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function title_align_left(iText,varargin) t = title(iText,'horizontalAlignment', 'left',varargin{:}); h = get(t, 'position'); set(t, 'position', [0 h(2) h(3)]); end
function p = m2p( m ) %M2P 此处显示有关此函数的摘要 % 此处显示详细说明 m(1,1) = m(1,1) - 1; m(2,2) = m(2,2) - 1; m = m(1:2,:); p = m(:); end
GUI-Graphical User Interface Corresponde al entorno de programacion Orientada a objetos. Para ingresar a la ventana de edicion de GUI, en el prompt del MATLAB se debe escribir >> guide Seleccionar blank GUI y cambiar en preferencias -Show name in component pallet- Para duplicar un objeto se usa ctl+d Para cambiar el ...
function img = reconTomoSAA( sino, geom ) img = backProjectPixelDrivenMex(sino, geom ); w = backProjectPixelDrivenMex( ones( size(sino), 'single'), geom ); img = img./w; end
%% %%The Chorus Filter and System Objects%% %% clear all close all clc %% Another chorus filter fs = 8000; [h1,w1] = freqz ([1 zeros(1,49) 1 zeros(1,49) 1],[1],'whole',fs); figure(1) plot(w1,20*log10(abs(h1))); xlim([0 0.1*pi]) ylim([-30 10]) title('freqz rad/samples D = 50'); %% The Chorus Filter Fs = 8000; % Samp...
function A = createEsEdges(A,Z,X,N,param,DEF_INF) % Create edges in the graph between surfaces (See Equation 4 in LI06). % Edges are created between each vertex and the corresponding vertex in the % adjacent surface. These edges act as distance constraints between each % surface, defining the minimum (dl(i,i+1)) and ma...
function [stim_Ref, stimA, stimB1, stimA2, ERBspace, Tones_f, envs_A, envs_B1] = StimBind_noRect_3AFC(Corr_inds, fs,bw,bp_fo) % IF ERB_spacing is given, that will be used instead of Tones_num % This version of the binding stimulus will return the A and B parts % seperatley for a 3AFC experiment. No half wave rectifi...
function [ filtered_rti ] = detection_thresholding( rss_change_estimate,Tt ) %DETECTION_THRESHOLDING Filters the RSS change estimation with a vector %mask [0 1] depending if the signal levels reach a threshold % rss_change_estimate Estimated changes in RSS by each voxel % calibration_steps Number of frame...
function GridConfig = GenerateRhythmicGrid(CanvasW, Ratio, Baseline, ColumnsNum, GutterW, SubRhythm) %GENERATERHYTHMICGRID Generate rhythmic grid(s) based on input configuration. %Possible return of multiple grids (including non-optimal) or none. % % CanvasW [px] - Max canvas width % Ratio string representing ratio...
function molefractioncontroller = molefractioncontroller(teststream, name); global processOperations molefractioncontroller = neqsim.processSimulation.controllerDevice.MoleFractionControllerUtil(teststream); if(nargin>=2) molefractioncontroller.setName(name); end processOperations.add(molefractioncontroller); ...
% Compute MJO phase from ERA-I observations (1985-2013) and split into % favorable/unfavorable phases for a given ocean basin. % % Meg D. Fowler, 2017-05-02 % %% Determine MJO phase load('anomalies_ymean_1983-2013_ERA-I.mat'); %Loads array "anomalies_ymean" load('timeForAnomalies_1983-2013_ERA-I.mat'); ...
# Normalize the data around the mean and one standard deviation function [xn, mu, sigma] = normalize(x) m = size(x, 2); mu = mean(x, 2); sigma = std(x, 0, 2); xn = (x - repmat(mu, 1, m)) ./ repmat(sigma, 1, m); endfunction
function z = drift(fname,L,method) %DRIFT('FAMILYNAME',Length [m],'METHOD') % creates a new family in the FAMLIST - a structure with fields % FamName family name % Length length[m] % PassMethod name of the function on disk to use for tracking % returns assigned address in the FAMLIST that is uniquely iden...
clc clear all close all J = [0 1]; qi = [0 0.15]; qf = [2.0944 0.3]; T = 10; incr = 0.1; Vr=0.3; Vp=0.02; tf=T; dqi12=[0;0]; dqf12=[0;0]; j=1; for t=0:incr:T for i=1:length(J) if J(i)==0 qi1=qi(1); qf1=qf(1); dqi1=dqi12(1); dqf1=dqf12(1); V=Vr; tb=(qi1-qf1+V*tf)/V; ...
function [maxDD,MDDsIdx,MDDeIdx,longDDD,longDDeIdx] = calcMaxDD(nav) % 潘其超, V.10, from backtest。 % 潘其超,20140710,V2.0 highLevel = nav; for i = 2:length(nav) % 前面一个发生的概率比较大,放在if。 if nav(i)<=highLevel(i-1) highLevel(i) = highLevel(i-1); else highLevel(i)=nav(i); end end drawDown = (hig...
function main a = 0; b = 0.4; n = 5; I = 1.4 * log(1.4) - 0.4; % integral = (x + 1) * log(x + 1) - x r = rectangles(a, b, n); t = trapezium(a, b, n); s = simpson(a, b, n); % max f'' & f'''' at 0 on [0, 0.4] R = [I; r; abs(I - r); abs((b - a) * power((b - a) / (n - 1), 2) * ...
function [led,ts] = cleanBehavior(behavior); i = 1; ct = 0; ct2 = 0; while i <= size(behavior,1) foo = behavior{i}; foo2 = str2num(foo); if ~isempty(foo2) ct = ct+1; ts{ct} = foo; else ct2 = ct2+1; led{ct2} = foo; end; i = i+1; end;
% update the parameters of GBNs for K clusters warning off; addpath(genpath('../bnt')); clear all; close all; clc; load City_Level_UD_Interp_New.mat; load CityInfo.mat; load training_ind_season_new.mat; load ST_candidates_v1_new.mat; load City_Level_Weather_Training.mat mkdir('./Result_one_case'); mkdir('./Result_one_...
function [postParticles] = Estimator(prevPostParticles, sens, act, init) % [postParticles] = Estimator(prevPostParticles, sens, act, init) % % The estimator function. The function will be called in two different % modes: If init==1, the estimator is initialized. If init == 0, the % estimator does an iteration for a sin...
% Часть 1. % Расчёт величин B(k), C(k) и Um(k) и начальной фазы Pci(k) (k=1 - kmax) табл. 5.3 clear echo off kmax=input('kmax - максимальное число используемых гармоник; задайте kmax='); Umm=100; T=0.01; k=1:kmax; Bk=(Umm./(pi.*k)).*(2.*sin(pi.*k./4).^2-cos(3.*pi.*k./2)+cos(2.*pi.*k)) % Здесь забить свои хтонические фо...
function traces = fetchTraces(obj) % function traces = fetchTraces(obj) % % This function organizes traces of the stats stimuli in [cells classes trials] % % MF 2011-08-24 key = fetch(obj); % get traces of all neurons of a site and fps T = Traces(key); if ~isempty(RFFit(key)) T = T.*RFFit(key,['snr >' num2str(k...
function out = Quantizer(m_t, L,mp, mu) b = log2(L) ;%number of bits v = m_t(1,:); v(v == min(v)) = min(v) + 1e-10; if mu == 0 %uniform case m = fix(v*L/mp/2); %scale the voltage to L else v = log10(1+mu*abs(v))/log(1+mu); %mu low m = fix(v*L/mp/2) ; %scale the voltage to L end m = m + L/2 -1 ; out = []; out...
function [im_distort] = distort(img, K1) [height, width, ~] = size(img); S = max(height, width); im_distort = zeros(height, width, 3); for i = 1 : height for j = 1 : width ud = ( 2 * i - height ) / S; vd = ( 2 * j - width ) / S; r2 = ud^2 + vd^2; ...
function plotBasicSeries(signal, fs) % % DESCRIPTION: % A simple helper function used to plot the time series and frequency % domain of a signal % % OUTPUTS: None % % INPUTS: % signal: the time series to be plotted % fs: the sampling rate of the time series signal %...
function drawgeom_ref(Ldomain) %Ldomain unit is nm for nanopore escape exp; defaut value is 14*0.5 [pde_fig,ax]=pdeinit; pdetool('appl_cb',1); set(ax,'DataAspectRatio',[8.2223194748358903 1 32.533333333333353]); set(ax,'PlotBoxAspectRatio',[1 1 1]); set(ax,'XLim',[-0.250 0.25+Ldomain]); set(ax,'YLim',[-0.05 0.05]); set...
%extract officer data from text files clear all filenames %load strfiles array path='C:\Users\Nun Maker\Dropbox\Esher\Alumni\Annual Officer Directories\Annual Officer Directories\All Directories\'; officerinfo = {['Name, Email, Position, Year']};%initialize array for file = strfiles [ output ] = ext...
function drawClusters3d(matrix, labels) %DRAWCLUSTERS crta clustere u 3d figure scatter3(matrix(:,1), matrix(:,2), matrix(:,3), 15, labels, 'filled'); end
function eegcleaned = remove_artifacts(EEGICA) % This is from Laura Froelich, available online at % http://www2.imm.dtu.dk/ lf-fr/publications/indexpub.php. as "example use". % The code was implemented and described in the article % Classification of independent components of EEG into multiple artifact classes. ...
function [ isGood ] = checkFslSetup( ) %checkFslSetup Checks that matlab is setup to execute fsl commands % This function checks for several things that need to be setup for FSL %to work when called from MATLAB % %1) Environment Variables %2) Fsl file in fsldir/bin isGood = true; FSLOUTPUTTYPE = getenv('FSLOUTPUTTYP...
function [wdot] = statesim(t,w) % Hadi Saadat, 1998 % Given the solution of the time-varying matrix Riccati equation found % by the function riccasim, this function solves the state equation in % conjunction with the optimal control equation. global A B Q R t0 tf x0 [A,B,Q,R,t0,tf,x0]=system(A,B,Q,R,t0,tf,x...
% Dataset specs projectName = 'visual'; sub_label = 'som648'; ses_label = 'nyuecog01'; % Input paths specs dataPth = '/Volumes/server/Projects/BAIR/Data/BIDS/'; % Output paths specs dataDir = fullfile(dataPth, projectName, 'derivatives', 'preprocessed', sprintf('sub-%s', sub_label)); %% Load preprocessed da...
% c) N = 10; R = 10000; alfa = 0.1; % Configuration 1: n = 10, S = 100 Mbps % Configuration 2: n = 4, S = 250 Mbps % Configuration 3: n = 1, S = 1000 Mbps n = 4; S = 250; p = 20; W = 400; lambda = [100, 120, 140, 160, 180, 200]; fname = 'movies.txt'; blockingProbHD = zeros(1,length(lambda)); termHD = zeros(1,length(l...
%%本工程文件为Iridium-191原创内容,若有其他用途请联系原作者(B站ID:385867593) fs=44100; dt=1/fs; T16 = 5/24; number=0:dt:T16; [temp k]=size(number); t21 = linspace(0,T16,k); t22 = linspace(T16,1.2*T16,0.2*k); t23 = linspace(1.2*T16,8*T16,6.8*k); t41 = linspace(0,0.5*T16,0.5*k); t42 = linspace(0.5*T16,0.6*T16,0.1*k); t43 = linspace(...
format compact; clc; clear; close all; A=[1 2 5;3 4 8;5 6 10]; B=[1 5 -3;-2 5 45;4 8 6]; A-B %Diferenta a doua matrice A+B %Suma a doua matrice A^-1 %Inversa unei matrice A' %Transpusa unei matrice C=[A;B] %Concatenare %Pentru a folosi si a aparea in CommandWindow o singura operatie puneti ; %la s...
function o = pssetactivelayer(n) %PSSETACTIVELAYER Activate the current layer in the current document. % The return value is the name of the previously selected layer. % % Example: % o = pssetactivelayer('Layer 4') % % See also PSLAYERNAMES, PSNUMLAYERS, PSNEWLAYER, PSNEWLAYERMATRIX % Thomas Ruark, 2/23/...
function [T,calc,debye,deb_ein]=SpecificHeat(DOS,omega,T_D,n,omega0) kb=1.3806488e-23; %m^2kg/(s^2K) hbar=1.05457e-34; %m^2kg/s T=0:3*T_D; %Discrete Model calc=zeros(size(T)); for ppp=1:length(T) calc(ppp)=1/(4*kb*T(ppp)^2)*sum((hbar*omega).^2.*DOS.*csch(hbar*omega/(2*kb*T(ppp))).^2); end %Debye Model debye=zero...
function fs = ExtractSiftDescriptor(im) %EXTRACTSIFTDESCRIPTOR Summary of this function goes here % Detailed explanation goes here w = size(im,1); sc = (w-2)/12; % feature frame with x, y representing centre, scale, and orientation in radians fc = [w/2; w/2; sc; 0]; [fc fs] = vl_sift(im, 'frames', fc); fs = double(f...
function [ y ] = SPLINT( xa,ya,y2a,n,x ) %SPLINT splint % % SUBROUTINE splint(xa,ya,y2a,n,x,y) %------------------------------------------------------------------------------- % INTEGER n % REAL x,y,xa(n),y2a(n),ya(n) % INTEGER k,khi,klo % REAL a,b,h klo=1; khi=n; while khi-klo > 1 k...
function [ clmParams, pdm ] = Load_CLM_params_vid() %LOAD_CLM_PARAMS_WILD Summary of this function goes here % Detailed explanation goes here clmParams.window_size = [21,21; 19,19; 17,17;]; clmParams.numPatchIters = size(clmParams.window_size,1); % the PDM created from Multi-PIE data pdmLoc = ['...
function [SNR] = Performance_check(Receiver_type,w_i,H_i,i,NoiseVar) if Receiver_type ~= 0 i = 1; end w_i=w_i'; SNR_denominator_ai=0;SNR_numerator_ai=0;W_i_denominator=0; a_i= w_i*H_i; SNR_numerator_ai=(abs(a_i(i))).^2; SNR_denominator_ai=sum((abs(a_i)).^2); %Using the numera...
% Name: Zheng Wen % USC ID: 7112807212 % USC Email: zwen1423@usc.edu % Submission Date 1/27/2020 function new_img = Basic(img, r, pattern, a) % pattern = 1: Normal % pattern = 2: Gaussian [m,n]=size(img); new_img=zeros(m,n); panel=zeros(2*r+1, 2*r+1); panel_center=r+1; if pattern==1 for i=1:2*r+1 ...
function [sx,sy,ex,ey]=max_areaRect(M) %% A function which returns the area of maximum rectangle occupied by 1 in a binary matrix,along with the coordinates of the end pointin the matrix. DP=zeros(size(M,1),size(M,2)); r=size(M,1); c=size(M,2); DP(1,1)=M(1,1); A=0; x=0; y=0; l=0; h=0; % For first row for i=2:c i...
function out=decCorrBootstrap(processed_data_mat,nReps) data=processed_data_mat.data; numFlies=length(data); numParameters=size(data,1); avgCorr=zeros(nReps,1); for k=1:nReps simMat=zeros(numParameters,numFlies); for i=1:numFlies for j=1:numParameters index=ceil(rand()*numFlies)...
function [nx, ny, Lx_n, Ly_n, ds] = get_src_params_3D(Lx, Ly, n_src) % helps uniformally distribute n_src sources among an area % of size Lx x Ly % INPUT % Lx,Ly - lengths in hte directions x,y,z of the area, ... % the sources should be placed % n_src - number of sources % OUTPUT % nx,ny - nu...
function [t, y] = Adams(t_0, h, t_n, y_0, A)% t_0 - первый узел, h - шаг, t_n - последний узел, y_0 - начальное условие, A - матрица s = rank(A); t = t_0:h:t_n; y = zeros(s, length(t)); y(:,1) = y_0; [~,y_2] = RK(t_0, h, t_0+h,y_0,A);%использование метода Рунге-Кутты для нахождения y(t_0+h) y(:,...
% Call Syntax: h = HilbertMultiComponentPlot(t,S,IF,A,fs,fMax,STFTparms) % % Description: This function plots a multicomponent AM-FM signal. % % Input Arguments: % Name: t % Type: column vector (Px1) % Description: time index % % Name: S % Type: real matrix (PxK) % Description: each column is the real sign...
function fs = genfs(params,N) % GENFS Generate Fourier series coefficients % % This generates Fourier series coefficients from parameters. % The following signals are supported: % - cosine wave [1 T0 A t0] % - rectangular pulse train [2 T0 A t0 tau] % - triangular pulse train ...
% reference: http://www1.maths.leeds.ac.uk/~jaward/publications/JAW-UTSG-2010.pdf %function [output] = lambda_calc(a_val,b_val,hm_val,params) function [output] = lambda_calc(alpha_model,a,b,hm,params) clear a s alpha v dv h_m b syms a s h_m b v dv ov_fcn = alpha_model*(a*(tanh((s-h_m)/b)+tanh(h_m/b))-v); ...
%------------------------------------------------------------------ % VDP with VS Iteration Initialized with Vlin % Compute an estimate of the region of attraction for the van % der Pol oscillator using the V-S iteration. The iteration is % initialized with the Lyapunov function from linearized analysis. % % 1...
function [ param, muq, sigmaPred, nelbo ] = opperMainGaussFullReparam( y, param, conf ) %OPPERMAINGAUSSFULLREPARAM Summary of this function goes here % This one uses the reparametrization directly % optimizer = 'minFunc'; %% Read first configuration S = conf.S; fwdFunc = @(xx) param.fwdFunc(xx, param.fwd...
% 0. Setting up setup; vidNo = 4; vidPath = '/Users/ihorng/Documents/MATLAB/Oxford/4yp/Bubbles video/bubbleImage'; vidPath = strcat(vidPath,num2str(vidNo)); addpath(vidPath); % adding path where images are %{ % 1A. Get image patch containing 1 bubble Ori = imread('Image47','jpg'); I = Ori([92:126],[166:200]); % 35 x ...
%========================== AnalyseSFMcatch.m ============================= % Collects SFMcatch data from all sessions for a single subject (navigating % the prescribed folder structure) and analyses perceptual report and eye % tracking data for each session, before calculating averaged normalized % perceptual s...
function [ x2index, y2index, slope, keepGoing ] = myNeighbor( row, col, x1index, y1index, selection ) if (selection == 2) selection = 0; %going down elseif (selection == 3) selection = 1; %going up end [limit,~] = size(row); x1 = row(x1index); y1 = col(y1inde...
function plotOneResult_Parameters(ds, numK, numNFFT, attribute, filename) f = figure; X = ds(ds.K == numK & ds.NFFT == numNFFT, :); t_attribute = sprintf('%s_Target', attribute); i_attribute = sprintf('%s_Interference', attribute); iterations = [50, 100, 200, 300]; Y = zeros(4, 4); Z = zeros(4, 4);...
clc; clear A = [ 0 0 1 0 0 1 0 0 0 0; 1 0 1 0 0 0 1 1 0 1; 0 1 0 1 0 0 1 0 0 0; 0 0 0 0 0 0 0 0 0 0; 0 0 1 1 0 1 0 1 1 1; 1 1 1 1 1 0 1 1 0 1; 0 0 0 0 0 0 0 1 0 0; 0 0 0 0 1 0 0 0 0 0; 0 0 0 1 0 0 0 0 0 0; 0 0 0 0 0 1 0 0 0 0]; % adjacency matrix fo...
% A robust CSS corner detector based on the turning angle curvature of image gradients % % Link:https://github.com/bbenligiray/robust-css-corners % % Code used in the following paper: % % C. Topal; K. ?zkan; B. Benligiray; C. Akinlar, "A robust CSS corner detector based on the turning angle curvature of image ...
% MATH411 Q3 (b) % 9/06/21 %% Introduction % This script coordinates the main function, which solves Burgers' equation % for varying grid sizes and varying diffusion parameters. They're arranged % in a script like this, because Miguel has said that they can take up to % 12 hours to run. %% Returning Matlab t...
function [xc,yc,Amp,wx,wy]=gauss2dellipse(z,x,y,noiselevel) %[xc,yc,Amp,wx,wy]=gauss2dellipse(z,x,y,noiselevel) % %GAUSS2DCIRC.m attempts to find the best 2D circular Gaussian fit for the %selected region of the image. % %Copyright 2008 Stephen M. Anthony, U. Illinois Urbana-Champaign % %This program is free software...
clear all close all clc rosshutdown rosinit liveplot = false; figure kkt_sub = rossubscriber('/MPC/kkt'); time_sub = rossubscriber('/MPC/solvertime'); disp('Start tracker') kkt_data(1) = receive(kkt_sub,100); time_data(1) = time_sub.LatestMessage; kkt_mpc_data(1) = kkt_data(1).Data; time_mpc_data(1) = time_data(...
addpath('ccnl-fmri'); addpath('/Applications/bspmview-pimpd-master/'); addpath('/Applications/spm12/'); %addpath('/Users/hayley/Dropbox (Personal)/Studies/OptControl/UCR_fMRI/analyses/comp_model/')
function[circ_M_opToep,circ] = circ_2_level(circ_L_opToep,L,M,N) circ = cell(L,M); for i_loop=1:L A(:,:) = squeeze(circ_L_opToep(i_loop,:,:,1)); clear c % Now construct circulant approximation c = zeros(M,N); for i=2:M c(i,:) = (M+1-i)/M.*A(i,:)+(i-1)/M.*A(M-i+2,:); end ...
% Codigo para imprimir un triangulo fprintf('\ntriangulo\n\n') for k=1:7 for l=1:k fprintf('*') end; fprintf('\n') end
function Rlim= fRlimite(n,coef) menordif=fmenordif(n,coef); Rlim1=0.1*menordif; %0.1*min(diferenças entre a(i)) if (Rlim1<eps)Rlim1=0.1; end %se Rlim1 é nulo => Rlim1=0.1 Ndecimais=fNdecimais(n,coef); %numero maximo de digitos decimais fracionarios nos coeficientes Rlim2=1./10^Ndecimais; % Limite equivalente ao ma...
%% Main file to use for a single call of the tool % This tool computes an interval over-approximation of the finite-time % reachable set for a continuous-time system dx/dt = f(t,x,p) or % discrete-time system x^+ = f(t,x,p) with input p, based on the intervals % of initial states and of input values. % Authors: % ...
function date_vector = convert_timestamp_to_date(timestamp,time_interval) if ~exist('time_interval','var') time_interval = 1; end timestamp = timestamp*time_interval; current_year = get_year_given_seconds(timestamp); days_passed_since_beginning_of_2007 = floor(floor(timestamp/3600)/24); days_passed_since_beggini...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%% global record_count1 record_count2 record_count3 record_dat1 record_dat2 record_dat3; global record_angle; global save_file; global handles_ana; % % % save_file_name = get(handles_ana.edit_savepath, 'string'); % % % % %...
%function plot_power_grid(subj,block,power) clear subj = 'EC77'; %blocks = {'B11', 'B12', 'B13'}; %blocks = {'B31', 'B33', 'B34'}; %blocks = {'B11', 'B12', 'B13', 'B31', 'B33', 'B34'}; blocks = {'B26','B27','B28'}; day = 'Day1'; power = 1; srate = 400; path = ['/Users/johncase/Documents/UCSF Data/' subj '/' day '/']; ...
function par=parity(Fmn) hascos=any(abs(Fmn.c(find(not(isnan(Fmn.c)))))>10*eps); hassin=any(abs(Fmn.s(find(not(isnan(Fmn.s)))))>10*eps); if hascos && not(hassin) par='cos'; elseif not(hascos) && hassin par='sin'; else par='both'; end
function CreateParameters_cluster(ImagePath, ImageName, mode) %yl09012017: create parameters for CurveAlignFE_cluster.m % Input: % ImagePath: image directory % ImageName: name of the image % mode: 1: CT-FIRE; 2: CurveAlign full image analysis, 3: CurveAlign ROI analysis % Output: % saved in a txt file if ...
clear all close all clc setenv('TTKERNEL', 'X:\Bureau\tp3\fichiers_donnees\Fichiers necessaires\truetime-2.0-beta7\kernel') addpath([getenv('TTKERNEL')]) addpath([getenv('TTKERNEL') '/matlab/help']) addpath([getenv('TTKERNEL') '/matlab']) truetime mex -setup % make_truetime %pour la compilation de la librairie tr...
% testing script for the SIMPLE algorithm % load the example data load example-data.mat obs truth % fusion settings num_iter_keep = 3; SIMPLEalpha = 2; % run the SIMPLE algorithm [SI_est_1] = SIMPLE(obs, num_iter_keep, SIMPLEalpha); [SI_est_2] = SIMPLE(obs, num_iter_keep, SIMPLEalpha, 0); [SI_est_3] = SIMPLE(obs, nu...
cd /Users/syen/Documents/Work/Data/Neural/Cat/a4/site05/session25 g25 = ProcessSession(nptdata,'UnitType','s') ng25 = ProcessSession(nptgroup,'IntraGroup','Cells',g25.SessionDirs,'AnalysisLevel','AllIntraGroup'); g25intra = ProcessSession(nptdata,'AnalysisLevel','pairs','Intragroup','Cells',g25.SessionDirs); cd ../sess...
%%%%%%%%%% plot discount curve %%%%%%%%%% load('EONIA'); i = 500; Act_365 = 3; % plot discount curve figure plot(EONIA(i).Dates, EONIA(i).DiscountFactors, 'ob-',... 'linewidth',1.3,... 'markersize',5); grid on h = legend('$B(t_0,t_i)$'); title('Discount factors curve'); datetick('x','mm/yy','k...
function valid_quats = extract_quaternion_debug(TBI,q0123i) %%%Assuming T is a 3x3 matrix, extract the quaternion vector (q0,q1,q2,q3) %%%assuming a 3-2-1 transformation sequence %%%Let T be defined such that v(body) = T v(inertial) %%In Mark Costello's notation, T would TBI TIB = TBI'; q0i = q0123i(1); q1i = q0123i(2...
%% % Round 2! % This is a rather complex NN for MNIST digit Recognition. clear; clc; digitDatasetPath = fullfile(matlabroot,'toolbox','nnet','nndemos', ... 'nndatasets','DigitDataset'); imds = imageDatastore(digitDatasetPath, ... 'IncludeSubfolders',true,'LabelSource','foldernames'); figure; perm = randperm(1...
function varargout = B2orientacion1(varargin) % B2ORIENTACION1 MATLAB code for B2orientacion1.fig % B2ORIENTACION1, by itself, creates a new B2ORIENTACION1 or raises the existing % singleton*. % % H = B2ORIENTACION1 returns the handle to a new B2ORIENTACION1 or the handle to % the existing singleto...
function e = eig(a) % eig Eigenvalues of FAVAR model. % % Syntax % ======= % % E = eig(A) % % Input arguments % ================ % % * `A` [ FAVAR ] - FAVAR object. % % Output arguments % ================= % % * `E` [ numeric ] - Eigenvalues associated with the dynamic system of the % FAVAR model....
function [sssPMO] = pmo(price,sPeriod,fPeriod,sigPeriod) % Price Momentum Oscillator, PMO %http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:dppmo %two times EMA of ROC %PMO = 20 EMA (10 * 35 EMA(((Today's Price/Yesterday's Price)*100)-100)) %Signal Line: 10 period EMA of PMO %example :...
k = 0; trainSet = []; % Matrix centroidMat = zeros(size(trainSet,1),k); distanceMat = zeros(k,size(trainSet,2)); assignments_new = zeros(1,size(trainSet,2)); s = false; % randomly selecting centroids for i = 1:k x = randi(1:length(trainSet)); centroidMat(:,i) = trainSet(:,x); end while s == f...
function ShiftedAndRotated % checked % p 打乱维度 % s 分组集合数量 % M_10, M_30, M_50, M_100 不同分组对应的旋转矩阵 % w 不同分组对应的权重 % o 位移 Ast = RandStream('mt19937ar', 'Seed', 3); RandStream.setGlobalStream(Ast); for func_num = 1 : 12 if func_num == 10 D = 900; else D = 1000; end [lb, ub] = GetBounds(func_n...
function dydt = int_fire_lin(t , y) global net % setting parameters if ischar(net.Neurons.Model.ModelParam) switch net.Neurons.Model.ModelParam case 'def' tau_m = 10; C = 1; R = 10; end else C = net.Neurons.Model.ModelParam(: ...
function accum = pelican_accumulator(accum,m,i,A,N,status) % This accumulator function creates a single ping-averaged transect struct % using all data. npings = 30; dt = npings*(max(A.mtime)-min(A.mtime))/length(A.mtime); be.t = A.mtime(1):dt:(A.mtime(end) + dt/2); [~,bn.t] = histc(A.mtime,be.t); T.time = be.t(1...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % AGREE TEST KINEMATICS % %-------------------------------------------------------------------------% % Author: Stefano Dalla Gasperina % % Email: stefano...
classdef GSM_Complex_NonCent_NWarp < GSM_Complex_NonCent & iNWarp %GSM_Complex_NonCent_NWarp Summary of this class goes here % Detailed explanation goes here methods function obj = GSM_Complex_NonCent_NWarp(ann) obj@GSM_Complex_NonCent(ann); [obj.sim_basis,obj.pc,obj.ev] = obj.OrthonormalizeB...
%% Clustering load clusterData.mat %% Density-Based Clustering eps = 14; minPts = 3; model = clusterDBcluster(X,eps,minPts); title('Densty-Based clustering');
function xs = integNumericaPreencheXS (xl, xu, npontos) % x1 = Ponto Inicial % xu = Ponto Final % xs = arrei do tipi (n,1) com os interva-los %objetivo preenche XS com os dados e retona a qtd de pontos em XS distH = abs((xu-xl))/(npontos+1); ixs=1; nvet=0; valxs=xl; nvet = npontos + 2; while (ixs <= nvet)...
function plot_RTregression_v1(ax, sub, RTmin, RTmax) global AZred AZblue for sn = 1:length(sub) % say 1 is left dR = sub(sn).o1(:,4) - sub(sn).o2(:,4); dI = -(sub(sn).n1(:,4) - sub(sn).n2(:,4))/2; c = sub(sn).a(:,5); c(c==2) = -1; RT = sub(sn).RT(:,5); RT(RT>RTmax) = nan; RT(RT<RTmin) ...
function show_state_estimated(X, Y_k) X_mean = mean(X, 2); figure(1) image(Y_k) title('+++ Showing mean value +++') hold on plot(X_mean(2,:), X_mean(1,:), 'h', 'MarkerSize', 16, 'MarkerEdgeColor', 'y', 'MarkerFaceColor', 'y') hold off drawnow
% 交叉操作函数 %输入: %SelCh 被选择的个体 %Pc 交叉概率 %输出: %SelCh 交叉后的个体 function SelCh=PMX_combin(SelCh,Pc) NSel=size(SelCh,1); for i=1:2:NSel-mod(NSel,2) if Pc>=rand %交叉概率Pc [SelCh(i,:),SelCh(i+1,:)]=pmxcross(SelCh(i,:),SelCh(i+1,:)); end end
clear all close all clc %% Windows: first try f=510; N=512; Fs=10000; n=(0:N-1)/Fs; x=exp(1i*2*pi*f*n); x=x.'; w=window(@bartlett,50); w(N)=0; xw=x.*w; X=fft(x,N); W=fft(w,N); XW=fft(xw,N); F=linspace(0,Fs,N); figure; subplot(3,1,1) plot(n,real(x)); xlabel('n'); ylabel('x(n)'); title('Signal'); subplot(3,1,2) plot(...
function [lfp,lfpTime] = getLFP(varargin) p = inputParser; p.addParameter('filename',[],@ischar); p.addParameter('foldername',[],@ischar); p.addParameter('fs',20000,@isnumeric); p.addParameter('savePrefix','',@isstr); p.addParameter('saveit',1,@isnumeric); p.parse(varargin{:}); %% filename = p.Results.filename; fol...
parfor i = 1:test_ds.n_data % fit image ann = f.Reconstruct(test_ds.data{i}.ann); rann(:,:,:,i) = ann(:,:,:,end); end
% Function for Root Raised Cosin Filter % span=20; % sps=10; % % beta=0.35; function [p,t,filtDelay] = srrcFunction(beta,sps,span) Tsym=1; t=-((span)/2):1/sps:((span)/2); num=sin((pi*t*(1-beta))/Tsym)+((4*beta*t/Tsym).*cos(pi*t*(1+beta)/Tsym)); den = (pi*t).*(1-(4*beta*t/Tsym).^2)/Tsym; p=1/(sqrt(Tsym))*(num./den); p(c...
function [name sweep num_spikes AP_max AP_amplitude AP_width] = calculate_spike_ephys_properties(Cell) %Find the number of spikes per sweeps for spikes generated by current injection in the first 3 minutes for i=1:length(Cell.commands(1,:)) if max(Cell.commands(:,i)) > 0 &&... Cell.sweep_time(i)- Cel...
function Xs=RegulaRoot(Fun,a,b,ErrMax) fail=0;%초기값 if Fun(a)*Fun(b)>0 disp('Error'); else Xs=((a*Fun(b))-(b*Fun(a)))/(Fun(b)-Fun(a)); for i=1:100%문제에서 100을 주라했다 if Fun(a)*Fun(Xs) <0 b=Xs; else a=Xs; ...
%% initialization % old one impulseName = 'wav/semBigCenterImp.wav'; respName = 'wav/semBigCenterResp.wav'; %impulseName = 'wav/semBigCenterImp2.wav'; %respName = 'wav/semBigCenterResp2.wav'; scaleAmplitude = 200; % mode analysis nbins = 2048; % stft analysis half bandwidth, bins nskip = 32; % stft hop size, sa...
% Taken From ----- https://www.mathworks.com/matlabcentral/fileexchange/51047-shear-force-bending-moment %% SFBM function [ShearF, BendM] = ShearForceBendingMoment( varargin) %SFBM calculates the shear force and bending moment, plot the diagram and %computes the equations of the lines. global Name nc...
%% close all; clear all; first_ring(1:30,1:30) = 0; second_ring(1:30,1:30) = 0; first_ring(4,5) = 1; first_ring(5,4) = 1; first_ring(5,6) = 1; first_ring(6,5) = 1; first_ring = awgn(first_ring,.01,'measured'); second_ring(10,10) = 1; second_ring(11,11) = 1; second_ring(12,12) = 1; second_ring(13,13) = 1; second...
#!/usr/bin/octave -qf pkg load communications; addpath( 'sim', 'modell', 'common'); global c B fc T gam M N v_max v_res r_max r_res pt g k t_noise fb_max Noise_re_vect Noise_re_matr Noise_im_vect Noise_im_matr; const; argv1 = argv(){1}; r_max_exp= 256; r_res_exp= 1; v_max_exp= 128...
function p=para1(alpha,T,k,j,r) p= -r/gamma(2-alpha);