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%% Examining the Data to Create a Local Quadratic Regression Model % vpreston % Dec. 3, 2018 % Read the data in format long g dataoffit = readtable('data_to_fit.csv'); x = dataoffit.Smoothed_X(1:50:end); y = dataoffit.Smoothed_Y(1:50:end); z = dataoffit.Smoothed_Z(1:50:end); all = [x,y,z]; % Get a random sample of t...
function [l,particleDiameterClean,particle_storage,control0] = ... imageAnalysis(All,path,strelRatio,limitParticleSize,pixelLength,shapeFactorMax,shapeFactorMin) [n,~,l] = size(All); for i = 1:l I = All((n*0.15):(n*0.85),:,i); I_storage(:,:,i) = I; [bw,particle_percentage,background...
%Heat Equation 1D - Cas homogène | Régime permanent | Sans source interne clear all clc %Mur d’un four est composé de 2 couches %Hypothèses : -Pas de source interne -Régime permanent -Problème 1D -Contact parfait %Données e1 = 0.2; %Epaisseur du mur 1 en m e2 = 0.1; %Epaisseur du mur 2 en m K1 = 1.38; %Conductivité ...
% Clean up HyGA-MPETSc.
function[p] = listLength_runSim(p) % listLength_runSim -- controls flow of sessions. That is, sets necessary % session specific parameters for whichever rat runSim was called for. As % such, this function might better be defined as a script. % called by: createSim % calls: model % input: % p: experimental structure...
function plot_data(data) markers = ['+','o','*','.','x','s','d','^','v','>','<','p','h']; for i = 1:length(data) hold on plot(data{i,1},data{i,2},markers(i)) end addgrid() end
function [errmsg] = util_disp_ns_errcode( errcode, dodisp ) %UTIL_DISP_NS_ERRCODE Display the meaning of Neuroshare error code % According to % http://neuroshare.sourceforge.net/Matlab-Import-Filter/NeuroshareMatlabAPI-2-2.htm#Installation % % if 'dodisp' is true, the function will display the error messa...
i = -1.01; fprintf('%5.2f%10.2f%10.2f\n',i,-i,i)
figure; t = 0:pi/100:2*pi; plot(t,sin(t)); hold on; plot(t,cos(t),'r--'); hold off; xlabel('Time(s)'); ylabel('Function value'); title('Sin and Cos function'); legend('Sin','Cos'); xlim([0 2*pi]); ylim([-1.4 1.4]);
function [file, msg] = dicom_write_stream(file, data_streams) %DICOM_WRITE_STREAM Write an encoded stream to a file. % [FILE, MSG] = DICOM_WRITE_STREAM(FILE, STREAMS) writes the UINT8 data % streams stored in the cell array STREAMS to the message specified in % FILE. An updated FILE structure is returned a...
%% prepare data sets X = data1(:,1); Y = data1(:,2); s_theta = data1(:,3) + data2(:,3) + data3(:,3); % 2 link train data % x = {X(:)';Y(:)'}; % t = [data1(:,3)'; data2(:,3)']; % 3 link train data x = {X(:)'; Y(:)'; s_theta(:)'}; t = [data1(:,3)'; data2(:,3)'; data3(:,3)']; %% % Choose a Training Function trainFcn = ...
%% just to calculate the matrix of x clc clear M = input ('Please enter the value of M= '); N = input ('Please enter the value of N= '); dx = input ('Please enter the value of dx= '); U = zeros (1,M-2); for idx = 1 : M-2 f = sin(dx *idx); U(1,idx) = f; end %fprintf('%g ', U); len = (M-2) * (N-1); b = zeros(le...
% acceptable error for solution epsilon = 1e-4; % chosen value of omega for SOR omega = 1.32; % produce matrices for initial guesses for each interval size initial_mesh_100 = zeros(101,201); initial_mesh_50 = zeros(51,101); initial_mesh_25 = zeros(26, 51); % populate the matrices with the boundary conditions for j =...
%% Things you need to imput/change. filename = 'C:\Xcalibur\data\Owlstone\6th\ML2\AJC_ML_2.imzML'; % Location of the imzml file imzMLConverterLocation = 'C:\Users\creeseay\Documents\MATLAB\imzMLConverter\imzMLConverter.jar'; % Location of the imzmlConverter software. CFs=-1; %Starting CF CFe=4; % Ending CF ScanT=180...
clear; train=loadjson('train.json'); j=1; for i=1:1604 x=train{1,i}; if(strcmp(x.inc_angle,'na')==1) continue; else x=[(x.band_1+x.band_2)/2 x.inc_angle x.is_iceberg]; trainSet(j,:)=x; j=j+1; end end temp=trainSet(1:700,:); save('trainSet.txt','temp','-ascii'); temp=trainSet(701:1471,:); save('valid...
function [data,statu,statu2,realn2,realn3] = Multi_With_Couple(data,statu,statu2,realn2,realn3,Couple_Num,e,d,Solution,Solution2,row,column) n2=(column*row-1)/8; n3=(column*row-1)/4; if realn2 ~= 0 for i =(n2-realn2+1) : (n2-realn2+Couple_Num*3) A=Solution{n3-realn3+i,1}; [statu,st...
[x,y]=meshgrid(0:0.01:1,0:0.01:1); z=(x.^2).*1-(y.^0.5).*1; mesh(x,y,z);
function found = begin_with (line1,str) % test if a given string begin with another shorter string % % Syntax : found = begin_with (line1,str) % % Param : line1, string, must be longer than or as long as str % % Param : str, string, must be shorter than or as long as line1 % % Return : found, boolean, obvious ...
%[2010]-"Firefly algorithm,stochastic test functions and design %optimization" % (9/12/2020) function FA = jFireflyAlgorithm(feat,label,opts) % Parameters lb = 0; ub = 1; thres = 0.5; alpha = 1; % constant beta0 = 1; % light amplitude gamma = 1; % absorbtion coefficient theta = 0...
function [obj,dObj] = obj_fwdDyn(x,q,p) %% add the last column x0 = p.mapA*x(:,1)-p.mapB; x = [x,x0]; %% [ceq,gradceq] = dynConst_forwardDyn(x,q,p); obj = 0.5*(ceq.'*ceq); % the gradient of the last column should be add on the first column gradceq(1:p.numJ+2,:) = gradceq(1:p.numJ+2,:)+p.mapA*gradc...
%% Housekeeping clear %% Values Simulation_Time = 300; out=sim('PID_Tuning_models',Simulation_Time); K_m = 0.025; tau_m = 1/12; % Mins (Dead time) T_m = 1/2; % Mins %% Run and Import Data from Simulink % ZN 1st Method x1 = out.tout; y1 = out.ZN1.signals.values; y1_MV = out.ZNMV1.signals.values; % Manipulated Var...
function f=matleap_frame % MATLEAP_FRAME Get a frame from the leap motion controller f=matleap.frame();
function n = end(this, ~, ~) % end Reference to last parameter variant. % % Backend IRIS function. % No help provided. % -IRIS Macroeconomic Modeling Toolbox. % -Copyright (c) 2007-2017 IRIS Solutions Team. %-------------------------------------------------------------------------- n = length(this.Vari...
% Gather initial values for the parameters that will be fit via JAGS. % These values are for the occasion when the random walk is initiated with % a NULL model. asd = data(or(data.ages=='1', or(data.ages=='2', or(data.ages=='3', data.ages=='4'))), :); asd.cases(asd.ages=='1') = round(asd.cases(asd.ages=='1')./asd.pa...
function [ NormCM ] = ConfusionMatrix_display( confusionmatrix, tasklabels ) %ConfusMatwithPrecVal takes the confusion matrix sample number and % calculates and displays the training set classification percentage per % square % STEP 1: Calculate a 'normalized confusion matrix that is based on a % percentage ...
clear variables close all %%%% SVM %% Choose the emotion labels we want to classify in the database % 0:Neutral % 1:Angry % 2:Bored % 3:Disgust % 4:Fear % 5:Happiness % 6:Sadness % 7:Surprise emotionsUsed = [1 6]; %%%%%%%%%%%%%%%% EXTRACT DATA %%%%%%%%%%%% [imagesData shapeData labels stringLabels] = extrac...
clear; close all; clc; tic; global h; % make h a global variable so it can be used outside the main % function. Useful when you do event handling and sequential move SN = 83841563; % put in the serial number of the hardware h = ACT_initialize(SN); %in mm sizeofstep = 0.01; %10 um Totaldistance...
function [x y]=generate_examples(nsamples) if ~exist('nsamples','var') nsamples = 100; end x = rand(1,nsamples); y = zeros(1,nsamples); for i=1:nsamples id = floor(1./x(i)); if mod(id, 2) == 1 y(i) = 1; else y(i) = -1; end end % [xr,index] = sort(x); % yr = y(index); % plot(xr,yr,'b-'); ...
function Arrow(sx,sy,ex,ey) %% 用带箭头的直线连接两点 起点(x1,y1)-->终点(x2,y2) %% len 箭头边长 x1=sx; x2=ex; y1=sy; y2=ey; cita=pi/12; %箭头夹角为30度 cos_cita=cos(cita); sin_cita=sin(cita); x=[x1 x2]; y=[y1 y2]; len=2; r=len/sqrt((x1-x2)*(x1-x2)+(y1-y2)*(y1-y2)); %箭头边长与线段长度的比值 hdl_line=line(x,y,'color',[0 0 0]); ...
stimlist = dir('ferret_stim*.mat'); type_sound = 'same'; lowfreq = 200; %The low frequency cut-off highfreq = 20000; %The high freuqncy cut-off tdt_50k = 48828; %The sampling rate of the TDT filt_order = 8; %The filter order numrepeats = 10; %The number of repeats db_target = 73; %How loud is the middle condition atte...
% mat_files = dir(fullfile(pwd,'csi_tool_matlab/Activity/data/fall_detection/corridor1/phase/*.mat')); % ph_empty_ant1 = load('C:\Users\R00119847\Documents\MATLAB\csi_tool_matlab\Activity\data\fall_detection\corridor1\phase\ph_empty_corridor11.mat') mat_files = dir(fullfile(pwd,'csi_tool_matlab/Activity/data/fall_d...
function OutImage = CycIF_Segmentation_normfit_opencellsizeover5_medianpercell_v1(image_in,filename_out,options) %For Myeloma % clear all % basefolder = 'D:\Myeloma_HSF1_2018-07-27\Myeloma_Segmentation\'; % imagefolder = 'Test_files\'; % %core = ['Field' num2str(prefix2(i2),dim) 'test.tif']; % core = ['Field0002test.ti...
nodesCoords = []; for i = 1:length(nodes) nodesCoords = [nodesCoords; nodes(i).coord]; end for i = 1:length(nodes) plot(nodesCoords(i,1), nodesCoords(i,2),'x') hold on; end % nodesCoords = smooth(nodesCoords);
function [L,U,rowpiv,colpiv] = OuterLU_RP(A) % function [L,U,rowpiv,colpiv] = OuterLU_RP(A) % Outer product LU with rook pivoting % A is nxn % L is nxn and unit lower triangular % U is nxn and upper triangular % rowpiv(1:n-1) houses the pivot row indices % colpiv(1:n-1) houses the pivot column indices % PAQ'...
function quickcheckfits(headpath,fileexpnum) cd('extracted2') savefilename=strcat(fileexpnum,'_analysis2'); load(savefilename); cd(headpath); %add some errorchecking for indices you want to remove or something %[sortednames,data]=cleantrials(data,fileexpnum,filelist,imskip,expskip); filelist=dir; filenames={filelist...
function output = importfile(filename, startRow, endRow) %IMPORTFILE Import numeric data from a text file as column vectors. % [DESCRIPTION,ED412,ED443,ED488,ED510,ED555,ED665,EDPAR,EDGND,TEMP,DEPTH] % = IMPORTFILE(FILENAME) Reads data from text file FILENAME for the % default selection. % % [DESCRIPTION,...
function func8_5(n) if mod(n,2)==0 fprintf('%d is even\n',n); else fprintf('%d is odd\n',n); end
% The following papers are to be cited in the bibliography whenever the software is used % as: % C. G. Bampis, P. Gupta, R. Soundararajan and A. C. Bovik, "SpEED-QA: Spatial Efficient % Entropic Differencing for Image and Video Quality", Signal Processing % Letters, under review % R. Soundararajan and A. C. Bovik...
clear clc pkg load signal % Frecuencia de la señal de información. f1 = 20; f2 = 60; % Frecuencia de la portadora o carrier fc = 5e3; % Frecuencia de muestreo fs = fc * 20; fs2 = fs / 2; filename1 = "message1.txt"; filename2 = "message2.txt"; f1 = fopen(filename1, "r"); f2 = fopen(filename2, "r"); M1 = []; M2 = ...
function [ ] = ellipse_fit( data,ci ,rate_vector,test_flag) % function takes in a matrix of points (data) and a confidence interval % (ci)and plots a 3d cone of the fire. rate_vector is best guess as what % direction in which the fire spreads most rapidly %test_flag =1 tells function you are % using random data....
function [txt,anovastats,multstats,T,ST,ST2] = anova1_std_v2(data,group, Nname,varargin) %% varargin % input if nargin<3 Nname = ''; end ns = 1; % include p=n.s. psig = 0.05; % digit = 2; pSave = ''; vararginProcessor %% check input if numel(data) ~= numel(group); error('x and g different size'); end %% ano...
function [dx, dy] = DKM_phone( qj, qdj) %UNTITLED2 Summary of this function goes here % Detailed explanation goes here global L1 L2 L8 L9 sb q1 = qj(1); q2 = qj(2); q3 = qj(3); q9 = qj(8); q10 = qj(9); qd1 = qdj(1); qd2 = qdj(2); qd3 = qdj(3); qd9 = qdj(8); qd10 = qdj(9); dx = - L1*cos(q1)*qd1 - L2*cos(q2)*qd2 - ...
%% comp_autocorrelate.m % Usage: comp_autocorrelate(ROOT_DIR) % Purpose: template for matlab tools % % User Inputs: % ROOT_DIR - Desired top-level working directory % printFlag - 1 -- print % 0 -- dont % % Function Requirements: % stats.mat autocorr function comp_autocorrelate(RO...
% this function inserts sign_syncB1 into a beginning and an end of signal function [sign_out] = insert_sync_b1(sign_inf, sign_sync, delay) % input: % sign_inf - information signal % sign_sync - sync signal B1 % delay - time delay in a beginning of transmission (unit is bit) % output: % sign_out - informatio...
function [y_q rate coef ] = SPL_Coding(y, quantizer_bitdepth, num_rows,num_cols, Phi) y_max = max(y(:)); y_min = min(y(:)); q = (y_max - y_min)/2^quantizer_bitdepth;%┴┐╗»scale DC_block = ones(256,1)*128;%256*1 DC_Measure = Phi*DC_block; [yq, y_q y_index coef] = SPL_Encode(y,q,DC_Measure); total_pixels = num_rows...
classdef Cell<handle %Cell is a class for living cells. properties id=0 x=0 y=0 HP=0 prol=0 Age=0 end methods function obj=Cell(x,y,HP,prol) if nargin > 0 obj.x=x; obj.y=y; ...
clear; load ../data/music_dataset.mat [Xt_lyrics] = make_lyrics_sparse(train, vocab); [Xq_lyrics] = make_lyrics_sparse(quiz, vocab); Yt = zeros(numel(train), 1); for i=1:numel(train) Yt(i) = genre_class(train(i).genre); end Xt_audio = make_audio(train); Xq_audio = make_audio(quiz); %%conjoin audio training and...
clear close all clc addpath('./MIMOMU_plot'); addpath('../function2use'); EPOCH=10000; SNR=-10:2:30; N_user=[3]; N_trans=[16,64,256]; N_Len=length(N_trans); % %%%%不同用户数%%%%%%%%%%%% % C_miso_mf_user=zeros(length(SNR),N_Len); % C_miso_zf_user=zeros(length(SNR),N_Len); % C_miso_mmse_user=zeros(length(SNR),N_Len); % %...
% %% Problem 1 Edge detection clear clc close all %% can detect rice grains noise = [0:0.1:1]; for ii = 1:length(noise) I1 = imread('rice.png'); I1_noise = I1+uint8(rand(size(I1)).*256.*noise(ii)); I2 = adapthisteq(I1_noise); I3 = wiener2(I2,[5 5]); bw1 = im2bw(I3, graythresh(I3)); % bw2 = imfill...
%Mitchell Melisek %PA-3: MC m=9.109e-31; %mass of an electron q=1.602e-19; %charge of an electron x=0; v=0; t=0; field=5; %Initializing field force=field*q; %Inittializing force equation dt=1e-8; %Wavelength of electron (mm) used for time step v=zeros(1,1); %Setting velocity v to zero x=zeros(1,1); %Setting positio...
%hvwhos - issue 2.0 (10/12/2001) - HVLab HRV Toolbox %--------------------------------------------------- % The equivalent of the Matlab 'whos' command but only lists HVLab datasets % and provides more detail. % % THIS IS A SCRIPT. ANY WORKSPACE VARIABLES BEGINNING 'HVDIR_' MAY BE % DELETED. % % Written TPG...
function [ output_args ] = rawH5missing(allF) %rawH5missing - find missing files, which need to be transferred or %processed % Where the final files are kept procPath = '/Users/jmckenzi/Documents/Box Sync/H5 Convert/'; h5Files = fileFinderAll(procPath,'h5'); numF = size(allF,1); chk = false(numF,1); for n = 1:numF ...
s11 = zeros(201,41); s21 = s11; for pow = 10:50 airfile = sprintf('75mm_coax_air_%ddbm_3-23-17.dat',pow); [s_11,s_21,frequency] = s2pToComplexSParam_v4(airfile); s11(:,pow-9) = s_11; s21(:,pow-9) = s_21; end subplot(211) plot(frequency/1e9,angle(s21)) xlabel('frequency (GHz)') ylabel('magnitude') title(...
function [drp, binCenters] = densityRecoveryProfile(centers, numBins, binWidth, visualize) % DENSITYRECOVERYPROFILE Profiles mosaic regularity % % Inputs: % centers centers of each object in mosaic % numBins number of annuli % binWidth annulus width % Optional I...
function [f,g] = logistic_regression(theta, X, y) % % Arguments: % theta - A column vector containing the parameter values to optimize. % X - The examples stored in a matrix. % X(i,j) is the i'th coordinate of the j'th example. % y - The label for each example. y(j) is the j'th example's labe...
function [] = csys_printf(ac, varargin) % % NAME % % function [] = csys_print(ac, format ...) % % ARGUMENTS % INPUT % ac class "standard" class % format, ... string C-style format string % % DESCRIPTION % % A simple wrapper to sys_printf(...) % % PRECONDITIONS % % o Assumes class <c> exists in c...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % function [ I, Ixx, Iyy, Ixy, Gxx, Gyy, Gxy, Hdense, Hnonmax, Corners] = % harris_corner(Igray, parameters ) % purpose : Harris Corner Detector %%%%%%%%%%%%%%...
a0_list = zeros(1,100); a1s_list = zeros(1,100); a1c_list = zeros(1,100); iu=1; for u = 1:1:100 [a0,a1s,a1c] = Flapping2(u,0,0,deg2rad(12),0,0,10); a0_list(iu) = a0; a1s_list(iu) = a1s; a1c_list(iu) = a1c; iu=iu+1; end figure(1) plot(1:1:100,rad2deg(a0_list),'linewidth',2) xlabel('u');ylabel('...
function configSync %configures the DAQ device used to generate TTL pulses global daq daqPort1state setupDefault if setupDefault.useMCDaq==1 daq = DaqDeviceIndex; if ~isempty(daq) %port 0 is used for stimulus related TTL pulses DaqDConfigPort(daq,0,0); Daq...
function output = json_read_slow(fid) dat = fileread(fid); txt = json_decode(dat); keypoints = zeros(length(txt.keypoints),2,2,7); scores = zeros(length(txt.keypoints),2,7); for i = 1:length(txt.keypoints) m1=txt.keypoints{i}{1}; m2=txt.keypoints{i}{2}; keypoints(i,1,:,:) = [[m1{1}{:}]; [m1{2}{:}]]; ...
%Homework 4 %By Yejing Zhou & Mengyan Li %plant model % Ap = [-1.3046, 1.0, -0.21420, 0; 47.411, 0, -104.83, 0; 0, 0, 0, 1.0; 0, 0, -1.2769, -1.356]; % Bp = [0;0;0;12769.0]; clear clc % actuator model wn = 2*pi*11; xi = 0.707; % plant model with actuator Ap_hw3 = [-1.3046,1.0, -0.21420, 0; 47.711, 0, -104.83, 0;0, 0,...
%% Set vars for plotting (for popClassifier_setXYall) % savefigs = 0; % loadPostNameVars = 1; % set to 1 if this script is not called from imaging_prep_analysis % traceType = '_'; % whether traces are S, C, or df/f % traceType = '_C_'; % traceType = '_S_'; % traceType = '_dfof_'; trialHistAnalysis = 0; iTiFlg = 2; ...
classdef ustc_dc_v1 < qes.hwdriver.icinterface_compatible % wrap ustcadda as dc source % Copyright 2017 Yulin Wu, Institute of Physics, Chinese Academy of Sciences % mail4ywu@gmail.com/mail4ywu@icloud.com properties (SetAccess = private) numChnls end properties (SetAccess = private, GetAc...
clear all; close all; clc; n=input('Enter the basis matrix dimension: '); m=n; for u=0:n-1 for v=0:n-1 for x=0:n-1 for y=0:n-1 powervalue=0; sn=log2(n); for i=0:sn-1 a=dec2bin(x,sn); b=bin2dec(a(...
alphaKQ = data_alpha; thetaKQ = data_theta; VmKQ = data_Vm; %% alphaKinf = data_alpha; thetaKinf = data_theta; VmKinf = data_Vm; t = alphaKQ(:,1); ref = thetaKQ(:,2); figure(1) clf subplot(3,1,1) % Alpha plot(t,alphaKQ(:,2), 'k:', 'LineWidth', 1.4) hold on plot(t,alphaKinf(:,2),'k') legend('\alpha_{Q}','\alpha_{H_...
% DYANMIC NETWORK SCRIPT EXAMPLE clear all % 1. LOAD DATA data(1,:)=randn(1,20000); data(2,:)=circshift(data(1,:),10); data(3,:)=randn(1,20000); model.data = data; % 2. LOAD MODEL PARAMETERS model.sampling_frequency = 500; model.t = 1:1/model.sampling_frequency:size(data,2)/model.sampling_frequency; model.window_step...
files = dir('*.jpg'); for i = 1:size(files,1), Y = imread(files(i).name); Y = imresize(Y,[50 50]); Y = reshape(Y,50*50,1); X = [X;Y']; end
%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % system_configuration_sample.m % Configuration file for the whole system, including % processors, applications, tasks, messages, custom contraints and modes %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Simple configuration example %%%%%%%...
% Syntax % [NRep, err] = PS_GetRepetitions(StimN, ChN) % Description % Gets number of repetitions - the number of times that the bi-phasic pulse or the arbitrary waveform (loaded from a text file) is repeated for channel ChN. % StimN - stimulator number to query (starts from 1) % ChN - channel number ...
function [scan] = diagscan(N) % DIAGSCAN Generate diagonal scanning pattern % % [scan] = DIAGSCAN(N) Produces a diagonal scanning index for % an NxN matrix % % The first entry in the matrix is assumed to be the DC coefficient % and is therefore not included in the scan slast = N+1; scan = slast; while...
function course_ch5(n) % 第五章 彩色图像处理 % n=1 RGB图像 % n=2 索引图像 % n=3 索引图像 % n=4 预定义的彩色映射 % n=5 处理RGB与索引图像 % n=6 彩色图像平滑处理 % n=7 彩色图像锐化处理 % n=8 梯度检测彩色边缘 % n=9 图像分割 if(n == 1) % RGB图像 rgbcube(); elseif(n == 2) % 索引图像 ...
function [vtrans, vrot] = rs_visual_odometry(raw_image) % [vtrans, vrot] = rs_visual_odometry(raw_image) % Copyright (C) 2008 David Ball (d.ball@uq.edu.au) (MATLAB version) % Michael Milford (m.milford1@uq.edu.au) & Gordon Wyeth (g.wyeth@uq.edu.au) % % This program is free software: you can redistribu...
close all clear all clc %Leer el Primer angulo promt = 'introduzca el valor (grados):'; angDeg = input(promt); angRad = deg2rad(angDeg); %Leer el Segundo angulo con diferente variable promt = 'introduzca el valor (grados) de la segunda articulacion:'; angDeg2 = input(promt); angRad2 = deg2rad(an...
function r = dos2lin(p) % function r = dos2lin(p) % % dos formatinda verilen "p" stringindeki "\" karakterini % lin format?ndaki kar??l??? olan "/" ile de?i?tir. % % Example: % p = 'data\train' % r = dos2lin(p) r = strrep(p, '\', '/');
function fill64(data,scanrate,time) % fill64(data,scanrate,time) % Plots all 64 channels on screen, for envelope data % time (optional) gives the time range [tmin,tmax) in seconds % if time is absent, the whole range is plotted set(0,'Units','pixels') scnsize = get(0,'ScreenSize'); figure('Position',scnsize) set(gcf,'D...
filename = 'open_loop_ultimate.txt'; A = importdata(filename); offset=20; A=A(offset:end,1:5); A(:,1)=A(:,1)-offset*0.1; plot(A(:,1),A(:,3),'b-');hold on; plot(A(:,1),10.1*ones(size(A(:,1),1)),'r-'); legend(...'setpoint level [cm]',... ... 'tank level [cm]','asymptotic value'...,'intial flow u_0 [ml.s^-1]','command...
function plot_amp2(H1,H2,m2,m3,s1,s2,Q) % H1 = 0.5; % H2 = 0.6; % m2 = 0.5; % m3 = 0.25; % s1 = 1.0; % s2 = 1.0; % Q = 1.0; % H1 = 0.3; % H2 = 0.85; % m2 = 0.5; % m3 = 0.25; % s1 = 1.0; % s2 = 1.0; % Q = 1.0; % H1 = 0.6; ...
frame = imread('C:\Users\60069978\Documents\MATLAB\scan\frame_grados_01_004.png'); perfil = median(frame); perfil = double(perfil)/2^4; datos_x = []; datos_y = []; for i = 1:numel(perfil) if perfil(i) ~= 0 datos_x = [datos_x i]; datos_y = [datos_y perfil(i)]; end end % digo qu...
time2=1:65; Xi=Xi(:,:);rXi=rXi(:,:);Xs=Xs(:,:);rXs=rXs(:,:); Xi=fXi(:,:);rXi=frXi(:,:);Xs=fXs(:,:);rXs=frXs(:,:); Xi=normc(Xi);rXi=normc(rXi);Xs=normc(Xs);rXs=normc(rXs); Ns=size(Xs,1);Ni=size(Xi,1); nex=size(Xi,2);rnex=size(rXi,2); dtrn=1:round(nex*1/3); drtrn=1:round(nex*1/3); ctrn=numel(dtrn)+1:round(2*nex/3); crtrn...
[filenames, pathname, filterindex] = uigetfile( '*.wav', 'WAV-files (*.wav)','Pick a file', 'MultiSelect', 'on'); %in case only one selected y = zeros(16000, length(filenames)); fs = zeros(length(filenames),1); for K = 1 : length(filenames) thisfullname = fullfile(pathname, filenames{K}); y1 ...
%% Representación Gráfica de señales Sinusoidales t = 0:2:59; y = sin(t/6); subplot 311 g1 = stem(t,y,"r"); grid on; xlabel("tiempo s"); ylabel("Amplitud"); title("Resultado de stem en señal y(t)") subplot 312 g2 = plot(t,y, "g"); g2.LineWidth = 2; grid on xlabel("tiempo s"); ylabel("Amplitud"); title("Resultado de ...
function [P, PARENT, KINE, INER] = LegModel() % Parameters (all in mm) P.LT = .100; P.Lh = .200; P.Lt = .250; P.Ls = .250; P.Lf = .150; P.Lw = .100; P.La = .050; P.Lb = .050; P.Lc = .010; P.g = 9.8; % Transformations from one joint to its proximal joint (proximal)^T_(dis...
%{ # Optional parameters for event detection psp_opt : smallint unsigned # event detection option index --- low_pass = 100 : float # high pass filter high_pass = 5 : float # low pass filter min_amp = 2 : float # minimum allowable amplitud...
function WF1 = WFLeg1() % Leg 1: Engine start and warm up % This value is taken from Roskam WF1 = 0.99; end
% Load images clc; clear all; close all; % for n=1:13 % images{n} = imread(sprintf('Images/Miscellaneous-USC-DataBase/misc/color_image/%03d.tiff',n)); % end for K = 1 : 20 images = imresize(imread((sprintf('%d.jpg', K))),[256, 256]); setfigurepos([100 100 900 1000]); ax = subplot(4, 5, K); imshow(images, 'Pa...
function result = bitxor (arg1, arg2) % bitxor bitwise xor of to numbers % works much like bitxor in the Matlab library. [errorcode, byte_vector1, byte_vector2] = common_size (arg1, arg2); assert (errorcode == 0, ... 'bitxor', 'vector dimensions do not match'); [m, n] = size (byte_vector1); result = zeros...
function [ mz,sp,pmz ] = rawH5mean(file,mzRange) %rawH5mean - determine mean spectrum % Define mz values if not provided if nargin == 1 mzRange = [100 1000]; end % Determine number of pixels totInt = h5read(file,'/totPts'); numS = numel(totInt); % Paolo's code pmz = cell(numS,1); wb = waitbar(0,'Hello'); %...
function [spikeTimes,synch_chan] = get_spikes_old(data_root,start_time,end_time,plot_name) plot_on = false; fs = 30000; %In Hz spikeThreshold = 3; %In standard deviations %For average plotting first_ch = 20; last_ch = 120; step_ch = 10; chans = [first_ch:last_ch]; %For individual plotting chan_list = [first_ch:step_ch:...
% Load in the Annexin data set and the TP0 treated data set % p-value analysis close all; clear all; clc; [growth_data, T]= xlsread('../data/Annexin_data.xlsx'); %% Adjust the data tdata = growth_data(:,1); % this is in hours % cell numbers should be in millions N_cells = growth_data(:,2:end); nsubpops = 3; %% Make a...
function result = ifwt(signal) result = common.fwtInner(signal); end
function [inc,roll,flag] = cameraAnglesFromHorizon(images,cameraParams,horizonOptions) % undistort images [nr,nc,n] = size(images); imageUndistort = zeros(nr,nc,n,'uint8'); for i = 1:n imageUndistort(:,:,i) = undistortImage(images(:,:,i),cameraParams); end % set horizon search ROI if isempty(horizonOptions.Rows) ...
function parameters(sgn) global uc rho_w rho_u rho_v M_d T_m tau N K K_dth Vc dt Ts % ------------------- Control Design ------------------- % dt = 0.01; % Initial Increment [sec] Ts = 0.01; % Step size time [sec] T_m = 120; % Acceleration [m/sec2] tau = 0.05;...
function [ x, res ] = polyfilter( A, b, order) %POLYFILTER Fit polynomial basis function to data. % Inputs: % Observations: n x m % b: Labels (n x 1) % order: Order of the polynomial. Must be less than n. % Outputs: % x - Solution (m x 1) evaluated along the polynomial m = size(A, 2...
function p = fhm_params(q,s2_type,s2_fSizes,s1_fVals,c1sp) % if nargin < 6, is_s1frag = false; end if nargin < 7, is_colfrag = false; end p.groups = {}; %*************************************************************************************************************** c = struct; c.name = 'ri'; ...
% Software: Preprocessing % Author: Hy Truong Son % Position: PhD Student % Institution: Department of Computer Science, The University of Chicago % Email: sonpascal93@gmail.com, hytruongson@uchicago.edu % Website: http://people.inf.elte.hu/hytruongson/ % Copyright 2016 (c) Hy Truong Son. All rights reserved. function...
function avarfit(sigma, tau) % Gyro Allan variance fit tool. % % Prototype: avarfit(sigma, tau) % Inputs: sigma - gyro Allan variance array, in deg/hur % tau - Allan variance correlated time array, in sec % % Example: % y = avarsimu([0.001,0.05,0.01,.01], [1, 1], 0.01, 1000000, 1); % [sigma,tau] = avar...
clc; close all; clear all; % Leitura da base de dados filename_std = 'C:\repos\ann-arrhythmia\dataproc\healthy_samples.csv'; filename_norm = 'C:\repos\ann-arrhythmia\dataproc\healthy_samples_norm.csv'; hidden_layer_size = 1000; x_norm = csvread(filename_norm); % Entradas Normalizadas x_std = csvread(filename_std); % ...
function desiDB %desiDB - this is the new and rejuvenated functino for launching a DESI %toolbox database (for the new toolbox!) % Let's define the default path here if ismac %defP = '/Volumes/Data/Data/'; %defP = '/Users/jmckenzi/Dropbox/Imperial/Projects/Multiple Samples/Colo/';%DB/MSA/'; %defP = '/Users...
function [weights, params, history, infer, grad] = rbm_train(xtrain, params) % fill in missing values params = fillin_params(params); % input-output types typein = params.typein; typeout = params.typeout; % filename to save if ~isfield(params,'fname'), params.fname = sprintf('%s_%s_%s_v%d_h%d_step_%d_eps%g_l2re...
function g = g_wdbc(w,D,mu) X = D(1:30,:); y = D(31,:); P = length(y); g = zeros(31,1); for i = 1:P xi = [X(:,i); 1]; ei = exp(y(i)*(w'*xi)); gi = -y(i)*xi/(1+ei); g = g + gi; end g = g/P + mu*w; end