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% function p = pathdef % %PATHDEF Search path defaults. % % PATHDEF returns a string that can be used as input to MATLABPATH % % in order to set the path. % % % % Copyright 1984-2007 The MathWorks, Inc. % % $Revision: 1.4.2.2 $ $Date: 2007/06/07 14:45:14 $ % % % % DO NOT MODIFY THIS FILE. IT IS AN AUTOGE...
function design = transform_L1O_into_L2O(design) %remove last column (last step of validation) design.train(:,end) = []; design.test(:,end) = []; design.label(:,end) = []; %for each train chunk out, also leave the next one out ind=find(design.train==0); design.train(ind+1) = 0; %for each test...
function c = cel(kc,p,c,s) % kc % p % c % s if kc == 0 c = nanM; end % # errtol = 1.0e-6; errtol = 1.0e-6; k = abs(kc); em = 1.0; if p > 0 p = sqrt(p); s = s/p; else f = kc^2; q = (1-f)*(s-c*p); g = 1-p; f = f-p; p = sqrt(f/g); c = (c-s)/g; s = -q/((g^2)*p)+c*p; end f = c; ...
%% move % Moves the cell Network %% %% Syntax % N = move(N) % %% Description % Multiplies the vertices by a fixed number. % %% Inputs % * N - a cellNetwork object % %% Outputs % * N - a new cellNetwork object % %% Examples % >> N = move(N,2); % %% See also % * % %% Author % Sebastien Besson. % email address : ...
function arrow(x,y,w,h,a) %function arrow(x,y,w,h,a) patch([x x+w-a*2-h/2 x+w-a*2-h/2 x+w x+w-a*2-h/2 x+w-a*2-h/2 x], ... [y y y-a y+h/2 y+h+a y+h y+h],'k');
function [cellstr] = readTextSimple(path, head) if(~exist(path,'file')) error(['File: ' path ' does not exist']); end fid = fopen(path); cellstr = textscan(fid, '%s', 'Delimiter', '\n','HeaderLines',head); cellstr = strtrim(cellstr{1}); fclose(fid); end
function h = modelIntern(model) function b=coop(x) global alpha beta gamma model.setParams(x) if alpha<=beta && beta<=gamma b=1; else b=0; end end h=@coop; end
function S = get_odor(name) odor_raw = imread(strcat('odor/',name,'.png')); odor = zeros(size(odor_raw(:,:,1))); for i = 1:size(odor,1) for j = 1:size(odor,2) if odor_raw(i,j,1) == 255 if odor_raw(i,j,2) == 255 if odor_raw(i,j,3) == 255 ...
load resp.mat plot(timeResp,resp); ylabel('Respiration Data');xlabel('Time (s)'); grid on
r = input('Enter the learning rate'); V = randn(785,8); W = randn(9,10); tk = zeros(10,1); for n = 1:1000 random = randi(5000); tk = zeros(10,1); X = ([-1;train(random,2:end)'])./255; t = train(random,1) + 1; tk(t) = 1; hj = V' * X;% 8x1 aj = [-1;sigmoid(h...
function repP=Ei200_uvw100_at200TPmod2Peaks(varargin) root = fileparts(pwd); data_source= fullfile(root,'sqw','Data','Fe_ei200.sqw'); bragg = [2,0,0]; dE = 5; dK = 0.05; avrg_par=[0,0,949.35]; repPoints1 = [-0.33,-0.11,0,0.11,0.36; 120,15,0,10,155]; repPoints2=[-0.31,-0.08,0,0.11,0.36; 140,10,0,10,140]; rep...
%regionOverlap: Get the regions in our image that are contained within a %given cropping rectangle % %USAGE [regList, overlap] = regionOverlap(param, cropRect) % %AUTHOR Matthew Jemielita, April 2, 2014 function [regList, overlap] = regionOverlap(param, cropRect) colorNum = 1;%To deal with oldish code tot...
% process_qsos: run DLA detection algorithm on specified objects % load redshifts/DLA flags from training release prior_catalog = ... load(sprintf('%s/catalog', processed_directory(training_release))); if (ischar(prior_ind)) prior_ind = eval(prior_ind); end prior.z_qsos = prior_catalog.z_qsos(prior_ind); prio...
function MClustCutterUndoStore(U) % MClustCutterUndoStore(undoStateStruct) % MClustCutterUndoStore(funcname) % % ADR 2008 % % Part of the new undo mechanism in MClust 3.5. % Modified from code by JCJ 2007 % % Status: PROMOTED (Release version) % See documentation for copyright (owned by original authors) and warranti...
function [cipher_data]=Transposition_encryption(N) add='plain.txt'; f_file = fopen(add, 'r'); plain_txt = fscanf(f_file, '%c'); trans=zeros(N,N); NN=N*N; cipher_txt=[]; D=length(plain_txt); pad=mod(D,NN); plain_txt=[plain_txt zeros(1,pad)]; for r=1:length(plain_txt)/NN for s=1:NN tran...
function [ ranking ] = featureRanking( train_file, output_file, task) values = load(train_file); data = sparse(values(:, 1), values(:, 2), values(:, 3)); %data = values; [m, n] = size(data) if strcmp(task, 'survival') == 1 x = data(:, 1:n-2); y = data(:, n-1:n); num_features = n - 2; else x = data(:, 1:n-1); y = d...
clear all; monkey = 'Pepe'; %monkey = 'Satchel'; load(sprintf('%s/bcidistance.mat',monkey)); load(sprintf('%s/bciacqtime.mat',monkey)); load(sprintf('%s/blockshamacqtime.mat',monkey)); load(sprintf('%s/blockshamdistance.mat',monkey)); load(sprintf('%s/sessindindex.mat',monkey)); unique_sessidx = unique(sessindindex...
function [HijosCompleto] = Variacion(Padre,n,Hijos) global a iteraciones i= round(n*0.2); while i < n x1= abs(round(((n-1)*rand)+1)); x2= abs(round(((n-1)*rand)+1)); x3= abs(round(((n-1)*rand)+1)); minimo= abs(min(x1,x2)); %((*Ojo Truco adicional del profesor ))Este while me permite seleccionar dos padre...
function color_rgb = aquamarine color_rgb = {'color', [0.49803, 1.0, 0.83137]}; end
%% label matrix and stats tp=1; path = '\\argon.fmi.ch\gkeller.mdrive\attialex\images\tp\'; prefix = 'vml'; width = 40; idx = -(width/2) +1:width/2; for site = 2:4%size(proj_meta,2) for layer = 1:4 ROIs =proj_meta(site).rd(layer,tp).ROIinfo; nROIs = size(ROIs,2); L=zeros(400,750); ...
subplot(2,1,1) load out; a = nansum(Results.Sum,3); b = nansum(Results.Count,3); c = a./b; % load out; c = log10(nansum(Results.Count,3)); % load out; i = 9;a = Results.Sum(:,:,i); b = Results.Count(:,:,i); c = a./b; c = log10(c); c = smoothn(c,[3,3]); m_proj('lambert','lon',[-125,2],'lat',[20,80]); m_pcolor(x...
% iou plot clear, clc main_dir = '/home/dtc/MyGit/dtc-scannet-sparseconvnet/Result/pmserver/scannet_m16_rep2_residualTrue-000000650/Backup/'; f_random = strcat(main_dir, 'random_result_main.csv'); f_grid = strcat(main_dir, 'grid_result_main.csv'); f_hierarchy = strcat(main_dir, 'hierarchy_result_main.csv'); titleNam...
function [ saida ] = obj3_norma( vetor_coeficientes ) saida = norm(vetor_coeficientes); end
A = cartpole_agent('integrator_type','ode45'); AH = cartpole_agentHelper(A,'cartpole_frs_9_22.mat','safety_layer','N'); Env= cartpole_env(AH); num_range = 5; N_theta = num_range;% initial N_theta_dot = num_range;% initial N_x_dot = num_range;% initial & parameter N_ka = num_range;% initi2al & parameter N_kpeak = num...
function J = computeCost(X, y, theta) %COMPUTECOST Compute cost for linear regression % J = COMPUTECOST(X, y, theta) computes the cost of using theta as the % parameter for linear regression to fit the data points in X and y % Initialize some useful values m = length(y); % number of training examples % You need t...
x=input('enter x: '); y=input('enter y: '); if x>0 if y>0 disp('Quadrant 1'); else disp('Quadrant 4'); end else if y>0 disp('Quadrant 2'); else disp('Quadrant 3'); end end
function [defaultanswer fullPath]=mhdHeaderInformation( filePath) try % Image file path try [pathstr, name, ext] = fileparts(filePath); temp=mhdHeader( filePath, 'ElementDataFile'); % Get data file path from header fullPath=[pathstr filesep temp]; ...
clc; clear; close all; for i = 1:1:256 formatSpec = "max(myPeaksDetector(y_Corr%d(1:1281)))\n"; fprintf(formatSpec,i); end
function t90 = g_ipts68_to_its90(t68) % g_ipts68_to_its90 Convert temperature from IPTS68 to ITS90 % % T68 = g_ipts68_to_its90(T90) % % INPUT t68 - Temperature in IPTS68 % % OUTPUT t90 - Temperature in ITS90 % % Gunnar Voet, APL - UW - Seattle % voet@apl.washington.edu % % Last modi...
clear; clc; syms d1 a1 a2 d2 r1 r2 r3 l1 l2 l3 g m1 m2 m3 m4 M real; syms Ixx_1 Iyy_1 Izz_1 Ixx_2 Iyy_2 Izz_2 Ixx_3 Iyy_3 Izz_3 Ixx_4 Iyy_4 Izz_4 g real; syms t real; syms t1(t) t2(t) d3(t) t4(t); syms t1_ t2_ d3_ t4_ real; syms t1_dot_ t2_dot_ d3_dot_ t4_dot_ real; syms t1_ddot_ t2_ddot_ d3_ddot_ t4_ddot_ real; t1_...
% QMG1H.m % DOING PHYSICS WITH MATLAB % https://d-arora.github.io/Doing-Physics-With-Matlab/ % Documentation % https://d-arora.github.io/Doing-Physics-With-Matlab/mpDocs/QMG102.htm % IAN COOPER % matlabvisualphysics@gmail.com % 230415 Matlab R2021b % GRIFFITH problem 1.13 clear; close all; clc % SETU...
disp('Generamos la clave publica y privada de A'); [cpubla,cpriva]=generar_clave_aleatoria(100000) disp('Generamos la clave publica y privada de B'); [cpublb,cprivb]=generar_clave_aleatoria(100000) mensaje=input('Introduce el mensaje que B quiere enviar a A:'); while(not(ischar(mensaje))) mensaje=input('No es una ...
function varargout = dataCollection_screen1(varargin) % DATACOLLECTION_SCREEN1 MATLAB code for dataCollection_screen1.fig % DATACOLLECTION_SCREEN1, by itself, creates a new DATACOLLECTION_SCREEN1 or raises the existing % singleton*. % % H = DATACOLLECTION_SCREEN1 returns the handle to a new DATACOLLECTIO...
function gX = constraintLogLikeGradientsLDA(model) % CONSTRAINTLOGLIKEGRADIENTSLDA Returns gradients of loglikelihood % for LDA constraints % FORMAT % DESC Returns loglikelihood for LDAPos constraint % ARG model : fgplvm model % RETURN options : Returns loglikelihood % % SEEALSO : constraintLogLikelihood % % COPYRIGHT...
function TestEM1PerfectSphere() global w % Frequency in optics w = 5*10^14; FindE(10^-9,13,'EM1Spherem13a1E9'); RelativeError(13,'EM1Spherem13.csv'); RelativeError(15,'EM1Spherem15.csv'); RelativeError(17,'EM1Spherem17.csv'); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% fu...
clc;clear; %% input BM = load('Polbooks.mat'); mAdj = BM.C; mMembership = BM.C; vVertLineLocs = []; vHorLineLocs = []; mPosColour = [0 1 0; 0 0 0]; %% output %drawColouredBlockmodel(mAdj, mMembership, mPosColour, vVertLineLocs, vHorLineLocs) drawBlockmodel(mAdj, vVertLineLocs, vHorLineLocs)
%% Demo of how to compute discrete approximaiton to 1d/2d Gaussian posterior mu = [5 1]'; Sigma = 2*eye(2); Zexact2 = sqrt(det(2*pi*Sigma)) % picking the right range is crucial... range1 = 0:0.1:10; range2 = -5:0.05:5; target = @(X) gausspdfUnnormalized(X,mu,Sigma); papprox2 = GridDist(target, range1, ran...
%% martin curve z=[100:100:6000]; %, Aoc = 3.49e+014; %m2 b=0.858; %attenuation factor default: 0.858; upper limit 1.33 buesseler et al 2007 % LOSCAR low latitude export Cexp = 395.19e12; %mol C/y %460 534 | 524 611 F100 = Cexp/Aoc % mol C/m2/y F= F100.*(z./100).^-b; % Berger '87. formulation % NOTE TO MYSELF 5/12/20...
function x = getopt(argv, options) % GETOPT checks and returns the arguments of functions % % getopt(argv, options) checks that the arguments supplied in the argv cell % array confrom to the options set in the options cell array. The parsed % arguments are returned in a structure with appropriately named fields. ...
% % Fonction pour simuler la classe MException de matlab % % Retournera une structure "à la MException" % function foo =Oct_MException(leIDENTIFIER,leMESSAGE,leSTACK) foo =struct('message',[],'identifier',[]); if exist('leIDENTIFIER','var') foo.identifier =leIDENTIFIER; end if exist('leMESSAGE','var') ...
close all; %% percentage alpha parse_data_SIM; interfaces = {'j','h'}; interface_cells = {'pa_re_jkld', 'pa_po_jkld', 'pa_re_jpot', 'pa_po_jpot'; 'pa_re_hkld', 'pa_po_hkld', 'pa_re_hpot', 'pa_po_hpot'}; interface_cells = {'pc_re_jkld', 'pc_po_jkld', 'pc_re_jpot', 'pc_po_jpot'; 'p...
function x = OMP(A, y, s) x = zeros(size(A,2),1); r = y; %residue supp = zeros(1,s); %support for i=1:s [~, IX] = sort(abs(r'*A),'descend'); supp(i) = IX(1); Ai = A(:,supp(1:i)); b = (Ai'*Ai)\Ai'*y; %least squares r = y - Ai*b; %residue update end x(supp) = b; end
function [figuredata]=UpdateFigure(figuredata,axeshandle,Names,newvalues) for ii=1:length(Names) temp=Names{ii}; newvalue=newvalues{ii}; figuredata=setfield(figuredata,temp,newvalue); end TimeDomainData=figuredata.TimeDomainData; tau_vector=figuredata.tau_vector_raw; T_vector=figuredata.T_vector_raw; t_v...
function out = run(testkey,prefix) %Run HTESTS % % nnet.test.run, runs all htests in working directory % nnet.test.run(dir), runs all htests in dir % nnet.test.run(htest), runs htest % nnet.test.run(htest,prefix), runs subtests of htest with given prefix % Copyright 2013-2015 The MathWorks, Inc. if nargin < 2, pr...
% Domain extension xleft=0; xright=1; % Cross sectional areas S=0.02; % Physical paramaters rhol=1000; mul=0.001; rhog=1; dp=0.005*0; % Ensures no relative velocity g=-10*0; % Initial values alphag0=1; % Time-step dt=0.001; % Number of timesteps timesteps=1; % PISO corrections nCorr=3; % Non-orthogonal correcti...
function [timebase_x, timebase_y, wi_x, wi_y] = extract_transverse_wake_impedance_from_wake_data(wake_data) % wake data (structure): contains all the data from the wake postprocessing % %timebase (vector): timebase in ns. % wi_x (vector): transverse wake impedance in x. % wi_x (vector): transverse wake impedance in y. ...
X = zeros(100,1); Y = X; X(1) = 0.4; Y(1) = 0.2; rx = 3.8; ry = 3.5; Bxy = 0.01; Byx = 0.2; for fstep = 1:(length(X)-1), X(fstep+1) = X(fstep)*(rx-rx*X(fstep)-Bxy*Y(fstep)); Y(fstep+1) = Y(fstep)*(ry-ry*Y(fstep)-Byx*X(fstep)); end; eDims = 2:1:10; tsteps_to_check = 1:1:50; delta = [1e-6:5e-5:1e-2]; Tmax = 50; br...
#!/usr/bin/env octave function mpi_sweep_octave_example ## Make sure that AT source files are in path. ## For this go to atoctave folder and run ## > octave --eval 'bootstrap;savepath' ## this code will run on all MPI nodes D1.FamName = 'DR01'; D1.Length = 3; D1.PassMethod = 'DriftPass'; QF.FamName...
function [t] = calculate_time(poi_coord, policy, vel) t(1,1) = 0; for i = 2:length(policy) t(i,1) = sqrt(power(poi_coord(policy(i),1)-poi_coord(policy(i-1),1),2) + power(poi_coord(policy(i),2)-poi_coord(policy(i-1),2),2))/vel; end end
% Searches for the minimum of a function using a genetic algorithm % Initialise plotting cityLocation = LoadCityLocations; tspFigure = InitializeTspPlot(cityLocation,[0 20 0 20]); connection = InitializeConnections(cityLocation); % Parameters populationSize = 50; numberOfGenes ...
%__________________________________________________________________________ % % VALIDATION PLOTS % % Yves-Marie Bozec, y.bozec@uq.edu.au, 02/2021 %__________________________________________________________________________ clear load('LTMP_Transect2Tow_NEW.mat') % Linear model allowing to convert manta tow into tranect...
function [p1 p2 p3 p4 p5 ] = sortProb(pointX,pointY,x,y,prob ); for i=1: size(pointX, 2)-1 for j = 1: size(pointX, 2)-i if (prob(j) > prob(j+1)) temp=prob(j); prob(j)=prob(j+1); prob(j+1)=temp; temp=pointX(j); pointX(j)=pointX(j+1); p...
function [t_out, y_out] = dp45( f, t_rng, y0, h, eps_abs ) if ~isa( f, 'function_handle' ) throw( MException( 'MATLAB:invalid_argument', ... 'the argument f is not a function handle' ) ); end if ~isscalar( eps_abs) || (eps_abs <= 0) throw( MException( 'MATLAB:invalid_argument', ......
function [v,t] = getPeak(V) %Returns the value and the time of the first peak of a voltage trace % % v = getPeak(V) given an array of voltages V, returns the peak % value % % [v,t] = getPeak(V) given an array of voltages V, returns the % peak value and at which time the peak is reached %Get first order di...
function polyOut = parsePolygon(poly, format, varargin) %PARSEPOLYGON Conversion between different polygon formats. % % POLYOUT = parsePolygon(POLY, FORMAT) % Converts POLY to the specified format while FORMAT must be one of the % following options: 'cell','nan','repetition','polyshape'. Mainly used % in other ...
function plot_figure(Mesh, FE, result) if FE.basis_type_test == 202 Mesh.hx = Mesh.hx / 2; Mesh.hy = Mesh.hy / 2; end x = Mesh.left: Mesh.hx: Mesh.right; y = Mesh.bottom: Mesh.hy: Mesh.top; [X, Y] = meshgrid(x, y); exact = reshape(result.exact_solution, size(X)); numerical = reshape(result.solution, size(X)); s...
x = <x0>; y = [<x1>]; y = reshape(y,3,3)'; output = x*det(y); if ~ exist('OutputFiles', 'dir') status = mkdir('OutputFiles'); end csvwrite(sprintf('OutputFiles/oupt.out'),output);
function model = fit_Hellinger_forest(features, labels, numTrees, numBins, minFeatureRatio, cutoff, printCount, memSplit, memThresh) %Function: fit_Hellinger_forest %Form: model = fit_Hellinger_forest(features, labels, numTrees, numBins, minFeatureRatio, cutoff, printCount, memSplit, memThresh) %Description: Train a fo...
function num = sci2num(str) %% FUNCTION sci2num % Converts a string to a number. String may contain an SI prefix which must be % used in converting back to an absolute number. % % % Examples: % % num = sci2num('14.5 m') returns num = 0.0145 % num = sci2num('14.5') returns num = 14.5 % num = sci2num({'14.5m',...
function [ Param ] = paramFBMC( mod, numOfSym, sizeOfFFT, numOfCarrier, overSampling, K ) Param.N = sizeOfFFT; Param.D = numOfCarrier; Param.K = K; Param.S = Param.N * Param.K; Param.OV = overSampling; Param.Offset = Param.N/2; Param.CP = 0; if (numOfCarrier == sizeOfFFT) Param.CarrierIndexes ...
function file = show(filename, is, file) %UNTITLED2 Summary of this function goes here % Detailed explanation goes here setPlotParameters; varname = {'t', 'fxp', 'fxv', 'fx', 'fyp', 'fyv', 'fy'}; if nargin < 3 nskip = 5; nvars = 7; file = loaddata(filename, nskip, nvars); end figure; labels={}; for ii=is...
% Include map map = SMap.getInstance().getOccupancyGrid(); % Include ROB toolbox start = [4.72 1.512]; viapoints = [ start; 4.72 2.488; 17.46 2.395;]; posCompLab = [17.92 2.2]; viaCompLab = [ 13.32 2.488; 13.32 16.11;]; robotRadius = 0.2; mapInflated = copy(map); inflate(mapInflated,robotRadius...
% get_laplacian gives the normalized laplacian matrix for an adjacency matrix function ret=get_laplacian(adj) deg = diag(sum(adj,2)); lpcn = deg - adj; ret = (deg^(-1/2))*lpcn*(deg^(-1/2)); end
clear %following combustion and flame 2001 %all the constants kh2o=6.05e5; kpyr=3.64e3; kchar=430; nuchar=0.338; nuco2=0.2; nuash=0.033; nusoot=0.05; nuo2=8/3; erh2o=5956; erpyr=7250; echar=9000; asg=0.5; sigs=4000; %guessed for pine needles rhog=1; %heating rate dTdt=10/60; %get the production of all species %ompy...
function [x, h, dhdx] = tanhprofile(Xmax, Hright, Hleft, WidthR, WidthSlope, nx) % [x, h, dhdx] = TANHPROFILE(Xmax, Hright, Hleft, WidthR, WidthL, nx) % % inputs % - Xmax: % - Hmin: % - Hmax: % - WidthHmin: % - WidthHmax: % - nx: number of points in the x grid. % % outputs % ...
#! /snap/bin/octave -qf if (nargin!=7) printf("Usage: pca+mixgaussian-eva.m <trdata> <trlabels> <pcaKs> <Ks> <alphas>\n") exit(1); end; arg_list=argv(); trdata=arg_list{1}; trlabs=arg_list{2}; tedata=arg_list{3}; telabs=arg_list{4}; pcaKs = str2num(arg_list{5}); K = str2num(arg_list{6}); alpha=str2num(arg_list{7}); ...
tSNE_Flow=[];tSNE_Flow = tsne_perp(ZS,[],2,100,10:10:100); Fighandle=figure; set(Fighandle, 'Position', [100, 100, 1400, 900]); xplot=floor(sqrt(length(tSNE_Flow)));yplot=ceil(length(tSNE_Flow)/xplot);IDX=[];counter=1; for i=1:length(tSNE_Flow) %[IDX{i}, isnoise]=DBSCAN(tSNE_Flow{i},10,20); subplot(xplo...
%% close all load('sincos_basis.mat') %Y = [cos(bt) ; sin(bt)] %B = [sin(ax) ; cos(ax)] %sin(ax+bt) = sin(ax)cos(bt) +cos(ax)sin(bt) %% initial image for i = 1:10 Ii = renderim(Y(:,i),B,imsize); imshow(Ii,[]); drawnow; pause(0.1); end %% transform A % ax => 2ax ax1 = B(:,1); ax2 = B(:,2);...
function quotient_img=NQI_horizontal(img) %------Neighborhood Quotient Image------% %------input img must is a gray image------% temp_img=double(img); for i=1:size(temp_img,1) for j=1:size(temp_img,2)-1 if temp_img(i,j)<temp_img(i,j+1) numerator=temp_img(i,j); denominator=temp_img(i,j...
function ABCtranslate = num2abc(D) %NUM2ABC returns spreadsheet string equivalent to the specified integer. % NUM2ABC(D) returns a string corresponding to the column label in the % format commonly employed by spreadsheet programs, such as Calc and % Microsoft Excel. The specified integer, D, must be greater than...
function res = niqe_metric(img) cd niqe_release load modelparameters.mat blocksizerow = 96; blocksizecol = 96; blockrowoverlap = 0; blockcoloverlap = 0; res = computequality(img,blocksizerow,blocksizecol,blockrowoverlap,blockcoloverlap, ... mu_prisparam,cov_prisparam); cd .. end
function text = commentText(text) % commentText Comment text % Copyright 2012-2015 The MathWorks, Inc. for i=1:numel(text) text{i} = ['% ' text{i}]; end
% simplified unsteady 3D wing lifting line method by B. Davoudi 7/27/2016 % used for aiaa paper 2017 tic clc; clear all; Nxw=4; % chordwise panel per hald wing Nyw=85; % spanwise panel per hald wing AR=10.75; % Aspect ratio bw=64.5*2*0.0254; % win...
function filotypes = added_subtracted_transitioned (drawings, labels, opts) %A DYNAMO ANALYSIS FUNCTION %All Dynamo analysis functions take two arguments: % drawing: a Dynamo saved structure containing the fields 'states' and 'traits' % labels: a structure containing the annotation key used in drawing %...
classdef Sphere < Objet & handle % Sphere Objet contenant les propriétés d'un sphere % Méthodes disponibles : % - CalcVolume % - CalcMasse (Hérité d'Objet) properties Rayon end methods % forme : type Forme, permet de déterminer si plein ou creux. ...
function varargout = es_mi_lam_PID(varargin) % ************************************************************************ % Univerzitet u Sarajevu % Elektrotehnicki fakultet Sarajevo % Inteligentno upravljanje % % Tema: Odredjivanje parametara PID regulatora koristenjem evolucione % strategije ES ...
function [] =CS_Adj_G(B,CofCS,Not_Arranged_G) %300-Indicator %1000-BP %-1-Green(Outside CS) %1-Red(outside CS) %0-White(outside CS) %-2-Green(inside) %2-Red(inside) %10-White(inside) %5-Bot c=1; Not_Arr_converted=zeros(4,2); for i=1:8 for j=1:8 if B(i,j)==300 B(i,j)=...
%@(#) lagervalue3.m 1.2 94/08/12 12:15:16 % %function lagervalue(matfil,prifil,plotta) %function lagervalue(matfil,fid,plotta) %Computes the rest-value all fuel %Input: % matfil - Output from bunhist (cf. that m-file), % default='/cm/fx/div/bunhist/utfil.mat' % prifil - Print res...
clearvars close all %% linear system identification experimental_responce; %load data % resample data T_fin = time_experimental(end); %final time [ms] Ts = 1e-2; %sampling time [ms] T_sim = 0:Ts:T_fin; %resampled experiment time vector [ms] y_exp = interp1(time_experimental,displacement_experimental,T_sim,'...
function X = LUsol(A,B) % % This is to solve linear equations in the form of: AX=BU using LU deomposition %-------------------------------------------------------------------------- persistent sp; if isempty(sp) sp=issparse(A); end if sp; [L1, U1, P1, Q1 ]= lu( A, 0.1 ); X = full( Q1*(U1 \( L1 \ ...
function kernel = polynomial_kernel( x, z ) % returns a polynomial kernel matrix with d = 2 % CODE BEGIN d = 2; kernel = ((x' * z) + 1)^d; % CODE END
function [feature_vector] = im2vector(image) %IM2VECTOR Image to feature vector conversion % Gets image as input and results its feature vector. props = {'Contrast', 'Energy', 'Homogeneity', 'Entropy',... 'R_mean', 'G_mean', 'B_mean', 'R_std', 'G_std',... 'B_std', 'L_mean', 'a_mean', 'b_mean', 'L_...
function [y]=fun(k,x) A = k(1); t2 = k(2); tau = k(3); beta = k(4); y=A*exp(-(x./t2).*((1+(x./tau)).^(beta-1)));
function A = loadFeatureBasis(strkind, nw) % A [patchSize^2 nFeatures] % if nargin < 2 nw = nan; end switch strkind case 'gabor' if isnan(nw) && exist('../data/gaborBank.mat', 'file') > 0 G = load('../data/gaborBank.mat'); G = G.G; else G = tools.gaborFilter...
function [W,b,c] = cross_validate_svm1(Xpos,Xneg,Call,trainpercent) maxIter=1e12; npos=size(Xpos,2); nneg=size(Xneg,2); ypos=ones(1,npos); yneg=-ones(1,nneg); ntrainpos=round(trainpercent*npos); ntrainneg=round(trainpercent*nneg); indpostrain=1:ntrainpos; indposval=setdiff(1:npos,indpostrain); indnegtrain=1:ntra...
#include "com_codename1_impl_ios_IOSImplementation_TextureAlphaMask.h" const struct clazz *base_interfaces_for_com_codename1_impl_ios_IOSImplementation_TextureAlphaMask[] = {}; struct clazz class__com_codename1_impl_ios_IOSImplementation_TextureAlphaMask = { DEBUG_GC_INIT &class__java_lang_Class, 999999, 0, 0, 0, 0, ...
function l=getWatchedLabelsomarP2X4coop() l=['Q1';'Q2';'Q3';'Q4';'Q5';'Q6';'Q7';'Q8';'C2';'C3';'C4';'C5';'C6';'C7';'C8']; end
% Color Segmentation using % Mery, D.; Pedreschi, F. (2005): Segmentation of Colour Food Images using % a Robust Algorithm. Journal of Food Engineering, 66(3):353-360. % PDF > http://web.ing.puc.cl/~dmery/Prints/ISI-Journals/2005-JFoodEng-Segmentation.pdf close all k = 3; I = imread('flor.png'); I = imresize(I,1); [...
function centroids = faceCentroids(nodes, faces) %FACECENTROIDS Compute centroids of a mesh faces % % NORMALS = faceCentroids(VERTICES, FACES) % VERTICES is a set of 3D points (as a Nx3 array), and FACES is either a % [Nx3] indices array or a cell array of indices. The function computes % the centroid of...
% Generat profile Na Nd % How to launch : % NaNd_GenerationProfile(1,1e15,1e15,2.5e-4,2.5e-4) In cm !!! % profile = 1 ==> constant concentration % profile = 2 ==> % profile = 3 ==> % profile = 4 ==> function [] = NaNd_GenerationProfile(profile, N_a_experiment, N_d_experiment, t_NiO, t_ZnO) % Gene...
function elem=atM66Tijk(fname,varargin) %ATM66(FAMNAME,M66,Tijk,PASSMETHOD) % atM66 creates an element that applies an arbitrary matrix m66 % %FAMNAME family name %M66 transfer matrix, defaults to Identity(6)] %Tijk 2nd order transfer matrix, defaults to zeros(6,6,6)] %PASSMETHOD tracking function, defau...
function f = myImClose(A,B) f = erison(dilation(A,B),B); end
close all; clear all; a=0; b=1; %resolution of the plot, solution is evaluated at resolution points resolution = 1000; h=(b-a)/resolution; x=a:h:b; N=4; P=6; deltaX=(b-a)/N; X=a:deltaX:b; %Solve advection-equation du/dt+cdu/dx=s(u), x \in [a,b] %u(0,t)=sin(t), u(x,0)=0 c=1; %4th order Gauss...
function [C,ID_in]=NN_train_VAD() %% C = [];ID_in=[]; succes=0; PathSpeech='C:\Users\User\Desktop\matal\shahALL\'; FileListS = GetFileList(PathSpeech,2); Nfiles = length(FileListS); for I=1:Nfiles WavFileS = strcat(PathSpeech,FileListS(I).name); disp(WavFileS) if WavFileS(end-3:end)=='.wav' [Y,...
function imshowfill(varargin) % imshowf(img ) % % Basically imshow but fills up the screen % % (c) Frank Ong 2015 im = varargin{1}; iSize = size(im); sSize = get(0,'Screensize'); sSize = floor([sSize(4),sSize(3)]*0.67); im = imresize(im,[sSize(1),sSize(1)*iSize(2)/iSize(1)],'Method','nearest'); iSize = size(im); if...
% a function to calculate normalized PSNR for images x and xr % % Ramin Eslami 6-1-05 function psnr = psnr2(x, xr) Max = 255; N = prod(size(x)); e = x(:)-xr(:); % mse = sum(sum((e/Max).^2))/N; psnr = 10*log10( Max^2 / ( sum(e.^2) / N ) );
function [ dx ] = f(x) %f global A r N E m g DC DN; R = [x(1:3)' ; x(4:6)' ; x(7:9)']; v = x(10:12); alpha = x(13:14); T = R*(2/5*m*r^2*eye(3))*R'-m*r^2*A(N(alpha(1),alpha(2)))^2; w = T\v; dR = (A(w)*R); dalpha = r*(E(alpha(1),alpha(2))\(DC(alpha(1),alpha(2))'*A(w)*N(alpha(1),alpha(2))')); dv = m*r*A(N(alpha...
%% user defines incident angle of laser beam and distance of photodiode %user input here% incident_angle=45; %incident angle of beam on viewport in degrees alpha=deg2rad(10); %angle that microdisk is deflected by in rads d=0.002; %viewport thickness in meters - depends on viewport x3=0.1; %distance to photodiode in me...
clear; clc; close all; % Note Recognition %% Note Initialization mainNames = char('C', 'C#', 'D', 'D#', 'E', 'F', 'F#', 'G', 'G#', 'A', 'A#', 'B'); names = char('A0', 'A#0' ,'B0'); A0 = 27.5; ind = 4; for i = 0:87 data(i+1) = A0 * (2^(1/12))^i; if i>2 a = [mainNames( rem((ind - 4), 12)+1,:) num2str(fi...
%% test data - proj2compare.mat clear; close all load proj2compare.mat %% plot initial figure and sonogram figure subplot(1,2,1) imagesc(A) title('Test Image 1') axis off subplot(1,2,2) imagesc(S2) title('Sonogram S2') axis off colormap('Gray') %% Compute and plot DFI of proj2compare.mat data DFI...