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%----------------------------------------------------------------------- % Job script created by scr_job_create, 14-May-2014 12:07 %----------------------------------------------------------------------- global settings ...
function state = obs2state(obs, Params) % input: observation for a single car, % struct of a car which ususally be the ego_car % output: state id (1~1458) % NYX modified 12/01/2017 13:28; msg = obs2msg(obs, Params); state = msg2state(msg);
function prob = GetLineProb(pmap, pt1, pt2) % calculate edge angles & lengths tick = 2; ang = GetAngle((pt1(1)-pt2(1)),(pt1(2)-pt2(2))); dx = tick*cosd(ang); dy = tick*sind(ang); % Find rectangle(i.e. tick line)'s corner points pt(1,1) = pt1(1) + ...
clc; clear; delfigs; prwaitbar off; prwarning off; nist_data = prnist(0:9,1:1000) % NIST EVAL prmemory(128000000); clc; iter = 1; % Number of performance evaluations num_test = 100; % Number of test objects per class average = 0; parametric = {fisherc, ldc,loglc,nmc,nmsc,quadrc,qdc,udc,klldc,pcldc,polyc,subsc...
function [F, J] = GENELCONTACTFORCEJAC(contactfunc,U,MESH,p0,pars,QuadMats,prev) Ndof = length(U); Nqdof = size(QuadMats.Q,1); uxyn_qp = reshape(QuadMats.Q*U(1:MESH.Nn*MESH.dpn), 3, Nqdof/3)'; if length(p0)==1 p0 = ones(Nqdof/3,1)*p0; end [Ptx,Pty,Pn,dtxdux,dtxduy,dtxdun,dtydux,dtyduy,d...
classdef IPhreeqc % A wrapper for IPhreeqc package properties id end methods function obj = IPhreeqc() %IPhreeqc Construct an instance of this class without creating %an IPhreeqc instance; Call CreateIPhreeqc to create an %instance and initia...
Fs=1000;i_trial=5; Hd=theta_filter; Hd1=notch;Hd2=notch60hz; ts = PV{i_trial}.ts; time = PV{i_trial}.duration; LFP = PV{i_trial}.lfp; LFP1 = filtfilt(Hd1.sosMatrix,Hd.ScaleValues, LFP); LFP1 = filtfilt(Hd2.sosMatrix,Hd1.ScaleValues, LFP1); LFP1 =DenosieLFP(LFP1); LFP2 = filtfilt(Hd.s...
num_dec_polys = 2; t = msspoly('t', 1); x = msspoly('x', 2); q = [t;x]; in_basis_Z = monomial_basis(3, 6, q, msspoly('@a', nchoosek(3 + 6, 3))); in_basis_Y = monomial_basis(2, 6, x, msspoly('@b', nchoosek(2 + 6, 2))); c = 8 * x(1)^2 + 1.5 * x(2) ^ 5 + 9; part_app_t = vector_partial_application(1, 2, in_basis_Z); Z...
clear; clc; % every time the elevation changes, change the read the gap again??? or % double check for every elevation if the angle exists % make matrix of available angles for every height? % DONT PLOT IF ITS THE GROUND THING AND LIMIT RANGE???? % Set actual width to look for % Compare turn1 for side on angle with r...
function [ B ] = MPS_Truncate( A, D_final ) %brute force truncation of an MPS to D_final. Only works if A has fixed %bond dimension [N, ~] = size(A); [D, d] = size(A{1}); if D_final >= D error('Error. Final bond dimension larger than initial.'); end B = cell(N, 1); ...
function minOut = RR_min(Name) [rr,tm]=ann2rr(Name,'atr'); num = size(rr,1); time = zeros; j = 1; for i = 1:num if(rr(i)>1000) time(j) = (rr(i)/5000); j = j+ 1; end end minOut = min(time); end
function pass = uq_Kriging_test_ExpDesigns( level ) % pass = UQ_KRIGING_TEST_EXPDESIGNS(LEVEL): non-regression test for the % various input scaling options in the Kriging module % % Summary: % Make sure that Kriging works with user defined experimental designs % regardless of scaling choice %% initialize test pass = 1...
%hw 17 - 104 P = input("force of push in lb: "); weight = input("weight of roller in lbf: "); mass = weight / 32.2; theta = input("angle between roller and ground: "); radius = input("radius of wheel in ft: "); Ig = .5 * mass * radius^2; normal = weight + F*sind(theta); %sum of forces syms F a alpha sumX = P*cos(the...
function exportSWC(neuron, fname, fpath) % EXPORTSWC Export neuron in SWC format assert(isa(neuron, 'sbfsem.core.StructureAPI'), 'Input a Neuron'); if strcmp(fname(end-3:end), '.swc') fname = [fname, '.swc']; end if nargin < 3 fpath = cd; end % Create the header fid = fopen([fpath filesep fname]); fprin...
function [nbnoisestack] = MakeNBNoiseStack(Fs,dur,bandlimits) %MakeNBNoiseStack: Create a NarrowBand Noise Stack %Fs: Sampling rate (Hz) %dur: Stimulus duration (ms) %bandlimits: N X 2 array of bandlimits, LO and HI dur = dur/1000; len = dur*Fs; mag = zeros(len,1); for bandnum = 1:size(bandlimits,1) ...
function [] = saveFig2Directory(Dir, hf) if ~exist('hf','var') hf = []; end n = 1; Directory = sprintf([Dir '_%03d/'], n); % Finds the subdirectory in which the files will be placed. while exist(Directory,'dir') n = n+1; Directory = sprintf([Dir '_%03d/'], n); % Finds the subdirectory in which the files w...
classdef BuildUtils methods(Static=true) function compileMexes(dir) % TODO: test. dir dirOld = pwd; cd(dir); mexFiles = what('*.c'); mexFiles = mexFiles.mex; for mexFile=mexFiles mex(mexFile); end cd(dirOld); end end end
function [val] = Newton_compare1(a,b) %function to find ONE zero of the function in local interval iter = 0; if(a < b) x1 = a; x2 = b; elseif a > b x2 = a; x1 = b; elseif a == b if myfunc(a) == 0 x = [a b]; return; else disp("The interval equals 0") ...
function speakerTestSetup_lds() global PDR % PARAMS PDR.filename = 'speaker_test'; cd(PDR.data_path); if exist([PDR.filename '.mat']) delete([PDR.filename '.mat']); end PDR.comments = 'Testing Equipment!'; PDR.record = 1; PDR.isi_buf = 5; % ORDERED LIST OF SPEAKER LOCATIONS PDR.npretrials = 1; PDR.TEST_trial_freq ...
% This has been used for testing and will run the test geometry and aero in % the build_wing.m file. I will update and relink when I know Peters code. clear all close all run build_wing.m run main.m
%% TRAINING TEST FILES % TEST0_TRAINING.m %% RECONITION TEST FILES % TEST1-NUMBERS.m % TEST1-SAPIENZA.m % TEST2_ANN.m % TEST3_ML.m
metaltest2; eigFD = eig(HessFD); metaltest3; eigDFPT = eig(HessDFPT); metaltest4; eigACP = eig(HessACP); error = [eigFD - eigDFPT,eigACP - eigDFPT]
% peakNormalization.m clear;clc; [sig,Fs] = audioread('AcGtr.wav'); N = length(sig); dBAmp = -6; A = 10.^(dBAmp/20); peak = max(abs(sig)); out = zeros(N,1); for n = 1:N out(n,1) = A * sig(n,1) * (1/peak); end
function [subband,ptr]=de_subband_L3(biny,N,ptr) load H2ext; lenz=N(1)*N(2); [n,ptr]=deSFcode(biny,6,ptr); n=n-1; thd=2^n; lB=biny(ptr); ptr=ptr+1; [z1,ptr]=de_zone_sub2(biny,lB,ptr); len1=length(z1); lenw1=sum(z1); lenk1=len1-lenw1; if thd>1 [z1k,ptr]=de_z0(biny,lenk1,ptr); lenkw1=sum(z1k); lenkk1=lenk1-lenkw...
% SACE Adaptive contrast enhancement based on sigmoidal mapping function. % J = SACE(I,TILES,OPTION) performs the adaptive contrast enhancement % based on sigmoidal mapping function to enhance the contrast of a breast % ultrasound image I, where TILES is a 1x2 vector indicating the number of % contextual regi...
function class = class_5_final_9(sig1,t1,t2,t3) cum = moment_statistics(sig1); [RD1,CD1,order1]=optics(sig1,10); if(abs(cum(5))<t1) %threshold 1 if(abs(cum(13))>t2) %threshold 2 class=19; else class=25; end else if(abs(cum(4))>t3) %threshold 3 class=1; elseif(mean(RD1(ord...
function [q, k] = cuadIK(Td, q0, DOF, IT_B, ET_F, varargin) % CUADIK() Función que obtiene la cinemática inversa del cuadrúpedo, ya sea % para las patas traseras (2 DOF) o las patas delanteras (3 DOF). La % cinemática inversa permite mapear del espacio de tarea al espacio de % configuración, por lo que se le alimen...
% %% frequency bands % ncomps=8; % cd ~/Documents/ls_brain/methods/Alzheimers/INECO/ % d1='/Documents/bb/data/snr05pow1bp47/EEG/dataset_'; % d2='/Documents/bb/data/snr05pow1bp47/truth/dataset_'; % testbb_final % cd ~/Desktop % save('Res05bp47','Result','EV') % % cd ~/Documents/ls_brain/methods/Alzheimers/INECO/ % d1='...
function [card, count, deck] = deal(deck,count) %% List search to choose a card at random r = rand(1,1); % Generate U(0,1) i = 1; % Initialize index p = deck/sum(deck); % Turn deck-array into probabilities that sum to 1. while r > p(i) % Discrete inversion algorithm ...
%====================================================================== %> @brief make uniform quadrilateral mesh object. %> %> @param N maximum polynomial order of basis functions %> @param xlim limitation on x axis %> @param ylim limitation on x axis %> @param Mx Second argument %> @param My Second argument %> @param...
function [beta,sigma,SE1,SE]=MMrse(data,bdp) % % Computes MM-estimator of regression with Robust standard errors, as in % Croux, C., Dhaene, G., Hoorelbeke, D. (2003), % ``Robust Standard Errors for Robust Estimators'' % Starting values of the MM-estimator is fast-S-estimator % Salibian-Barrera, M...
% Scripts to generate figures to be used in the report addpath(genpath('lib')); %% Example random graphs with various densities N = 50; % Number of edges q = 5; % Number of colors c = 20; % Density % Erdos-Renyi graph G = randomGraph(N, c); x = randsample(q, N, true); str = spr...
function [colorCell,colourArray] = ReadColourValues(filename) %This function reads a list of color names and values from a text file. It % returns the colorname in a n x 1 cell array where n represents how many % colors there were in the file, and a 2D array of color values of size % r x 3 where each row contains t...
% J17_UDDSa.M % This script builds the speed/time trace that a vehicle must follow in the % UDDS section of the SAE J1711 draft dated Sep-18-98. clear cyc_mph vc_key_on; CYC_UDDS pause_durs=10*60; % duration of pauses between consecutive cycles pause_keys=0; % position of key during each pause %% PREPARE ...
function ratio = predict(X_val, y_val, W1, b1, W2, b2, conv_param, pool_param) a = conv_relu_pool_forward(X_val, W1, b1, conv_param, pool_param); scores = affine_forward(a, W2, b2); [~, pred] = max(scores); ratio = mean(pred-1 == y_val'); end % function ratio = predict(scores, y) % [~, pred] =...
cla, close all; clearvars; filePath = fullfile(fileparts(which('PathPlanningExample')),'data','exampleMaps.mat'); load(filePath); map = robotics.BinaryOccupancyGrid(simpleMap, 2); robotRadius = 0.2; mapInflated = copy(map); inflate(mapInflated,robotRadius); show(mapInflated); hold on; prm = robotics.PRM; prm.Map = map...
%% Takes in single path time, path steps, startposition and endposition function [ points ] = quinticTrajectoryPoints( totalTime, totalSteps, startPosition, endPosition ) x = 1; y = 2; z = 3; constantValuesX = quinticPoly(startPosition(x), endPosition(x), 0, totalTime, 0, 0, 0, 0); consta...
% Name: Zheng Wen % USC ID: 7112807212 % USC Email: zwen1423@usc.edu % Submission Date 1/27/2020 function frequency = HisCount(img,m,n) frequency=zeros(1,256); for i=1:m for j=1:n frequency(1,img(i,j)+1)=frequency(1,img(i,j)+1)+1; end end end
function BaiTap12() [trainImages, trainLabels] = loadData('train-images.idx3-ubyte', 'train-labels.idx1-ubyte'); trainFeatures = ExtractLBPFeaturesOfImages(trainImages); Mdl = fitcknn(trainFeatures',trainLabels); [testImages, testLabels] = loadData('t10k-images.idx3-ubyte','t10k-labels.idx1...
function cmap = clab_rainbow(n, attr, dbg) % ------------------------------------------------------------------------- % Default inputs if nargin<3 || isempty(dbg) dbg = 0; % Whether to output information and figures end if nargin<2 || isempty(attr) attr = 'greenmid'; % Colormap type option end if nargin<1 || ...
function result = MajorityVote(model) %MAJORTYVOTE Summary of this function goes here % Detailed explanation goes here Ntask = model.Ntask; Nwork = model.Nwork; Ndom = model.Ndom; NeibTask = model.NeibTask; NeibWork = model.NeibWork; LabelTask = model.LabelTask; LabelWork = model.LabelWork; LabelDomain =model.Label...
function simulate_acrobot() % load the URDF r = RigidBodyManipulator('acrobot.urdf'); % setup and solve the optimization problem x0 = zeros(4,1); % initial state xf = [pi;0;0;0]; % final state tf0 = 4; % the initial trajector length N = 21; % number of knot points prog = DircolTrajector...
%% Parte2 %clear %clc %comentar para la parte 3 (comentar tambien para la 1) load('vowels.mat') p=15; AR_a=lpc(vowel_a,p); AR_e=lpc(vowel_e,p); AR_i=lpc(vowel_i,p); AR_o=lpc(vowel_o,p); AR_u=lpc(vowel_u,p); figure freqz(1,AR_a,1000) title('filtro AR vocal a') figure freqz(1,AR_e,1000) title('filtro AR vocal e') figure...
%%Scripts to plot dispersion curves from different regions. island = load('dispcurves/island.mat'); mainland = load('dispcurves/mainland.mat'); northern = load('dispcurves/northern.mat'); filename = 'pics/is_main_disp'; figure(33) clf hold on h1 = plot(island.dispcurve.periods,island.dispcurve.phv,'r-o'); h2 = plot(m...
function result=HampelFilter(csidata) hampelResult = hampel(csidata); result=hampelResult; end
function DispersionFile(DISOUT) format long g IANALTYPE = 1; DISIMPACT = 0.000001; NDIS = 100; NPARAMS = 12; Params = {'XBODYIC(1)','XBODYIC(2)','XBODYIC(3)','XBODYIC(4)','XBODYIC(5)','XBODYIC(6)','XBODYIC(7)','XBODYIC(8)','XBODYIC(9)','XBODYIC(10)','XBODYIC(11)','XBODYIC(12)'}; limits = [1,1,1,3,0.01,0.01,10,2,2,1...
function [implied] = getImpliedLogsBS(MU,SIGMA,w_l,w_m,w_s) num_grid = getNumIndividual(); [grid,gammaL,gammaM,gammaS] = getGrid(MU,SIGMA,num_grid); [~,workchoice_L,workchoice_M,workchoice_S,~] = getHrlyIncome(grid,w_l,w_m,w_s); impliedLl = sum(workchoice_L); impliedLm = sum(workchoice_M)...
function neighborsCell = identifyNeighborsAuto(inputImages, inputSignals, varargin) % This code automatically sorts through to find all obj neighbors within a certain distance of the target (boundary to boundary). The output is a cell array with vectors of the neighbor indices to each obj. % Biafra Ahanonu % started...
function [cyc, Dsmp, Nsmp] = testPhaseLock(Nmf) if nargin < 1 Nmf = 5; end mfA = [85.8, 27, 171.6, 432.4, 343.2, 34.1, 21.5, 54.1, 108.1, 17, 136.2, 216.2, 42.9, 272.4, 68.1]'; clc pth = 'C:\AMFR\data\16-104'; Fs = 24414.0625*4/20; mf = mfA(Nmf); % fn = filen(pth, '*43*01A*.sgn'); % fnms = ful...
function n = plus(k,m) % kronMatrix + % % returns the sum of two kronMatrix objects. % % n = k + m will result in a kronMatrix object if % k.a == m.a or k.b == m.b % % otherwise, this function will return an explicitly % formed matrix, i.e. kron(k) + kron(m) % if (isa(k, 'kronMatrix')) if...
clear all; n = 3000; % Open csv file and split into arrays input = csvread('RFM_Data.csv',1,0); % Initialize arrays ID = zeros(n,1); R = zeros(n,1); F = zeros(n,1); M = abs(zeros(n,1)); class = zeros(n,1); ID = input(:,1); R = input(:,2); F = input(:,3); M = round(abs(input(:,4))); R10 = prctile...
% 1. model fitting % set the job_opt.option_optimizing_model as 0 in the % 'batch_model_cog_regressor_gen_v5_indi_complex' line 49 for sub = 1:1:24 batch_model_cog_regressor_gen_v5_indi_complex(sub, 0, 0, 10) end % 2. Generating regressors % set the job_opt.option_optimizing_model as 1 in the % 'batch_model_cog_r...
classdef SWEElevationLimiter1d %SWEELEVATIONLIMITER1D Summary of this class goes here % Detailed explanation goes here methods function [ fphys ] = apply(obj, phys, fphys) for m = 1:phys.Nmesh % update new elevation fphys{m}(:,:,4) = fphys{m}(:,:,1) + fphy...
function Xf = final_point(t0,tf,x0,xf) qp_max = [1, 1, 2, 2*pi, 2*pi, 2*pi]'; dt = tf-t0; q0 = x0(1:6,1); qf = xf(1:6,1); gr = (1 + sqrt(5))/2 - 1; % golden ratio Xf = []; for n = 0:10 dq = gr^n * (qf - q0); v_mean = dq / dt; ind = find( abs(v_mean) > qp_max ); if ( isempty( ind ) ) Xf...
function [classifiers, classifiersWeights] = adaBoostTrain(X, Y, nbIter) [n, p] = size(X); dataWeights = ones(n, 1) / n; pos = find(Y == 1); neg = find(Y == -1); dataWeights(pos,1) = 1 ./ length(pos); dataWeights(neg,1) = 1 ./ length(neg); classifiers = []; classifiersWeights = []; for i...
% ========================================================================= % Function: DesignCode % % Parameters: driverMass (kg), suspensionFeelType, steeringTurnsToLock % (turns), jumpHeight (m), terrainType % % Outputs: None % % DesignCode is the main "design" function which calls all other % script...
function timeSequence = osdByVol(y, fs, itera, plotOpt) %osdByVol: Onset detection by volume % Usage: timeSequence = osdByVol(wave, fs, itera) % Hong-Ru Lee 20080820, Roger Jang 20080907 if nargin<1, selfdemo; return; end if nargin<2, fs=11025; end if nargin<3, itera=0.68; end if nargin<4, plotOpt=1; end wave=y; wav...
% clear,clc % % xmaxc=0.2:0.1:0.8; % zmaxc=[0.01 0.05 0.1]; % % al0=@() % % for i=1:length(zmaxc) % A=zmaxc(i).*(xmaxc).^(-2); % B=2.*xmaxc; % D=1-2.*xmaxc; % E=zmaxc(i)./(1-(xmazc).^2); % % alpha1=integral(@(xmaxc,theta)(1-2*xmaxc)*(A*B+A*(cos(theta)-1)^2),0) % % end % ...
Een for-lus kun je gebruiken als je bijvoorbeeld de index van een vector bij een element van een vector moet optellen.
function varargout = setres(varargin) % SETRES MATLAB code for setres.fig % SETRES, by itself, creates a new SETRES or raises the existing % singleton*. % % H = SETRES returns the handle to a new SETRES or the handle to % the existing singleton*. % % SETRES('CALLBACK',hObject,eventData,handles,...
function [c] = APGLASSOup(b,A,para,lambda) % Object: c = argmin (1/2)\|y-Dx\|_2^2+lambda\|x\|_1+\mu\|x_I\|_2^2 % s.t. x_T >0 % input arguments: % b ------- D'*y transformed object vector % A ------- D'*D transformed dictionary % para ------ Lambda: Sparsity Level % ...
obj = View() % chapter2.2 page17 obj = View() obj.text % chapter2.3.4 page23
clear all close all clc restoredefaultpath addpath(genpath(pwd)) % grab colors for plotting h = plot(randn(7)); for i = 1:7; colors(i,:) = h(i).Color; end; close all % --- Experiment Setup ---------------------------------- % load data fname = 'data/model_ensembles.mat'; load(fname); % warm-up period Fwarm = 0.5; N...
fn = 'TSSOP20'; folder = '/usr/brlcad/bin/'; delete([fn '.g']); fid = fopen([fn '.mged'], 'w'); %% chip body H = [-3.3 -2.25 0.475, -3.3 2.25 0.475, 3.3 2.25 0.475, 3.3 -2.25 0.475]; H = [H, H + [0.1 0.1 -0.475, 0.1 -0.1 -0.475, -0.1 -0.1 -0.475, -0.1 0.1 -0.475]] * 0.393700; fprintf(fid, 'in body1s.s arb8 %g %g %g...
function [snipsct,header] = MultiLoadIndexCTMF(spfiles,ctfiles,channels,indxsel,fullmultiindx) % MultiLoadIndexSnippetsMF: concatenates indexed snippets from sequential files for multiple channels % indx is a cell array with one vector/file, where the vector specifies the chosen %multiindx is a cell array with a nchan...
%HTP Hard Thresholding Pursuit % HTP(y,A,s) runs the Hard Thresholding Pursuit started with x0=0 % Usage: [x,S,NormRes,NbIter] = htp(y,A,s,x0,MaxNbIter,TolRes) % y: column vector, A: matrix, s: integer, x0: initial vector (optional, default=0), % MaxNbIter: number of iterations not to be exceeded (optional, default=50...
% PKPolarPtStability.m by Daniel Borrero 4/27/2012 % ------------------------------------------------- % Calculates the eigenvalues and eigenvectors of % the stability matrix for the Porter-Knobloch system in % for a generic point given in the 4D Cartesian representation % (X1,x2,y1,Y2) for a given array of param...
%% Finds the Postive and Negative clusters % Here we determine which regions to flip the sign of. We do this by: % First: Binarizing our data load('Age_Data.mat'); %variable Age_Data Bin_Age=cell(636,1); BAge=zeros(257,636); for i=1:636 yy=Age_Data{i}; Bin_Age{i}=Isingify2(length(yy(:,1)),498,...
clear clc A = csvread('regresion_logistica.csv',1,0); X = A(:,1:2); Y = A(:,3); impresionN(X,Y); [m,n] = size(X); X = MapeoDelFeature(X(:,1), X(:,2)); lambda = 1; theta = zeros(size(X, 2), 1); [J, grad] = CostoLogReg(theta, X, Y, lambda); theta = zeros(size(X, 2), 1); lambda = 0; opciones = optimset('GradObj', 'on'...
function [qd]=solar(S,delta,lat,hs) % This function caculate solar radiation on the top of the troposphere % S = corrected solar constant % delta = declination % lat = latitude % hs = hour angle in a day % h = hour angle in an hour % coszen = cos(zenieth angle) % qh = solar radiation of particular time % qd = total sol...
classdef spectrumAnalyzer < qes.hwdriver.sync.instrument % spectrumAnalyzer source driver, basic. % basic properties and functions of a spectrumAnalyzer source % currently only support Keysight Technologies, N9030B % Copyright 2016 Yulin Wu, Institute of Physics, Chinese Academy of Sciences % mail4ywu@gma...
classdef CC_OneStock %UNTITLED3 Summary of this class goes here % Detailed explanation goes here properties Index % 1,2,3,4,.... form the CStock.mat/csv Name % stock number like '000123.SZ' CName % Chinese Name like '????' StartDate % digital number EndD...
function[z_align] = align1(z1,z2,num) C1 = sum(z1(1,:).*z2(1,:) + z1(2,:).*z2(2,:))/num; C2 = sum(z1(2,:).*z2(1,:) - z1(1,:).*z2(2,:))/num; theta = atan2(C2,C1); M = [cos(theta), -sin(theta);sin(theta),cos(theta)]; z_align = M*z2 ; end
function predicted = simulatedRSS723S3(data) % The following is for comparing simulated RSS in 23-30 values = [-60.86 -66.8 -61.7 -66.9]; time = [30, 130]; predicted = zeros(size(data.SignalStrength)); predicted(:) = NaN; for i=1:s...
function [part] = make_xval_partition(n, n_folds) %PART is a 1 X N vector, % where PART(i) is a number in (1...N_FOLDS) indicating the fold assignment % of the i'th data point. % call upon a split in the original data using the part-splitted set of % indices, e.g. %trainingset_X = X(find(part == 2),:); %trainingset_Y ...
function LEN = getLEN(PAYLOAD) %UNTITLED6 Summary of this function goes here % Detailed explanation goes here % auch correct LEN = 0; fields = fieldnames(PAYLOAD); size = numel(fields); for i=1:size field = fields{i}; PART = PAYLOAD.(field); fields2 = fieldnames(PART); size2 = numel(fields2); for ...
function CDataSetInfo= ThresholdDataSet(CDataSetInfo, Param, Mode) ImageData=CDataSetInfo.ROIImageInfo.MaskData; BWData=CDataSetInfo.ROIBWInfo.MaskData; TempBW=zeros(size(BWData), 'uint8'); TempIndex=[]; %For compatibility if isfield(Param, 'Threshold') TempIndex=find(ImageData < Param.Threshold); end...
function [SSC] = TTR_Direct_HOLD(R,T,c,Default,max_c) % This code is partially ported C++ code in Bajgrowicz and Scaillet(2012). % http://www.sciencedirect.com/science/article/pii/S0304405X1200116X % Also refer STW(1999) for more details % http://onlinelibrary.wiley.com/doi/10.1111/0022-1082.00163/abstract % This ...
% t1 = 1/100:1/100:1; % t2 = 1/200:1/200:1; % q1 = sin(2*pi*t1)*0.5; % q2 = sin(2*pi*t2)*0.5; % % qt = [q1 zeros(1,100)]; % final = repmat(qt,1,441); % target = repmat(q2,1,441); % plot(q2) % % sound(final,44100); % sound(target,44100); % % hold off Y = zeros([35200,10]); Y(:,1:10) = y_formantAdapted(1:...
function image_feats = get_tiny_images(image_paths) % image_paths is an N x 1 cell array of strings where each string is an n = length(image_paths); image_feats = zeros(n, 256); for i = 1:n image = imread(image_paths{i}); % Get the smaller of the size dimensions % and create scale on that...
function [scr,const]=constColor(scr,const) % ---------------------------------------------------------------------- % [scr,const]=constColor(scr,const) % ---------------------------------------------------------------------- % Goal of the function : % Compute color with or without gamma linearisation % ----------------...
function [centreline_spline_cell_phyiscal,corresponding_end_pts] = ... Selected_airway_to_spline( ... seg_image, dis_image, manual_points, raw_image, raw_sturct) %This function converts the selected airway and all other proir infromation %realted to the input of the function - Cubic_resampling_and_arclength...
function poly = add2poly(poly,layer,data) % Formats data and appends to a poly struct if nargin > 2 L = length(poly); poly(L+1).layer = layer; poly(L+1).datatype = 0; poly(L+1).n = length(data(1,:)); poly(L+1).x = data(1,:); poly(L+1).y = data(2,:); poly(L+1) = pcheck(poly(L+1)); % c...
%% TEAM: UN-UF-GERS-JEA % Cooperation: Universidad Nacional de Colombia, University of Florida, GERS USA and JEA %% TEAM MEMBERS: % Pedro Garcia, pjgarciag@unal.edu.co, PhD Student at UN % Diego Rodriguez, diego.rodriguez@gers.com.co, International Studies Manager at GERS USA and PhD Student at UN % David Alvarez, dl...
classdef Pool < handle %POOL Summary of this class goes here % Detailed explanation goes here properties(Constant,Access=private) pool = ether.parallel.Pool(); logger = ether.log4m.Logger.getLogger('ether.parallel.Pool'); end properties(Access=private) enabled = true; end methods(Static) function di...
%%%%%% Test Script For Matrix Factorisation : This script factor a matrix A %%%%%%% of size N*N into a product of two matrices U.V of size N*k and k*N % Constant N = 10; % Size of the matrix % Initialization A = rand(N); stringA = 'matrix A'; StringU = 'matrix U'; StringV = 'matrix V'; StringEstimate = '...
function IridiumSBDStatusPlots(sysvector) % Display the power plots fig1 = figure(); fig1.Name = 'Iridium SatCom Plots'; isbd(1) = subplot(2,3,1); hold on; stairs(sysvector('iridiumsbd_status_0.failed_sbd_sessions').Time, sysvector('iridiumsbd_status_0.failed_sbd_sessions').Data); stairs(sysvector('iridiumsbd_status_...
%% ADC Lab Assignment #11 %% Task 1 T0 = 0.1; Fs = 10000; Fc = 300; Kf = 1000*pi; Ts = 1/Fs; t = -T0/2:Ts:T0/2; m = 0.5*cos(20*pi*t); mi = Kf*cumsum(m)/Fs; s_fm = cos(2*pi*Fc*t + mi); figure, subplot(211), plot(t,m), title('Message Signal') subplot(212), plot(t,s_fm), title('Frequency Modulated Signal') %% Task 2...
% example program to show the usage of huffman encoding and decoding % functions clc clear all close all path(path,'encoder') % make the encoder-functions visible to matlab path(path,'decoder') % make the encoder-functions visible to matlab path(path,'analysis') % make the encoder-func...
function [n_pop, n_snap, t, traj_array] = load_MCseqs(m, filepath, filename) % This function reads in data from the file 'filename' found in the % directory 'filepath'. 'filename' could be one of a number of files % producted by the Population Dynamics code. The is a file for the whole % protein (MC_seqs.dat) and files...
function y = dphi3 (x,tj) % x = x/tj; % y = 14*x - 34*3*x.^2 + 52*4*x.^3 - 24*5*x.^4; y = 7*2*(x/tj)/tj - 34 *3*(x/tj).^2/tj + 52*4*(x/tj).^3/tj - 24*5*(x/tj).^4/tj; end
plot(a1(:,1)*1E9,a1(:,2),'r'); hold on; plot(a1(:,1)*1E9,a1(:,3),'b'); hold on; xlabel('tiempo (ns)'); ylabel('Amplitud (V)'); xlim([-40 120]); grid on; grid minor; %delay = 42 figure(); plot(b1(:,1)*1E9,b1(:,2),'r'); hold on; plot(b1(:,1)*1E9,b1(:,3),'b'); hold on; xlabel('tiempo (ns)'); ylabel('Amplitud (V)'); xli...
function val = get(P, prop_name) % % GET Get psf properties from specified object and return % the value. % % val = get(P, prop_name); % % Valid choices for prop_name are: % 'image' and 'center' % % J. Nagy 5/1/01 switch prop_name case 'image' val = P.image; case 'center' val = P.center; otherwise ...
clear all; clc; %% probe fid = fopen('./TIFS_SI-2014_protocols/closedset_probe_3143.txt'); fid_out = fopen('lfw_closeset_probe_list_linux.txt', 'wt'); line = fgetl(fid); while ischar(line) temp = regexp(line, '_', 'split'); name = temp{1}; for i = 2:length(temp) - 1 name = sprintf('%s_%s', name, t...
% metadata animIDs = {'RW2','RW3','RZ2','RZ3'}; genotypes = {'WT','WT','Df1','Df1'}; projDir = '~/Projects/rn_Schizophrenia_Project/'; expDirs = strcat(animIDs,'_'); expDirs = strcat(expDirs,genotypes); expDirs = strcat(expDirs,'_Experiment/'); dataDirs = strcat(projDir,strcat(expDirs,strcat(animIDs,'_direct/'))); base...
function y = fftx(x) n = max(size(x)); omega = exp(-2*1i*pi/n); if(mod(n,2)==0) k = (0:(n/2-1))'; w = omega.^k; %Special case management if(x(1:2:n-1)==x(2:2:n)) u = fftx(x(1:2:n-1)); v = w.*u; else %Recursive step ...
function [] = visualizeKpMaps(dataStruct,kps,partNames,sc) % VISUALIZEKPMAPS Plots the keypoint heatmaps % close all; % Declaring global variables globals; % If there are only three inputs, set the plot title to 0 if(nargin<4) sc = 0; end % Obtain the bounding box and class label information from dataStruct bb...
function [x,y,par,cov] = mcenterstars(image,x,y,r,method) %MCENTERSTARS Calculates the center of star-like objects on an image. % [X,Y] = MCENTERSTARS(IMAGE,X,Y,R) fits individual 2d gaussians at each % specified location given by the list of coordinates (X,Y) and returns % the center of the gaussian (X,Y). R is...
function sub = load_E1_v2(fname) % fname = 'allHorizonData_v1.csv'; % also includes gID data for repeated games %% read data from spreadsheet fid = fopen(fname); hdr = textscan(fid,... '%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s%s', ... 1, 'delimiter', ','); data = texts...
function [ out ] = plot_pic( pic, fig,tit) %PLOT_PIC Summary of this function goes here % Detailed explanation goes here figure(fig) subplot(1,1,1); imagesc(pic); colormap(gray); title(tit); end