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function [critical_shear_velocity,taocr,S] = shieldsmodbonlay(rhom,diam,rho,viscocine) % _______________________________________________________________ % This routine gets the critical shear velocity and critical bottom shear stress for initiation of motion. % % 0. Syntax: % [critical_shear_velocity,taocr] = shie...
function y=gety(x) global xmean xsd covx=xsd./xmean; for i=1:length(x) kexi=sqrt(log(1+covx(i)^2)) ; lamda=log(xmean(i))-0.5*kexi^2; y(i)=(log(x(i))-lamda)/kexi; end
%bacic fct.m N=20; mtime=[0:N-1]; impuls = eye(1,N); %unit pulse untstep=ones(1,N); %unit step f0=.1; fsin=sin(2*pi*f0*mtime) %senosoidal P=3; tps2=[-N:N]; %2P+1 sample rect porteP = [zeros(1, N-P) ones(1,2*P+1) zeros(1,N-P)] ; subplot(221); plot(mtime,impuls, 'x') subplot(222); plot(mtime,untstep, '...
function [ t_s, ux_mps, uy_mps, r_radps, s_m, e_m, delta_psi_rad, Fx_total, delta_steer ] = proj_nonlinear_sim(C_alphaf, C_alphar, u_f,... u_fs, u_r, u_rs, m,Iz, L, s, k, percent_front, percent_rear,... Kla, xla, k_vel, e0, ux0, vx_prof, ax_prof, k_accel, f_rr, C_DA) %UNTITLED Summary of this function goes here...
function [ analysis ] = inspect_experience(varargin) startstep = 150; data = load('../kesh/experiments/all.mat','xids'); kwargs = utils.dict(varargin{:}); xids = kwargs.get('xids',2); for x=xids for g=1:2 varrs1a1 = []; varrs1a2 = []; avgvrs1a1 = []; avgvrs1a2 = []; errvrs1a1 = []; ...
function e=caughtSpeeding(speed, birthday) % Returns 0 for no ticket, 1 for small ticket and 2 for big ticket % Taha Bakhtiyar 5/2011. if (birthday == true) speed = speed - 5; end if (speed<=60) e=0; elseif (speed>60 && speed<=80) e=1; else e=2; end end
function [d,CF] = solve_linear_system(H,mu,A,b,c,tau,kappa,r1,r2,r3,r4,r5,pars) %Calls the C code that solves the linear system %Debug flag print_t = false; print_c = true; %Get the size of the problem [m,n] = size(A); %Set up the pointers to call the solver %int solve_kkt_system_no_structs...
%% Drawdown in the well. % This demonstrates the interpretation of a Drawdown in the well % with well-bore storage effect with Papadopulos and Cooper (1967) solution % % MIT License % Copyright (c) 2017 Philippe Renard - University of Neuchâtel (CHYN) %% % The data set for this example comes from the following refer...
function str= char(epb) % CHAR Convert an embededprogressbar object in a char for display str = [ epb.String, ... ' ',num2str(fix(epb.Value*100)),'% done.',... ]; end % main function
clear all close all % initialize rosshutdown % to 'close' any previous sessions rosinit('172.16.144.132'); % initialize Matlab ROS node tbot = turtlebot % the data structure that allows access to the turtlebot and its sensors % these are the variables that are used to define the robot velocity lin_vel...
function filepath = searchFor(query, searchPath, k, maxLevels) %SEARCHFOR Searches for a specified file within a directory recursively. % Usage: % filepath = searchFor(query) % filepath = searchFor(query, searchPath) % filepath = searchFor(query, searchPath, k) % filepath = searchFor(query, searchPath, k,...
%% % This is an example of how to create an line plot from a function in MATLAB&#174;. % % Read about the <http://www.mathworks.com/help/matlab/ref/ezplot.html |ezplot|> function in the MATLAB documentation. % % For more examples, go to <http://www.mathworks.com/discovery/gallery.html MATLAB Plot Gallery> % % Copyrigh...
function [xl,xu,fxl,fxu,xr,fxr,ea,noOfIterations] = falsePosition (f,Xl,Xu,es,maxIterations) F= inline(f,'x'); xl(1)=Xl; xu(1)=Xu; if F(xl(1))*F(xu(1))>0 xr(1)=0;ea(1)=100;noOfIterations=0; warning('Please check your range reason: F(Xl)*F(Xu)>0'); return end for i=1:1:maxIterations xr(i) = (xl...
seg_p = []; for i = 1 : size(seg,1) seg_p(i) = seg(i).p; end indx = roulette(seg_p); sprintf('moving to the segment %d to search',indx); squirrel1.move2Seg(indx(1),1000);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Copyright 2012 Analog Devices, Inc. % % Licensed under the Apache License, Version 2.0 (the "License"); % you may not use this file except in compliance with the License. % You may obtain a copy of the License at % % http:/...
function [dat,gabortex] = stimulus_setup(dat,w) % % define features of experimental stimulus % SCREEN %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% dat.scr.cm2pix = dat.scr.widthPix/dat.scr.widthCm; % conversion for cm to pixels dat.scr.pix2deg = 2*ata...
function n = apply(z,S,Q,param,arrayType) %NETPROD.APPLY Combined weighted inputs into net input % Copyright 2012-2015 The MathWorks, Inc. if isempty(z) % No inputs if (nargin < 5) arrayType = 0; end n = ones(S,Q,'like',arrayType); else % Combine inputs n = z{1}; for i=2:lengt...
%% Load file root_path = 'C:\Users\Virginia Casasnovas\Documents\Virginia\Data\MINISCOPES\HeadFreeTreadmillMiniscope\'; addpath(genpath(root_path)); raw_folder = 'TM RAW FILES'; tracking_folder = 'TM TRACKING FILES'; processed_folder = 'TM PROCESSED FILES'; registered_folder = 'TM PROCESSED IMAGING FILES'; segme...
t = [1 2 2 2 2 3 7 10 20 30 30]; median(t) n=hist(t,1:50); n_elements = histc(t,1:50); c_elements = cumsum(n_elements); bar(1:50,c_elements); ta = sum(c_elements); cum = c_elements(1); for a=2:50 if cum>ta/2 zn = a; break; end cum = cum+c_elements(a); end c_elements(zn)
%% Generate the data.mat with open price @0945 % replace open price by 09:45 price NUVpath='C:\Users\Langyu\Desktop\Dropbox\GU\1.Investment\Data\NewUniverse\'; Intradaypath='C:\Users\Langyu\Desktop\Dropbox\GU\1.Investment\Data\EODData\MatlabFormat\15mins\'; load(strcat(NUVpath, 'NUV.mat')); load(strcat(Intradaypath, ...
function [Q,Uf_0] = NLForceNewtonRaphson(Pf,Bi,Bx,M,C,Uflast3,dt,Qx) % calcualte the element forces to minimize the difference between Bx'*V % % written by T.Y. Yang 2009/08/23 % extract the displacement history U_1 = Uflast3(:,end); U_2 = Uflast3(:,end-1); U_3 = Uflast3(:,end-2); tol = 1e-10; residual = 1...
function [err] = lin_conv_2D(SBP,dx,eqntyp,spd_a,form,tf) close all % Input arguments if nargin<1 SBP.p = 3; SBP.type = 'omega'; % SBP operator info end if nargin<2 dx = 1/12; % Mesh spacing end if nargin<3 eqntyp = 'const_lin_conv'; % Problem to solve end if nargin<4...
%% A trial % Must under the initiliaztion of {run.m} %% Set the priority Priority(top_priority_level); %% Initilize getters % position_id (1 for green at left and 2 for orange at left); pos_id = condition_seq(1, i_trial); % Bonus bonus_green = condition_seq(2, i_trial); bonus_orange = condition_seq(3, i_trial); %...
% Parameter Estimation and Inverse Problems, 3rd edition, 2018 % by R. Aster, B. Borchers, C. Thurber % z=phi(x) % % Calculates the normal distribution and returns the value of the % integral % % z=int((1/sqrt(2*pi))*exp(-t^2/2),t=-infinity..x) % % Input Parameters: % x - endpoint of integration (scalar) % % Ou...
function [J grad] = nnCostFunction(nn_params, ... input_layer_size, ... hidden_layer_size, ... num_labels, ... X, y, lambda) Theta1 = reshape(nn_params(1:hidden_layer_size * (input_layer_size + 1)), ... hidden_layer_size, (input_layer_size + 1)); Theta2 = reshape(nn_params((1 + (hidden_layer_size *...
close all, clc, clear all; Num_in = 128; p_vec = [1:Num_in]; U = 64; n = [10;50;100]; p_discrete = [8,16,32,64,128]; C_fp = 6 .* n * p_vec; C_fp_discrete = 6 .* n * p_discrete; C_fp_SISO = 2.*n *(p_vec.^2 + 2); for i = 1:3 L_fp(i,:) = C_fp_discrete(i,:) .* 1./[185 139.63 110 76 46]; end L_fp_SISO = C_fp_SISO ./ 4000; ...
function fnval = fhn_fun(times,y,p,more) r = y; r(:,1) = p(3).*(y(:,1) - (y(:,1).^3)./3 + y(:,2)); r(:,2) = -(y(:,1) - p(1) + p(2).*y(:,2))./p(3); fnval = r; end
function [new_alleles recombination error] = reassign_segments(assignment, family, parameters) error = 0; new_alleles = []; recombination = []; [alleles_all, intervals, error] = check_allsegments(assignment, family); if( error ~= 0 ) disp('error in processing global IBD'); return; end disp(['family ', num2st...
%%%Random Weight Matrix (asymmetric & symmetric) %%%In this version, patterns are established in accordance to pictures. clear, clc pict xd = [p11; p22]; [ndistorts, units] = size(xd); %%%Learn w = normrnd(0 ,1 ,units, units); %w = 0.5 * ( w + w' ); %[Change]Make the weight matrix symmetric ed_ini = ...
clear clc addpath(genpath('./tensor_toolbox')); addpath(genpath('./FOptM')); rng(5489, 'twister'); m = 6; n = 5; k = 4; % rank for tensor %% m = 10; n = 10; k = 10; % rank for tensor [X, Z, Y] = tBNE_data(m, n, k); % generate the tensor, guidance and label [T, W] = tBNE_fun(X, Z, Y, k); [~, y1] = max(Y, [], 2); [~...
classdef CocoEval < handle % Interface for evaluating detection on the Microsoft COCO dataset. % % The usage for CocoEval is as follows: % cocoGt=..., cocoDt=... % load dataset and results % E = CocoEval(cocoGt,cocoDt); % initialize CocoEval object % E.params.recThresholds =...
fname = []; fname = fcheckexist(fname,'*.dat'); csvfile = fcheckext(fname,'csv'); [expinfo,chaninfo,mLog] = readcsv(csvfile); Nsamples = chaninfo(1,6); Fsample = chaninfo(1,5); Ntrial = ...
function v=getgame(hd,n); % GETGAME computes a game from the unanimity coordinates hd % % Usage: v=getgame(hd,n) % Define variables: % output: % v -- A TU game of size 2^n-1. % input: % hd -- The harsanyi dividends. % n -- The number of player involved (optional) % % % Author: Holge...
function g = gravity_acceleration (phi, p) % % function g = gravity_acceleration (phi, p) % ACHTUNG phi is in radians % if (nargin == 1) p = 0; end sin_phi = sin (phi); sin2_phi = sin_phi .* sin_phi; pg = [2.3462e-5, 5.278895e-3, 1]; g = 9.7803185 * polyval (pg, sin2_phi) + 1.092e-6 * p;
%生成【integration of shape from shading and stereo】的傅里叶频率域 function [freq] = frequency(S,fl) freq = zeros(1, S); for i = 1: S/2 freq(i) = -0.5 + i/(S * fl); freq(i + S/2) = i/(S * fl); end
clear clc LUnit = 6378; % 单位 km deg = pi/180; mu = 398600; theta0 = 160*deg; %约束可观测的真近角范围 thetaf = 205*deg; % 初始轨道参数(经典轨道根数坐标系下) hp0 = 300; ha0 = 42000; a00 = (ha0+hp0)/2+LUnit; e00 = (ha0+LUnit)/a00-1; inc00 = 51*deg; omega00 = 11*deg; w00 = 225*deg; theta00 = theta0; coe0...
%helper function for constructing a decision tree recursively function [ new_tree, new_slot ] = DT_recursive2(X, Y, feat_idx, tree, slot, c) %DT_RECURSIVE A recursive decision tree algorithm % This function calculates the sub tree of the whole decision tree rooted % at the current splitting node % X Txd the trai...
%% tinyWorld Demo % Demonstration for tinyWorld Neuroevolution system. % Features: clear; clc x = NeuroEvolution; % ------- Saving/Visualization Variables ------- x.saveFile = 'tinyWorld'; x.visualize = 'no'; subPop = 'yes'; subPopProp = 0.95; % changing this value to 0.80 generated a non-string error on one o...
%# data % t = linspace(0,8*pi,200); % x = 20*t; y = cos(t); z = sin(t); % % %# plot 3D line % plot3(x,y,z) % axis tight, grid on, view(35,40) % c = 1:numel(t); %# colors % h = surface([x(:), x(:)], [y(:), y(:)], [z(:), z(:)], ... % [c(:), c(:)], 'EdgeColor','flat', 'FaceColor','none'); % colormap( j...
function [gam,Final_E] = DynamicProgrammingQ_1(h1_SO,h1_R,h2_SO,h2_R,Rot1,Trans1,Rot2,Trans2) N = size(h1_R,2); M = size(h2_R,2); Nbrs = [1 1; 1 2; 2 1; 2 3; 3 2; 1 3; 3 1; 1 4; 3 4; 4 3; 4 1; 1 5; 2 5; 3 5; 4 5; 5 4; 5 3; 5 2; 5 1; 1 6; 5 6; 6 5; 6 1]; % 1 7;2 7;3 7;4 7;5 7;6 7;7 6;7 5;7 4;7 3;7 2;7 1;1 ...
%@(#) cprmod.m 1.4 05/12/08 13:18:31 % % %function [CPRMOD,straff]=cprmod(indatafil); % % Input: Indata file which contains specification of buntyp- % characteristics wrt mean and stand.dev. of box bowing and % an EOFP-distr.file with appropriate burnup levels. % % Output1: Vectors with CPRMOD and ...
function plot_settings(fig) %% Set default sizes for plotting, so that all plots are consistent. % :param fig: The current figure % :return: none % % Created by: Lee A. Harrison % On: 6/19/2018 % % Copyright (C) 2019 Artech House (artech@artechhouse.com) % This file is part of Introduction to Radar Using Python and MAT...
%M: Measurement vectors. It must be a column vector. %P: Stations coordinates. It must be a matrix of [numstations x 3]. %xg: Guess point. It must be a row vector. %lambda2: Tikhonov regularization parameter function [xg xgg xggr errorr jt sig1 sig2 sig3]=taylorTDOA_2D_23022011(M,P,xg,NC,ref_station) jt=0; erro...
% measuring time for stochastic method clear all; close all; clc; load('~/Dropbox/Bachelor_Project_Hanieh_Soleimani/covariance/') ; matrices = { 'covMatrix_51_2_4.mat' ; 'covMatrix_51_3_5.mat' ; 'covMatrix_51_3_3.mat' ; 'covMatrix_51_4_5.mat' ; 'covMatrix_51_3_4.mat' ; 'covMatrix_81_2_...
function y = init_cost_no(n,d) %% n: new sequence --> column vector, d: is delays due to breakdown global start_schedule new_schedule = constructingschedule(n,start_schedule); %% constructing schedule for the new sequence. comput = 50; %% Computational cost rate. tard = 12; %% Tardiness cost --> assumed c...
fx = @(x) sin(x)-cos(x); tol = 10^-6; a = 0; b = 1; if (fx(a) * fx(b) > 0) disp("No zero can be determined according to IVT"); return end while (abs(a-b) > tol) c = mean([a, b]); if (fx(c)*fx(a) < 0) b = c; else a = c; end end fprintf('%10.6f\n',c);
function [result] = executeVinay1(data) for i = 1:length(data.Distances()) result(i,1:2) = solver_murphy_1(data.Distances(i,1:3),data.AnchorPositions(1:3,1:2))'; end
#!/usr/bin/octave -qf if (nargin!=3) printf("Usage: multinomial_suavizado_competicion.m <data_filename> <init> <fin>"); exit(1); end arglist=argv(); datafile=arglist{1}; init = str2num(arglist{2}); fin = str2num(arglist{3}); disp("Loading data..."); load(datafile); disp("Data load complete."); #te=testDATA; #test AQUI ...
function h = normIVMRecoveryError(model) global prol3IVMp; %normalize wrt the final point in the control experiment=struct(); experiment.conditions={0,25,25}; experiment.globals=struct('A',100e-6,'J',3e-6,'IVMon',4.6,'IVMoff',10.6); function err=sse(x) setGlobals(experiment.globals); ...
function dzdt = HL_odefile(t,z,parstr) y=parstr.y; k=parstr.k; u=parstr.u; n_Transcripts=4; n_Promoters=8; Y=reshape(y,n_Promoters,n_Transcripts); Y=Y'; IPTG=u(1); aTc=u(2); tetR=z(1); lacI=z(2); cI=z(3); araC=z(4); lacIIPTG=z(5); tetRaTc=z(6); K_Plac1=k(1); K_Plac2=k(2); K_Plac3=k(3); K_Plac4=k(4); K_Plambda=k(5...
function [npcp] = npcp(wav, fs, fftSize, window) % % USAGE % [npcp] = npcp(wav, fs, fftSize, window) % % INPUT % vector of wav samples % fs : sampling frequency % fftSize: size of fft % window: a window of size fftSize % % OUTPUT % normalized pitch class profile N = fftSize; w = window; K = fft...
function [isBackground] = cellIsBackground(spectrum, normalizedBG) % Assumes that both spectrum and normalizedBG are ALREADY NORMALIZED spectrum = squeeze(spectrum); [bgs, ~] = size(normalizedBG); smallestError = Inf; for index = 1:bgs % Attempt simple point-by-point subtraction-summation error = abs(spec...
function [seriesNino, ninoFilt] = calcnino34(Yr,Mth,X,Y,varN) %Calculate Nino 3.4 index using recipe from % https://climatedataguide.ucar.edu/climate-data/nino-sst-indices-nino-12-3-34-4-oni-and-tni % Nino X Index computation: (a) Compute area averaged total SST from Niņo X region; % (b) Compute monthly climatology ...
function varargout = InterfaceI(varargin) % INTERFACEI MATLAB code for InterfaceI.fig % INTERFACEI, by itself, creates a new INTERFACEI or raises the existing % singleton*. % % H = INTERFACEI returns the handle to a new INTERFACEI or the handle to % the existing singleton*. % % INTERFACEI('CALL...
function varargout = circleMesh(circle, varargin) %CIRCLEMESH Create a mesh defined by a 3D circle. % % [V, F] = cylinderMesh(CYL) % Computes vertex coordinates V and face vertex indices F of a mesh % representing a 3D circle given as [xc yc zc R theta phi psi]. % % [V, F] = cylinderMesh(..., NAME, VALUE); % ...
function stats = getStats(ptf, bench, p, ACWI, Index) % getStats computes all statistics on the portfolios. % Inputs: * ptf = [strcut] contains all portfolios % * bench = [strcut] contains all benchmarks % * p = [struct] contains all parameters % * ACWI = [strcut] contains all the data ...
function saveSettings(filename, nB, tau, nA, K, n, tol, algorytm_uczacy, tryb_uczenia) %%funkcja zapisujaca ustawienia pliku sieci.exe do pliku ustawienia.txt fileID = fopen(filename, 'w'); fprintf(fileID, "%d %d %d %d %d %d %d %d", nB, tau, nA, K, n, tol, algorytm_uczacy, tryb_uczenia); fclose(fileID); end...
function kl=klocking(rates) % % Copyright 2007-2015 Cornell University All Rights Reserved. % Initialize rate values kCH1 = rates(1); kH1C = rates(2); kH1H2 = rates(3); kH2H1 = rates(4); kCH2 = rates(5); kH2C = rates(6); kCB=0.05; kCPB=0.05; kH1B=0.05; kH1PB=0.05; kH2B=0.05; kH2PB=0.05; kBC=10; kBH1=10; kBH...
function [ names , onsets , durations ] = SPMnod( DataStruct ) %SPMNOD Build 'names', 'onsets', 'durations' for SPM try %% Preparation % 'names' for SPM switch DataStruct.Task case 'EyelinkCalibration' names = {'EyelinkCalibration'}; case 'Calibration'...
function tagPos = trilat2d_geometrical_method(P1, P2, P3, DistA, DistB, DistC) % P1 = [xA; yA; zA]; % P2 = [xB; yB; zB]; % P3 = [xC; yC; zC]; %% Transformation % from wikipedia https://en.wikipedia.org/wiki/Trilateration % transform to get anchor 1 at origin % transform to get anchor 2...
function plotPoint(x) plot(x(2), x(1), 'r+');
function pred = svmPredict(model, X) % Description: Returns a vector of predictions using a trained SVM model % % Parameters: X - mxn matrix where there each example is a row % % Y - column matrix containing 1 for positive examples % and 0 for negative examples. % m...
%{ Funcao para realizar merge de clusters num individuo. Recebe: individuo (matriz), dados; Retorna: individuo e tempo gasto. Para saber quais clusters serao fundidos, precisa calcular aptidao de cada cluster com seu cluster mais proximo. A melhor fusao sera escolhida. Lista de saida: elemento 1: individuo elemento ...
function [] = sim_two_drugs_effects() %SIM_TWO_DRUGS_EFFECTS simulates the co-dosing of two drugs that act %independently on the cell cycle and apopotosis and calculates the level of %synergy %% DEFINE UNTREATED CELLS %defien cell cycle rates tG1=13; tS=20; tG2=5; tM=4; %calculate transition rates for cell cycle tran...
function x = conjgrad(A, b, tol, maxit, M, dummy, x0) flag = 0; normb = norm(b); tolb = tol*normb; if nargin < 7 x = zeros(length(b), 1); else x = x0; end r = b - A(x); z = M(r); p = z; gamma = r'*z; for i = 1 : maxit Ap = A(p); alpha = gamma /...
%% Hearing aid problem clear, clc, close all T = 1/22.05e3; % sampling time in seconds f = 1e3*[0.1 0.5 1 2 3 4 5 6 7 8 9 10]; % in Hz A = [0 0 0 -10 -12 -17 -22 -29 -34 -39 -47 -50]; % in dB figure, plot(f, A) %%
function flag = check_stable( y1, y2 ) abs_tol = 10^-4; rel_tol = 10^-4; % mode = 'crude'; % % switch mode % case 'precise' % abs_tol = 10^-5; % rel_tol = 10^-5; % case 'crude' % abs_tol = 10^-4; % rel_tol = 10^-4; % case 'more crude' % abs_tol = 10^-3; % re...
function node_number = dwt2_to_graph( tree, D, save_file ) % Save wavelet transform for INLA % Write the coefficients in a wavelet transform along with the % corresponding node in the wavelet tree. % % Syntax: % node = dwt2_to_graph( tree, D, file ) % % Input: % tree : Output from DWT2_TO_TREE % % D : Directi...
% reproduce Adult communities for spiking test, when six phenotypes could % mutate. Modified to use multinomial distribution to draw number of cells % comm_select: Adults to be reproduced % const_struct: a structure to pass constants % parentnum: the rank of the Adult community % spike_frac_M: matrix specify the spi...
function r = getGlobalx global x r = x;
function generate_heatmap_of( target_root, output_root, heatmap_root, method,visulize_heat) %generate_heatmap_of creat a heat map for target set and output set % target_root : directory of all the target images (GT) % output_root : directory of all the output images (generated) % method : the method for compute d...
clear ybar = cell(1,2); dt = [0.001 0.0001]; error = cell(1,2); for i = 1:length(dt) time = 0:dt(i):50; input = u(time); y = out(time,input); ybar{i} = least_squares_parametric(y,3,2,0.4,dt(i),2); end for i = 1:length(dt) time = 0:dt(i):50; input = u_test(time); y = out(time,input); erro...
function [a,b,c] = getABC(p1,p2) % 通过两点确定直线的标准方程a*x+b*y+c=0 % p1,p2 1*2 double 表示点 % 若返回值是矩阵,那么矩阵为1*3 double,表示a,b,c三个值 % 若返回值是三个数,其分别表示a,b,c三个值 % Author A.Star % e-mail : chenxiaolong12315@163.com % 2017-5-30 a = p2(2) - p1(2); b = p1(1) - p2(1); c = -a * p1(1) - b * p1(2); if nargout == 1 a =...
function An = Normalize_Similarity_2(A) % An = D^{-1/2} A D^{-1/2} % where D = diag(sum(A)) d = sum(A); An = bsxfun(@rdivide, bsxfun(@rdivide, A, sqrt(d)+eps), sqrt(d)'+eps);
function [intel] = analysis_HASPI(x, y, varargin) %% DESCRIPTION: % % Wrapper for Jim Kates' intelligibility and quality % index. When written, CWB intended to call this from analysis_Hagerman, % which takes care of a lot of the logistical crap (like file matching, % temporal alignment, etc.). So this isn't a t...
%function [ dfds ] = prob_transf(s,f,lambda_DG,gm) function [ dfds ] = prob_transf_back(s,f,plf_s,plf,lambda_DG ) % This function attempts to solve the change of variable ODE % for a pdf i.e. http://en.wikipedia.org/wiki/ % Probability_density_function#Dependent_ % variables_and_change_of_variables % % i.e given df/ds ...
function img = hack_pca(filename) % Input: filename -- input image file name/path % Output: img -- image without rotation img_r = double(imread(filename)); % YOUR CODE HERE % show original img figure; imshow(uint8(img_r)); % find pixel which is not backgound [img_row, img_col] = find(img_r < 255); % pca [eigve...
function [dt, dim] = getArgDataType(arg) dt = ''; dim = 1; if isfield(arg, 'type') && strcmp(arg.type, 'array access') [dt, dim] = Lus2SLXUtils.getArgDataType(arg.array); elseif isfield(arg, 'datatype') if isstruct(arg.datatype) if isfield(arg.datatype, 'kind') ...
%% ctrldesign % 2021/9/29 Shirato, Miyoshi % 2021/10/11 Sakai: PIDとdistを統合(model2hdrを使う関係で) % % このファイルについて: % identification_chirp.mで同定した結果を使う % 1. 極配置でPID, PD制御器を設計 % 2. 外乱オブザーバに使うローパスフィルタを設計 clear; close all; s = tf('s'); Ts = 1/1000; % Gnominal = トルク指令値[Nm]から位置[rad]までのノミナルモデル % identification_chirp.m の同定結果(注: 速度ま...
function y = decimaltobinary(n) y_1 = []; aux = n; if (n==0) y_1 = [y_1, 0]; else while n >= 1 y_1 = [y_1, mod(n,2)]; n = floor(n / 2); endwhile endif if(aux <= 1) y_1 = [y_1, 0]; y_1 = [y_1, 0]; elseif(aux <= 3) y_1 = [y_1, 0]; endif y = fliplr(y_1); endfunction
% Computer Integrated Surgery, EN.600.445 % Alperen Degirmenci, Saumya Gurbani % % % Driver for Programming Assignment 3 % Required files (listed alphabetically): % % closestPointOnMeshLinear.m - calculates closest point using a simple search % closestPointOnMeshLinearBounding.m - like above, but with a bound...
function [ FEN, centroidList ] = pieceClassification( board, grayBoard ) %#ok<*NODEF> centroidList = []; FEN = cell(8); FEN(:, :) = {'.'}; board = double(board); % Convert to double if not done already. %% Load/setup pawn data. load('data/bPawn.mat') load('data/wPawn.mat') bRedStd = std(bPawn(:, 1)); bGreenStd = std...
classdef control_set_default_nans_test < matlab.unittest.TestCase %INSPECTLAYOUTSTEST Summary of this class goes here % Detailed explanation goes here properties layout end methods(TestMethodSetup) function setFolders(testCase) % Add the relevant folders to the current ...
function [magnitude, orientation] = gradmad(img, sigma) % Create the Gaussian derivatives kernels G_x = gaussianDer(gaussian(sigma), sigma); G_y = G_x'; % We convolve the image id = [zeros(1, 3*floor(sigma)) 1 zeros(1, 3*floor(sigma))]; % Convolve the input image with these kernels; compute the magnitude and % th...
function [y]=delta6j(a,b,c) %this function calculates delta(abc) for the 6j wigner symbol %use gamma function instead of factorial in case of half integers A=gamma(a+b-c+1); B=gamma(a-b+c+1); C=gamma(b+c-a+1); D=gamma(a+b+c+1+1); y=sqrt(A*B*C/D); end
clear all clc %% outline %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % load Mat_en_XP_anntest_cluster3_20.mat ite=10000; re=dat_En_pr; si=out_si_pr_en_new; ind=find(abs(si-re)>0.01); mat_en_stat(:,1)=fun_static_err_v4(dat_En_tr,out_si_pr_en); mat_en_stat(:,2)=fun_static_err_v4(re,si); clf h=...
TorqueAndVelocity=[0.22495656 -2.39808239 0.22495656 -1.774580968 0.22495656 -1.055156251 0.22495656 -0.263789063 0.22495656 0 0.22495656 0.599520597 0.22495656 1.29496449]; PWM=[-300 -200 -100 0 100 200 300]; UpperTorqueConstant = TorqueAndVelocity(1:4,1:2)\PWM(1:4,1) BottomTorqueConstant = TorqueAndVelocity(5:7,1:2...
function [param fval history] = run_SMM_ehail(p0,C_IN,true_mom,S,Q,PI,U,eta,Perm,flag,print_flag,iter) history.param = []; history.fval = []; options = optimset('OutputFcn', @outfun, 'Display', 'iter', 'PlotFcns', @optimplotx, 'MaxIter', iter); N = size(C_IN,1); T = 144; full_S = ...
function x = LU_imp(A,b) % input: % A = macierz % wektor prawej strony v = length(b); [m,n] = size(A); if m ~= n, error('Matrix musi by? kwadratowa'); end U=zeros(m); L=zeros(m); %init for i=1:m L(i,i)=1; end for i=1:m U(1,i)=A(1,i); end for i=2:m for i=1:m for k=1:i-1 s1=0; ...
classdef Probable_Operation < Scheduled_Operation %PROBABLE_OPERATION Klasse aller Geräte mit statistisch verteilten Einsatz % PROBABLE_OPERATION repräsentiert all jene Geräte, deren Einsatz durch % eine statistische Verteilung charakterisiert ist, aber eine konstante % Eingangsleistung während des Betr...
function net = network(varargin) %NETWORK Create a custom neural network. % % <a href="matlab:doc network">network</a> without arguments returns a new neural network with no % inputs, layers or outputs. % % <a href="matlab:doc network">network</a>(numInputs,numLayers,biasConnect,inputConnect,layerConnect, % outputC...
classdef BigramFinder < NGramFinder %BIGRAMFINDER Wrapper for nltk.colloection.BigramCollocationsFinder properties(Access = private) pyBigramFinder end properties(Access = public) D end methods(Access = private) function obj = BigramFinder() ...
[testName,testPath]=uigetfile( ... %вызов диалогового окна для выбора файлов { '*.txt','TXT-files (*.txt)'; ... %изначально показывает файлы в папке с расширением txt '*.*', 'All Files (*.*)'}, ... %можно выбрать показывать все файлы 'Выберите данные, содержащие точки', ... %Заг...
function [f0] = myGetF0FromAcf(acfVector, fs) %% Computes the pitch for a block of audio from the ACF vector % Input: % acfVector: (blockSize x 1) float vector, ACF of a block % fs: float, sampling rate in Hz % Output: % f0: float, fundamental frequency of the block in Hz % check input dimens...
format('long') options=odeset('RelTol',1e-14); istate=[2.0 log(0.0001)]; lensim=[0 10000]; [t,xy]=ode15s(@CA_Forced_QuasiPer,lensim,istate,options);
clear; clc; save_path = '/home/star/datasets/hangzhoujiahe/new_nodeid/'; filesets = {'927', '948', '1074', '00-00-00-00-00-00-00-02-00-00-30-64-00-01-C3'}; sensorsets = {'A相温度', 'A相电流', 'B相温度', 'B相电流', 'C相温度', 'C相电流', '剩余电流', '环境温度' }; for ifile = 1 : length(filesets) data_nodeid = filesets{ifile}; for isensor ...
%% Limpia la memoria de variables clear all close all clc %% Cierra y elimina cualquier objeto de tipo serial if ~isempty(instrfind) fclose(instrfind); delete(instrfind); end %% Creación de un objeto tipo serial arduino = serial('COM5','BaudRate',9600); fopen(arduino); if arduino.status == 'open' disp('...
%MIT License %Copyright (c) 2019 Sherman Lo %CLASS: COMPOUND POISSON EM ALGORITHM %NOTE: cannot be run in parallel as all threads depend on the same rng %Fit the compound Poisson onto simulated data using the EM algorithm %Plots, at each step of EM, the: %log likelihood (marginal, not joint) %lambda estimate %al...
function KeepScaledResidual = setFireSampleToMissing(KeepScaledResidual,KeepFireDetect) KeepScaledResidual(KeepFireDetect==1) = nan;
%% Initialization close all clear all clc %% Records / Protocol cd('E:\DATA\KNO\vsb-baha'); fname = 'Overzicht.xlsx'; [NUM,TXT,RAW] = xlsread(fname); nfiles = size(TXT)-1; % number of files / subjects dnames = TXT(2:nfiles+1,1); % directory names / subjects cond = TXT(1,2:end); % experimental condi...