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clc, clearvars, close all %% 1) Load the file 'voiced_a.wav' and consider only a 300ms frame. % Plot the magnitude of the frequency response of the frame [s,Fs] = audioread('voiced_a.wav'); dur = 0.3; s = s(1:dur*Fs,:); %entrambi i channel L e R, è una matrice % s = sin(2*pi*((1:dur*Fs)-1)*101/Fs); % just a check...
%% Looping all the functions I made to analyze all images and save data rootfolder = pwd; numimg = length(dir(strcat(rootfolder, '\cell masks'))) - 2; cy3_spotStats_files = dir(fullfile(strcat(rootfolder,'\AnalysisJu\SpotStats\cy3'), 'cy3_Pos*_spotStats.mat')); cy5_spotStats_files = dir(fullfile(strcat(rootfolder,'\A...
function DrawLineListOnImageSc(img, linelist, labels) % display image figure, imshow(img, []), hold on; for i=1:size(linelist,2) if(labels(i) == 1) val = linelist(i).prob; if (val > ls_mid) b = (val - ls_mid) / l...
%% SWC between DMN & TPN in BOLD Signals %% CHANGELOG % Written by Josh Grooms on 20140729 %% DEPENDENCIES % SPM % - AAL toolbox % - MarsBar ROI toolbox % % @boldObj % % where % xcorrArr %% NOTES ON ANALYSIS % - Garth & (Chang 2010) both reverse normalized the AAL labeled brain to individual space...
%% Construct Test of Interbank Market % Policy and technology varrho= 0.10 ; % Reserve Requirement barlam= 1.5 ; % Efficiency interbank market eta = 0.2 ; % Bargaining omega = 0.08 ; % Average size of shock - interbank % Policy Parameters imonmu_ss=varrho; i_m_ss =0.02 ; isp_ss =0.01 ; % Vector of Variables...
global MPI_COMM_WORLD; load 'MatMPI/MPI_COMM_WORLD.mat'; MPI_COMM_WORLD.rank = 90; Alluxio_Row_mv_version3;
%% clear workspace clear clc close all %% initialization Init %% load model modelName = 'Model1'; wasModelLoaded = bdIsLoaded(modelName); if ~wasModelLoaded load_system(modelName); end %% set inputs bankingON = 0; slipstreamON = 0; init_vel = 0.01; force1 = 1250; force2 = -700; stepTime = 15; steer = 0; Fx_input_c...
%% Copyright (C) 2014 Hui Chen %% %% This program is free software; you can redistribute it and/or modify it %% under the terms of the GNU General Public License as published by %% the Free Software Foundation; either version 3 of the License, or %% (at your option) any later version. %% %% This program is distribute...
function RunExperimentNatScenes(input,settings,experiment,ExpType); % RunExperimentNatScenes(input,settings,experiment,ExpType); % % Gert Van den Bergh 25/9/2009 % % Function to display Natural scene stimuli TimeDuration = (6*16.666+10*16.666)/1000; %Time = 6 frames 16.7ms image + 10 frames 16.7 off NofCycles = 10; ...
function [layers, Ein] = batch_descent(layers, eta, x_data, y_data) % layers is a multidimensional structure with .w (weights) members % eta is a real number value and is used as the learning rate % x_data is 3xN % y_data is Nx1 num_layers = length(layers); % number of la...
% SeniorProject - MatlabPlotter % Shawn Venti %% Clear environment, read in all files in directory close all clear all filePath = '~/Documents/UNH/Senior/SeniorProject/data/clap/good/'; %filePath = '~/Downloads/'; cd(filePath) files = dir('*.csv'); numFiles = length(files); x = {}; y = {}; z = {}; time = {}; Fs = {...
function v=lorenz_RHS(u,theta); v(1)=theta(1)*(u(2)-u(1)); v(2)=u(1)*(theta(2)-u(3))-u(2); v(3)=u(1)*u(2)-theta(3)*u(3);
function state = PD_load_state_code() state.LFPcue_appear = 100; state.LFPspace_release = 200; state.LFPscreen_press = 300; state.LFPspace_press = 400; end
% % 模型为60类的训练模型--11个view-多multi % % 保存特征到文件夹的版本 % 选择不同层的特征+PCA+进行liblinear实验 % clc clear % run(fullfile('G:\chenjun\ntu_rgbd\dynamic','matconvnet-1.0-beta23\matconvnet-1.0-beta23', 'matlab', 'vl_setupnn.m')) ; imdb = load('exp\ntu_multisubject_view1\imdb.mat') ; opts.train.train = find(imdb.images.sets==1) ; opts...
function [ hfig ] = plot_gamma_tau( pricer , tau ) %PLOT_GAMMA_TAU 画gamma~tau的图 % --------------------- % 沈杰,20160124 % 吴云峰,20160129,增加了不改变原有值的方法 % cg,20160302,修改了默认横轴的值, 加画当前点,略改标题 %% 预处理 % TODO: 相关预处理 % 将旧的变量进行保存 copy = pricer.getCopy(); % 横轴tau默认值 if ~exist( 'tau' , 'var' ) longend = ceil( pricer.tau * 10 ) ...
clear all; home; %% Load the data %dataSetFolder = fullfile(fileparts(which(mfilename)), '..' , '..', 'data', 'set-2', 'roll-and-tilt-at-45-90'); %dataSetFolder = fullfile(fileparts(which(mfilename)), '..' , '..', 'data', 'set-2', 'rotate-ccw-around-x-pointing-forward'); %dataSetFolder = fullfile(fileparts(which(mfile...
% // 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 % //...
clear all %HD recall of reactive behavior %data format - columns for each feature/channel of data %====Features and Label=== %% select = 0 for regular, select = 1 for known condition tracking in training select = 0; % few_all = 0 for the extra bundling vector to be a permuted version of the % xor of 2 features (better...
clear all; close all; %% Warunki początkowe u0 = 0; v0 = 0; y0 = 0; %a1 = 0.3; %|a|<1 %a2 = 0.3; %b0 = 0.1; %b1 = 0.1; c1 = 1; c2 = 1; c3 = 2; g0 = 2; g1 = 1; err = []; %% Zmienne operacyjne N = 1000; %___________________ u = randn(N,1); u2= zeros(N,1); for i=1:1:N u2(i)=u(i)^2; end v = gen(u,c1,c2,c3,g0,g1); %v =...
clear clc %% TEST TYPE (modify here) CameraType = 'SR4K'; % 'SR4K' | 'SENZ3D' WithMovement = 'N'; % 'Y' | 'N' ChangeType = '0NoChange10'; % ['0NoChange1' to '0NoChange10'] % 'S' | 'D' | '1' | '2' | '3' | '4' | '5' % 'SH' | 'SV' | 'Fist' positionScaling = 10; %% GLOBALS (DO NOT MODIF...
clear all; close all; plotdb = 0; nDataSet = 10; Percent = .5; PosPortion = [1,5:5:50]; Sigma = [0.01:0.01:0.2]%[.01:.04:.1,.1:.2:0.9,1,1.1:.2:2,2:.5:4]; MdlDir = '/Users/yueweiyang/Documents/study/duke/independent study/fall 2017/matlab/multiple instance learning/result/mdl/noise0.30/'; AUC_miSVM_t = 0; AUC_SVM_t = ...
function [u, v, p] = advance_in_time(u,v,p,fx,fy,t,dt) % Solves Navier Stokes... % u, v : velocities % p : pressure: used as initial guess for solver % fx, fy : is background force functions % t : current time % dt : time-step % Fixed point iterations. This should probably...
classdef FlangerEffect < handle properties delay; mix = 1; % [0:1] d = 0; end methods % Constructor function o = FlangerEffect() o.delay = ModDelay(0,5); % o.delayL = ModDelay; % o.delayR = ModDelay; end function...
function experiment = TivaroVstmStair %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%% PARAMETERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %usefull for data analysis experiment.identifier = 'T...
function [S_new,index,index2,index3,index_psd,index_n] = remesh_2D(S,P) new_S = S(1:P.index2(1),:); aux = size(new_S,1); i = 1; while i <= aux - 1 dd = sqrt((new_S(i+1,1)-new_S(i,1))^2 + (new_S(i+1,2)-new_S(i,2))^2); if dd < P.low new_S(i+1,:) = []; if i...
%matlap intialization % image=imread('Fish.jpg'); % MAXS=20; % threshold=0; function [output_image,conv_image_1sig,conv_image_5sig,keypoints]=sift(image,MAXS,threshold) %enforcing the image to double + preallocation if array of images image=double(image); image_log =zeros(size(image,1),size(ima...
%for cancer cell %the army energy is counted(the result may be negative) function r=neighbor_t(A,k) ind=find(A>0); sz=size(A); r=zeros(sz); for i=1:length(ind) r(ind(i))=-((A(ind(i)+sz(1))+k-1)*((A(ind(i)+sz(1))<(-k+1)).*(A(ind(i)+sz(1))>-k))+(A(ind(i)-sz(1))+k-1)*((A(ind(i)-sz(1))<(-k+1)).*(A(ind(i)-sz(1))>...
%This function checks to see if the given variable named varName exists in %the .nc file named fName. Assumes fName is in current directory or is a %filepath to the nc file. function exists = nc_variable_exists(fName, varName) %get raw ncdump string [~, ncdump] = system(['/opt/local/bin/ncdump -h ', fName]); %find ...
%% fn_4Dview % Navigation inside 3D, 4D or 5D imaging data. % % This function is quite powerful; unfortunately however some bugs need to % be fixed. % %% Syntax % % fn_4Dview(option1,optionArgs1,...) % varargout = fn_4Dview(action,actionArgs) % fn_4Dview('demo') % %% Description % % Type |fn_4Dview demo| to execut...
function xyz = xyz_data_read ( input_filename, point_num ) %*****************************************************************************80 % %% XYZ_DATA_READ reads data from an XYZ file. % % Discussion: % % The number of points in the file can be determined by calling % XYZ_HEADER_READ first. % % Licensing: % ...
%% get_id_EoL % gets id in Encyclopedia of Life %% function id = get_id_EoL(my_pet, open) % created 2021/08/01 by Bas Kooijman %% Syntax % id = <../get_id_EoL.m *get_id_EoL*>(my_pet, open) %% Description % Gets identifier for Encyclopedia of Life % % Input: % % * my_pet: character string with name of a species % * o...
# -*- octave -*- function [aa,bb]=spec M=40; N=100; dt=0.01; f0=10.1; aa=[]; for i=1:100 [a,f_off]=sim_spec(M,N,dt,f0); bb=a; aa(end+1,:)=mean(mod(diff(a),1)); endfor endfunction function [a,f_off]=sim_spec(M,N,dt,f0) t=[0:M*N-1]*dt; x=exp(i*2*pi * f0*t); x+= randn(size(x)) * 0.1;...
function [centers,radius1]=irisDetection(Im) bw2=edge(Im,'canny',[0.05 0.09],1); %figure;imshow(bw2);title('Canny Edge detection'); rmin=50; rmax=122; [c,r]=imfindcircles(bw2,[rmin rmax],'ObjectPolarity','bright','sensitivity',0.95); if(size(c,1)==2) centers=c(1,1:2); radius1=r(1); else cent...
function parameterOK=VTD_Landscape_Model_Fitting_v3_Constraints(paramvalue,paramnumber) %This function is to check that the parameters take the allowed values. parameterOK=1; if paramnumber==1 %WNT if paramvalue<0 parameterOK=0; end elseif paramnumber == 2 %FGF if paramv...
function Bn = box_splines(n) % Opis: % box_splines izracuna vse skatlaste zlepke tipa 1, za % katere velja i+j+k=n % % Definicija: % Bn = box_splines(n) % % Vhodni podatki: % n stopnja skatlastih zlepkov % % Izhodni podatek: % Bn celica velikost (n-2)*(n-2), skatlasti zlepek % ...
function plsig2000 % % close all fig10 = figure; set(fig10,'Position',[182 150 1131 813]); marker = ['o';'p';'v';'s';'d';'^';'h';'<';'x';'>';'+';'*']; color = [[0.90 0.10 0.10];[0.10 0.90 0.10];[0.10 0.10 0.90];... [0.75 0.25 1.00];[1.00 0.75 0.25];[0.15 0.30 0.70];... [0.10 0.80 0.30];[0.25 0.7...
clear all %% Uses seed maps to assign contiguous variants and vertices to functional networks for each state, in the same vertices in the other state, and in the same vertices across subjects % % This script assigns contiguous variants (and vertices) to functional % networks based on the similarity between the varian...
function stats = ReconstructPosition(positions,spikes,phases,varargin) %ReconstructPosition - Bayesian reconstruction of positions from spike trains. % % Instantaneous positions are reconstructed using a Bayesian algorithm. % Instantaneous population firing rates can be estimated either over fixed time % windows, or o...
%clear all %close all clc %% Load or Create M_2D % specific options opt.m.shape_model = {'psm-real-concat'}; % shared options Shared_Model_Helen %% Create F_2D % specific options opt.n_f = ... % # of mass shape eigenvectors {6, ... 4, ... 3}; opt.n_r = ... % # of local shape eigenvectors {3, 2, 1; ...
function [events_pid nodeTypes ] = aggregatePerProc(proc_events, fields) % aggregate events from multiple sessions on the same processor together. tic fprintf(1, 'aggregate events into pid based and relabel sessions\n'); % group by pid first events_pid = aggregateRows(proc_events, fields, {'pid'}); ...
function out = invfourier(inp) % 1912.12302.B7 global lambda; global beta; lb=lambda; %n=gpuArray(-lb:lb-1); n=-lb:lb-1; out=zeros(1,4*lambda); %out=zeros(1,4*lambda,'gpuArray'); for m=-2*lb:2*lb-1 idx=m+2*lb+1; aa=sum(exp(-(pi.*1i.*m.*(n + 0.5))./lb).*inp(lb+1:3*lb)); out(idx)=aa; end out=out...
function [updated_nOperators112,updated_nOperatorsINEM,updated_Lines112,updated_LinesINEM,updated_FE112,updated_FEINEM,updated_FEINEM112,not_attended,call_idx,transport_line_idx, updated_state_vars]=setup(Operators112,OperatorsINEM, Lines112,LinesINEM,FilaDeEspera112,FilaDeEsperaINEM,FEINEM112,Type, idx, duracao, state...
% world frame is robot base frame clc; clear; close all; dbstop if error; set(0, 'DefaultFigureRenderer', 'opengl'); total_time = tic; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% global icp_dir; global tool_F_T_tcp; global w_T_part; global part_position; global part_orientation; global origina...
% Coding and Minimizing a Fitness Function Using the Genetic Algorithm % https://kr.mathworks.com/help/gads/examples/coding-and-minimizing-a-fitness-function-using-the-genetic-algorithm.html %% GA 1D: Matlab FitnessFunction = @simple_fitness; numberOfVariables = 1; [x,fval] = ga(FitnessFunction,numberOfVariables) %% ...
%Initial weights and bias iW=2; iB=2; %Parameters input=1; target=0; Numepoch=500; learningRate=0.15; %Initialization of variables w=iW; b=iB; epoch=linspace(0,500,500); weight=zeros(1,Numepoch); bias=zeros(1,Numepoch); cost=zeros(1,Numepoch); %Training process using gradient descent for i=1:Numep...
%% read data table clear; fid1 = fopen('921_eq_info_simple.txt'); %data format:code,Int,Dist,Vgal,NSgal,EWgal,Long,Lat c = textscan(fid1,'%s %f %f %f %f %f %f %f'); fclose (fid1); %% 01. plot Taiwan map clear; load Tai_coast fid1 = fopen('921_eq_info_simple.txt'); %data format:code,Int,Dist,Vgal,NSgal,EWgal,Long,L...
%% Feature Selection %-------------------------------------------------------------------------- % % Feature selection is the process of selecting a subset of relevant features % for use in model construction. This script addressess two major feature % selection methods − Filter and Wrapper. While the filter method r...
%% test coupling clear all; Config(); format longg clear all; close all;% clc Sys.HBharms = 1:3; Sys.freq = 1; % Sys.OverSampling = 4; Mtrl = GetMtrlParamsFFT(Sys); int = 1; idx = 1:2:max(Sys.HBharms); E = int*ones(floor(Mtrl.nHarms/2)+1,1); a = 10; b = 5; c = 1; %%% generic implementation Mtrl.f...
clear clc a1 = -2.062e+7; a11 = -2.097e+8; a12 = 7.974e+8; a111 = 1.294e+9; a112 = -1.95e+9; a123 = -2.5009e+9; a1111 = 3.863e+10; a1112 = 2.529e+10; a1122 = 1.637e+10; a1123 = 1.367e+10; Q11 = 0.1; Q12 = -0.034; Q44 = 0.029; C11 = 1.78e+11; C12 = 0.964e+11; C44 = 1.22e+11; k0 = 8.854e-12; P0 = 0.18; elec0 = 3.21e...
function problem = buildproblem(I, J, X, C, m, n, r, lambda) % PROBLEM = BUILDPROBLEM(I, J, X, C, M, N, R, LAMBDA) % % Build a structure describing a low-rank matrix completion problem, to be % used with RTRMC. % % Inputs: % % I, J, X, C: Column vectors of equal length such that the k-th known entry % of th...
classdef ConicalLandRunup2d < SWEWDPreBlanaced2d properties(Constant) %> wet/dry depth threshold %> gravity acceleration % gra = 9.8 %> initial water depth h0 = 0.32 %> island central x0 = 12.5 y0 = 15 %> island length L ...
function isFeature = isFeatureInConf(configurationFile,feature) conf = read_configuration(configurationFile); isFeature = false; i = 1; while isFeature == false && size(conf,2) > i if strcmp(conf{1,i},feature) isFeature = true; end i=i+1; end end
function drawMaxRunup( obj ) % bctype = [... % enumBoundaryCondition.ZeroGrad, ... % enumBoundaryCondition.ZeroGrad, ... % enumBoundaryCondition.ClampedDepth, ... % enumBoundaryCondition.ZeroGrad]; % % % M = 150; % N = 1; % mesh = makeUniformQuadMesh(N, [0, 25], [0, 30], 250, 300, bctype); % %mesh = ob...
clear all; %Read first sheet or KDD Training+ from NSL-KDD Dataset Processd with R [KDD_Training_p_num_5class_target,KDD_Training_p_txt_5class_target,~] = xlsread('F:\Documents\MATLAB\Data\KDD\NSL-KDD Dataset\Processd with R\Training_p-R.csv'); %Read seecond sheet or 20% KDD Training+ from NSL-KDD Dataset Processd wit...
classdef sVBM_participant %sVBM_participant Summary of this class goes here % Detailed explanation goes here properties PIDN Fullpath Datapath Group Timepoint Deltatime BaselineROIVolumes BaselineTissueVolumes % ...
%% Create variant maps in X minute increments with odd numbered sessions for test split-half using rest data % % This script requires CIFTI timeseries that have been converted to the % surface (numvertices x timepoints), temporal masks for "high-quality" % data points (timepoints x 1 binarized files), the output struc...
% function PopulationCoding figure_width = 11.4; % cm figure_hight = 11.4; % cm figure('NumberTitle','off','name', 'WMPopulationCoding', 'units', 'centimeters', ... 'color','w', 'position', [0, 0, figure_width, figure_hight], ... 'PaperSize', [figure_width, figure_hight]); % this is the trick! dir_strut = dir(...
function im = align_face( im, nPoints, target_nPoints, crop ) % Align faces with an affine transform % im = align_face( im, nPoints, target_nPoints, crop ) % im: image % nPoints: source landmarks % target_nPoints: target landmarks % crop: crop the resulting image (e.g., [1 1 224 224]) im = affine_transfor...
%% RunSHM clear all close all clc %% Generate data for Simple Harmoinc Oscillator M = 5; % mass in KG K = 0.2; % spring constant Fext = 1; % external force magnitude tf = 1000; % time span gMode = 2; % graphic mode sigma = 0.04; % standard deviation [t,y,ytilde,u,X] = SimpleHarmonicOsc(M...
function TDemin = DeminSeries(T,WinSz) TDemin = NaN(WinSz-1,1); for istop = WinSz:length(T) istart = istop - WinSz + 1; TDemin(end+1)= T(istop) - min( T(istart:istop) ); end return end
clear all close all ind = 1; for jj=1:131 url = ['http://www.hemnet.se/salda/bostader?item_types%5B%5D=bostadsratt&location_ids%5B%5D=898716&page=' num2str(jj)]; html = urlread(url); a = strfind(html,'"item sold result normal"'); for ii=1:length(a) if ii<length(a) ...
clc; addpath('lib'); addpath(genpath('textures')); %Lectura archivos de prueba test=dir('textures/test'); testname = extractfield(test,'name'); testname=testname(3:end-1); %% %Numero bins k=16*4; %Carga del banco de filtros y textones load('bt.mat'); %Creacion vector anotaciones verdaderas y representaciones datat...
%MÉTODO DEL PUNTO MEDIO % - Introduzca la ecuación diferencial : 'Dy=y-(x^2)+1' % - Introduzca la condición y(a)=b : 'y(0)=0.5' % - Introduzca la función de trabajo : y-(x^2)+1 % - Introduzca la condición inicial : 0.5 % - Introduzca el valor de a : 0 % - Introduzca...
function n = LoiGeometrique(p); n = 0; while LoiBernoulli(p) == 0; n = n + 1; end;
%% Range of movement of Shoulder in Lateral Box Transfer % Code AUTHOR: Yaiza Benito Molpeceres. DATE: January-May 2020. % Adapted to Octave by Guillermo Asín Prieto % Exoskeleton trials segmentation: 54, 55, 56, 62. % Five phases shown in figure 1: % 1: Subject picks up the box in the sagittal plane (idxO1:idxF1...
function [G1, G2, G3] = bispectrum_grad_from_harmonics(a_lms, B, W, L1_list, L2_list, L3_list, L_list, m_list, s_lens, blk_id) % Compute the three terms in the gradient of the bispectrum. Uses % precomputations done in precomp_B_factors_script.m. % See reconstruct_from_clean_autocorrs_script.m for example usage. % % I...
function [Dtot,dx,dy,dn,Dx,Dy,Dn] = ZTEDISSIPATION(U,P,QuadMats,MESH) %ZTEDISSIPATION Calculates the energy dissipated over a cycle of %data provided % USAGE: % [Dtot,D] = ZTEDISSIPATION(U,T,MESH); % INPUTS: % U : (NnxNcyc) Displacements % T : (NnxNcyc) Tractions % MESH : Structure containing interface...
function [cursor,ax,limsAx] = MouseInAxes(fig) axesHandles = findobj(fig,'type','axes') ; ax = [] ; cursor = [] ; limsAx = [] ; if (~isempty(axesHandles)) for i = 1:length(axesHandles) cursor = axesHandles(i).CurrentPoint(1,1:2) ; limsAx = axis(axesHandles(i)) ; isIn = (cursor(1...
function out1 = hess_grf_ceq_heel1719(in1,toe_th,dmax,cmax,k,us,ud) %HESS_GRF_CEQ_HEEL1719 % OUT1 = HESS_GRF_CEQ_HEEL1719(IN1,TOE_TH,DMAX,CMAX,K,US,UD) % This function was generated by the Symbolic Math Toolbox version 8.4. % 23-Jun-2020 09:33:53 out1 = 0.0;
% outputs the velocity at the periapsis of a hyperbolic trajectory % based on V_inf (hyperbolic excess velocity) % Damon Printz function [Vp] = hyperbolic_periapsis (mu, Rp, Vinf) Vp = sqrt(Vinf^2+2*mu/Rp); endfunction
function [Rpeaks,HeartRate,R_series,RR] = rpeak1(ecg,fs) N = length(ecg); m = 1; for j = 1:fs:N-fs PeakMax(m) = max(ecg(j:j+fs)); m = m+1; end [hn,xout] = hist(PeakMax,16); [C,I] = max(hn); PeakM = xout(I); R_series =0; h= 1; k = 1; t=1; Rpeaks = 0; HeartRate= 0; % f...
function BLUR_IM = vuRecursiveGaussianBlur(X, varargin) % vuRecursiveGaussianBlur performs a convolution with an appoximated % Gaussian Kernal % % SYNTAX: % BLUR_IM = vuRecursiveGaussianBlur(X) % BLUR_IM = vuRecursiveGaussianBlur(X, options) % % OPTIONS & DEFAULTS: % sigma = 5 (5% width of X) % ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % DFBAlab: Dynamic Flux Balance Analysis laboratory % % Process Systems Engineering Laboratory, Cambridge, MA, USA % % July 2014 % % Written by...
clear all %clear all variables close all %close all figure clc %clear screen p =[0 0 0; 0 0 1; 0 1 0; 0 1 1; 1 0 0; 1 0 1; 1 1 0; 1 1 1]; %input vectors (input patterns) t =[0 1 1 1 0 0 0 1]'; %target output w = [0.5 0.5 1]; %initial weight b = 1; %initial bias %plot input, target, and initial weight(line wp+b =0) %s...
function compare_perim(w,tign_new) %w = read_wrfout_tign(f), f - wrfout file %tign_new = squish(w) - analysis or inital estimate to compare against perimeter %subset the fire domain to make it easier to work with red = subset_domain(w); %% find which fire and data locations to use % sim = input_num('Patch [1] or ...
%{ This function will calculate the fitness of all the images within the population. %} function [Y] = calculateFitnessImage(X,TargetImage) % First grab the dimansion of the cell %containing the images. [~,cX,~] = size(X); %Improving fitness task 2.2. for i = cX X{1,i} = meanfilter2(X{1,i}); end Tar...
clear; a = imread('input.png'); sg = 10.0; hwk = round((2.5*sg) -0.5) w = zeros((hwk*2)+1,(hwk*2)+1); for r = 1:size(w,1) for c = 1:size(w,2) x = r - hwk -1; y = c - hwk -1; e = -((x^2)+(y^2))/(2*sg^2); w(r,c) = exp(e); end end norm = (w / sum(w(:))); figure('name', 'Visua...
input_path = './input/'; output_path = './output/'; % MB paramMB = getParam(); paramMB.use_backgroundness = false; % MB+ paramMBplus = getParam(); paramMBplus.verbose = true; % to show run time for each step % Geodesic paramGeo = getParam(); paramGeo.use_backgroundness = false; paramGeo.use_geodesic = true; paramMBD...
function [Beta,bestChannels,paramZscore,DC_train,Y] = fusion_classifier_offline(training,varargin) %TEST_CLASSIFIER extract features that will be used later by the %classifier % YPREDICTED = TEST_CLASSIFIER(TRAINING,TESTING). training and testing % are structures where the temporal features(training.features.tempo...
% The MIT License (MIT) % Copyright (c) 2018 Moritz Nakatenus % % Permission is hereby granted, free of charge, to any person obtaining a % copy of this software and associated documentation files (the "Software"), % to deal in the Software without restriction, including without limitation % the rights to use, copy...
function [STG_data] = func_getSTG_forData(STG_all,data_all_new) global num_celltype; % [nSmp,N] = size(data); % STG_data = zeros(nSmp,nSmp); % Dvals = zeros(nSmp,1); % for i=1:nSmp % vect = data(i,:); % val = getState2Int(vect,N); % Dvals(i) = val; % end nSmp = size(d...
function ss = inprod(fdstr1, fdstr2, Lfdobj1, Lfdobj2, rng, wtfd) % INPROD Computes matrix of inner products of functions. % If both functions have the same B-spline basis, both Lfdobj's are % numeric, there is no wtfd argument, and the ranges are the same, % the inner products are exact, and compute...
%*************************************************************************% %Receiver Design function - roles: %Calculate for each reciver the w_i vector %Input: H_i(matrix - NXM),M(scalar),Receiver_type(scalar),Noise_var(scalar),i(scalar). %Output:w_i. %*****************************************************************...
% Setting things up g = [intercept X(1:5,:)' shares_hat]; site = delta - g*b; beta = [b(1:6); beta_final; b(7); 1]; %% % Calculating Welfare for 30% increase in walleye catch rate at all sites lakes = 100; index_start = 0; EU_0 = zeros(n,1); for i = 1:n; index = index_start + 1; z = [interc...
function [colonyIdx, colonyOutIdx, colonyState] = specifyColonyInsideLattice(lattice, colonyRadius, nSides, quadrantCut) %% function to specify colony inside lattice % colonyIdx: pixels in colony. % colonyOutIdx = pixels outside colony % colonyState = binary matrix:- 1:colony. if nSides == 0 colonyState = ones(si...
function [px, py] = hessian_detector(I, sigma, tresh) [Ixx, Iyy, Ixy] = gaussderiv2(I, sigma); I_hess = sigma ^ 4 * (Ixx .* Iyy - Ixy .^ 2); I_hess = nonmaxsuppression2D(I_hess); I_hess = I_hess > tresh; idx = find(I_hess); [py, px] = ind2sub(size(I), idx);
function [default_geodir,default_meshdir] = default_directories(type) env=fc_vfemp1.environment(); switch type case 2 default_geodir=[env.Path,filesep,'geodir',filesep,'2d']; default_meshdir=[env.Path,filesep,'meshes',filesep,'2d']; case 2.5 default_geodir=[env.Path,filesep,'geodir',filese...
function WYHydroForecast(Date) global Plant CurrentState DateSim TestData hydroforecast = false; for i = 1:1:length(Plant.Generator) if strcmp(Plant.Generator(i).Type,'Hydro Storage') hydroforecast = true; end end if isfield(Plant,'WYForecast') nY = length(Plant.WYForecast); prevForcast = Plant...
function kx = kernel2(x, xKern, theta) % KERNEL Compute the rbf kernel q = size(x,2)/2; n2 = dist2(x(:,1:q), xKern(:,1:q)); m2 = dist2(x(:,q+1:end), xKern(:,q+1:end)); rn = theta(1)/2; rm = theta(2)/2; kx = theta(3)*exp(-(n2*rn + m2*rm));
%start new session clear % Store audio file named : 'audioSample.wav' % Sampling frequency : fs % Sampling period : ts % Audio file values : x % Training set : train_set % Training set interval : [start_sample , end_sample] sec % # of q levels % (i.e. resolution level): qlev [x, fs] ...
function status = CIR_MLE2(roll_expand,SD,MA,offset,itemName, itemType,mode) cHeader = {'Date' 'cir_kappa' 'cir_theta' 'cir_sigma' 'cir_leakage' 'cir_kappa_sd' 'cir_theta_sd' 'cir_sigma_sd' 'cir_kappa_z' 'cir_theta_z' 'cir_sigma_z' }; textHeader = strjoin(cHeader, ','); delimiterIn = ','; %use , as delimit...
clear all; clc; close all; % Extract 1 Radar Frame path_get_frame = 'Radar_frame_samples/three_ped_walking_in_circle/'; frameID = 100; Frame = load(strcat(path_get_frame, 'Frame_',num2str(frameID), '.mat')); Frame = Frame.FRAME; %(sampleIdx, virtualantennaIdx, chirpIdx) (128, 8, 128) % Radar Frame Structure Details...
Jt = (Mp*(Lr^2)+Jr)*(Jp+.25*Mp*(Lp^2))-(.5*Mp*Lp*Lr)^2; % State Space Representation A = [0, 0, 1, 0; 0, 0, 0, 1; 0, (1/(4*Jt))*((Mp^2)*(Lp^2)*Lr*g), (1/Jt)*(-Jp*Dr-.25*Mp*(Lp^2)*Dr), (1/(2*Jt))*(-Mp*Lp*Lr*Dp); 0, (1/(2*Jt))*((Mp^2)*(Lr^2)*Lp*g+Jr*Mp*Lp*g), (1/(2*Jt))*(-Mp*Lp*Lr*Dr), (1/Jt)*(-Dp*Mp*(Lr...
%{ Preprocess graph Get largest WCC %} clear %g = 'collabo'; g = 'collabo2'; %g= 'wiki'; %g = 'gnutella'; if strcmp(g, 'collabo') load('ca-HepTh.mat') A = Problem.A; G = graph(A); n = G.numnodes; conn = conncomp(G); to_remove = zeros(n,1); for node = 1:n if conn(node) ~= 1 ...
function fn_disp(varargin) % function fn_disp(varargin) %--- % displays each argument in an improved ergonomic way % Thomas Deneux % Copyright 2004-2012 for i=1:nargin, disp(varargin{i}); end
% Create a plot showcasing the effect zero-padding has on the spectra, % and where the original samples will be in the zero-padded spectra N = 8; I = 8; fc = 400; dt = 1 / fc; stopTime = 0.02; t = 0:dt:stopTime-dt; f = 177; signal = cos(2 * pi * f * t) + 1j * sin(2 * pi * f * t); zero_padding = zeros(1, (I-1)*N); ...
clear; % close all set(0,'DefaultFigureWindowStyle','docked'); % makes figures dock into the same window set(0,'DefaultFigureWindowStyle','docked'); % makes figures dock into the same window set(0,'defaultAxesFontSize',14) set(0,'defaultLineLineWidth',2) % Recording output outputFolder = 'decodingOnAnticipationSessio...
function plot_raw_file(fid) here = pwd; % mfiles folder basedir = here(1:(end-6)); % substract the mfile folder head = chi_get_calibration_coefs(basedir); [data, ~] = raw_load_chipod(fid); cal = chi_calibrate_chipod(data, head) CreateFigure; [ax, ~] = create_axes(...
function hpatch = fillmm(envmm,x) % hpatch = fillmm(envmm,x) plots filled polygonal region % for a function whose envelope is specified by ymin,ymax pairs % in the structure envmm % The x coords are given by x if (nargin==1) x = 1:size(envmm.min,2); end yy = [envmm.min flipdim(envmm.max,2)]; xx = [x flipdim(x,2)]; hpa...
function fourierFit = fourierApprox(values) dt = pi / 160; t = 0:dt:(length(values)-1)*dt; fourierFit = fit(t',values','fourier8'); plot(fourierFit,t,values) % figure % subplot(2,1,1) % plot(t,values) % legend('Original',... % 'Location','SouthEast') % subplot(2,1,2) % plot(fourierFit) % legend('Reconstructe...