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function [ H, data ] = meanCurv( mesh, vertices, mode ) %MEANCURV estimate mean curvature at vertices % [Ryan Schmidt rms@dgp.toronto.edu 09/2008] % - if vertices is undefined/empty, compute for entire mesh % - returned data is mode specific % - valid modes are: % 'normal' - Schneider & Kobbelt 01 v...
clear; close all; clc; % Parameters for this code CompareFmincgWithManualIterations = 0; ComputeNormalEquation = 0; BinaryClassificationManual = 0; MultiClassClassification = 1; % Use a test vector X X = [0.01 : 0.01 : 8]; %1xm X = X'; %Make it mx1 % y = X^2 + 3 %y = (X .* X) + 3; y = sin(X); %y = (X + 3) - X; ...
% ========================================================================== % Patick Chabelski - 998242012 % AER510 Project 1 - Bypass Engine Optimization % ENGINE: 2-spool turbofan engine, high-pressure turbine operating the core % compressor, low-pressure turbine operating the fan. % GOAL: Minimize Cost Function vi...
classdef gameConstant < Game %GAMECONSTANT This is a concrete class defining a game where rewards a % are fixed. % Nothing needs to be filled up here - this is a complete example % Only the constructor is defined here methods function self = gameConstant() % The construc...
function BoxResiduals % BoxResiduals usage: % % BoxResiduals % % Compares results from multiple runs of FABBER by making box-and-whisker % plots of the residuals. % % % Copyright (C) University of Oxford, 2017 % % % Created by MT Cherukara, 24 October 2017 % % CHANGELOG: % while loop to keep adding datas...
function Y = OFDMmodulator(data) %input data in cell array %number of data subcarriers numOfSubCar = 53; numOfChannelSymbols = ceil(length(data)/numOfSubCar); H = comm.OFDMModulator; Y = {}; for iChannSymb = 1 : numOfChannelSymbols dataInd = (iChannSymb-1)*numOfSubCar + 1 : min((iChannSymb-1)*numOfSubCar + 53,...
function [xs,ys,info] = sedumi2sdpam(As,bs,cs,K,opts) % function [x,y,info] = sedumi2sdpam(A,b,c,K,opts); % % DESCRIPTION % This function solves a cone optimization specified in Sedumi format % using the SDPAM solver. The function converts the inputs from % Sedumi format to SDPAM format, solves the problem with ...
% defining relevant parameters t= -10:0.001:10; y=zeros(0,length(t)); N=1; % define relevant expressions syms t; T= 2*pi; a=-pi; b=pi; xt = cos(t); % function call to fourierCoeff which returns array of fourier coefficients F = fourierCoeff(N,T,t,xt,a,b); % plotting FS_idx = -N:N; figure; stem(FS_idx,F); grid on...
function [P,F,df1,df2] = angequalmeans(ang1,ang2,method) % ANGEQUALMEANS - Test for equal means in two groups of angles % % [P,F,df1,df2] = angequalmeans(ang1,ang2,method) % % Test for equal means in the two groups ang1 and ang2 using one of % the following methods: % 'watson-williams','ww','parametric': Parametr...
%used to regenerate technical, trajectory or metadata files: %comment out what you don't need to produce... clear all global THE_ARGO_FLOAT_DB global ARGO_SYS_PARAM if isempty(ARGO_SYS_PARAM) set_argo_sys_params; end getdbase(0); count = 0; %using this to just do 5 floats. %% Iridium for ii = 1:length(THE_ARGO_FL...
function isgn = r8vec_compare ( n, a1, a2 ) %*****************************************************************************80 % %% R8VEC_COMPARE compares two R8VEC's. % % Discussion: % % The lexicographic ordering is used. % % Example: % % Input: % % A1 = ( 2.0, 6.0, 2.0 ) % A2 = ( 2.0, 8.0, 12.0 ) % ...
% A set of test commands deisgned to check how splitting data into a % positive and negative branch affects the outcome. [m,n] = size(XDat); W_split = [w_pos,w_pos]; X_split = zeros(2*m,n); X_pos = zeros(m,n); X_neg = zeros(m,n); for i = 1:n for j = 1:m if XDat(j,i) >=0 X_split(j,i) = XDat(j,i)...
function StatisticsandVisualisation(hStorage,runTime,timeSteps,FEvals,tInterval,z,espis,type,choice) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % This function takes in the output from the model and performs either % visualisations or statistics on the output depending on the user inupt...
%Testing Fourier Transform function c = FourierTransform(Lam,MM4,width); w = width/2; for x = 1:length(Lam) if (x > w) && (x < (length(Lam)-w)) LamNew = Lam(x-w:x+w); Fs = (LamNew(length(LamNew))-LamNew(1))/length(LamNew); t = (0:length(LamNew)-1)/Fs; Y = fft(MM4((x-w):(x+w))); ...
function [ss, iter] = inprod_Dbasis_Data2LD(fdobj1, fdobj2, ... coefStr1, coefStr2, ... Lfdobj1, Lfdobj2, ... EPS, JMAX, JMIN) % INPROD_DBASIS Computes the three-way tensor...
function MatingPool = MatingSelection(PopObj,Rank) % The mating selection of one-by-one EA %-------------------------------------------------------------------------- % The copyright of the PlatEMO belongs to the BIMK Group. You are free to % use the PlatEMO for research purposes. All publications which use this % pla...
clear all %% Phantom Parameters x_size = 10; %x size of phantom y_size = 10; %y size of phantom z_size = 30; %z size of phantom %% Read Parameters from .mat file for each peak SI = zeros(x_size,y_size,z_size); %create array of zeros to save the intensity of phantom Positions = load('PhantomTrial1'); parm = Positions...
############################################################################### # Return the probability of false positives ############################################################################### # Authors: # --> Catarina Silva # ############################################################################### # ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % 本函数用于计算修正夏普比 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function modifiedSharpeR = modifiedSharpe( R,Rf,VaR) loc = isnan(R) | isnan(Rf); R (loc) = []; Rf(loc) = []; udAlpha = VaR; z = udAlpha; S = skewness(R);...
table_data = readtable('../model/test.csv');
% This function takes 3-D points and their reprojection 2-D points in % setero camera, then do the bundle adjustment. % Inputs: % P - Nx3 matrix of 3D coordinates % p1 - Nx2 set of points in left camera % p2 - Nx2 set of points in right camera % K1 - 3x3 camera calibration matrix 1 of left camera % K2 - 3x3 ...
function binary_serial_video_encoded = huff (frame_size, numfiles) load('video_ypbpr.mat', 'video_Y_serial', 'video_Pb_serial', 'video_Pr_serial'); load('serial_class.mat', 'class_Y_DC', 'class_Y_AC', 'class_PbPr_DC', 'class_PbPr_AC'); load('huffman_dict.mat', 'dict_Y_DC', 'dict_Y_AC', 'dict_PbPr_DC', 'dict_PbPr_AC');...
function normX = Norm( X, type ) % Norm Matrix or vector norm. % norm(X,2) returns the 2-norm of X. % % norm(X) is the same as norm(X,2). % % norm(X,1) returns the 1-norm of X. % % norm(X,Inf) returns the infinity norm of X. % % norm(X,'fro') returns the Frobenius norm of X. % % In addition, for ...
function bc = util_get_betweenness( network_connection_matrix, varargin ) %UTIL_GET_BETWEENNESS Calculate the betweenness centrality from network %connection matrix. % Input: % network_connection_matrix: The network connection matrix. (CCPeak) % thresholding: Used to threshold the netw...
clear all; close all; syms t 'positive' syms w 'real' syms y(t) syms tau G = fourier(1/y(t))
clear all close all clc %% % Insert the name of the file e.g. smallnetwork_adj %filename = input('Insert the name of the file without the file type (e.g. example) : ','s'); % Insert the txt file's name uiwait(msgbox('Browse to your file')); [FileName,PathName] = uigetfile('*.txt','Select the input fi...
function [ds, bs, trees] = imgdetect(im, model, thresh, ds_prev) % Wrapper around gdetect.m that computes detections in an image. % [ds, bs, trees] = imgdetect(im, model, thresh) % % Return values (see gdetect.m) % % Arguments % im Input image % model Model to use for detection % thresh Detection ...
function out = camel(str) %CAMEL Converts a string to camelCase using regular expressions. % %INPUTS: % str - String or cell array of strings. % %OUTPUTS: % out - CamelCased version of input. % %SYNTAX: % out = camel(str) % Copyright 2013, The MITRE Corporation. All rights reserved. %==============================...
function ds = modelTestSets(exp_id, fun, dim, inst, varargin) % ds = modelTestSets(exp_id, fun, dim, inst, opts) creates/loads dataset % from experiment 'exp_id'. % % Input: % exp_id - experiment id where the CMA-ES logs are saved % fun - BBOB function numbers to load % dim - dimensions to load (2, 3, 5, 10...
function pcaTrajectoriesCalcDistance(outputPath, generalProperty, imagingData, BehaveData) % the output path contain the path of the file to be saved and the % animalname and the date split by char ',' % it can be like this - 'C:\\,output.xlxs,M31,21/1/18' splitRes = strsplit(outputPath,','); % analysis [labels, exami...
clc clear close all %% 1. for original image org_img = imread('original.jpg'); if size(org_img,3)>1 org_img = rgb2gray(org_img); end [org_M, org_N] = size(org_img); org_hist = imhist(org_img); org_cdf = cumsum(org_hist) / (org_M*org_N); %% 2. for reference image ref_img = imread('reference.jpg'); i...
function [solution,mu_vec,cpt_qp,mem] = mpc_qp_solve_dense(H,g,C,lu,uu,lc,uc,sizes,mem) nu=sizes.nu; N=sizes.N; options = qpOASES_options('MPC'); if mem.qpoases.warm_start==0 [QP,solution,fval,exitflag,iterations,multiplier,auxOutput] = qpOASES_sequence('i',H,g,C,lu,uu,lc,uc, options); ...
function [string,startRT,endRT] = GetEchoStringFreeResponse(window,msg,x,y,cueColor,bgColor,respColor,margin) % % [string,startRT,endRT] = GetEchoStringFreeResponse(window,msg,x,y,cueColor,bgColor,respColor,margin) % % Gets a subject's response to question MSG and displays it as they're typing. % % This version w...
%log(range) function feature_v = featureLogRange(enf) max_enf = max(enf,[],2); min_enf = min(enf,[],2); range_enf = log(max_enf - min_enf); feature_v = range_enf; end
function [Ptx,Pty,Pn,dtxdux,dtxduy,dtxdun,dtydux,dtyduy,dtydun,dtndun] ... = BOUCWEN_U_P(uxyn,pn0,pars,uxyntxynp) %BOUCWEN_U_P 3D Planar uncoupled Bouc-Wen model Pressure and Jacobians % USAGE: % [Ptx,Pty,Pn,Jttx,Jtnx,Jtty,Jtny,Jnn] = BOUCWEN_U_P(uxyn,pn0,pars,uxyntxynp); % INPUTS: % uxyn : (Npx3) 2 tangenti...
function [p,s] = CV_total_LS(x,y) % %CV_total_LS - total least squares method to fit best line to points % (Forsyth and Ponce page 335 %On input: % x (nx1 vector): x coordinates of points % y (nx1 vector): y coordinates of points %On output: % p (1x3 vector): coefficients of best fit l...
% ex06 : gstat example ex06.cmd cmd_file='ex06'; [pred,pred_var,pred_covar,mask,G]=gstat(sprintf('%s.cmd',cmd_file)); figure(6),clf; imagesc(mask.x,mask.y,pred(:,:,1)); cb=colorbar; axis image title('Unconditional Gaussian simulation') watermark(sprintf('GSTAT %s.cmd - %s',cmd_file,G.mgstat.comment{2})); pri...
function [y,elev,wse] = ExtractMCS %% %Loads and plots the mean cross section bathymetry for a series of files %from .mat files output from VMT. Flips XS if looking upstream so all XS %should be oriented looking DS. %P.R. Jackson, USGS, 7/16/09 %% Load the files % Prompt user for directory containing f...
for i=1:11*11 sxx=sxx2(i);sxy=sxy2(i);sxz=sxz2(i); syx=sxy2(i);syy=syy2(i);syz=syz2(i); szx=sxz2(i);szy=syz2(i);szz=szz2(i); s=[sxx sxy sxz;syx syy syz;szx szy szz]; [v,d]=eig(s); dd=eig(s); Ta(i)=max(dd); Pa(i)=min(dd); for j=1:3 [thet(j),phi(j),r(j)]=cart2sph(v(1,j),v(2,j),...
function [theta] = main() [X_train,Y_train,X_test,Y_test] = load_planets_data('../data/habitable_planets_detailed_list.csv','../data/non_habitable_planets_confirmed_detailed_list.csv','../data/feature_index.csv'); [theta] = logistic_regression(X_train,Y_train); fprintf('%f \n', theta); fflush(stdout); [er...
function [ P_bd ,Detector_Mask,R] = myP_bd_Tube_Calculator( Resolution,N ) Grid_x_start=-Resolution;Grid_x_end=-Grid_x_start;Grid_y_start=Grid_x_start;Grid_y_end=Grid_x_end; [X,Y] = meshgrid(Grid_x_start:Grid_x_end,Grid_y_start:Grid_y_end); R=sqrt(Grid_y_end.^2+Grid_x_end.^2)/sqrt(2);% Radius of CT Scanner Theta_S=...
function Lfdobj = Lfd(m, wfdcell, afdcell, ufdcell) % LFD creates a linear differential operator object of the form % % Lx(t) = w_0(t) x(t) + w_1(t) Dx(t) + ... % w_{m-1}(t) D^{m-1}x(t) + D^m x(t) + ... % a_1(t) u_1(t) + ... + a_k(t) u_k(t). % % Function x(t) is operated on by this operator L, ...
function outlist = permutations(repeats,amount) numbers = 1:4; total_permutations = perms(numbers); list = zeros(1,8); for i = numbers end_in_i = total_permutations(total_permutations(:,end) == i,:); remaining = numbers(numbers~=i); for j = remaining for k = 1:length(end_in_i(:,1)) start...
function [fileseries, filenames] = retrieve_files(session, run,type,subjects) % Goes into the timeseries file and retrievesthe timeseries txt files into % numeric matrices. %INPUT: % session: put in '1','2', or '*' (to choose sessions 1,2, or both) % run: put in '1','2','3', some cell combo, or '*'. To pi...
% This script aims at demonstrating the efficiency of the method clc clear close all % Parameters path = 'Img/'; image = imread(strcat(path,'Diving.jpg')); image = im2double(image); figure imshow(image) % Running the MSRCR algorithm sigmas = [15,80,250]; s1 = 2; s2 = 2; resulting_image = MSRCR(image,sigmas,s1,s2); fi...
function [surface, surfaceCoordinates] = getSurfaceForMember(memberBoundingBox, zGrid, splintLineX, splintLineY) memberXMin = memberBoundingBox(1); memberXMax = memberBoundingBox(2); memberYMin = memberBoundingBox(3); memberYMax = memberBoundingBox(4); coverCells = cell(size(zGrid, 1), size(zGrid, 2...
%% Stelling 9 % % De diff() functie differientieert de aangeboden vector. % Antwoord = 0;
function g = gpdmdyngradientTheta(params, X, seg, priorModel, Xin, Xout) ndp = 0; if (priorModel(3) == 0) ndp = 4; elseif (priorModel(3) == 1) ndp = 3; elseif (priorModel(3) == 2) ndp = 2; elseif (priorModel(3) == 3) ndp = 6; elseif (priorModel(3) == 4) ndp = 3; elseif (priorModel(3) == 5) ndp = 4; end ...
function clearRecord() global recX recY recZ recRoll recPitch recYaw recF; %UNTITLED Summary of this function goes here % Detailed explanation goes here recX=[]; recY=[]; recZ=[]; recRoll=[]; recPitch=[]; recYaw=[]; recF=[]; recExist=[]; end
function sel = selectgroups(varargin) % function sel = selectgroups(gp1,gp2,gp3...) % or selectgroups(groups) % % Selects unique combinations of different groups using a GUI. gp1 etc are % variables that have the same size. selectgroups attempts to extract the % name of the group from the variable name, b...
function ansfi=fi(T,P,comp,K,y,z,n) R=8.314; b=.07779*R*comp.Tc./comp.Pc; bm=sum(b.*y); a=.45724.*(1+(.37464+1.54226*comp.w-.26992*comp.w.^2).*(1-(T./comp.Tc).^.5)).^2.*R^2.*comp.Tc.^2./comp.Pc; am=0; for i=1:size(y,2) for j=1:size(y,2) am=am+(a(j)*a(i))^.5*y(j)*y(i)*(1-K(i,j)); end end B=bm*P/R/T; q=am...
function movie_population_ana % SOM later population animalids = {'150401','150527','150529','150602','150603','150623','150625','150825','150831','150902','150909', '150915', '150916', '150916', '151022', '151023', '151109', '151110', '151209', '151221','160718','160721','160725','160726','160726','160728','160728','...
function [] = writeprmold(i,vsurfadd) global caseid time_interval % write prm file for SAM with updated caseid A = regexp(fileread('DRY/prm'),'\n','split'); A{3}=[' caseid =''CRM_test_59h_' caseid '_' num2str(i) ''',']; switch i case 0 A{5}=[' nrestart = 0,']; A{8}=[' nrestart_skip = 35,']; ...
function [BMS] = PXP_random_plot_v1( bicE, title_tag ) % minus has to be added! [BMS.alpha( 1, :), BMS.exp_r( 1, :), BMS.xp( 1, :), BMS.pxp( 1, :), BMS.bor( 1, :)] = spm_BMS( bicE ); ex1 = BMS.pxp( 1, :); nn = size( ex1, 2); ex1_rev = zeros(1,nn); for ii = 1:nn; ex1_rev(1,ii) = ex1(1,nn+1-ii); end figure...
clear close all clc root_path = '/mnt/disk/yongxu_liu/datasets/WELL_Set_run/run/data/'; load([root_path, 'dataset.info.mat']); % the info data for WELL-Set % for st-RRED_opt addpath(genpath('matlabPyrTools')) addpath(genpath('functions')) % model = 'vmaf_v0.6.1.pkl'; if ~exist('tmp_path', 'dir') mk...
# TP NUMERO 1 -- PEAJES -- Puntos A, B y C # PUNTO A: load data data = load('dataset/FlujoVehicular2019.dat'); # mapeo nombres - columnas del dataset mes = 1; diames = 2; hora = 3; diasemana = 4; estacion = 5; sentido = 6; tipovehiculo = 7; formapago = 8; cantidadpasos = 9; # PUNTO B: Balances...
function [ z,P ] = noise_gen_URA( r ) %UNTITLED4 此处显示有关此函数的摘要 % 此处显示详细说明 %% Initialization fs = 16000; % Sample frequency NFFT = 512; % Number of frequency bins (for analysis) w = 2*pi*fs*(0:NFFT/2)/NFFT; c = 340; % Speed of sound L = 2^18; ...
%% Identifying Monetary Shocks % Xiao Xu, xx2251, Macro PS3, Prof. Mertens clear all; clc; filename = 'CEE1999data.xls'; data = xlsread(filename); dates = data(:,end,1); T = length(dates); y = data(:,2); % Output p = data(:,3); % implicit price deflator pc = data(:,4); % change in CPI rff = data(:,5); % effective ...
clc; clear; close all; % INPUT x = [0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20]; f = [0 0.1 0.5 1 1.5 3 2.5 1.5 1 0.7 0.9 1.2 1.8 2 1.9 1.6 1.3 1 0.9 0.8 0.7]; n = length(x); fp0 = 0.1; fpn = -0.1; % Calculate h h = []; for i=1:n-1 h(i) = x(i+1)-x(i); end % Constructs A matrix for simultaneous...
[x y z] = size(image) for i=1:x if image(i+1,1,1) ~= image(i,1,1) i break; end end
%% Problem 4 clear all % load data load HW84.dat xdat = HW84(:,1); ydat = HW84(:,2); ft = fittype( 'a*exp(-b*x)*cos(c*x)', 'independent', 'x', 'dependent', 'y' ); opts = fitoptions( 'Method', 'NonlinearLeastSquares' ); opts.Display = 'Off'; opts.Lower = [5 -Inf -Inf -Inf]; opts.StartPoint = [10 0.808157185957016 0.619...
function q = inverse_kuka(H, myrobot) d = myrobot.d; a = myrobot.a; % wrist position end_effector_to_wrist = eye(4); end_effector_to_wrist(1,4) = -a(6); end_effector_to_wrist(3,4) = -d(6); H_wrist = H*end_effector_to_wrist; x = H_wrist(1,4); y = H_wrist(2,4); z ...
function [errorCode, errorMsg,token] = Login(connection,operator,password) import com.hundsun.esb.* com.hundsun.esb.data.*; [errorCode, errorMsg, packet] = CallService(connection,MakeRequestPacket(operator,password)); PrintPacket(packet); if errorCode >= 0 token = GetToken(packet); end ...
function GauseSeidel(A, b, n) aug=[A, b]; h = 0.1e-5; isConsistance = 0; ref = zeros(1:n); initialMatrix = zeros(1:n); while (isConsistance == 0) for i=1:n solution(i) = aug(i, n+1); for j=1:n if(i~=j) solution(i) = solution(i)-( aug(i,j)*initialMat...
function [cluster_relation,cr] = data_cluster_plot(H,folder,method) %get likehoods of cell belonging to clusters H_new = H./sum(H,2); cluster_relation = H_new'*H_new; cr = cluster_relation; %ignore small value cr(cr==min(min(cr)))=0; if size(H,2)>3 cr(cr==min(min(cr(cr~=0))))=0; end figure; G = graph(cr,'OmitSel...
function P = CompProbDirichlet(Htest, Htrain,prior) % log probability using the dirichlet distribution % It becomes the multinomial distribution when prior =0 % H has to be coloumn vectors. index = Htrain(:) > 0 | Htest(:) > 0; Htrain = Htrain(index); Htest = Htest(index); Hprior = prior*ones(size(Htrain)); Nprior...
function [f,W] = appObjDistribution(s,d,W,Xf,dX,dXID,c,const,alg,pairs,p) nx = size(Xf,1); X = Xf; f = zeros(nx,1); if (strcmp(alg,'pref_only')) % % appggbs for preference only % % calculate areas % f = appDistribution(nx,Xf,d,pairs,p); % % calculate volume ...
function MI = LeoMIfunc(isiv,isix,backward,forward,fps) MI = zeros(1,backward+forward+1); StimuSN = max([isix isiv]); %v in future; x in past for n =1:forward+1 isix2 = isix(n:end); isiv2 = isiv(1:end+1-n); isii2 = StimuSN*(isix2-1) + isiv2; for k = unique(isix2) for j =unique(isiv2) ...
clc; clear; alpha= 0; Kp=17000; Kd=50; Ki=.1; Ke=1; sim('DNS_Final_Project') % Car Animation Script % This Matlab script is used in conjunction with your Simulink model to % produce an animation of the half-car body as it travels down the road % profile defined in the EE324, Spring 2009 project description. % % The scr...
function P_RX = signal_strength(E_tot) %SIGNAL_STRENGTH Summary of this function goes here % Detailed explanation goes here global h_e Ra; P_RX_tmp = 0; for i=1:+1:size(E_tot,1) P_RX_tmp = P_RX_tmp + abs(h_e*E_tot(i))^2; end P_RX_watt = P_RX_tmp*1/(8*Ra); %Sort...
clear; p1 =[ 3966260.66380431 1046450.2725837 4869538.70235858]; p2=[3918048.64958489 1137556.84865841 4888102.71941542]; p1g=cart2geod(p1); p2g=cart2geod(p2); dist0=norm(p1-p2); res=[]; for d=1:14 for h=0:23 cdate=[199...
function [newTracklets, trackletIndices] = mergeTracklets( tracklets, assignments ) % [T,~,N] = size(tracklets); % newAssignment = assignment; % newTracklets = zeros(size(tracklets)); % counter = 1; % for n=1:N % indexOne = n; % indexTwo = newAssignment(n); % if (indexTwo > N) % newTracklet...
function [sample,samplestr]=getsample(mode) % GETSAMPLE return sampling points for for monaural % and interaural optimization. % [sample,samplestr]=getsample(mode) % mode=='m' returns samples for the % optimization of the monaural transfer- % function while mode==...
% In the name of God clear ;close all; clc Td=.01; t=800;% simulation time tp=200; %% main system diagram ---------------------------------------------------- %% DC Motor Parameter for Sliding Mode Controller J=6.87*1e-5; nu=1.041*1e-3; k=.21; lambda=-100000; b=k/J; Gamma=119.7*1e-3; %% DC Motor Tr...
function varargout = utstats(option,fig,varargin) %UTSTATS Utilities for statistics tools. % VARARGOUT = UTSTATS(OPTION,FIG,VARARGIN) % M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi 04-May-98. % Last Revision 08-May-2012. % Copyright 1995-2012 The MathWorks, Inc. % $Revision: 1.4.4.7 $ $Date: 2012/06/03 06...
function SVR_Permutation(Data_Path, Score, Real_Prediction_Path, Perm_times_Range, ResultantFolder) for i = Perm_times_Range i Rand_Index = randperm(length(Score)); Rand_Score = Score(Rand_Index); ResultantFolder_Sub{i} = [ResultantFolder filesep 'time_' num2str(i)]; mkdir(ResultantFolder_Sub{i});...
function qOUTn = aggradeChannel(obj) %aggradeChannel runs the numerical scheme for the one-dimensional diffusion %equation % Also add floodplain sedimentation in a different function or % change the function name to domainSedimentation? % obj: an AvulsionModel object % % qOUTn: a value representing the sediment ...
% FactorGraphChild is the base class for Dimple model elements that are % children of a FactorGraph but aren't necessarily nodes. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Copyright 2015 Analog Devices, Inc. % % Licensed under the Apache License, Version 2.0 (the "License")...
%% % Ex 2.19 Problem statement % Plot the variations of the natural frequency and the time period with % static deflection of an undamped system using MATLAB. % Code modified from Mechanical Vibrations - S.S. Rao clc close all clear g = 9.81; %m/s^2 for i = 1: 101 ...
%% Bayes Factor % This is a Matlab class to run Bayes Factor analysis. % The code was written by Bart Krekelberg (bart@vision.rutgers.edu) with some code % taken from Sam Schwarzkopf's code and with inspiration from the R package % by Richard Morey. % % Currently the following statistical tests have been implemented ...
function[infect,deaths,days] = Parse_Data(num,txt) dates = txt(:,1); dates(1) = []; %initial conditions CCC = 2; %cummulative confirmed cases column number CCD = 3; %CCD = cummulative confirmed deaths column number [rows,columns] = size(num); SIR = zeros(rows,3); j = 1; offset = 0; for i = rows:-1:1 ...
%设置取样点lambda(i)。并将lambda和频率扩展为二维矩阵, %使不同行频率不同,同一行频率相同;不同列lambda不同,同一列lambda相同。 % lambda: 行向量; % freq:行向量; function [lmd_array,fre_array] = Array_trans(lambda, freq) if (size(lambda,1)>1) &&(size(lambda,2)>1) error('input lambda is not a vector'); % 输入非向量则报错 else if (size(lambda,2)==1) %% 如果输入为列向量,转化为行向...
%% --------------------------- Missile Parameters ------------------------- % clc; clear all; close all; set(0,'defaultfigurecolor',[1 1 1]); global rho_v rho_v_max tF M_d T_m rho_w Vc tau N K K_dth dt tout resolution %% ---------------------- Initialize Simulation --------------------- % MP = 1; NMP = -1; Dyn_sg...
function Anew = diagonalize( Aold) %DIAGONALIZE Summary of this function goes here % Detailed explanation goes here sz = size(Aold) ; Anew = zeros(sz(1),sz(2)) ; ndim = sz(2) ; for k = 1:ndim Anew(k,k) = Aold(k,k) ; end end
%Implemenation of the Continuous-discrete Poisson multi-Bernoulli mixture %(CD-PMBM) filter described in %A. F. García-Fernández, S. Maskell, "Continuous-discrete multiple target filtering: PMBM, PHD and CPHD ?lter implementations," IEEE Transactions on Signal Processing, vol. 68, pp. 1300-1314, 2020. % Open access ve...
% Examplescript for usage of omcompile, omrun, omparameter, omimport % and omcleanup % For more help, look into the help of the functions and the functions % themselves. E.g. it's important to adapt the path to omc.exe in % omcompile.m. You could maybe improve performance by changing some value in omimport.m % % ...
function scores = leverage_score(W, k) % compute the leverage scores of a matrix relative to the best % rank-k approximation of A. It is equal to its squared Euclidean % norms of the rows of the k-svd of A % A needs to symmetric positive semi definite (?) % Revisiting the Nystr¨om Method for Improved Large-scale Mach...
clear all, clc, close all % Improvements to consider: % noise to training data % reduce eta on iterations trainingSet = 'data_batch_1.mat'; validationSet = 'data_batch_2.mat'; testSet = 'test_batch.mat'; [Xtrain, Ytrain, ytrain] = LoadBatch(trainingSet); [Xval, Yval, yval] = LoadBatch(validationSet); [Xtest, Ytest, y...
function b = t2b(t,rank) n = size(t,1); if nargin < 2 W = WDF2(t); else W = WDF2_rank(t,rank); end temp = reshape(W,n^2,n^2); temp = sum(temp,1); temp = temp'; b = reshape(temp,n,n);
function updatepath(ADVISORRootDir,SupportDir) % this function can be used to automate the process of updating the % Matlab path to work with ADVISOR. ADVISORRootDir is the path location of % ADVISOR relative to the current working directory and SupportDir is the % path location of a supporting directory relative to...
imOrig = imread('canoe.jpg'); imshow (imOrig, []); [x1,y1] = ginput(1); [x2,y2] = ginput(1); window1 = imOrig(y1-3:y1+3, x1-3:x1+3,:); window2 = imOrig(y2-3:y2+3, x2-3:x2+3,:); X1 = double(reshape(window1, 49, 3))'; X2 = double(reshape(window2, 49, 3))'; %task3 C1=cov(X1'); C2=cov(X2'); u1=mean(X1,2); u2=mean(X2,2); ...
function y_out = cirmodel(x,T1,T2,Lmarket,Smarket,swaptime) %here x is vector input, %x(1) = phi %x(2) = k %x(3) = sigma (volatility) %x(4) = r0(present interest rate) %T1 = [1 7 30 60 90 180]; %in days %T1 = T1/360; %Lmarket = [0.0300 0.0302 0.0307 0.0314 0.0320 0.0335];%,market libor rate %B = (1 - exp(-x(2)* taut...
function res = manny() % find the velocity that _just_ gets the ball over the wall initial_guess = 45; % m/s velocity = fzero(@crossover_func, initial_guess); res = velocity; end function res = crossover_func(velocity) % this function crosses through zero when the height of the ball at ...
% // TI File $Revision: /main/3 $ % // Checkin $Date: November 1, 2010 13:05:07 $ % // ===================================================================================== % // This software is licensed for use with Texas Instruments C28x % // family DSCs. This license was provided to you prior to installing % //...
function behaviorData = behaviorData(varargin) %BEHAVIORDATA UI for selecting behavior data from a block % % behaviorData = cpl.BEHAVIORDATA('NAME',value,...); % % -------- % INPUTS % -------- % varargin : (Optional) 'NAME', value input argument pairs. % % -------- % OUTPUT % -------- % behaviorData ...
%%get an array of records out function [myArray]=getArray(MeasuredData, groupN, numRecords,wordlength) clear prefix; clear Array; k=0; myArray=zeros(wordlength, numRecords,2,'double'); prefix=2*numRecords*(groupN-1)+groupN+1; for n=1:(numRecords*2) if mod(n,2)==1 k=k+1; ...
%% ======================= real pair coherence========================== load('C:\Users\SMukherjee\Desktop\projects\dual_eeg_eng\data\dual_eng\mat\coherence\matlab.mat', 'postlisten'); load('C:\Users\SMukherjee\Desktop\projects\dual_eeg_eng\data\dual_eng\mat\coherence\surrogate_trial.mat','index_comb'); load(['C:\Users...
function [A1] = append(E1, points, a, b) % Append experimental flowtest data at hourly intervals [x,y] = size(E1); tail_data = (x + points); A1 = zeros(tail_data,2); % A1(:,1) = hrs after injection % A1(:,2) = conc. for n = 1:119790; A1(n,1) = E1(n,3); A1(n,2) = E1(n,2); end for q...
% function vecangleD % % ang = vecangleD(vec1,vec2) % % where: ang is the angle between the two vectors vec1 and vec2 % vec1 and vec2 are vectors: [x y z] % % Author: Frederic Rudawski % Date: 20.10.2020 function ang = vecangleD(v1,v2) % nomalize vectors v1 = v1./norm(v1); v2 = v2./norm(v2)...
% Description: % This function checks the number of images in the folder, and return the % top n images (n: number of images per stack). The returned % images will be moved to another folder, named "finished" and thus, this % fuction can follow a "first-in-first-out scheme" to constantly deliver % images for blending....