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function [indnose, indtail, Boundary] = TuneNosePoint(NumberOfObjects, Boundary, indtail, indTail, Tail1Centroid, CC, p, v) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % function [indnose, indtail, Boundary] = TuneNosePoint(NumberOfObjects, Boundary, indtail, indTail, Tail1Centroid, CC...
%% Plotting script for Berry % show what Logfile you are currently working on: dataFileNameBarry %% Plot the WAM Joint Positions NoSubs = size(BarryData.WAMJointPositions,2); greensHSV = [0.3333*ones(1, NoSubs)', 1*ones(1, NoSubs)', linspace(0.1, 1, NoSubs)']; greens = hsv2rgb(greensHSV); xWAM = (1:length(BarryData....
function [learning_obj, results_filename, model_filename] = init_hyper_params(learning_obj, hyper_params, ofold, ifold, get_only_fname) % function [learning_obj, results_filename, model_filename] = init_hyper_params(learning_obj, hyper_params, ofold, ifold) % input variables: % learning_obj, is the learning instance to...
%% Problem 4: Cruise Control %% Part A: Equilibrium for open and closed loop controllers % beta = a/a_hat: use as domain from 0:2 beta = 0:0.05:2 % let Vss/Vref = V V_ff = 1./beta V_fb = 10./(beta + 10) figure(1) clf hold on plot(beta, V_ff)r', 'latex') hold off saveas(1, "ES155P0_4a_steadystatevsbeta.png") %% Pa...
function varargout = asd(varargin) % ASD M-file for asd.fig % ASD, by itself, creates a new ASD or raises the existing % singleton*. % % H = ASD returns the handle to a new ASD or the handle to % the existing singleton*. % % ASD('CALLBACK',hObject,eventData,handles,...) calls the local % f...
% findE function function E = findE(stress,strain) numberPoints = 10; coeffs = polyfit(strain(1:numberPoints),stress(1:numberPoints),1); E = coeffs(1); % dydx = derivative(stress,strain) % d2ydx2 = derivative(dydx,strain(1:length(strain)-1)) % i = 1; % epsilon = % while abs(d...
function writeToLogField(logFieldHandle) global history; log = ''; set(logFieldHandle,'string',''); for i=1:size(history,2) chessColor=''; if history{i}(1,3)==1 chessColor = 'B'; else chessColor = 'W'; end log=[log,sprintf('%s (%s,%c)\n',ch...
function [M,K] = tc(X,Z,varargin) % Transfer components % Parse input p = inputParser; addParameter(p, 'sigma', 1); addParameter(p, 'mu', 1); addParameter(p, 'nC', 1); parse(p, varargin{:}); % Shapes [~,n] = size(X); [~,m] = size(Z); % Form block kernel K = K_block(X',Z', 'sigma', p.Results.sigma); % Objective func...
%% Nonlinear Conjugate Gradient Method function [point, output, time, iter] = nonlinear_CG(f, f_exact, f_gradient, point, epsilon, max_iter) tic; v = 0.1; % for orthogonality test plot_point = zeros(0, 2); % for plot result before = f(point(1), point(2), point(1), point(2)); % initial function value % initial...
%% Importação dos dados clear; clc; close all; % X = Vetor de entrada dataX = load('FULL_PKCV_data.txt'); dataX = dataX'; % dataX deve ser: atibutos(linhas) x amostras (colunas) % Tamanho do conjunto de dados [m, p] = size(dataX'); % m = numero de amostras, p = numero de atributos % y ...
% Function to check that the same resets are used for equal clocks when % forming the product or input output composition function b = compare_clock(c1,c2,R1,R2) b=1; for i=1:length(c1) for j=1:length(c2) if strcmp(c1{i},c2{j}) && ~strcmp(R1{i},R2{j}) b=0; ...
function [H] = discrete_mean_curvature(V,F) % DISCRETE_MEAN_CURVATURE Compute integrated mean curvature at each vertex. % % H = discrete_mean_curvature(V,F); % % Inputs: % V #V by 3 list of vertex positions % F #F by 3 list of triangle indices into V % Outputs: % H #V list of integrated mean-...
centers_map = containers.Map(); radii_map = containers.Map(); %% Pinky centers_map('pinky_top') = [-1.46; -1.984; -0.419]; radii_map('pinky_top') = 0.16; centers_map('pinky_middle') = [-0.986; -1.698; -0.225]; radii_map('pinky_middle') = 0.18; centers_map('pinky_bottom') = [-0.506; -1.324; 0.059]; radii_map('pinky_b...
function rhs = rhs_skew_NCP(q,~) global params global m11 ; global m12 ; global m13 ; global m21 ; global m22 ; global m23 ; global m31 ; global m32 ; global m33 ; %call get_param('Gittertypus', Gittertypus,default='kartesisch') %call get_param('nt',nt) %[ n1, n...
% imgdata = DumpFrame(myobj, frameNumber) % imgdata = DumpFrame(myobj, frameNumber, cropRect, downsample_pix) % % Retrieve frame number 'frameNumber' from the currently % running plugin. The returned matrix is a matrix of % unsigned chars with dimensions: 3 x width x ...
%% Derivation: Rashad Baiyasi lab notebook 02/01/16-__/__/__: pgs 143-145 clearvars %% Relavant parameters d = 10; %nm NWdiam = 430; %nm rot = @(ttheta) [cos(ttheta),-sin(ttheta);sin(ttheta),cos(ttheta)]; phi_int = pi*108/180; % pentagon interior angle %% Vertices of pentagon % unit pentagon phi_v = pi/180*(...
clear close all % 循环次数 loopcnt = 5; global_cutoff_soc = 0; global_cutover_soc = 100; param{1} = Parameters_init(global_cutover_soc); param{1}.CutoffSOC = global_cutoff_soc; param{1}.CutoverSOC = global_cutover_soc + 1; % 防止一开始就超过界限了 % 放电电流密度 curr_discharge = -25; maxtime_discharge = 10000; % 休息的时间 time_rest = 5000; ...
function [X, idx_nan] = set_nans_zero(X) idx_nan = any(isnan(X),2); X(idx_nan,:) = 0; end
function [cx, minFoM ] = dickson_optimizer_ssl (topology,opt) % dickson_optimizer_ssl(topology,mode,Io): Finds the optimal capacitor relative sizing fora a dkison % topology. The otpimtzation is done for a converter operatin in the ssl % % Based on Michael Seeman work %Input paramters: % + topology: dikson topo...
%Yukai controller. classdef RadioCommandInterpreter <matlab.System & matlab.system.mixin.Propagates & matlab.system.mixin.SampleTime %#codegen % PROTECTED PROPERTIES ==================================================== properties max_turn_per_sec; Vx_tgd_fil_param; Vy_tgd_avg_f...
function yout = zbiornik1(a1,c1,c,w,x1,u) yout = (u-c1*(x1.^a1))/(c*w); end
function [pf, J_pf_f, J_pf_p] = toFrame2D(F, p) T = F(1:2); th = F(3); R = [cos(th) -sin(th); sin(th) cos(th)]; pf = R' * (p-T); J_pf_p = R'; x = T(1); y = T(2); px = p(1); py = p(2); J_pf_f = [... [ -cos(th), -sin(th), cos(th)*(py - y) - sin(th)*(px - x)] [ sin(th), -cos(th), - cos(th)*(px - x) - sin(...
%Powerpoint: Research Questions, Motivation, Lit Review, Contribution load btcchoice_model.mat sample_size = 819; %sample size (time periods) take off 200 at end [stockstates_sample_path_index, index] = deal(3); % starting state(index) for CDF Random Draw stockstates_sample_path = stockstates(index); %Make Probabili...
% This script fixes timestamps in jAER .aedat files that have non-monotonic or very large % timetsamps differences that cause pauses in playback of data. These % timestamp problems are due to early hardware used on early versions of % the DVS128 camera and in some of the CPLD logic designs. % % The maxdt parameter...
% book : Signals and Systems Laboratory with MATLAB % authors : Alex Palamides & Anastasia Veloni % unit step sequence t=-5:0.1:10; u=heaviside(t) plot(t,u) ylim([-0.3 1.3]) figure t1=-5:.1:0 t2=0:.1:10 u1=zeros(size(t1)) u2=ones(size(t2)); t=[t1 t2]; u=[u1 u2]; plot(t,u); ylim([-0.3...
load tennis_data M = size(W,1); % number of players N = size(G,1); % number of games in 2011 season psi = inline('normpdf(x)./normcdf(x)'); lambda = inline('(normpdf(x)./normcdf(x)).*( (normpdf(x)./normcdf(x)) + x)'); pv = 1.2; % prior skill variance (prior mean is always 0) % init...
% This is the main function of EP21 ADAS report m file % with little change, this can also be used on other conditions % for autonomous report generation cd('C:\Users\CaoXing\Desktop\report_latex'); %%% This gives the Path where the .m file is stored fname=mfilename();% m funtion name completepath=mfilename('fullpath...
function [] = computational_experiment() %files = {'50.1sv1(20.15.30) (excellent dataset)', '50.1sv2(20.15.30) (MSE Control do not change)', '50.1sv3(20.15.30) (MSE Control do not change)', '50.1sv4(20.15.30) (Control tend bad)', '50.1sv5(20.15.30) (Tend bad)', '50.1sv5(20.15.30) (Very good)'}; files = {'50.2sv1(20.15...
% Choudhury Noor, Cardy Wei % ECE 455 - Computer Security % Final Project %% Load f = fopen('devrnd_samples.txt','r'); s = fscanf(f,'%s'); bits_linux_full = nan(size(s)); for i = [1:length(s)] bits_linux_full(i) = (str2double(s(i))); end fclose(f); f = fopen('custom_samples.txt','r'); s = fscanf(f,'%s'...
function [ML,MU] = munu_m_d % % Deletes the global data that has been generated by 'munu_m_i'. % % Calling sequence: % % munu_m_d % [ML,MU] = munu_m_d % % Output: % % ML, MU LU factors of M % % ML and MU are returned just in case the LU factors of M are needed for some % reason after...
function dsp__plot_mult_spect() plot_day = '042517'; % LINE SPEC windows = { [0 300] }; plot_over_frequency = true; line_limits = [ -.15 .07 ]; % SPECTROGRAM SPEC color_limits = [ -.15 .07 ]; % BEHAV CORRELATIONS time_freq_windows = { {[100 200], [45 65]}, {[200 300], [15 30]}, {[-50 50], [50 65]}, {[-50 50],...
% cemDipoleRadiating % Ian Cooper % email: matlabvisualphysics@gmail.com % 220815 / Matlab version R2021b % DOING PHYSICS WITH MATLAB % https://d-arora.github.io/Doing-Physics-With-Matlab/ clear close all clc % Animated gif ======================================================= % Show and Save...
%fig3-3 set(0,'DefaultAxesFontName', 'Arial'); set(0,'DefaultAxesFontSize', 12); % Change default text fonts. set(0,'DefaultTextFontname', 'Arial'); set(0,'DefaultTextFontSize', 12); %spikes spikes_data = load('activity_contr_ampl3.csv'); min_time = 100; max_time =200; start_index = find (spikes_data(:,...
%% % % % The Bravo Dome carbon dioxide gas field is located in northeast New Mexico. The Bravo Dome field % covers approximately 3200 km^2. Production in 1989 was 3.2e9 cubic meter of gas from 272 % wells. Cumulative production at the end of 1989 was 17e9 cubic meter. Estimated recoverable % reserves are more than 2...
function prismatic start = -.3; finish = -.8; startvelocity = 0; finishvelocity = 0; n = 20; dt = 1/(n-1); M = 10; I = 1; % bang bang! pos = zeros(n,1); vel = zeros(n,1); acc = zeros(n,1); pos_cur = start; s = sign(finish - start); pos(1) = start; vel(1) = startvelocity; for i = 2:n ... if start < fi...
function msm_to_hb ( output_filename, A, rhs, title, key, type, ifmt, job ) %*****************************************************************************80 % %% MSM_TO_HB writes a MATLAB Sparse Matrix to a Harwell Boeing Sparse Matrix file. % % Usage: % % For full control: % % msm_to_hb ( output_filename, ...
% Copyright (c) 2017 Zi Wang function K = computeAddKnm(xx, xxp, hyp, hyp_idx, z) % Compute the additive kernel Knm all_cat = unique(z); K = 0; for i = 1:length(all_cat) K = K + computeKnm(xx(:,z==all_cat(i)), xxp(:,z==all_cat(i)), ... hyp.l(hyp_idx, z==all_cat(i))', hyp.sigma(hyp_idx, all_cat(i))); end
function [ my_preproc ] = cm_maxlabPreproc( EEG,currentSub,iSub,RUN ) %Simplifies preprocessing by allowing you to change parameters of RUN % RUN.maxlabPreproc contains several ways of preprocessing % Output can be saved then loaded for further analysis global RUN %% Filter - currently in EEGLAB %EEG = po...
%% Clear memory and set path clearvars; close all; clc home = pwd; cd ..; cd ..; base = pwd; cd(home); addpath(fullfile(base,'CoFE_toolbox')) %% CASE data % input file inputFile = 'seventyTwoBarTruss.bdf'; % SUBCASE 1 CASE=case_obj; CASE.SOL = 101; CASE.SPC = 1; CASE.LOAD = 1; CASE.STRESS=1; % SUBC...
function len = polygonLength(poly, varargin) %POLYGONLENGTH Perimeter of a polygon. % % L = polygonLength(POLYGON); % Computes the boundary length of a polygon. POLYGON is given by a N-by-2 % array of vertices. % % Example % % Perimeter of a circle approximation % poly = circleToPolygon([0 0 1...
function [time_1,time_2] = timeAndVol(neib_1,neib_2) predict = readData('E:\traffic_data\detector_data\157\predict-cross.csv',2,80); % [neib_1,neib_2] = correlation('E:\traffic_data\detector_data\157\neighbor_1.csv','E:\traffic_data\detector_data\157\neighbor_2.csv','E:\traffic_data\detector_data\157\predict-cross.csv'...
%% ------------------------- Registration ------------------------------ %% %% --------------------------------------------------------------------- %% close all clear, clc %% ------------------------ Data set: Brooks --------------------------- %% %% ------------------------- Load matricies ----------------------...
function [post, a] = gmmpost(mix, x) %GMMPOST Computes the class posterior probabilities of a Gaussian mixture model. % Check that inputs are consistent errstring = consist(mix, 'gmm', x); if ~isempty(errstring) error(errstring); end ndata = size(x, 1); a = gmmactiv(mix, x); post = (ones(ndata, 1)*mix.priors).*a;...
%Script that approximates the side and drag forces, the average rotor %torque acting on a rotor disk, and the power requirement to drive the %rotor for a rotor disk of user-specified geometry travelling at a %user-specified air velocity with vertical and forward components. %Written by Jonathan De Sousa %Credit to Dr...
classdef CornersMethod < exmethods.AbstractMethod methods function st = extract(this, bwEyeIm) [l,r] = this.getCorners(bwEyeIm); quadMeanL = sqrt(mean(l.Location.^2)); quadMeanR = sqrt(mean(r.Location.^2)); densityL = mean(pdist2(quadMean...
function [voxSet, voxSet_collapsed] = getVoxelSet(infoCell) %UNTITLED2 Summary of this function goes here % input - voxSelMat - [iter x CVB] % output - voxSelIdx - [iter x 1] - idx of set of vox selected nIters = size(infoCell,2); if nIters ~= 0 NCVB = size(infoCell{1}.voxSel,2); voxSet = cell(nIter...
function L = ImageProcessing(image, threshold) % splits up an image into good and bad region % INPUTS: % image - an RGB image, made by doing imread() % threshold - threshold to find edge vs paper (default is set to 0.3) % OUTPUTS: % L - sectioned image that is 1 for bad area, and 0 for good area if nargin == 1 ...
function PlotJointData(J) jname = sprintf('%s/%s Joint', J.name1, J.name2); nsubplotst(J.T,J.t1,sprintf('%s Torque on %s',jname, J.name1)); nsubplotst(J.T,J.f1,sprintf('%s Force on %s',jname, J.name1)); nsubplotst(J.T,J.t2,sprintf('%s Torque on %s',jname, J.name2)); nsubplotst(J.T,J.f2,sprintf('%s Force ...
function header=read_protocol_header(filename); % function header=read_protocol_header(filename); % % function to read parameters from siemens ascii protocol header % (e.g., MrProt.asc or meas.asc for VA15 and VA21, respectively) % and output the information in a matlab structure variable "header" % **************...
function c=inmultire(d,inm) T=0; for i=length(d):-1:1 c(i)=d(i)*inm+T; T=floor(c(i)/10); c(i)=mod(c(i),10); endfor while T c=[mod(T,10) c]; T=floor(T/10); endwhile endfunction
function [xmin, fmin] = minima (f, a, b, tolm) % one-dimensional minimization % Brent's method % input % f = objective function coded as y = f(x) % a = initial x search value % b = final x search value % tolm = convergence criterion % output % xmin = minimum x value % fmin = minimum...
function theoretical_BER = Theo_ber( varargin ) if nargin == 6 % DF K=1 CH_sd = varargin{1};%获取传入的第1个参数 CH_rd1 = varargin{2};%获取传入的第2个参数 POW_S_sd = varargin{3};%获取传入的第3个参数 POW_N_sd = varargin{4};%获取传入的第4个参数 POW_S_rd = varargin{5};%获取传入的第5个参数 POW_N_rd = varargin{6};%获取传入的第6个参数 gamma_...
%% What is the percentage of beds capacity for ICU (Intensive Care Unit) beds in each country? % when the goverment decided to restrict any gathering in this timeline? any_gathering_restrict_start_date_spain='14/03/2020' any_gathering_restrict_start_date_canada='23/03/2020' icu_bed_s=icu_data_s().' icu_bed_c=icu...
%% randwalks.m % From A First Course in Machine Learning, Chapter 4. % Simon Rogers, 01/11/11 [simon.rogers@glasgow.ac.uk] % Random walk examples clear all;close all; %% Define the starting point w = [0;0]; %% Define the jump covariance si = [0.1 0;0 0.1]; %% Do N steps path(path,'../utilities'); N = 10; figure(1); ...
fileID = fopen('result.txt'); step = 5; n = 102; y = zeros(n); x = zeros(n); for i = 2:(n-1) x(i) = 0.005 + 0.01*(i-2); end x(1) = 0; x(102) = 1; y(1) = 100; y(102) = 0; for i = 1:step for j =2:101 y(j) = fscanf(fileID,'%f',1); end plot(x,y,"linewidth",2,"r"); hold on; end
function [psth,x] = genBEZpsth_stochastic(stim,stim_fs,dB,CFs,nfibers,ANpar) %generates post-stimulus spike histograms for a vector of center %frequencies and for a set of fibers corresponding to each center %frequency. In this function we call the Bruce, Erfani & Zilany (BEZ) model %described in Bruce et al. (2018): ...
function boozer_data = read_Boozer_output(fname_ext) try % matlab 2009a and newer disp('<---Using Matlab''s built-in netcdf support'); ncid = netcdf.open(fname_ext, 'NC_NOWRITE'); ns_bID = netcdf.inqVarID(ncid, 'ns_b'); boozer_data.ns_b = netcdf.getVar(ncid, ns_bID); % number of surfs nf...
% Copyright (C) 2012 Quan Wang <wangq10@rpi.edu>, % Signal Analysis and Machine Perception Laboratory, % Department of Electrical, Computer, and Systems Engineering, % Rensselaer Polytechnic Institute, Troy, NY 12180, USA % % You are free to use this software for academic purposes if you cite our paper: % Qu...
function launch_az = launchAzimuth(i, r, lat, inertial) % LAUNCH_AZ = LAUNCHAZIMUTH(I,LAT,INERTIAL) calculates an appropriate % launch azimuth for a rocket to reach an orbit with a given inclination % and radius, from a launch site at a given latitude. % % Inputs: % I - inclination of the orbit (degre...
function varargout = initval_2c(this) %% Load data C = this.coords; x = C(:,1); y = C(:,2); %% Centroid xc = mean(x); yc = mean(y); xr = x - xc; yr = y - yc; %% Determine principal axis angles = 0 : 2*pi / 100 : 2*pi ; proj_score = NaN(length(ang...
%%% Modified by Lo´c Chaubet November 10th 2017 %%% %/Users/loicchaubet/OneDrive - McGill University/DATA/Hossein/Loic/Blebb/Sept_22_added_Set3/C193_P7/p4_great_analysis/others %0.4set3_maybe.txt clear close all clc datdir=[pwd '/']; cd(datdir); %%% enter the file name here, make sure the current matlab working folde...
function [test_results, performance, performance_age] = test_results_mlp(type, test_x, test_y,... weights, biases, output_activationF) % 2016-06-24 % Yejin Cho (scarletcho@korea.ac.kr) %% Test results (performance) in multi-layer perceptron switch type case 'classification' for sample = 1:size(test_x...
clc clear all; close all; xn1=input('enter sequence 1'); xn2=input('enter sequence 2'); n1=length(xn1); n2=length(xn2); if(n1~=n2) if(n1>n2) xn2=[xn2 zeros(1,(n1-n2))]; n=n1; else xn1=[xn1 zeros(1,(n2-n1))]; n=n2; end else n=n1; end xk1=fft(xn1,n); xk2=fft(xn2,n); disp('d...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % % Center for Astronomy Signal Processing and Electronics Research % % http://casper.berkeley.edu ...
function r = ndcorr(a,b) % r = ndcorr(a,b) ; % where a,b are n-d arrays (n>=2) % correlation coefficient (pearson) between two n-d arrays. a = a(:) - mean(a(:)) ; b = b(:) - mean(b(:)) ; % mean subtract r = sum(a.*b)./(sqrt(sum(a.*a)).*sqrt(sum(b.*b))) ; % normalized covariance end
% book : Signals and Systems Laboratory with MATLAB % authors : Alex Palamides & Anastasia Veloni % DTFT properties %time shifting syms w n= 0:3; x=[1,2,3,4] ; n=0 :5 ; xn0=[0 0 x]; %x[n-n0]=[0,0,1,2,3,4] Left=sum(xn0.*exp(-j*w*n)); ezplot(abs(Left),[-pi pi]) title('| DTFT(x[n-n_0]) |') ylim([2 1...
function result = EllipticCE( K ) %ELLIPTICCE Complementary complete elliptic integral of the 2nd kind. % ELLIPTICCE(K) is the complementary complete elliptic integral of the % 2nd kind of the elements of modulus K. The elements of K must all be % real. % % See also % mEllipticCE % ELLIPTICCE is a w...
% ssc_refrigeration % ssc_building_ventilation clear all %% Parameters % Building building_height = 2.5; building_length = 15; building_width = 10; door_area = 1.2; duct_area = 0.01; % Fan fan_flow_rate_table = [0,0.08, 0.12, 0.16, 0.2]; fan_setting_table = [0,1,2,3,4]; % Floor floor_heat_transfer_coeff_internal = ...
function [ positions ] = world2local( pos ) %UNTITLED2 Summary of this function goes here % Detailed explanation goes here global body2LegTmat; global bodyTmat; legTmat2body(:,:,1) = [[body2LegTmat(1:3,1:3,1)',-body2LegTmat(1:3,1:3,1)'*body2LegTmat(1:3,4,1)];0 0 0 1]; legTmat2body(:,:,2) = [[body2LegTmat(1:3,...
%% Init D = load('bg.txt'); % load initial dataset [X, ~] = size(D); % get x dimension D = [D, ones(X, 1)]; % add bias l = ones(X, 1); l(101:200, 1) = -1; D = [D, l]; % add label dimension [X, Y] = size(D); % recomputing dimensions DS = load('seeds_dataset.txt'); % 'seeds' dataset [P, Q] = size(DS); l = DS(:, ...
function [ ] = segmentation( inputimg ) Lc = bwlabel(inputimg); stats = regionprops(Lc,'all'); [x y] = size(stats); for i=1:x figure, imshow(stats(i).Image); end end
function write_orients(orients filename) imwrite(orientim(orients), filename);
function [ result, errors, timeUse ] = CG( A, b ) %CG Summary of this function goes here % Detailed explanation goes here n = size(A, 1); x = zeros(n, 1); errors = zeros(1, 1); tic; rk = b - A*x; % it is the r(k) pk = rk; timeUse = 1; last = x; while timeUse alpha = dot(rk, rk) / dot(pk, A*pk); x =...
function [finalScore] = evaluateModel_quiz( score, numQs, showResults) if nargin < 3 showResults = true; end % This function assume the data is the quiz data % Namely, the input data can be converted to "cardinality X numQs matrix" global p; if numel(score) ~= p.maxItems * numQs error('Size of the data is ...
%clear; if(exist('data_array','var')==0) data_array = []; end label = 'CounterclockwiseRound';%标签名字 dirPath = 'G:\无源感知研究\数据采集\2019_04_28_copy\6'; fileNums = 19; fileNames = traversing_folder(dirPath,'*.dat'); %循环遍历整个文件夹,并写入数据集 for i=1:fileNums %读取CSI幅值,并进行滤波 amplitude = csi_amplitude_reading(strcat(dirPat...
function [feats, im_cat] = extr_image_feats(im, frms_img_dir, vars) % Main variables: % % sliding window: % x_1 = 1 % x_n = x_{n-1} + (win_wid - n_overlap) % % window parameters: % x % y % wid % hei % n_olp % % grid parameters: % n_grid_row % n_grid_col % % FEATS for...
function lapackhelp(func) %LAPACKHELP View online documentation for LAPACK and BLAS. % LAPACKHELP(ROUTINE) displays the documented source code for the % BLAS/LAPACK routine named ROUTINE. This contains detailed % descriptions about what the routine does and what the arguments % should be. % % LAPACKHELP() ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % 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: T...
function p = rcdf(R,N) t = R.*sqrt((N-2)./(1-R.^2)); p = 2*tcdf(-abs(t),N-2);
% remove Remove sinusoid from a PDV measurement % % This method removes a sinusoid: % s(t) = A cos(2*pi*f0*t) + B sin(2*pi*f0*t) % from a PDV measurement. The frequency and amplitudes of the sinusoid are % determined from a target domain and then assumed to be valid for the % entire measurement. % >> object=re...
function [ry,rye,t,vary]=acf(a,c,v,m); %Usage: [ry,rye,t,vary]=acf(a,c,v,m) % % a: Denuminator polynomium % c: Numinator polynomium % v: Innovation variance. % m: max number of lags % % ry: covariance function % rye: cross covariance function % t: time index % Programmed 1994 by Niels K. Poulsen...
function [b]=chi(mat1,mat2,gamma) % mat1 is of dimension d*n % mat2 is of dimension d*m % Out put is of dimension n*m [d n]=size(mat1); [d m]=size(mat2); epsilon=0.000000001; % b=zeros(size(mat1,2),size(mat2,2)); % b=zeros(n,m); b=[]; for i=1:n D=mat1(:,i)-mat2; D=D.^2; E=mat1(:,i)+mat2+epsilon; f=exp(...
function [scatterH,f] = imfindpeaks( imH,varargin ) %IMFINDPEAKS Interactively adjust image contrast and filtering to find %peaks. This does change imH.CData! % IMFINDPEAKS(imH) % IMFINDPEAKS(imH,default) % IMFINDPEAKS(imH,varargin) % IMFINDPEAKS(imH,default,varargin) % - default is a struct with optional f...
%Iegustam attelu clear img=imread('humface2.jpg'); detected_output = csvread('detected_output.txt'); siz=size(img); %no YCBR panem spilgtuma koef R=img(:,:,1); V=img(:,:,2); B=img(:,:,3); img_R(:,:,1)=R; img_V(:,:,2)=V; img_B(:,:,3)=B; Y = 0.299*R+0.587*V+0.114*B; img_Y(:,:,1) = Y; img_grey=img_Y(:,...
function [b,e] = halftoneThreshold(f,T) [N, M] = size(f); b = zeros(N,M); for i=1:N for j=1:M if (f(i,j) > T) b(i,j) = 255; else b(i,j) = 0; end end end temp=0; for i=1:N for j=1:M temp = temp + (doubl...
function detectmove(image1, image2) %----------------------------------------- %-------- Traitement de l'image 1 -------- %----------------------------------------- % Converti l'image RGB en YCBCR. image=rgb2ycbcr(image1); image2=rgb2ycbcr(image2); % Créé la matrice a qui représente Cb (Y' - bleu). a=image(:,:,2); %...
A=[ 1 2 3; 4 5 6; 7 8 9 ]; fid = fopen('a.txt','wt'); fprintf(fid,'%d %d %d \n',A'); fclose(fid);
function datasetPlot(Tests,InputsSelected,dates,opt) % Plots dataset contained in array of structs -Tests- % % INPUTS % % - Tests row vector of 21 cells of struct type with fields % .tt : row vector starting from zero, time of input signals % .uu : ...
function fourier2d(img, fe) [M, N]=size(img); cx=(0:N-1)-floor(N/2); cy=(0:M-1)-floor(M/2); [X, Y]=meshgrid(fe*cx/N, fe*cy/N); img=double(img); Z=abs(fft2(img-mean(img(:)))); Z=fftshift(Z); subplot(131); imshow(img, []); title('Image'); ...
%{ RGB = imread('test2.jpg'); J = RGB_Mask(RGB); J = imfill(J, 'holes'); BW = edge(J,'canny'); [H,T,R] = hough(BW,'RhoResolution',0.5,'Theta',-90:0.5:89); subplot(2,1,1); imshow(RGB); title('gantrycrane.png'); subplot(2,1,2); imshow(imadjust(rescale(H)),'XData',T,'YData',R,... 'InitialMagnification','fit'); title...
function [x_Jdot] = Jdot() x_Jdot=[[sec(Subscript(\[Theta],1)(t)).^2.*Derivative(1)(Subscript(\[Theta],1))(t),sec( ... Subscript(\[Theta],1)(t)).^2.*Derivative(1)(Subscript(r,y))(t) + (-0.258) ... .*cos(Subscript(\[Theta],1)(t)).*Derivative(1)(Subscript(\[Theta],1))(t) + ( ... -0.04).*sin(Subscript(\[Theta],1)(t)...
%% This script will epoch all segments of the newly-converted .mat file % into 2-second epochs, perform a bandpass filter, ICA, and artifact % rejection of visually inspected artifacts. Preprocessed data will be % saved with the suffix '_CompRej.mat' into the same mat directory for % further analyses. ft_defaults; %...
classdef TracesFret4 < TracesFret % TracesFret: multi-channel FRET traces % % Traces class with extra properties for additional data channels, including % donor2, acceptor2, and fret2 for three-color FRET and two-pair FRET % experiments, and factor/factor2 channels for miscellaneous fluorescence % channels...
function found = large_elements(A) [row col] = size(A); found = []; for ii = 1:row for jj = 1:col if A(ii,jj) > ii + jj % if the element is larger than the sum of its indexes found = [found; ii jj]; % add a new row to the output matrix end end ...
function f = box_list(start,finish) %BOX_LIST Create an index list for a d-dimensional box. % F = BOX_LIST(START,FINISH) creates a kxd array F from two d-dimensional % coordinates START and FINISH. F contains all the d-dimensional indices % in the box [START(1),FINISH(1)]x...x[START(d),FINISH(d)]. % % ...
function ih = script_inheritance_2ind(input_pedigree, family_id, ind1, ind2) ih.descent_graph = descent_graph_2ind(input_pedigree, family_id, ind1, ind2); ih.num = ih.descent_graph(1,1); [ih.is ih.transition] = hasse_matrix(ih.num); [ih.prob_f, ih.tran_list] = condense_inheritance(ih.descent_graph)...
%% load the data [data,textdata,raw]=xlsread('../gasprices.xls'); %% Define colheaders colheaders=textdata(end,:); %% save into gasprices.mat save gasprices %% Define variables for prices in Germany and Mexico and a vector with the years Germany=data(:,5); Mexico=data(:,8); Year=data(:,1); Prices=data(:,2:end); %% Com...
pn = 1; for n = 1:20 pnp1 = exp(1) - (n + 1) * pn; pn = pnp1; disp(pn) end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Read .bag files % Sangjun Lee % 8/30/2018 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% clear; close all; clc; %% Copy bag file from Jackal to lacal folder % scp administrator@192.168.1.104:/home/administrator/bagfiles/2018-08-30-16-34-13.bag /Users/SangjunLee/Mupasa/BoilerMaker/Resear...
function P2 = interpolate_Pgth(P,u,v,q) er = 1e-4; nC = 20; P2 = zeros(3*length(u(:,1)),length(q(1,:))); for i = 1: size(u,1) idx = find(u(i,:)~=0 & v(i,:)~=0); idx2 = q(2*(i-1)+1,:)~=0; q1 = q(2*(i-1)+1:2*(i-1)+2,idx2); umin=min([u(i,idx),q1(1,:)])-0.001;umax=max([u(i,idx),q1(1,:)])+0.001; vmi...