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function init_prob_switch global exp; %% Configure Cogent exp.numb_of_buffers = 15; % Add cogent to the path addpath(genpath('C:\Users\maria\Dropbox\NSFSLCN\Tasks\butterflytask\Cogent2000v1.32')) addpath(genpath('C:\Cogent2000v1.33')); % Configure display & keyboard config_display(1, 3, [1 1 1], [0 0 0], 'Helvetica',...
function [fsig,fitx,y,itd_thresh,beta,MSE] = fitSigmoid(x,y,DPT,pflg) %This function fits a sigmoid through a set of anchor points [x,y], and %returns a threshold corresponding to DPT %x: should be in units of log(ITD), ex. x = log([10 20 40 80 160 320]) %y: the corresponding d-prime estimate for x %DPT: target d-pri...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Train an adaptive LDA % % Inputs: data, - Training data arranged in columns % target - Target classes arranged in columns % (assumes targets are in range 1:nClasses) % Outputs: alda.dataMean ...
x = -2:0.01:2; y = -2:0.01:2; r = zeros(length(x),length(y)); %BDF3 Values: %a = [1 -18/11 9/11 -2/11]; %b = [6/11 0 0 0]; %s = 3; %AB3 Values %b = [0 23/12 -4/3 5/12]; %a = [1 -1 0 0]; %s = 3; %AB4 values b = [0 55/24 -59/24 37/24 -3/8]; a = [1 -1 0 0 0]; s = 4; ...
function afm = loadafm(fnam) % LOADAFM -- Load a Quesant AFM file into MATLAB % Based (loosely) on quesant.c from Gwyddion source code. % example: % [Z,R] = loadspe('data.spe'); % imagesc(Z) % Fileinfo structure from Gwyddion: %typedef struct { % guint32 desc_offset; // offset of description (unused) % ...
function visualizeCellVectorsRadial2D(phi_cell) %VISUALIZECELLS plots the values of cell variable phi % % SYNOPSIS: % visualizeGradsRadial2D(phi) % % PARAMETERS: % phi_cell: A CellVector variable % % RETURNS: % None % % EXAMPLE: % % SEE ALSO: % % Written by Ali A. Eftekhari % See the license file % phi_cell=gradie...
function [xi,w] = univariateTrapezoidalRule(l) % abscissas and weights for the nested open trapezoidal rule, I=[-1,1] % the weight is normalized (probability measure) % l is the quadrature level wRef = [0.5 0.5]; xiRef = [1/3 2/3]; tau = @(x,l,i) 2^(1-l)*(x+i); n = 2^l; if n == 1 % midpointrule for the first Le...
%rot_x %generates rotation matrix about x axis %Scott Barnes %MAe 3184 function R = rot_x(theta) R = [1 0 0; 0 cos(theta) -sin(theta); 0 sin(theta) cos(theta)]; end
function p = getParams(p) % Two-dimensional turbulence p.nVars = 1; % Domain wave number k1 = 2*pi/p.Lx; l1 = 2*pi/p.Ly; % x-grid from 0 to L-dx, centered on L/2. dx = p.Lx/p.nx; p.xx = 0:dx:p.Lx-dx; p.xx=p.xx-p.Lx/2; p.dx = p.xx(2)-p.xx(1); dy = p.Ly/p.ny; p.yy = (0:...
% Jing Guo, UFL function [Ektp xp vp Ne_bias,Id, jS, jD, Emesh]=mc(XI,E1,Vd_bias); %%%%%% Numerical specification, inpute Em in the node grid, but output Ne, %%%%%% Fn on the element grid global q kBT global vF Egh1 % global set by inp_mc.m global n t_step qsup Ntran Nstdy Degflag Balflag % MC simulation parameter...
%% Measument of Distance from Direct and Reverberant Energy % Audio files should be saved in "audio" folder, and named "d_room_trial.m4a", where d % is the source distance in meters, room is the room ID, and trial is the trial number. close all; clear all; clc; %% Create variables len = 44100*.8; %Total length pre...
function [theta, delta] = dcbm_theta_update_cham_pock(d,tau,varargin) %function [theta, delta] = dcbm_theta_update_cham_pock(d,tau,alpha,r,sig,VERBOSE) parser = inputParser; parser.KeepUnmatched = true; addOptional(parser,'alpha',1) addOptional(parser,'r',1) addOptional(parser,'sig',1) addOptional(parser,'VERBOSE',0) ...
%%% Creates the load vector used in FEM %%% Code obtained from instructions to Lab1 in the %%% course "Applied Finite Element methods" @ Uppsala University function B=load_vect(x,RHS) N = length(x); B = zeros(N, 1); for i = 1:N-1 h = x(i+1) - x(i); n = [i i+1]; B(n) = B(n) + [RHS(i); RHS(i+1)]*h/...
% Format existing plot and write out: function [] = WriteImg(Img, Name, Lims, Scale, ColourBar) disp('Starting WriteImg...'); if CountEnv({'OutDir'}) < 1; disp('Missing environment variables'); return end % Scale: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%...
clear all clc % Plot of spatial concentration neurotransmitters after different time Nx = 10; Nt = 200; x = linspace(0,1,Nx); xx = linspace(0,1,Nx*10); fileID = fopen('ExplForwEuler.dat','r'); sol_EFE = fscanf(fileID,'%f %f',[Nt Nx])'; fclose(fileID); fileID = fopen('ImplBackEuler.dat','r'); sol_IBE = fscanf(file...
%% System Numeric State-Space Model % ######################################################################## % Calculate numeric state matrix of a multi-inverter system % Input: % - [obj] inverter parameter % - [obj] control parameter % - [obj] grid parameter % Output: % - [obj] state-space ...
function signals = dsp__generate_fake_data(signals) tests.window = 21; % t = 0; tests.f = 1e2; tests.fs = 1e3; tests.time = 1:length(signals.data{1}); tests.sine = 3 .* sin(2 * pi * tests.f/tests.fs * tests.time); tests.noise_amplitude = 1.5; tests.modified_data = signals.data(:,tests.window); for i = 1:numel(test...
clear load pretest.mat fs = 30; shift = 0.2; t = ((1:24)/fs)'+shift; xx = tall_pretest(:,4) == 0;tall_pretest(xx,4) = 2; idx1 = ~isnan(tall_pretest(:,4)) & (tall_pretest(:,4) == tall_pretest(:,2)); idx2 = ~isnan(tall_pretest(:,4)) & (tall_pretest(:,4) ~= tall_pretest(:,2)); tall_pretest(idx1,4) = 1; tall_pretest(idx2...
function result = avoidcopies_operators % AVOIDCOPIES_OPERATORS % Compares the time of code segment 1, which does not use in-place function calling, to % the time for code segment 2, which does. It returns a structure with the % fields: % % timeSegment1= time for code segment 1 % timeSegment2= time for code ...
home = pwd; if ispc % setup the path addpath( strcat( home, '\turboUtils'), ... strcat( home, '\turboUtils\freeDistance' ), ... strcat( home, '\turboUtils\EXIT' )); else % setup the path addpath( strcat( home, '/turboUtils'), ... strcat( home, '/turboUtils/freeDistance' ),...
% RANSAC - Robustly fits a model to data with the RANSAC algorithm % % Usage: % % [M, inliers] = ransac(x, fittingfn, distfn, degenfn s, t, feedback, ... % maxDataTrials, maxTrials) % % Arguments: % x - Data sets to which we are seeking to fit a model M % It is assumed ...
function num = SngBinToNum(bit) %num = s.*2.^(c-127).*(1+f) %find the number is positive or negative if bit(1)==0 s = 1; else s = -1; end c = 0; for i=2:1:9 c = c + bit(i).*(2.^(9-i)); end f = 0; for i=10:1:32 f = f + bit(i).*((1./2).^(i-9)); e...
function RHOHAT = mc(rho0, sigma2, T, B) % stephane.adjemian@univ-lemans.fr, 2014 RHOHAT = NaN(B,1); for i=1:B y = simulate_ar1(T, rho0, sigma2); RHOHAT(i) = estimate_ar1(y); end
function output = evalGalPathway_GAL234( param, trait, G2level, G3level, G4level, fit_type ) % this function is modified from 'evalGalPathway' % it's called by 'mcmc_for_GAL234' and 'param_fitting_plot_GAL234' % the function calculates the objective function value of GAL1, GAL3, GAL4 % separately, then sum up them toge...
% The MIT License (MIT) % % Copyright (c) 2016 Paul Watkins, National Institutes of Health / NINDS % % 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 wit...
% This program tests heading discrimination for flow fields made of % plaids. The envelopes are stationary, the patterns move. We're using % up/down staircases to find observers' subjective forwards. Start % values are randomly selected from the range of legal values. % % % DMG % Last Edited: 04/07/2015 clear all;clos...
%% Load/build whisking structures data_directory = 'C:\Users\jacheung\Dropbox\LocationCode\DataStructs\'; load([data_directory 'excitatory_clean.mat']); feature_list = {'angle','phase','midpoint','amplitude','velocity'}; whisk_struct = CompileWStruct(data_directory, feature_list); %% Main Figures 2 % Figure 2A: whiski...
function mb_newton(searchMode, mode, n) fprintf(['\n N = ' num2str(n) '\n' ... 'Using ' mode ' method update\n'... 'Using ' searchMode ' method update\n']); epslon = 20; x = zeros(n, 1); X = sym('x', [n, 1]); func = target(n, X); dFunc = jacobian(func, X); objFunc = @(x) target(n, x); objFuncVal...
clear % sva=importdata('/home/ywh/work2/git/emc2/build/tests/motion_test/sva.txt'); % figure (1); % plot(sva(:,1),sva(:,2),'-r'); % hold on; % plot(sva(:,1),sva(:,3),'-k'); % hold on; % plot(sva(:,1),sva(:,4),'-b'); % hold on; % plot(sva(:,1),sva(:,5),'-g'); % hold on; % grid on; pose=importdata('/home/ywh/work2/git/e...
% Dark frame calibration darkcal = 'DARK10M.mat' darkdata = load(darkcal); % Light frame calibration lightcal = 'LIGHT10M.mat' lightdata = load(lightcal); norms = cellfun(@minus,darkdata.frame, lightdata.frame, 'UniformOutput', false); % assume data is stored in variable frames, a 1D vector of cell arrays, % each entr...
function [X,normXweights,original_order] = outnormalizeDataX(X,normXweights,options); %function [X,normXweights,original_order] = outnormalizeDataX(X,normXweights,options); if nargin>1 default_options.useExternalWeights = ~isempty(normXweights); else default_options.useExternalWeights = 0; end defa...
load evals50.mat d1 = D; load evals100.mat d2 = D; plot(real(d1),imag(d1),'o',real(d2),imag(d2),'*','LineWidth',1.5) legend('50x50','100x100') grid on xlabel('real(\lambda)','FontSize',14) ylabel('imag(\lambda)') set(gca,'FontSize',16)
function [U,Ud,data] = linear_elasticity(V,F,b,bc,varargin) % LINEAR_ELASTICITY Compute the deformation of a 2D solid object according to % a linear model of elasticity, assuming a linear isotropic material. % % U = linear_elasticity(V,F,b,bc) % [U,Ud,K] = linear_elasticity(V,F,b,bc,'ParameterName',Parameter...
function score=MDPPI(x,dim,numit,weighted) % MDPPI Multi-dimensional PPI % % Input: x: [d,N] input data set containing N points of dimension d % dim: positive integer, dimensionality of the projections % numit: positive integer, number of iterations % weighted: logical. Indic...
function ofdmSeq = ofdm_mod(qamSeq, qamNo, cpr) P = length(qamSeq)/qamNo; % cfr. figure 2: M-ary QAM OFDM frames and packet % frame: 0 QAM_i 0 QAM_i* % Explain the necessity of the `mirror operation' in each frame from a signal processing point of view. % The mirror operation insures that when the IDFT is applied to...
% Aug_GARCH_1_1_calibration.m %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Code: GARCH_1_1_calibration.m % % Student Name: Jonathan Nolan % % Student Number: 16071514 % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function op_params = GARCH_1_1_cali...
%%% START PROGRAM %%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Clear Workspace variables clear; % Enter debugging mode if an error occurs %dbstop if error %dbclear all % Determine Operating System c = computer(); % Add paths switch computer case 'GLNXA64' %Linux addpa...
% pSetModelSpecificCutoffs sets model-specific cutoffs using data from alignments and randomly-generated data % Each sequence is represented by a structured variable whose fields are: % .Deficit % .CoreEdit % .FullEdit % .Conserved % .NumInstances % .MLPS % .Length % .Source = 1 for alignment, = 2 for random but wh...
function [e, varargout] = neterr(w, net, x, t) %NETERR Evaluate network error function for generic optimizers errstr = [net.type, 'err']; net = netunpak(net, w); [s{1:nargout}] = feval(errstr, net, x, t); e = s{1}; if nargout > 1 for i = 2:nargout varargout{i-1} = s{i}; end end
function prob = P_1(i, m,lambda ,T) prob=0 ; for k = 1:i prob = prob +(1/(m-k)) /SumNormalize(0,m-1,lambda,tmStar(m,lambda,T)) * exp( -lambda* tmStar(m,lambda,T) ) * ( lambda* tmStar(m,lambda,T) )^(m-k-1) /factx(m-k-1) ; end end %prob = prob + (1/(k))*exp( -lambda * tmStar(m,lambda,T) ) * (lambda*...
classdef LinearTransformationBase < handle & matlab.mixin.Copyable %TRAJECTORY Encapsulates trajectory functionality % Detailed explanation goes here properties % The matrix form of the transformation % Dependant on the other data members and updated through % updateTransforma...
clearvars; close all; OriginalImg = imread('Original.png'); % Original.png 영상 읽기 figure('Name','Original image','NumberTitle','off'), imshow(OriginalImg); % Original 영상 보여주기 InputImg = imread('Input.png'); % input.png 영상 읽기 figure('Name','...
function varargout = VScope_start(varargin) % VSCOPE_START M-file for VScope_start.fig % VSCOPE_START, by itself, creates a new VSCOPE_START or raises the existing % singleton*. % % H = VSCOPE_START returns the handle to a new VSCOPE_START or the handle to % the existing singleton*. % % ...
% Reads 3 Numbers a, b, and c, and prints c only if c is within a and b a = input('Enter integer a.'); b = input('Enter integer b.'); c = input('Enter integer c.'); if ( a > c & b < c) fprintf('The number %d is within %d and %d.', c, a, b) else fprintf('Error: c is not within a and b. Please try agai...
% Copyright (c) 2012, Michael Mallon % All rights reserved. % Redistribution and use in source and binary forms, with or without modification, % are permitted provided that the following conditions are met: % Redistributions of source code must retain the above copyright notice, this list % of conditions and t...
function [Z_global,X_global] = PSO(omega,alpha,beta,xmin,xmax,ymin,ymax,itermax,N_part,fonction) %UNTITLED Summary of this function goes here % Detailed explanation goes here X = xmin + (xmax-xmin).*rand(2,N_part); VX = zeros(2,N_part); X_local = X; X_global = X(:,1); scatter(X_local(1,:),X_local(2,:)); xlim([xmi...
%DigImg Final Project %04-26-2020 %Joshua Snider %Use result from detectTennisBall to getBallCenter and return that point. function dataPoint = getBallCenter(bwImg) %test img passed in is binary, assume true binaryCheck=1; for y=1:size(bwImg,1) for x=1:size(bwImg,2) if (bw...
[x,fs]= audioread('sample.wav'); x = mean(x, 2); % mono x = x/max(abs(x)); x_hf=filter([1 -0.9375],1,x); [A,G,Err]= my_encode(x_hf,fs,48); F=pitchdetect(Err,G); %F = zeros(size(F)); est_x=decode(A,[G F], fs,0/(fs)); f = fcombine(F,fs); %est_x=filter(1,[1 -0.9375],est_x); est_x = est_x/max(abs(est_x)); esxf = fft(est_...
%% LineMesh_p1.m % REFERENCE: http://www.cs.rpi.edu/~flaherje/FEM/index4.html % REFERENCE: http://www.math.chalmers.se/~mohammad/teaching/PDEbok/draft_FEM_version4.pdf xmin = 0; xmax = 1; N = 5; xvals = linspace(xmin, xmax, N+1); verts = zeros(N+1,1); for i=1:N+1 % How do we create a list of vertex points? ver...
% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - % - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - clc;close;clear addpath([pwd,'/utility/']) load('data.mat') whos % Name Size Bytes Class Attributes % alphas ...
function IRC = Construct_IRC() %CONSTRUCT_IRC Summary of this function goes here % Detailed explanation goes here IRC.turn_rps = 0; % turning velocity rad/s IRC.motor_power = 0; % related to STO button SA IRC.step_time = 0; IRC.ds = 0; IRC.Vx_tgd = 0; IRC.Vy_tgd_avg = 0; IRC.H = 0; IRC.desired_com2stToe_lateral = 0...
% This class creates and manages axes insets, which are useful for % highlighting details in a plot. % % Insets are generated from a bounded region of a source axes. A rectangle % is drawn on the source axes to indicate the inset bounds, and all % graphical content in these bounds is reproduced in a separte (inset) ax...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Elad Gilboa % 2013 % % gpr_cov_grid_predict_parallel() % % Fast perallel prediction for GP-grid by using alpha which is the vector % equivalence of (K^-1)y calculated by gpr_cov_grid_dn % % Usage: [mu_f, std_f] = gpr_cov_grid_predict...
function [vf, vdot] = diffEst_adrc(t, v,r,dlt_r) % ================================================ % differential estimation algorithm based on Active Disturbance Rejection % Control Technique (ADRC) developed by Jing-Qing Han (2008) % <<自抗干扰控制技术-估计补偿不确定因素的控制技术>> % Jing-Qing Han, Active Disturbance Rejectio...
function [f, gradients] = jacobian_convtriangle_attachment(p, tangent_gradient, gradients, mode) D = length(p); switch mode case 'v' v1 = tangent_gradient.v1; v2 = tangent_gradient.v2; v3 = tangent_gradient.v3; case 'u' v1 = tangent_gradient.u1; v2 = tangent_gradient.u2...
%make movie clear all; screen_all = []; warning('off','all') load mean_Neo0 screen_all = [screen_all; mean_Neo0]; load mean_Neo1 screen_all = [screen_all; mean_Neo1]; load mean_Neo2 screen_all = [screen_all; mean_Neo2]; load mean_Neo3 screen_all = [screen_all; mean_Neo3]; load mean_Neo4 screen_all = [screen_all; mean_N...
function h = dsfig(f) % DSFIG Creates or switches to a figure window. % % function dsfig(f) % % Creates or switches to a figure window. When switching to an % existing figure window, prevents that window taking the focus. % If given a string, finds the figure with that name. % If none exists, creates a figure with ...
% %FE_BOUNDARY Solver % UI - 12x1 - column of u and it's derivatives % nvx and nvy - components of normal vector at chosen region % Ca, Cb - elastic moduli tensor % rho(i+ii,j+jj),rho(i,j) - densities A0ove and below the interface % dx,dz - grid step % eta0x, eta1x -sum=1, show where interface intersects vertical grid ...
% written by professor Jay McClelland function [] = initParamsEtc( ) % global p d a p.wf = .15; % p.handTime = 5; % the amount of time needed to move hand p.eyeTime = 1; % the amount of time needed to move eye p.learner = 1; % p.lrate = .1; % alpha p.runs = 4096; % epochs p.gamma ...
function H = GLPfilter(D0,P,Q) %GLPfilter 高斯低通滤波器 % 此处显示详细说明 H = zeros(P,Q); for i=1:1:P for j=1:1:Q d=((i-P/2)^2+(j-Q/2)^2)^(0.5); H(i,j)=exp(-d^2/2/D0/D0); end end end
% book : Signals and Systems Laboratory with MATLAB % authors : Alex Palamides & Anastasia Veloni % % % % Step response of discrete time system % H(z)=(0.1z-0.1)/(z^2-1.5z+0.7) num=[.1 .1]; den=[1 -1.5 0.7]; dimpulse(num,den) figure h=dimpulse(num,den); stairs(0:length(h)-1,h) legend('Impulse r...
%% Estimate grid spacing % Matlab Colony Analyzer Toolkit % Gordon Bean, December 2012 % % Estimate the grid spacing from an plate image % % Future improvements(?) under construction. Hard hats recommended. function win = estimate_grid_spacing( plate, varargin ) params = default_param( varargin, ... 'bo...
resolution_steps = 10; max_N = 100000; D = 500; n_k_1 = 100; n_k_2 = 1000; ssc_exact = zeros(resolution_steps + 1, 1); ssc_relaxed = zeros(resolution_steps + 1, 1); kssc_exact_1 = zeros(resolution_steps + 1, 1); kssc_relaxed_1 = zeros(resolution_steps + 1, 1); kssc_exact_2 = zeros(resolution_steps + 1, 1); kssc_rel...
function [ M_integer, nRegionsFinest, M_estimate, nRegions, totalRegions ] = find_num_levels_suggested( NUM_DATA_POINTS_n, NUM_KNOTS_r, NUM_PARTITIONS_J ) %% FIND_NUM_LEVELS_SUGGESTED is a stand-alone function that estimates number of levels % Finds the number of levels for a given number of observations, number % ...
function [residual, g1, g2, g3] = BC_19March2019_RBC_with_K_N_dynamic(y, x, params, steady_state, it_) % % Status : Computes dynamic model for Dynare % % Inputs : % y [#dynamic variables by 1] double vector of endogenous variables in the order stored % in M_....
clear W = 133; n = 256; m = 31; esp = 0.11; eps_d = 0.06; bw = chebwin(W-m+1,100); shift = @(x) [zeros(x,W-x),eye(x);eye(W-x),zeros(W-x,x)]; BW = zeros(W,m); BW((m+1)/2:(m+1)/2+W-m,1) = bw; for i = 1:(m-1)/2 BW(:,2*i) = BW((W+1)/2+i,1)*shift(i)*BW(:,1); BW(:,2*i+1) = BW((W+1)/2-i,1)*shift(W-i)*BW(:,1); e...
function rotation = EXPCR(X) % X is a 3x1 vector represent rotation axis n and angle theta theta = norm(X); % if X is a zero vector rotation should be an identity matrix if theta == 0 rotation = eye(3,3); else n = X / theta; % compute exp(n_hat * theta) n_hat = SKEW3(n); rotation = expm(n_hat * ...
function [ IRF_plot, F ] = BS_IRF( data,p,constant,reps,level,model,horizon,H ) %% DOCSTRTING % %This function will generate the bootstrap confidence intervals for the %impulse response function. The output is a tensor with all the shocks' %IRF and the upper and lower confidence bands based on the indicated %confidence...
function [ choice ] = chooseMax(strengths) % find the index of the largest element in the input vector choice = find(strengths == max(strengths)); if numel(choice) > 1 idx = randperm(numel(choice),1); choice = choice(idx); end end
% Academic License % Engineering 006 Homework % % These programs, solves the 4 problems in homework 2 prompt. % % Eng 6, Spring 2016 % Name: <Chengeng Xiao> % Student ID: <913186040> % Lab Section: <A07> %% Problem 1: start = 0; stop = 50; stepSize = 1; timeIncrement = start:stepSize:stop; lambda = 1...
filename=strcat(DATA_FOLDER,'flux_geometry.mat'); load(filename); filename=strcat(DATA_FOLDER,'tokamak_PR_map.mat'); load(filename); filename=strcat(DATA_FOLDER,'B_fields.mat'); load(filename); filename=strcat(DATA_FOLDER,'q_profile.mat'); load(filename); filename=strcat(DATA_FOLDER,'pressure_profile.mat'); load(filena...
%function curve = skewgaussian2(x,A,FWHM,Offset,Skew) function curve = skewgaussian2(bb,x) A=bb(1); FWHM=bb(2); Offset=bb(3); Skew=bb(4); % %Usage: curve = skewgaussian([A,FWHM,Offset,Skew],x); % if Skew==0 curve=gaussian(x,A,FWHM,Offset); else sigma=FWHM*sqrt(log(2))*exp(-Skew/2); g=sqrt(log(2))*(1-exp(-...
% Copyright [2021] [Adam Berrington] % % 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://www.apache.org/licenses/LICENSE-2.0 % % Unless required by appli...
# Script for image analysis of turbity current video frames # Required external functions: # useful_functions script file video grab functions # ########################################################################### # MANUAL INPUT PARAMETERS pkg load image FONTSIZE = 24; # this seems about OK for the si...
function Y = f_diag(X,A) % - replace diagonals of a square matrix % % USAGE: Y = f_diag(X,A) % % X = square input matrix % A = scalar value to replace diagonals of X matrix with % % Y = new matrix with A's along the diagonal % -----Author:----- % by David L. Jones, Feb-2011 % % This file is part of the FATHOM Toolb...
function dq = linevel2dq(v,r,vp,rp) % LINEVEL2DQ Transforms a line velocity expressed in vector notation % into its dual quaternion representation. % % DQ = LINE2DQ(V,R,VP,RP) transforms the line position, specified by: % - the line orientation V % - the position of an...
data = load('boat_variables'); plot(data.ans(1,:), data.ans(2,:),'blue'); % desired course angle hold on; plot(data.ans(1,:), data.ans(3,:),'red'); % rudder hold on; plot(data.ans(1,:), data.ans(4,:),'magenta'); % compass hold on; title('Autopilot with measurement noise & wave disturbance');...
function dispHelp(hfig,evnt) %#ok gd=guidata(hfig); str0=strjust(char(['Version',sprintf(' %0.2f',gd.version)],... ' written by Andrew Stevens',... ['Last Modified ',gd.modified],' '),'left'); str1=strjust(char('If you have questions',... 'or want to report a bug, contact me:',' '),'left'); str2=strjust(ch...
clear close all color_order = [ 0 0.4470 0.7410 0.8500 0.3250 0.0980 0.9290 0.6940 0.1250 0.4940 0.1840 0.5560 0.4660 0.6740 0.1880 0.3010 0.7450 0.9330 0.6350 0.0780 0.1840]; folder = uigetdir(); listing = dir(folder); int_array = false(length(list...
clear; load('G:\无源感知研究\数据采集\2019_07_18\会议室(3t3r)(1).mat'); sample_num = size(csi_train,1); for i=1:sample_num csi_train1{i, 1} = csi_train{i, 1}(:,181:270);%对序列进行转置 end clear csi_train sample_num i csi_train = csi_train1; clear csi_train1 save('G:\无源感知研究\数据采集\2019_07_18\改变天线数据\会议室(3t3r)(1)_t3')
function [A,A_hist,loss] = OnlineItml(C,X,A_0,params) disp('Running Online ITML....'); eta = params.eta; A = A_0; [c,t] = size(C); A_hist = cell(1,99); cell_index = 1; loss = zeros(1,size(C,1)); for i = 1:c i1 = C(i,1); i2 = C(i,2); target_dis = C(i,4); z = X(i1,:) - X(i2,:); current_dis = z*A*z'; a...
classdef PolarisationSpectrum < Modules.Experiment % PolarisationSpectrum Measures spectra at specified rotations of a motorised HWP or polariser to % give polarisation dependent spectra % Data structure for Nangles polarisation angles measured: % data: angle - 1 x Nangles struct arr...
classdef spindle < handle properties % These are properties that can be accessed from outside the % spindle class spindle_length; spindle_force = 0; %static_fiber static_force = 0; static_hs_length; static_series_length; ...
%%MK II PI GAIN clc %%longitudinal CD_o= CD_u= CL_u= CL_o= CD_a= Cm_u= Cm_a= Cl_a= %%lateral Cy_b= Cy_p= Cn_b= Cn_p= Cn_r= Cl_b= Cl_p= Cl_r= %% Physical parameter V= Sref= Mac_w= p= Q= lw= lt= lv= M= bw= Ixx= Iyy= Izz= Ixz= da= Uo= %% Xu=(-(Q*S)*(CD_u+2*CD_o))/M*Uo
function [f,e1,e2] = fundmatrix(x) %computes the fundamental matrix from 8 or more points in a stereo pair of images. %The normalized 8 point algorithm has accurate results with 12 or more points. if size(x,1) ~= 6 error('x must be 6 by N'); else x1 = x(1:3,:); x2 = x(4:6,:); end npts = size(x,2) if np...
clc clear close all tf = 10; base_length = .4; base_width = .4; base_height = .01; foot_length = .03; leg1_base = .1; leg1_top_length = .05; leg1_top_width = .01; leg1_top_height = .01; leg1_top_thickness = .005; foot_h = .05; foot_l = .15; foot_w = .08; foot_p = 150/(foot_h*foot_l*foot_w)/2; % Kinematic para...
function pcurr_out = pcurr_sa01_fit(ac_vmec, xx) pcurr_out = pcurr(xx, [0 1 ac_vmec(1:end)], [], [], 'sum_atan');
function [stim_onset,stim_offset] = StimOnsetExceptions(sbj_name,bn,stim_onset,stim_offset) % handles exception cases with missing photodiode pulses, etc. switch sbj_name case 'S16_99_CJ' if strcmp(bn ,'E16-1107_0005') stim_onset = [stim_onset(1:97) NaN stim_onset(98:189) NaN stim_onset(190:end...
function[]= graphe_surc(sc,sd) C=(1/9)*[0 7 8 6 7; 2 0 6 6 7; 3 3 0 3 7; 3 6 6 0 7; 3 3 8 2 0]; D=(1/10)*[10 2.4 0.8 2.4 1.2; 1.2 10 1.2 3.6 0.6; 3 2.4 10 3 1.2; 1.8 4.2 1.8 10 3; 3 2 0.8 3 10]; vect = ['a' 'b' 'd' 'e' 'h']; fid = fopen('graph.dot','w'); fp...
function [new_matches,desc1,desc2] = matching(img1,img2,peak_thresh, n_iterations, epsilon) %% Steps 1 and 2 [frames1, desc1] = vl_sift(img1,'PeakThresh', peak_thresh); [frames2, desc2] = vl_sift(img2,'PeakThresh', peak_thresh); %% Step 3 [matches, ~] = vl_ubcmatch(desc1,desc2,3); desc1 = desc1(...
function X = fevalImages( fHandle, prms, srcDir, name, ext, ... nStr, nEnd, nDigits ) % Used to apply the same operation to all images in given directory. % % For each image in srcDir, loads the image, applies the function in % fHandle and stores the result. The result x=fHandle(I,prms{:}) on the % ith image is sto...
%%% channel_sounder_matlab %%% % This file is used to set up a ADALM-Pluto radio to transmit. After the % file is finished running the transmitter will begin transmitting. % Additionally, if there is an external power source for the radio, it may % be disconnected from the computer and it will continue to transmit. %...
function compile_pascal_data(cls,year) startup; [pos, neg, impos] = pascal_data(cls,year); save(pos,'pos.m'); save(neg,'neg.m'); save(impos,'impos.m'); end
Peru_Infected_All =[]; Peru_Recovered_All = []; Peru_Dead_All = []; str1 = "Peru" str2 = "Peru" str3 = "Peru" for i = 26:31 fname = strcat ( '03-', num2str(i), '-2020.csv' ); P = readtable(fname); A = P.Combined_Key; Array = strings(1, length(A)); for j = 1:length(A) Array(j) = A{j}; end index = fin...
function calibration = calibrate(channel, rewardController, scales, tMin, tMax) %HW.CALIBRATE Performs measured reward deliveries for calibration % This function is used by srv.expServer to return a water calibration. It still requires some scales to be attached to % the computer. TODO: Sanitize and integrate int...
function [obsStruc, time_ref, time, week, date, rxPos0, interval, antoff, ... antmod, rxmod, obsColumns] = readCompObsFile(filename,constellations,settings) % function to open and read a compressed observation file if nargin < 3 settings = []; end % check if this is fully uncompressed observation file. [dirP...
addpath('..'); addpath('../../utils'); number_of_samples = 1000; mean_rx = 3.8; mean_ry = 3.5; mean_Xo = 0.4; mean_Yo = 0.2; var_rx = 0.05; var_ry = 0.05; var_Xo = 0.1; var_Yo = 0.1; Matlabdata = zeros(number_of_samples,2); Matlabtimes = zeros(number_of_samples,1); Cdata = zeros(number_of_samples,2); tic; fileID = f...
%* Revised Sum-Product Algorithm %* %* References: %* [1] S.J. Johnson, "Low-Density Parity-Check Codes: Design and Decoding", %* Wiley Encyclopedia of Telecommunications, Wiley, Apr. 2003 %* %* Author: T.J. Cheng, 2016 %* %* 2016-11-30: It works fine for Example 2.6 in [1]. %* clc clear all; ...
clc;clear; close all; load mini_mnist.mat % y and X rand('seed', 1); randn('seed', 1); % Data dimensions [N,D] = size(X); %Params %Clasifier options options = optimset('GradObj','on','MaxIter',100); lambda = 0.01; % number of classes, indexed from 1 to Nclasses Nclasses = 10; % Tran test splitting [index_tra...
%Whale Group function rxp = ratioxp( betax, muj, mux, k ) rxp = ( betax * mux * muj^10 + mux ) / ( 1 - mux * k )