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clc; img1=imread('./rect.bmp'); J = fft2(img1); %FFT J = fftshift(J); %spectrum shift frequency to origin L=abs(J/256); subplot(2,3,1); imshow(img1); title('original image'); subplot(2,3,4); imshow(uint8(L)); title('original image in frequency domain'); img2=imread('./rect-45.bmp'); J2 = fft2(img2); %FFT J2 = ...
function leg=get_legend_weight(measurement) leg = strjoin({'m = ' strjoin({num2str(measurement.mkg, '%0.3f') 'kg'}, '')}, ' '); end
function s = str2str(s) % Copyright 2010 The MathWorks, Inc. s = ['''' s ''''];
%% Test Lagrangien Augmente sur tho %flag, x0, l0, f, c, grad_f, deriv_c, hess_f, d2c, kmax clear all close all format long [f, grad_f, hess_f] = f2(); x0=[sqrt(3)/2;sqrt(3)/2]; % x0=[1;0]; nb_max=50; nbmax_sp=50; l0=1; delta_0=1; delta_max=10; global mu0 nt0 a b; a=0.1; b=0.9; mu0=10; nt0=0.1258925; n=50; [ c, de...
% the following part is only valid in R2017a version, i.e. function in % script % load mcmc results % mcmc_data_folder = '../results/TripleFit/'; % mcmc_data_folder = '../results/fixOverlap/'; % mcmc_data_folder = '../results/secondFixOverlap/'; mcmc_data_folder = '../results/HJYaddHXTcomp/'; % mcmc_data_folder = '../...
clc; clear; close all; a=5; b=6; c=a+b; disp(c);
%% Define Feedforward Convolutional Code SNR_dB = 3 LM = 1600 % Mesg Length excluding pre-determined bits for starting & ending trellis at state 0 TREL_TYPE = 'Feedback' % {'Feedback', 'Feedforward'} %% Matlab Generator Polynomial convention % Build a binary number representation by placing a 1 in each spot w...
function sort_lines(file_path) % sort_lines(file_path) % sort lines in file alphabetically fprintf('Sorting lines of [%s] ...', file_path); fid = safefopen(file_path); text = textscan(fid, '%s', 'Delimiter', '\n'); % sort each line text = text{1}; text = sort(text); % save sorted lines fid = safefopen...
close all; clear; clc; format long; disp('ZADANIE 5'); % blad absolutny blad = 0.0005; % przedzial calkowania a = 0; b = 1; % funkcja podcalkowa f = inline('exp(x)'); % dokladna wartosc calki I = exp(b) - exp(a); % maksymalna liczba podprzedzialow mmax = 10000; disp('METODA TRAPEZOW'); for ...
function out = earm2_embedded_odes(t, input, param) % input(1) = L(bf=None); % input(2) = R(bf=None); % input(3) = flip(bf=None); % input(4) = C8(bf=None, state=pro); % input(5) = BAR(bf=None); % input(6) = Apaf(bf=None, state=I); % input(7) = C3(bf=None, state=pro); % input(8) = C6(bf=None, state=pro); % input(9) = C...
function [f] = fitting_function(X, a, b, c, x0, y0) %FITTING_FUNCTION Function for fitting the RF bounding box x = X(1); y = X(2); f = exp(-(a*(x-x0)^2 + 2*b*(x-x0)*(y-y0) + c*(y-y0)^2)); end
function varargout = UploadImages(varargin) % UPLOADIMAGES MATLAB code for UploadImages.fig % UPLOADIMAGES, by itself, creates a new UPLOADIMAGES or raises the existing % singleton*. % % H = UPLOADIMAGES returns the handle to a new UPLOADIMAGES or the handle to % the existing singleton*. % % UP...
function [SX, AG] = processphenotype(data_name, path) % Extract age and sex of the subject if (strcmp(data_name, 'mindboggle')) mindsourceinfo = readtable(path); [idx,~] = find(strcmp(no_file(id).name(1:end-7),mindsourceinfo{:,1})==1); if (strcmp(mindsourceinfo{idx,2},'M')) SX = ...
function UKF_weights_test() n = 4; alpha = 0.1; beta = 2; kappa = 1; weights = UKF_weights(n,alpha,beta,kappa); Wc_test = [-76.0100 10.0000 10.0000 10.0000 10.0000 10.0000 10.0000 10.0000 10.0000]; Wm_test = [-79.0000 10.0000 10.0000 10.0000 10.0000 10.0000 10.0000 10.0000 10.0000]; ...
function [theta, delta] = dcbm_theta_update_spingarn(d,tau,varargin) %function [theta, delta] = dcbm_theta_update_spingarn(d,tau,alpha,VERBOSE) parser = inputParser; parser.KeepUnmatched = true; addOptional(parser,'alpha',1) addOptional(parser,'VERBOSE',0) parse(parser, varargin{:}); alpha = parser.Results.alpha; VER...
function d = dist_M_spd(X,Y) V = logmap_spd(X,Y); d = sqrt(innerprod_TpM_spd(V,V,X)); %% This version will be faster. %rtX = sqrtm(X); %tmp = logm(rtX*Y*rtX); %d = sqrt(trace(tmp*tmp)); end
function [dta,bheader]=getblock(file,np,n) %file: file to read block from %dta: returned block %bheader: returned fid block header information for the last block that %was read bheader=struct('scale',{0},'status',{0},'index',{0},'mode',{0},'ctcount',{0},'lpval',{0},'rpval',{0},'lvl',{0},'tlt',{0...
% for i=1:length(taggedGroups{1}) % beds % for j= % % % % end % end allKeys=keys(mapOfCompToVarshaCategory); numberOfBedsInScenes=zeros(0); objectsNearBedInOneBedScenes=zeros(0); for i=1:length(allKeys) value=mapOfCompToVarshaCategory(allKeys{i}); if ~isequal('help',allKeys{i}) i; ...
% Zadatak: % Napisati algoritam i kod u Matlabu koji ce da izracuna zbir svih % pozitivnih elemenata vektora. function output = SumaPozitivnihElemenata(vektor) output_sum = 0; for i = 1:length(vektor) current_element = vektor(i); if current_element > 0 output_sum = output_sum + current_element; end end output...
clear path = '/Users/pyeror/Work/transfert/PreventAD/group_motion_adni/'; file_template = 'subject[0-9]*_session1_r1d[0-9]*'; [tab,labels_x,labels_y,labels_id] = niak_read_csv([path 'qc_scrubbing_group.csv']); sub = 0; for n = 1:length(labels_x) in_string = labels_x(n); start = regexp(in_string, ...
function p = random_param_generator(sets, model, varargin); % this gets called by optimize_fcn. any others? fixed_params = []; generating_flag = false; assignopts(who,varargin); if generating_flag lb=model.lb_gen; ub=model.ub_gen; else lb=model.lb; ub=model.ub; end contrast_type = 'new'; switch contr...
function [hp]=patchNormPlot(varargin) % function [hp]=patchNormPlot(F,V,a,pathType) % % Simple function to plot surface normal vectors with magnitude a for the % patch data specified by the faces F and vertices V. The option third % input patchType sets the type of surface normal to use, i.e. the face % normal ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % Author: Hamza Bourbouh <hamza.bourbouh@nasa.gov> % Notices: % % Copyright @ 2020 United States Government as represented by the % Administrator of the National Aeronautics and Space Administration. All % Rights Reserved. % % Disclaimers % % No Warranty:...
function recordComment(varargin) % Call to record a comment % Inputs: % (Optional) handle to imlook4d handles (assume gcf if not specified) % string % if nargin == 2 comment = varargin{2}; imlook4d_current_handles = varargin{1}; else imlook4d_current_handles...
% ===Generate tansmitted and recieved signals % ---Setting parameters R = [1.e3, 2.e3, 3.e3] A = [0.5, 1.0, 0.8] Kr = 4.1e+11 Tp = 37.0e-06 Br = abs(Kr) * Tp alp = 1.24588 % 1.1-1.4 Fsr = alp * Br Fc = 5.3e9 Fc = 0. Tsr = 5.1 * Tp Nsr = int(Fsr * Tsr) t = linspace(-Tsr / 2., Tsr / 2, Nsr) f = linspace(-Fsr / 2., F...
% Carries out 3 trials each, with 6 different trainings, and saves % the resulting raster plots of W1 in a series of files. Also counts % the number of neuron firings in W1 due to C2 and C3 in the post- % competitive epoch (from 155ms to 205ms), and saves the result in a % file PCE = []; for training = 1:12 seed1 = ...
%% % Author: Amoiensis % Email:Amoiensis@outlook.com % Date: 2019.10.08 % Homework 10.08 % Course: Computational Method %% function [y] = LaGrange(X,Y,position) %Give accurate X<Vector>,Y<Vector> and position<scalar> value, and return the LaGrange_Fuction(positon)<scalsr> value. % 输入用于拟合的 X、Y值(向量)和 待估计点的值,返回该点拉格朗日插值法估计...
function [ dtheta ] = eqns1( t, theta, Io, m,g, R, alpha, b, c, ag, omega, phi, Tex, Fp,signf) dtheta=zeros(2,1); ddu=ag*sin(omega*t+phi)*heaviside(Tex-t); % y=heaviside(x) if x<0, y=0; if x>0,y=1. term1=m*g*R*sin(alpha*signf-theta(1)); term2=c*theta(2)*(2*b*cos(theta(1)/2))^2; term3=Fp*b*signf*cos(theta(1)/2); ter...
function setversion(version,release) %SETVERSION Set the version of AT % %SETVERSION() % Keep the version number and try to get a release string from the "pull % request" number. If not available, the release is set to 'atcollab'. % %SETVERSION(VERSION) % Set a new version number. The release is set to 'atcollab'...
function [ ls ] = logSum( x ) pi=max(x); ls=pi+log(sum(exp(x-pi))); end
load swissRainfall.mat normplot(swissRain(:, 1)) print('proj1/normplot_data', '-deps') close normplot(sqrt(swissRain(:, 1))) xlabel('sqrt(Data)') print('proj1/normplot_sqrt_data', '-deps') close normplot(log(swissRain(:, 1) + 1)) xlabel('log(Data + 1)') print('proj1/normplot_log_data', '-deps') close
function [c1,F1,Fr] = analyzeP31() % % this analysis tool was used for Ascorbic Acud Project to plot the % phosphorous spectra taken over time for a given perfused lung. % % File created: 2/20/2013 by Mehrdad Pourfathi % % Update 1: 1 2/21/2013 by Mehrdad Pourfathi % %% Load FIle clear all % Experiment parameters....
% % CREATE TABLE t_transducer % ( % transducer_pkey SERIAL PRIMARY KEY, % % transducer_manufacturer TEXT, -- Transducer manufacturer (ICES instrument_transducer_manufacturer) % transducer_model TEXT, -- Transducer model (ICES instrument_transducer_model) % transducer_beam_type_key INT, -- For example "single-be...
% This function generates normalized rayleigh samples based on Inverse DFT % method as was proposed by David J. Young, and Norman C. Beaulieu % "The Generation of Correlated Rayleigh Random Variates by Inverse % Discrete Fourier Transform, " % Sample Use: % chan=genRayleighFading(512,ceil(10000/512),1e4,100); %...
function [im, skin_mask, I] = detect_skin(I) if nargin < 1 I = imread('img.jpg'); [im, skin_mask] = detect_skin(I); imshow(im,[]); imshow(skin_mask,[]) im = []; skin_mask = []; return end [hue, s, v]=rgb2hsv(I); % YCbCr per ITU Rec. 601, the following equations, correct to three decimal places, can be ...
function h = apply_lims_and_save( filename, kind, lims, varargin ) params = struct( ... 'formats', {{ 'eps', 'svg', 'png' }} ... , 'append', [] ... ); params = parsestruct( params, varargin ); h = dsp__load_and_apply_limits( filename, kind, lims ); if ( ~isempty(params.append) ) filename = sprintf( '%s_%s', ...
function varargout = FECG_GUI(varargin) % FECG_GUI MATLAB code for FECG_GUI.fig % FECG_GUI, by itself, creates a new FECG_GUI or raises the existing % singleton*. % % H = FECG_GUI returns the handle to a new FECG_GUI or the handle to % the existing singleton*. % % FECG_GUI('CALLBACK',hObject,ev...
function [x,VoicedVector] = CodeSpeech1(wavname) % Sample file to code the active speech frames x = wavread(wavname); % % % FID = fopen('CodedData.cod', 'w'); CActive = 1; CSilence = 0; CSID = 2; Ns = length(x); %Number of samples NsFrame = 80; % Frame size (10ms) --- NEED TO CHANGE FOR NsLA = 40; ...
function get_harm_dir(directory,F0,wid,thr) % %function get_harm_dir( directory [, F0, wid, thr ] ) % % Applique la fonction GET_HARMONICS a tous les fichiers wav %contenus dans le repertoire 'directory'. Attention, a ne lancer %que le soir avant de partir si le repertoire contient plus d'une %dizaine de fichi...
function [header,data] = load_mbs_results_struct(filename) [fid, message] = fopen(filename); if fid == -1 disp(message) return end % read in the first 14 lines - these contain various header bits. line = fgetl(fid); while ~contains(line,'#') [t,r]=strtok(line, ':'); if strcmp(t,'number_of_regions') ...
% create invt list and hamming distance table for hash % z.li, 2017/07/07, started % input: % q - query hash % r - hamming distance % indx - hash index, precomputed with getHashIndex() % output: % hoffs - offset in the hash table function [hoffs,dist,offs,vlist]=fastHashSearch(q, r, indx) dbg=0; if dbg n=1...
load PS4_info_1st20.mat load initial_trans.mat t = tnew; tstep = t(2)-t(1); R_earth = NormREarth; R_sun = NormRSun; mu_sun = 1.32712440018e11; mu_earth = 3.986004418e5; Ix = 184.9343576; % kg * m^2 Iy = 321.8711548; % kg * m^2 Iz = 423.2775247; % kg * m^2 I = [Ix 0 0; 0 Iy 0; 0 0 Iz]; C = initial_trans; beta4...
% we can train a nn - save net, load net and use it for prediction %digitDatasetPath = fullfile('D:\Sabha\Test\train'); digitDatasetPath = fullfile('D:\Sabha\Test\Training_dataset_2700'); imds = imageDatastore(digitDatasetPath, ... 'IncludeSubfolders',true,'LabelSource','foldernames'); labelCount = co...
% ------------------------------------------------------------------ % --- OS4 ---- % % This Program shows the initial window for the obstacle avoidance % procedure developed for the OS4 helicopter. % % Developed by Marcelo Becker & Samir Bouabdallah % % ...
function [SimulationMatrix,Pges_max, Nmax] = FillBigMatrix(BusArray,dt,worstCase) arrtime=datetime('00:00:00','InputFormat','HH:mm:SS'); deptime=datetime('07:00:00','InputFormat','HH:mm:SS'); timediff =etime(datevec(deptime),datevec(arrtime)); dtm=fix(timediff/dt)+1; [~,sz] =size(BusArray); SimulationMatrix=zeros(sz+2,...
clc; clear; nps=43;%43个人 result=zeros(1,1); %读取训练数据% [f_matrix,tclass]=readface(nps,0); nfaces=size(f_matrix,1);%人脸的数量 %pca特征降维% mA=mean(f_matrix);%平均数 k=80;%维度 [pcaface,V]=fastpca(f_matrix,k,mA); %训练数据scaling化% lowvec=min(pcaface); upvec=max(pcaface); pcaface = scaling( pcaface,lowvec,upvec); %样...
function [varexp,B,BINT,R,RINT,STATS] = regress_fine_template(session_dir,runs,hemi,template,cluster) % Run linear regression using a retinotopic template and movie correlation % data % % Usage: % [B,BINT,R,RINT,STATS] = regress_template(areas_template,movie_mat,corr_mat) % % Written by Andrew S Bock Aug 2015 %...
function [message_rank, numeric_tag, string_tag] = MPI_Probe(source, tag, comm) % MPI_Probe - Returns a list of all messages waiting to be received. % % [message_rank, numeric_tag] = MPI_Probe(source, tag, comm) % % Source can be an integer or a wildcard '*'. % Tag can be an integer or a string, includi...
function [M,linearInd]=subImage(M,nSub) % function M=subImage(M,nSub) % ------------------------------------------------------------------------ % %This function refines the input image M by splitting its voxels in half during nSub times %which contains all folders and sub-folders within the folder specified by ...
clc, clear all data = inriaData; name = {'Go','Si'}; for i = 1:numel(name) params = load(['results/optimize/inriaParameters' name{i}]); params.loggerBinFilter = handler(emptyLogger); [~] = inriaOptimizeEnum(data,params.diaryFile,params.loggerBinFilter,... params.method,params.svmArgs,'binFilter',...
%% Classification by multiclass SVM-C % Using radial basis kernel function [accuracy, predicted_labels] = classifier_multiclassSVM(trainingData, trainingLabels, testingData, testingLabels) % train 10 fold cross-validated multiclass SVM addpath('libsvm-3.20/matlab'); model = svmtrain(trainingLabels, trainingData, '-t 2'...
stiff=load('Job-1_STIF1.mtx'); mass=load('Job-1_MASS2.mtx'); num_nodes=3636; % Ms=sparse(mass(:,1),mass(:,2),mass(:,3)); % Ks=sparse(stiff(:,1),stiff(:,2),stiff(:,3)); Ks1=zeros(num_nodes); for i=1:size(stiff,1) Ks1(stiff(i,1),stiff(i,2))=stiff(i,3); end Ms1=zeros(num_nodes); for i=1:size(mass,1) Ms1...
function new_data = set_threshold(original_data, threshold) new_data = original_data; a=find(abs(original_data(1,:))<threshold); new_data(1,a)=0; b=find(abs(original_data(1,:))>=threshold); new_data(1,b)=1; end
%Anonymise results %Set a seed rng(1234); %Anonymise individual results files d = dir('./Results_All'); id_list = []; for n = 1:length(d) if d(n).isdir == 0 load(['./Results_All/' d(n).name]); %generate random identifier id = randi(2^16,1); %If id is in the list generate until a n...
% pVnRT asks the user for two quantities out of % p, V and T, and gives the remaining one % using the equation pV=nRT % James Clark 10/10/2014 % units: t_units = 'degrees Kelvin'; v_units = 'in m^3'; p_units = 'in Pa'; % constants used in calculation: n = 1; R = 8.315; % ask user for t, p or v initally ...
clear clc close all % USER-DEFINED PARAMETERS filename = 'data.2d'; filedir = 'Z:\Data\AST\Additives\CPMG_FT_Sample66_Oct2\5\'; omitEchoes = 0; %front-end echoes to omit G = 23.87; %T/m zf = 2; %levels of zero-filling % END USER-DEFINED PARAMETERS fileloc = strcat(filedir,filename); parloc = strcat(filedir,'acqu.pa...
%% URINSEV: Sensitivity analysis, switches plot and random subject fit plotting % change the truth id accordingly when analyzing different simulations % -FTSC %% loading clustering result clear; clc; yvar = 'urinsev'; YVAR_path = 'URINSEV'; YVAR_plot = 'Urinary Severity First Period'; period = '4to24\'; %% Data ...
function ret = sortCards(cards) %SORTCARDS 此处显示有关此函数的摘要 % 此处显示详细说明 load('CARDS.mat') ranks = []; [~, size_t] = size(cards); for i=1:size_t ranks(end+1) = CARDS2RANK(cards(i)); end ranks = sort(ranks,'descend'); ret = CARDS(ranks); end
% Matlab program function B = principal_component_analysis(X, k) % Input: X, p*n data matrix, p 個 features 以及 n 個 samples % k, 要降到的維度, k 為正整數, k<n % Output: B: k*n data matrix, k 個 features 以及 n 個 samples [~, n] = size(X); % p 個 features 以及 n 個 samples mu = sum(X, 2)/n; ...
function [overlapbinstep,binoverlapzero,binoverlapzerointensity,binoverlapzeroarea,binoverlap,binoverlapintensity,binoverlaparea]=... Binning(input_binnumber,input_startpoint, input_endpoint, input_data,input_intensity,input_area) overlapbinsize=(input_endpoint-input_startpoint)/input_binnumber; overla...
%% impressao.m %% %% [IACC] = impressao(ir_dir,ir_esq,t1,t2,Fs) %% %% Evaluates the "interaural cross correlation" (iacc) of a binaural %% impulse response. %% The inputs are the right ear impulse response (ir_dir), left ear impulse %% response (ir_esq) and its sampling frequency Fs. t1 is the integration %% l...
% Name: Brendan Higgins % Date: 09/14/16 % Class: ME570 - Robot Motion Theory % Assignment #1 %% Question 1.3 - Triangle Test Function function [] = triangleTest() % The purpose of this function is to generate a random triangle by calling % the "triangleDraw" function and then generate 100 random points and % determin...
%%%%%%%%%%%%%%%%%%%%%% %%MMC - TP1 %% %%Yann LE GUILLY %% %%%%%%%%%%%%%%%%%%%%%% close all;clear;clc; d=1; L=5; A=d*d; E=210e9; nu=1/2; lam=(E*nu)/((1+nu)*(1-2*nu)); mu=E/(2*(1+nu)); %On construit les points pour tracer la barre que l on va etirer ttM=[... +d/2,-d/2,0;... -d/2,-d/2,0;... -d/2...
function [xlist, vxhat,vyhat,dhat,dxvx,dxvy,dxd]=getmeans2(dat,plotflag) x=dat(:,1); y=dat(:,2); d=dat(:,3); vx=dat(:,4); vy=dat(:,5)+1.5.*x; %vy =dat(:,5); xlist=unique(x'); ylist=unique(y'); Nx=length(xlist); Ny=length(ylist); Lx = max(xlist)-min(xlist); for i=1:Nx ind = find(x == xlist(i)); vxhat(:,i) = fft(vx...
% % CircleObjectDetector % classdef CircleObjectDetector < ObjectDetector %ObjectDetector Summary of this class goes here % Detailed explanation goes here properties objectRadiusMin; objectRadiusMax; objectPolarity; objectSensitivity; rgbImg; e...
function [ G,gWinLen ] = genGaborKernelF( mu,nu,sigma,scaleXY,imgSz ) % [G GWINLEN] = genGaborKernelF( MU,NU,sigma,scaleXY,imgSz ) % G = FFT{ genGaborKernel(MU,NU,sigma,scaleXY) } % imgSz is the size of the image. In order to avoid loop noise of FFT, % size(G{1}) will be 2^nextpow2(max(imgSz)+kernal_size-1) % GW...
function result = degrees( A ) %DEGREES Returns degrees for each node of adjacency graph result = sum(adj(A)~=0, 2); end
function CB1 = GOLD_code() G1=[0 1 0 1 0 1 0 1 0 1 0]; G2=[0 1 0 1 0 1 0 1 0 1 0]; c_out=[]; for i=1:2046 G1=[ mod( sum([G1(1),G1(7),G1(8),G1(9),G1(10),G1(11)]),2 ) , G1(1:10) ]; G2=[ mod( sum([G2(1),G2(2),G2(3),G2(4),G2(5),G2(8),G2(9),G2(11)]),2 ) , G2(1:10) ]; c_out(i)=mod( sum([G1(11),G2(6),G2(11)]) ,2...
function [yx] = FFD3(y, hx) % use 2nd order FFD yx = 1/(2*hx)*(-11*y(:,1:end-3) + 18*y(:,2:end-2) - 9*y(:,3:end-1) + 2*y(:,4:end)); end
% imagebinRP.m % Averages 2D image into "bins" of mxm pixels, i.e. rescaling by 1/m % If N is not an integer multiple of m, ignore "remainder" pixels at % right, bottom edges % Similar to imresize, but more reliable since avoids "unknown" filtering % Inputs: % A = input image (can be double, uint8, or uint...
function f = parIVMDoseResponseErr(model) global taucurve semtaucurve Icurve semIcurve IVM=[0,0.3,1,3,6,10]; % taucurve=[0.9,0.9,2.8,11.9,16.1,16.6].'; % semtaucurve=[0.0567,0.0567,0.1129,1.8645,0.5084,4.0115].'; % taucurve=[0.19,0.19,1.8,12.1,16.7,16.9].'; % semtaucurve=[0.0567,0.0567,0.1...
% % % Analyze Language History Questionnaire clear all; close all; clc group = 'Ita-Sard'; coded = 1; if coded == 0 % read the logs logfile = dir('Lang_Quest_Ita_Sard-*.csv'); logfile = sort_nat({logfile.name}).'; for s = 1:length(logfile) [na, txt, whole]= xlsread(char(logfile(s))...
% oscC00NC.m % 190524 Matlab 2018b % SIMULATION OF THE MOTION OF N COUPLED OSCILLATORS % DYNAMICS OF CRYSTAL LATTICES % All parameters are changed within the Script % [default values and units] % DOING PHYSICS ONLINE % https://d-arora.github.io/Doing-Physics-With-Matlab/ % Scripts % http://www.physics.usyd.e...
function [ edge_mag, edge_dir ] = prewitt_ed_cvip( input_image, kernel_size ) % PREWITT_ED_CVIP- perform prewitt edge detection % % SYNTAX : % ------ % [ edge_mag, edge_dir ] = prewitt_ed_cvip( input_image, kernel_size ) % % Input Parameters include : % ------------------------ % 'input_image' Inpu...
cd c:/shared/audio/s2 ; ls clear all ; close all sets=dir('*sound*vhdr') ; for s=1:length(sets) EEG = pop_loadbv('.',sets(s).name) ; EEG = pop_chanedit(EEG,'lookup','C:\eeglab10_0_0_0b\plugins\dipfit2.2\standard_BESA\standard-10-5-cap385.elp') ; EEG = pop_resample(EEG,500) ; if s==1 ; merged = EEG ; ...
function triangles = polygon_triangulate ( n, x, y ) %*****************************************************************************80 % %% POLYGON_TRIANGULATE determines a triangulation of a polygon. % % Discussion: % % There are N-3 triangles in the triangulation. % % For the first N-2 triangles, the first edg...
## Copyright (C) 2021 Robertson ## ## This program is free software: you can redistribute it and/or modify ## it under the terms of the GNU General Public License as published by ## the Free Software Foundation, either version 3 of the License, or ## (at your option) any later version. ## ## This program is dist...
%@(#) ccplot.m 1.25 05/12/12 14:47:35 % function ccplot(matvar) set(gcf,'pointer','watch'); handles=get(gcf,'userdata'); hpl=handles(2); if gca~=hpl, axes(hpl);end ud=get(hpl,'userdata'); [iu,ju]=size(ud); axtyp=ud(1,:); plottyp=ud(2,:); clmap=ud(3,:); dname=ud(4,:); distfile=ud(5,:); option=ud(6,:); cminstr=ud(...
function [laneID] = isOnLaneSection(obj,point) %ISONLANESECTION Check if a point is located within a laneSection % Return the laneID % %---------------------------------------------------------------------- % BSD 3-Clause License % % Copyright (c) 2020, Jonas Wurst, Alberto Flores Fernánde...
function [ output_args ] = CHECK( a ) %CHECK Summary of this function goes here % Detailed explanation goes here output_args = ~bitand(1, a); end
clc clear all fprintf ('\t\t\t\t\t\t\t\t Escuela politecnica del Ejercito') fprintf('\n\t\t\t\t\t\t\t\t\t Procesos estocasticos') fprintf('\n\t\t\t\t\t\t\t Ejercio 1 variable aleatoria') fprintf('\n\t\t\t\t\t\t Nombre: Felipe Leon'); fprintf('\n\t\t\t\t\t\t Curso: 5to ETE B '); k=[0:1:15]; l=10; %lambda e1=exp(-l); %...
clear all figure hold on init_Constants disp('Testing on the left side of the field') Robot.x = 0; Robot.y = 0; Robot.theta = 0*deg; R = 5; table = []; for alfa=0*deg:10*deg:350*deg, carrot.x = cos(alfa) * R; carrot.y = sin(alfa) * R; [angle, distance] = calcAngleandDistance_v...
function [data,domain,ID]=GetDataL1M; data=[]; domain=[]; ID=[]; xdim=1024; ydim=512; eps=0.01; atype=1; xtype=1; ntype=1; xmax=inf; nnul=ceil(sqrt(xdim)); nnulprob=nnul/xdim; normalize=0; nxny=[32,32]; while(1==1) strXdim=sprintf('x-dimension: %1d',xdim); strYdim=sprintf('y-dimension: %1d',ydi...
function [F1, F2] = lower_constraint_dPsi(Y_0, Y_end, dy, dy_constr1) delta = Y_end(1) - Y_0(1); c0 = Y_0(2); c1 = Y_0(3)/Y_0(2); Ma = [delta^2 delta^3; 2*delta 3*delta^2]; Mb = [Y_end(2) - c1*delta - c0; Y_end(3)/Y_end(2) - c1]; Mc = inv(Ma)*Mb; c2 = Mc(1); c3 = Mc(2); y=Y_0(1):dy:Y_end(1);...
%% Quick Test : Classify a single feature clc clear all close all load SubSetNormalizedFeaturesSet2.mat y=SubSetNormalizedFeaturesSet2; clear SubSetNormalizedFeaturesSet2; % load NormalizedFeaturesSet2.mat % y=NormalizedFeaturesSet2; % clear NormalizedFeaturesSet2; num_features=size(y,2)-1 [class1, class2 ,class3]...
clc; close all; clear all; % load first_order; load high_order; y1 = y; y2 = de_abnormal_1(y,10); [ts,Mp,fai,tr,tp,ys,text]= value(y2,t(2)-t(1)); plot(t,y2,'y-','linewidth',5); hold on; [lp,m]=size(y2); if m>lp lp = m; end dt = t(2)-t(1); k=ys; T=0; Point_T040 = 0.40*ys; Point_T080 = 0.80*ys; s...
function left_impact_constraints(nlp, src, tar, bounds, varargin) plant = nlp.Plant; % fist call the class method plant.rigidImpactConstraint(nlp, src, tar, bounds, varargin{:}); % Don't need time continuity constraint removeConstraint(nlp,'tContDomain'); end
function general_adaption_scipt global reynoldsnumber nu Lref alpha TEmax curiter curfeval fidhistory ... leftbndry rightbndry method freq_history forward_mapping TEtolerance % clear % clc %% Setup executable path working_dir = '/home/roycfd/Tyrone/burgers-mesh-optimization/'; exe_path = [working_dir,'libra...
%M4.6) Causal IIR filter % https://ece.uwaterloo.ca/~ece413/HW/Solution1.pdf % https://uk.mathworks.com/help/ident/ref/bode.html TF close all; clear all; k = 1; for w = 0:0.01:2*pi %frequency range z=exp(-1i*w); %Transfer function H(k)=(0.0534.*(1+z.^(-1)).*(1-1.0166.*z.^(-1)+z.^(-2)))./... ...
clearvars Folder='E:\F8Se2 July\08042020\apd'; codefolder=pwd; cd(Folder) names=struct2cell(dir('p*d*d.txt')); n=names(1,:);n_length=length(n); for i=1:n_length new=genvarname(n{1,i}(1:end-4)); eval([new '=importdata(names{1,i});']); end clearvars names n names=struct2cell(dir('*d*dp*')); n=names(1,:);n_length...
function [f,nf]=getfreq(fnamefr,fs); % % functia citeste primele numere prime care sunt mai mici dacat jumaate % din frecventa % f1=load(fnamefr,'-ascii'); m1=length(f1); fmax=fs/2; j=1; while (j <= m1) & (f1(j) <=fmax) f(j)=f1(j); j=j+1; end nf=j-1; %
% Example of using Moran's eigenvector maps (MEM's) in spatial ecology % % by David L. Jones, May-2008 % % This file is part of the FATHOM Toolbox for Matlab and % is released under the GNU General Public License, version 2. % File: '.../examples/spacemaker.mat' % File: '.../examples/oribatid_mites.mat'' % -----Note...
function v=vecshd(v,u); %usage: vec=vecshd(v,u) % %shift down a vector v, pad with u or zero. % Programmed 1994 by Niels K. Poulsen % Department of Mathematical Modelling, % Technical University of Denmark % n=max(size(v)); v(2:n)=v(1:n-1); if nargin==1, v(1)=0; else v(1)=u; end
% This code takes in input a Data.csv file with one line og header and 7 % data columns. clear all close all clc %DataTab = readtable('Data.csv') ; %% % Reading CSV file with standard format. From first to 7th column we read: % integers, string, string, string, floating, floating, floating IDf = fopen('Data.csv') ; ...
% Example of dummy coding categorical variables for regression analysis % % by David L. Jones, Oct-2010 % % % This file is part of the FATHOM Toolbox for Matlab and % is released under the GNU General Public License, version 2. % Create some categorical variables: var_01 = [ones(12,1);ones(12,1)+1] % 1 ...
function [ EB Psi r ] = qp_fh( pqn, L, m_L ) % Solution of Schrodinger Equation for hydrogen atom % INPUTS +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ r_max = 20e-10; % if pqn > 3 % r_max = 40e-10; % end Z = 1; num = 901; % must be odd number % CONSTANTS ++++++++++++++++++++++++++++++++...
function compute_gamma_M_vector(obj, estimator) if isempty(obj.gamma_M) obj.gamma_M= estimator.gamma_k; for i= 1:obj.M n_start= estimator.n_k + sum( obj.n_ph(1:i-1) ) + 1; n_end= estimator.n_k + sum( obj.n_ph(1:i) ); obj.gamma_M( n_start:n_end )= obj.gamma_ph{i}; end else % updat...
function p = ortotest(u, reg, lags) z = size(u,1); rog = [ones(z-lags,1)]; for j=1:lags rog = [rog reg(lags+1-j:end-j,:) ]; end [a b]=myols(u(lags+1:end),rog); R=a(1,end); dn = lags*size(reg,2); dd=z-dn-1; p=1-fcdf((R/dn)/((1-R)/dd),dn,dd);
function[] = plot_stride_md_spd(group_speed,plt_cell,plt_mean_cell) if ~isfield(group_speed,'stride_bins_mean') && ((~isfield(group_speed,'img_bins_mean')&& plt_cell)|| (~isfield(group_speed,'img_bins_mean_cell')&& plt_mean_cell)) error('Necessary fields missing.') else paw_lab = {'FR','HR','FL','HL...
clear; isCanceled = false; hWaitbar = waitbar(0.9,'请等待...',... 'Name','这是名字',... 'CreateCancelBtn','isCanceled = true;'); btnCancel = findall(hWaitbar,'style','pushbutton'); set(btnCancel,'string','取消','fontsize',10); h = findall(hWaitbar,'type','patch'); set(h,'EdgeColor','k','fa...