop_ref_h4_C60_est_sin_teman_beta_01.csv')
subplot(2, 4, 1)
A = importdata('./results/pressure_drop/pdrop_h0.1_tau0.02_noise0.csv')
plot(0:0.002:0.45', -ref); hold on
plot(t, A(:,1))
plot(t... |
function v = mat2vec(I)
v = I(1,:);
n = length(I);
for j = 2:n
v = [v , I(j,:)];
end
end |
function [wp_dist_m]=get_wpdist(host, port)
% [WP_DIST_M]=GET_WPDIST(HOST, PORT)
%
% Read distance WP_DIST of aircraft from current waypoint in
% Flightgear over socket connection (HOST, PORT).
% Run Flightgear on HOST (e.g. '127.0.0.1' = localhost) with
% parameter "--props = PORT".
import java.net.Socket
i... |
function [s,c,y] = graphComponents(A)
%GRAPHCOMPONENTS finds the connected components in an undirected graph
%using relaxation.
% [S,C,Y] = GRAPHCOMPONENTS(G) finds the strongly connected components
% using a relaxation algorithm. It is recommended only for SMALL GRAPHS.
%
% A strongly connected component ... |
function A = P_2_A(P, Msize, non_self)
% Given inter-modular connection probability matrix P
% and module size vector Msize, generate full random connection matrix
% based on E-R random graph.
%
% By defualt, no_self = 1 and all of the self-connection entries are
% removed
% Generate node module index
Mnum = length(... |
% test fitting acousto-optic mod split
%%
M = zeros(21,50);
betas = linspace(0,8,50);
ks = -10:10;
for kk = 1:length(betas)
for k= ks
M(k-min(ks)+1,kk) = besselj(k,betas(kk)).^2;
end
end
figure
pcolor(betas, ks, M);
shading flat
%%
load('./optical_mode_data/BTD7O1_1541nm_28dB_blasted_20190801T11... |
function setAxes(handle, numData, simInterval)
intervalsPerHour = 60/simInterval;
startData = numData - 24*intervalsPerHour;
endData = numData;
displayInterval = 4; % show every 4 hours on x axis
tickInterval = displayInterval*intervalsPerHour;
HourTicks = [startData:tickInterval:endData... |
addpath('./TSC1');
t = [0:0.01:500];
x = sin(t);
A = 1.0;
B = [0.1,0.5,0.9];
for Bstep = 1:1:length(B),
fprintf('-- B = %.3f --------------------------------\n',B(Bstep));
y = zeros(length(x),1);
for iter = 2:1:length(x),
y(iter) = A*x(iter-1) + B(Bstep)*rand();
end
xd = zeros(... |
clc;
clear all;
close all;
%rgb image input
%path to sample image to perform convolution
f=imread('C:\User.....');
f=rgb2gray(f); % incase of grey image input
%taking the kernal as input
w=input('Enter kernal values:');
%taking type of padding as input
pad=input('Enter type of padding:\n1.Zero/Clip\n2.C... |
clc
clear
close all
%Izbacen je cevovod tople vode
%%
%Parametri
Cp = 4181.3; %toplotni kapacitet [J/kgK]
ro = 1000; %gustina vode [kg/m^3]
Cdh =0.65; %koeficijent praznjenja ventila za hladnu vodu
Cd1 = 0.65; %koeficijent praznjenja ventila za rezervoar 1
Cd2 = 0.65; %koeficijent praznjenja ventila za rezerv... |
clear
clc
%% Time Specifications:
Fs = 100;
dt = 1/Fs;
StopTime = 1;
t = (0:dt:StopTime - dt)';
N = size(t, 1);
%% Sine Wave:
Fc = 12;
x = cos(2 * pi * Fc * t);
%% Fourier Transform:
X = fftshift(fft(x));
%% Frequency Specifications
dF = Fs/N;
f = -Fs/2:dF:Fs/2-dF;
%% Plot the spectrum:
figur... |
%function: sunriseandsetmeeus.m
%calculates the time of the sun rising and setting for any given day and
%location
%inputs:
%obslong: longitude of the observer's location, in degrees (west =
%positive; east = negative... )
%obslat: latitude of the observer's location, in degrees (north = positive,
%south = neg... |
function [minim,difusiv,efusiv,phi,beta,tiempo] = DE_ajuste(m,bL,bU,Cr,gmax,fob)
tic;
n = length(bL);
% Población ------------------------------------------
X = [rand(m,n).*(bU-bL) + bL];
%
for g = 0:gmax
g++;
% Mutantes -----------------------------------------
V = zeros(m,n);
for i = 1:... |
function [J, grad] = lrCostFunction(theta, X, y, lambda)
%LRCOSTFUNCTION Compute cost and gradient for logistic regression with
%regularization
m = length(y); % number of training examples
J = 0;
grad = zeros(size(theta));
b=X*theta;
h=sigmoid(b);
J=J+((1/m)*((-1*log(h')*y-(log(1-h')*(1-y)))+(0.5*lambda*(theta(2:end... |
% get 2d-coordinate pair from 1d-coordinate.
% columns are stacked on top of one another
% V=[1, 2, 3, 4]
% Vx = 3
% raise_1d_to_2d(2,Vx) = [1,2]
function [y,x]=raise_1d_to_2d(Y,x1d)
if isempty(x1d)
y=[];x=[];return
end
x=(ceil((double(x1d))/double(Y)));
y=(x1d - (x-1)*Y);
end
|
function [D S] = albero(D,S,ind,pesi) % albero: costruisce un albero partendo da un grafo diretto D,
% e da una struttura S con i seguenti campi: nodo1, nodo2, peso.
... |
tic
obj = analysis.void_finder;
obj.loadExpt(2);
obj.loadStream(1,1);
obj.filterCurStream();
obj.findPossibleVoids();
toc |
function dx = fundispnolin(t, x, ffxfy)
dx(1) = x(2);
dx(2) = ffxfy{1}(t,x(1),x(2));
dx(3) = x(4);
dx(4) = ffxfy{3}(t,x(1),x(2))*x(4) + ffxfy{2}(t,x(1),x(2))*x(3); |
%Author: Matthew Mansell (mcm36)
%Tests an input audio file/MFCC data against the each model,
%outputting the closest match.
input = extract_mfccs('ExamplePIN.wav'); %!Use this for audio input!
%input = splitMFCC(MFCCarr, Enarr, 0.075); %!Use this for MFCCarr & Enarr input!
pin = ''; %PIN string holder
%compare again... |
function force = instantforce(t)
global N
if t<0.1
force = [-20;zeros(N-2,1);20];
else
force = zeros(N,1);
end |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This code reproduces stimuli and data analysis from the paper:
%
% Mitchell, Harris, Benstock & Ales (2020). The reliability of pseudoneglect is task dependent. Neuropsychologia
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function test_suite = test_thatFails
initTestSuite;
function test_case
assertTrue(false);
|
function h = computeHistogram(cellMag, cellDir, numBins)
h = zeros(1,numBins);
% The bins will be 0 to 180 (unsigned)
cellDir = cellDir+(pi.*(cellDir<0));
binSize = pi/numBins;
%The bin to which the gradient should fall.
%This number is decimal points. The vote will be decided on which int
%number id closer.
bin = ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function [imgTgtNN, imgTgtNNW, centersSrc, weightsSrc, centersTgt, weightsTgt, flowEMD, pixelShift] =
% recolorImageFromSignatures(imgSrc, imgTgt, indSrc, indTgt)
% Recolors an image by computing color shifts from its signatures.
%
% Input... |
function [ I ] = mutual_info( w1,lambda1, w2,lambda2 )
%MUTUAL_INFO for two Poisson r.v's
% Calculate Mutual Information through numerical approximation
% w1 = weight of Poisson r.v. with mean/rate lambda1
% w2 = weight of Poisson r.v. with mean/rate lambda2
I = poisson_mixture(w1,lambda1, w2,lambda2) - cond_ent... |
% NE PAS OUBLIER : switch2sim
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% mode vertical BUMP FERME en cellule 3 (20 mai 2006)
ORB = setorbitbump('BPMz',[ 3 6;3 7],[-0.3 -0.3],'VCOR',[ -2 -1 1 2 ],'Absolute')
ORB.CM.Delta
ORB.CM.DeviceList
stepsp('VCOR',ORB.CM.Delta,ORB.CM... |
% Signal Generators
%
% pprbs
% prbs
% rampf
% randg
% sgnstp
% sqwave
% stepf
|
function [IM,Impath,Imfile,Imf,Zstack,fig] = LoadImage(varargin)
global IM
u = varargin{1};
v = varargin{2};
if strcmp(u,'small') && strcmp(v,'single')
Zstack = [];
[Imfile,Impath] = uigetfile({'*.*'},'Pick a file');
Imf = imfinfo(fullfile(Impath,Imfile));
if Imf(1).Width > 20000 || Imf(1)... |
function edges = computeMeshEdges(faces)
%COMPUTEMESHEDGES Computes edges array from face array.
%
% Deprecated, use 'meshEdges' instead.
%
% See also
% meshes3d, meshEdges
% ------
% Author: David Legland
% e-mail: david.legland@grignon.inra.fr
% Created: 2011-06-28, using Matlab 7.9.0.529 (R2009b)
... |
function [output] = prediksi(data)
output = '';
if data<25
output = 'cover';
elseif data>=25 & data<75
cekcover = (75-data)/(75-25);
cekstego = (data-25)/(75-25);
if cekcover > cekstego
output='cover';
else
output='stego';
end
else
... |
function [lor_vert,lorst,lor_vol,P,Lsol]=LorenzSet(v,idx,tol)
% LORENZSET determines the Lorenz set of game v.
% The cdd-library by Komei Fukuda is needed.
% It is recommended to install the cdd-library that accompanies
% the Multi-Parametric Toolbox 3.
% http://people.ee.ethz.ch/~mpt/3/
%
%
% Usage: [lor_vert,lorst,... |
function drawBox3d(box, varargin)
%DRAWBOX3D Draw a 3D box defined by coordinate extents
%
% drawBox3d(BOX);
% Draw a box defined by its coordinate extents:
% BOX = [XMIN XMAX YMIN YMAX ZMIN ZMAX].
% The function draws only the outline edges of the box.
%
% See Also:
% boxes3d, drawRect2, drawR... |
function [fData] = bRLCenco_cvip(originalImage,Section)
% bRLC_Compress_CVIP - A bitplane run-length coding compression algorithm.
%
% Syntax :
% -------
% bRLC_Compress_CVIP(fileName,originalImage,Section)
%
% Input Parameters include:
% -------------------------
% fileName - Location of compressed output ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% CH-mechanical coupled equation
% Spectral method with semi-implicit time marching
% Dealiasing--padding aap2.m
% debug version
% 2D model
% Sifan Yin
%
% 2... |
% This file is to calculate the minimal separation between two atoms, and
% there are only two atoms in the atomic set.
%
% Based on [Tang, 2015], [Xu, 2017]
%
% Created by JYI, 11/04/2019
%
%%
% rng(0)
% N = 127; n = N-1; t = 0:n;
% f = rand(3,1);
% AtomSet = exp(sqrt(-1)*2*pi*kron(t',f'));
% aDist = norm(AtomSet(:... |
function results=gab_task_eeg_mergeset(args)
%wrapper function for pop_mergeset from eeglab.
%EEG should already be loaded
global EEG
EEG = pop_mergeset(EEG,1:length(EEG));
results='done'; |
% book : Signals and Systems Laboratory with MATLAB
% authors : Alex Palamides & Anastasia Veloni
%
%
% problem 9 - This script measures the execution time of the functions circonv2.m and circonv3.m
n1=0:10e3;
x1=1.01.^n1;
n2=0:9e2;
x2=cos(n2);
disp ('circonv2')
tic
y=circonv2(x1,x2);
toc
disp ('circo... |
function G = rayxgridfRVC(F, transla, val)
%------------------------------------------------------------------------------
% Multiplies gridfunction F with element of stencil given by its value
% val and its position transla.
% Excess area is filled by Vertex-Centered (VC) Reflection across boundaries.
%
% Design and i... |
function pheromone = updatepheromone(city,ant,pheromone,rho,delta)
%UPDATE THE PHEROMONE MATRIX
len = length(city);
len1 = ant;
for i = 1:1:len
for j = 1:1:len
pheromone(i,j) = pheromone(i,j)*(1 - rho);
end
end
for i = 1:1:len
for j = 1:1:len
for k = 1:1:len1
pheromone(i,j) = ph... |
maindir = '/Users/caoyupeng/Desktop/EEE408/Lab2Material';
subdir = dir( maindir );
for i = 1 : length( subdir )
if( isequal( subdir( i ).name, '.' )||...
isequal( subdir( i ).name, '..')||...
~subdir( i ).isdir)
continue;
end
% subdirpath = fullfile( maindir, subdir( i ... |
% yyyy-MM-dd'T'HH:mm:ss.SSS'Z' time format
degreeSymbol = char(176);
L2datatt = table2timetable(L2Datarawtable2);
figure(1)
newYlabels = {'B_x(nT)','B_y(nT)', 'B_z(nT)','B_tot(nT)','n(#/cc)',['T (' degreeSymbol 'K)'],'V_x(km/s)','V_y(km/s)','V_z(km/s)','V_tot(km/s)'};
L2plot = stackedplot(L2datatt,'Title','THEMIS-B-D... |
function theta = vectorAngle3d(v1, v2)
%VECTORANGLE3D Angle between two 3D vectors.
%
% THETA = vectorAngle3d(V1, V2)
% Computes the angle between the 2 3D vectors V1 and V2. The result THETA
% is given in radians, between 0 and PI.
%
%
% Example
% % angle between 2 orthogonal vectors
% vectorAngl... |
%%% SET INPUT VARIABLES %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Set atmospheric conditions and cycle parameters
T0 = 27 + 273.15; % ambient temp, K
p0 = 1e5; % ambient pressure, Pa
pmax = 250e5; % top pressure, Pa
PRch = 3.0; % charge ... |
% script for process
%% from simulink
X = ScopeData.signals.values;
Fs = 1/0.0001; % sampling frequency from simulink
freq = 100; % frequency of sinusoid
%%
% compute fft for increasing periods
t_period = 1/freq; % signal period
n_samp_period = t_period*Fs; % sample period of signal (samples in one period)1
n = 1 * n_... |
close all;
clc;
%wmask = [1 1 1; 1 1 1; 1 1 1];
%wmask = [1 2 1; 2 4 2; 1 2 1];
r = imread('child2.jpg');
gr = rgb2gray(r);
figure(1);
subplot(1,2,1); imshow(gr); title('Original Image');
%w = gr(1:4,1:4);
[H,W] = size(gr);
new = zeros(H,W);
R=H+2;
C=W+2;
temp = zeros(R,C);
for i=2:R-1
for j=2:C-1
t... |
function landmarks = create_landmarks(nest, visibility, number_landmark)
range_landmark = [nest(1) - 2*visibility, nest(1) + 2*visibility];
landmarks = zeros(number_landmark,2);
for i = 1:number_landmark
x = randi(range_landmark);
if (x == nest(1))
x = x + 1;
end
lim = sqrt(4*visibi... |
function control = galvoOptimizeSignal2(control, feedback, target, ioDelay, ax)
% galvoOptimizeSignal() optimizes the control signal from the feedback
% signal, but there the target voltages refer to the control signal itself.
% Thus, the scale, offset, and IO delay are compensated for before
% computing the error. Th... |
clear all;
BG=csvread('compressed/color/train/BG.csv');BG=reshape(BG',200*17120,1);
CG=csvread('compressed/color/train/CG.csv');CG=reshape(CG',200*17120,1);
TG=csvread('compressed/color/train/TG.csv');TG=reshape(TG',200*17120,1);
Human=csvread('compressed/color/train/Human.csv');Human=reshape(Human',200*17120,1);
Human... |
%%
% COURSE: Signal processing problems, solved in MATLAB and Python
% SECTION: Time-domain denoising
% VIDEO: Gaussian-smooth a time series
% Instructor: mikexcohen.com
%
%%
%% create the signal
% create signal
srate = 1000; % Hz
time = 0:1/srate:3;
n = length(time);
p = 15; % pole... |
allKeys=keys(mapOfCompToVarshaCategory);
k=0;
j=0;
m=0;
for i=1:length(allKeys)
if isequal('help',allKeys{i}), continue, end
value=mapOfCompToVarshaCategory(allKeys{i});
ptr=pointerFromAtoC(allKeys{i});
if size(ptr,1)<=3, continue, end
if length(find(abs(cell2mat(value(:,2)))==1))==1
... |
//
// MyoSDKTests.m
// MyoSDKTests
//
// Created by Michael Yagudaev on 10/17/2014.
// Copyright (c) 2014 Michael Yagudaev. All rights reserved.
//
|
%% VVX-lab.
%% Derivatafil med n st T (i vvx) + ipart för regulator
%%
function der = labtest(t,in,flag,regpar,vvxpar)
rho = vvxpar(1);
cp = vvxpar(2);
Fk = vvxpar(3);
Fv = vvxpar(4);
k = vvxpar(5);
Tkin = vvxpar(6);
Tvin = vvxpar(7);
Atot = vvxpar(8);
Vtot = vvxpar(9);
regk = regpar(1);
i... |
function [xmin,vars,costmin,LOG]=nesterov_solver(x0,vars,data,opts)
% [x,cost,vars]=iterative_solver(x0,vars0,data,opts)
% function doing function executing iteratively an update function until
% convergence conditions
% input:
% x0 : value of x before the descent (x is a column vector)
% vars0: stucture needed by ... |
function limitProb = limitPi_j( jcolumn, m ,lambda ,T)
limitProb = 0 ;
if jcolumn == 0
limitProb = 1/L1(m ,lambda ,T) ;
elseif jcolumn == 1
limitProb = ( 1/L1(m ,lambda ,T) ) * ( 1- exp(-lambda* T ) ) ;
else
limitProb = ( 1/L1(m ,lambda ,T) ) * ( 1- exp(-lambda* T )... |
function [cx, cy, cz] = component(a, b, jv, x, y, z) %e
[m,n] = size(x);
syms r1 r2 c1 c2;
if a == 1
r1 = m;
else
r1 = a - 1;
end
%%%%%%%%%%%%%%%%%%%%%%%%%
if b == 1
c1 = n;
else
c1 = b - 1;
end
%%%%%%%%%%%%%%%%%
... |
function p = predict(model,filename)
% The following code reads in one of these emails and then uses your
% learned SVM classifier to determine whether the email is Spam or
% Not Spam.
% Read and predict
filename=strcat('./TestEmails/',filename);
file_contents = readFile(filename);
if(size(file_contents,1)==... |
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