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function dumpLatexAutomata(dfa, filename)
%DUMPLATEXAUTOMATA Summary of this function goes here
% Detailed explanation goes here
tm = dfa.TransitionMatrix;
fd = fopen(filename, 'w');
fprintf(fd, '%s', '\documentclass[11pt]{article}');
fprintf(fd, '\n');
fprintf(fd, '%s', '\usepackage{tikz}');
... |
function [D] = get_events_SPMformat(filename,eventfile)
% Get inputs
% -------------------------------------------------------------------------
if nargin<1 || isempty(filename)
filename = spm_select;
end
try
D = spm_eeg_load(filename);
catch
error('Could not load file');
end
if nargin<2 || isempty(eventf... |
classdef GMCCA_backup
methods(Static)
function agg_pi=find_matching(options, data)
% computes the within graph aided mCCA between X and Y.
% returns pi, the permutation that matches samples (rows) of X
% with rows of Y.
if options.use_single == 1... |
function mse_value = MSE(imgx, img1)
% MSE palauttaa kuvista lasketun MSE-arvon hyödyntäen kaikkia värikanavia
% imgx: referenssikuva, img1: vertailtava kuva
imgx = double(imgx);
img1 = double(img1);
subt = (img1-imgx).^2;
[row, col, ~] = size(img1);
N = row*col;
sumR = (1/N) * sum(sum(subt(:,:,1)));
sumG = (1/... |
function Roots = LegendreRoots(n)
if (n == 0)
error('Legendre Polynomial of order 0 has no roots');
elseif IsNotIntegral(n,'+')
error('Given order ''n'' must be a strictly positive integer.');
end
switch(n)
case(1)
Roots = 0;
case(2)
... |
function regionInit = segment_createRegionFromVessel(vessel)
plotON = false;
regionMask = zeros(size(vessel));
ind1 = floor(0.05*size(vessel,1)); ind2 = ceil(0.95*size(vessel,1));
regionMask(ind1:ind2, ind1:ind2, :) = 1;
regionInit = zeros(size(vessel));
regionInit2 = regionInit; regionIni... |
%高度標記
clear;clc;clf;
[xx,yy,zz]=peaks;
cmat=contour(xx,yy,zz);
clabel(cmat) %加上高度標記
cmat2=contour(xx,yy,zz,[-5,-3,0,3,5,8]);
clabel(cmat2,[-5,0,5,8])
clabel(cmat2,'manual') %利用滑鼠指定欲標記的等高線
|
function date_vector=parseDateVector(time_string)
if not(isempty(findstr('T',time_string)))
separator='T';
else
separator=' ';
end
date_and_time=strsplit(time_string,separator);
year_month_day=strsplit(date_and_time{1},'-');
hour_min_sec=strsplit(date_and_time{2}(1:8),':');
date_vector=cellfun(@(str) str2doub... |
function success = writeFeaturesH5( feats, labels, fn )
% success = writeFeaturesH5( feats, labels, fn )
%
% feats - the features (N x P vector (single))
% or a cell array, with one entry per label
% labels - the labels( N x 1 vector)
%
success = false;
% list of labels in the dataset
if( iscell(feats))
... |
%%
%(1)
close all
M=512;
wc=2*pi/3
i=0;
for N=[21 101 1001]
i=i+1;
n=0:(N-1);
h=wc/pi*sinc(wc/pi*(n-(N-1)/2));
[H,w]=DTFT(h,512);
% figure()
subplot(2,3,i)
plot(w,abs(H))
ylabel('Magnitud')
title(strcat('N=',num2str(N)))
xlim([-pi pi]);
subplot(2,3,i+3)
plot(w,angle(H))
... |
num_tests = 1000;
channel1 = [1+0.87i 0.2+0.1i 0.1+0.2i];
channel2 = [0.5i-0.8i -0.2i 0.2+0.1i 0.1+0.2i 0.01i-0.01];
channels1 = zeros(num_tests, length(channel1));
channels2 = zeros(num_tests, length(channel2));
for kk = 1 : num_tests
channels1(kk,:) = channel1 + sqrt(0.05/2)*(randn(1,length(channel1)) +... |
% Entering volunteer's info
Volunteer =input('Volunteer : ','s'); %Asks for volunteer's name
Sesion_number=input('Sesion number: ','s');
LogFileName=strcat(Volunteer,' - [',datestr(now,0),']','- EFFORT_PILOT_sesion_',Sesion_number,'.log'); %Indicates name for log file
LogFileName = strrep(LogFileName,':','... |
function x=hlbrtcrv(X)
%input m 2D matrix
%output gives vector after doing hilbert scan in a matrix
[M,N]=size(X);
x=zeros(1,M*N);
Y=hilbert(max([M N]));
Y=Y(1:M,1:N);
Y=Y(1:M*N)';
[s, I]=sort(Y);
[R,S]=meshgrid(1:N,1:M);
R=R(I);
S=S(I);
R=R';
S=S';
for i=1:M*N
x(i)=X(S(i),R(i));
end
ret... |
% go back to launcher and launch it
if ~exist('launcher.m','file')
cd ..
end
launcher
|
function methods = setup_methods_ransac_full
addpath('/home/alexander/materials/pnpl/pnpl/opnp');
fs = {
@(p,l,vp,vl)slv.sego_solver(p,l,vp,vl,false,true),...
@(p,l,vp,vl)slv.sego_solver(p,l,vp,vl,true,true),...
@(l,p)cvpr10.quat_assf(l,p),..... |
function SpecCourse
figure('MenuBar','None',... % убирает меню
'Name','Pendulum',... % имя окна
'NumberTitle','Off') % убирает тип окна перед названием
uicontrol('Style','PushButton','Units', 'normalized',... %главная кнопка
'String','нарисовать',... %назва... |
% Création d'un grid sag adapté à l'exportation dans zemax.
clear
%Configuration des paramètres
run config.m
s_max = hfov.*(1-z/f);
%Création de la fonction de grandissement
G = fun_creation(type_dist,r1,r2,g1,g2);
%Calcul du profil de distortion recherché
[distortion,P] = calc_dist(G,hfov,1000);
figure(1);plot( ... |
close all;
laenge1 = 30; %Fuer die Weg-Koordinate
laenge2 = 45; %Fuer die Zeit-Koordinate
%Felder erstellen
x = linspace(0,1,laenge1);
%laenge2 = laenge1;
t = linspace(0.5,0,laenge2);
if 1==2
step = abs(t(1)-t(2));
t = [t,linspace(0.7,max(t)+step,laenge2)]
laenge2 = 2 * laenge2; %Ergibt einen besseren Plot am St... |
close all
clear
clc
last_direction = 1;
load('measurement_30_09_2018_sinus_0_3.mat')
trim_to_zeros
disp(last_direction);
t_all = t;
position_unfiltered_all = pedal.position_unfiltered;
velocity_all = pedal.velocity;
load('measurement_30_09_2018_sinus_0_5.mat')
trim_to_zeros
disp(last_direction);
t = t + t_all(end) + ... |
function plot_volume_and_non_active_agents(file_path_resolver, file_name_resolver, display_name_resolver, params, save_plot, non_active_agents_range,...
volume_range)
if ~exist('non_active_agents_range','var')
non_active_agents_range = [0 14400];
end
if ~exist('volume_range','var')
volume_range = [0 14400];
e... |
function posit_test(intrinsics, extrinsics)
% all this junk ported from http://opencv.willowgarage.com/wiki/Posit
%size - corners of a cube
s = 10;
model_points = [0 0 0; ...
s 0 0; ...
0 s 0; ...
0 0 s; ...
]';
%s s 0; ...
... |
%% create the base waves
x = [-3:.1:3];
norm = normpdf(x,0,1);
n1 = [zeros(1,100) norm zeros(1,100)];
n2 = [zeros(1,98) norm zeros(1,102)];
d = (n1-n2)*4;
plot(d)
%% Analyze a bipolar wave
m = zeros(100,length(d)+200);
for i = 1:100
m(i,:) = [zeros(1,100-i) d zeros(1,100+i)];
end
avg = mean(m,1);
repavg = avg... |
function n=digit_counter(filename)
n=0;
fid = fopen(filename,'rt');
if fid < 0
n=-1;
return
end
str = fscanf(fid,'%c');
n = length(regexp(str,'[0-9]'));
fclose(fid); |
function [] = KMeans()
% http://openclassroom.stanford.edu/MainFolder/DocumentPage.php?course=MachineLearning&doc=exercises/ex9/ex9.html
% Run K-means
% The variables are named according to the equations
% Written by Dang Manh Truong (dangmanhtruong@gmail.com)
Image = double(imread('bird_small.... |
function F = giveF(pr,pn,in,rmesh,ti,mi,ai,ji,si,ni,vi,theta,BHCP)
% This function returns the function to be solved for the newton solver
% Defining funciton in matrix form
% Left boundary: P1^(n+1) - BHCP = 0
% Right boundary: flux is zero. Therefore,
% PN+1 - PN = 0
% | ( ( 0 0.... 0 | | P1... |
%转移矩阵D为时限，K为还要多少个时隙才能传输成功
function[matrix]=prob_input_realnumber(D,realnumber)
matrix=zeros(1,3); %
matrix(1,2)=floor((realnumber-1)/((D+1)*D))+1;
g=mod(realnumber,(D+1)*D);
if g~=0
matrix(1,1)=floor((g-1)/(D+1));
g1=mod(g,D+1);
if g1~=0
matrix(1,3)=g1-1;
else
matrix... |
Z0 = rand(5,5);
[X0,Y0] = meshgrid(1:5,1:5);
%figure;
%surf(X0,Y0,Z0);
[X1,Y1] = meshgrid(1:.1:5,1:.1:5);
Z1 = interp2(X0,Y0,Z0,X1,Y1,'cubic');
figure;
surf(X1,Y1,Z1);
colormap(hsv(128));
shading interp;
hold on;
contour(X1,Y1,Z1,15);
colorbar;
caxis([0 1]);
|
classdef EllipticProblemUpdateConservativeFinalVelocityTest < EllipticProblemMatrixAssembleTest3dNew
%ELLIPTICPROBLEMUPDATECONSERVATIVEFINALVELOCITYTEST 此处显示有关此类的摘要
% 此处显示详细说明
properties
matfphys
end
methods
function obj = EllipticProblemUpdateConservativeFinalVelocityTes... |
function B=localfit(ii,x,y,ve)
if isstruct(x) || isstruct(y) || istruct(ve)
x_b = []; y_b = []; ve_b = [];
for idx = 1:length(ii)
x_b = [x_b x(ii(idx)).data];
y_b = [y_b y(ii(idx)).data];
ve_b = [ve_b ve(ii(idx)).data];
end
B = linreg(x_b,y_b,ve_b);
else
B = linreg(x(ii),y(i... |
runProcessedData =importdata([fileSave{1} filesep 'runProcessedData.mat']);
BCI_params;
Data_Anticipation =importdata([fileSave{2} filesep 'Data_Anticipation.mat']);
spectrogramData = preprocess_runs_spectrogram(runProcessedData,params.params_spectrogram);
SaveProcess = false;
try
analysis_bandpower;
end
SaveProc... |
clear;clc;
img = imread("3096_colorPlane.jpg");
loop = 100;
iter = 5000;
%KMeans
for K = 2:5
Kmeans(img,K,loop);
end
%EM
for K=2:5
X_train5 = flat5d(img);
[mu, cov, a] = expec_max(K, iter, X_train5);
classifyMAP(img, X_train5, mu, cov, K, a);
end
%% KMeans
function[] = Kmeans(img,K,loop)
% Flat... |
function [P12_best,P13_best,T_best,matcheper_best]=RANSAC_TFTPoseEstimation(Corresp,CalM)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
[~,n] = size(Corresp);
iter_num = 1000;
threshold = 0.01;
%% homogenous coordinates
% Normalization of the data
[x1,Normal1]=Normalize... |
%% HA6, PART-II, Use PageRank Algorithm to Rank Websites
% This example shows how to use a PageRank algorithm to rank a collection
% of websites. Although the PageRank algorithm was originally designed to
% rank search engine results, it also can be more broadly applied to the
% nodes in many different types of graphs... |
function [valid_flash_inds] = cull_flashes(trial, num_dead_flashes)
% Use flashes up to target flash, or second to last flash
% Set num_dead_flashes to a default value
if nargin < 2
num_dead_flashes = 1;
end
% Test for a target flash
zone1 = trial.flash_color==1 & trial.flash_zone==1;
zone2 = trial.flash_colo... |
function [mov check] = fn_registernd(ref,test,sigma,hp)
% function [mov check] = fn_registernd(ref,test,sigma,hp)
%---
% register z-stack test to the z-stack ref and returns the distance to move
% in pixels
%
% Input:
% - ref ND array
% - test ND array, sizes smaller than ref
% - sigma nrep*ndim a... |
function [p_ed, p_ed_as, p_ed_super] = theor_ped(c_mes_control, m, q)
d_h = 10000;
for i = 2:size(c_mes_control, 1)
d = sum(c_mes_control(i, 1:size(c_mes_control, 2)));
if d < d_h
d_h = d;
end
end
A_i = zeros(1, size(c_mes_control, 2) - d_h + 1);
for i = 2:size(c_mes_control, 1)
d = sum(c_mes_c... |
function log_errors(opts,varargin)
% called when an error is thrown during the project
% log error and project information for debug
%
% Parameters:
% opts (Required) : structure
% project configurations and information
% logfile (Parameter) : string | char array
%
% Example 1:
% try
% net = Training.tr... |
clear
tests = [361 364 367 370 381 382];
rec_filename = '899r02.rec';
for test_num = 1:length(tests)
proc_raw(rec_filename, tests(test_num));
end |
classdef PPResults %PP Results
%UNTITLED2 Summary of this class goes here
% Detailed explanation goes here
properties (Access = public)
Model = [];
Case = [];
TimeDate = [];
end
properties (Dependent, SetAccess=private)
... |
function make_mesh(setIndex)
% X, xL, xR
% Load current settings
load('settings.mat');
% load in results of reconstruct
scandata = load([settings.resDir sprintf('scandata_%02d.mat',setIndex)]);
X = scandata.X;
xL = scandata.xL;
xR = scandata.xR;
xColor = scandata.xColor;
bbox = settings.bbox;
% threshold for prun... |
function simulatorMH %2
clc
clear all
%%%%%Window%%%%%
main_window = figure('Name', 'SimulatorMH', 'Units', 'Normalized', 'Position', [0, 0, 0.6, 0.9], 'Visible', 'off', 'MenuBar', 'none', 'Resize', 'on');
datacursormode on;
%%%%%GUI features (buttons etc.)%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Network panel%%%%%%... |
function P = polyfitM(x, matrixY, n)
% [sx1, sx2] = size(x);
[sx1, sx2] = size(matrixY);
P = zeros(sx1, n+1);
% x = matrixX(Index, :);
x = x(:);
% q = ones(sx2, 1);
% V(:, n+1) = q;
% for j = n:-1:1
% q = q .* x;
% V(:, j) = q;
% end
V = vander(x);
[Q, R] = qr(V, 0);
for Index = 1:sx1
y ... |
close all;
TigerEFP('configTigerEFPMULane60NEmp1cmult.txt', 'MU60NEmp1cmult');
TigerEFP('configTigerEFPMULane60NEmp1energy.txt', 'MU60NEmp1energy');
TigerEFP('configTigerEFPMULane60NEmp1rx.txt', 'MU60NEmp1rx');
TigerEFP('configTigerEFPMULane60NEmp1.5cmult.txt', 'MU60NEmp1.5cmult');
TigerEFP('configTigerEFPMULane60NEm... |
function [position,isterminal,direction] = EventsFcn_Tstance_R(t,x,contact_pos,ter_i,k1,L_sp0,m1)
g = 9.81;
position = [k1*(x(1)-L_sp0)*cos(x(2))-m1*g,...
contact_pos(2)+x(1)*cos(x(2)) - Terrain(contact_pos(1)-x(1)*sin(x(2)),ter_i)];
% The value that we want to be zero
isterminal = [1, 1]; % Halt integratio... |
%% the setting of surface trap
Z=1;
q=Z*1.60218*10^(-19); %% use yb 171 + the q=1e 元电荷
ee0=8.855*10^(-12); %% coulomb force 介电系数
k_c=q/(4*pi*ee0); % 系数 算电场力
mass=174*1.66*10^(-27); % 质量
x0_um=((Z^2*q^2)/ (4*pi*ee0*mass*Omega_rf^2))^(-1/3); % 长度无量纲化条件
U0=1; %U0=(q/(mass*um^2*(Omega_rf/2)^2)); 电势场无量纲化，这里后来没有加上去... |
function obj = removeVirtualConstraint(obj, name)
% Remove virtual constraints defined for the system
%
% Parameters:
% name: the name of the constraint @type cellstr
assert(ischar(name) || iscellstr(name), ...
'The name must be a character vector or cellstr.');
if ischar(na... |
function dev_generate_polynomial_code(fname, genname, Kfun, betafun, opt)
% dev_generate_polynomial_code(fname, genname, Kfun, betafun, opt)
%
% Function used by `dev_generate_basic_kaiser_poly.m` and
% `dev_generate_basic_kaiser_poly_deriv.m`. For documentation,
% see those files.
degs = opt.degs;
fid = fopen(fnam... |
% analyze new features (half aneurysm + distal/proximal)
clear
close all
load FeatureTable4
Observation = table2array(FeatureTable4(1:26,3:end));
Group = table2array(FeatureTable4(1:26,2));
%% Selecting Features Using a Simple Filter Approach
dataG1 = Observation(grp2idx(Group)==1,:);
dataG2 = Observation(grp2idx(... |
function jasna_summarize_timigs_in_table (cache_dir, sequences, varargin)
% JASNA_SUMMARIZE_TIMINGS_IN_TABLE (cache_dir, sequences, varargin)
%
% Gathers the results of JASNA_EXPERIMENT_AFFINE(),
% JASNA_EXPERIMENT_DTU(), and JASNA_EXPERIMENT_WEBCAM(), and summarizes
% the (amortized) run-times in ... |
filePath = 'C:\Users\User\Desktop\Final Project\Statistics\statistic.mat';
data = load(filePath);
statistic = data.statistic;
% x = number of optimise
% y = number of optimise
% z = number of features
[x, y, z] = size(statistic);
V = zeros(x, z);
for i=1:x
for k=1:z
Vi = 0;
for j=... |
function status = surfstab_visu_test(in_path)
%% Script to visualize things from the test case for the stability pipeline
|
% University of British Columbia, Vancouver, 2017
% Alex Kyriazis
% William Choi
%
% Extracts cell morphology features from a list of cells that have
% undergone process segmentation
function [dpcell_list] = feature_analysis( dpcell_list )
%
% Handles cell analysis following soma segmentation
%
length ... |
function x = seperateSet()
spamList = dir('spam');
nospamList = dir('nospam');
X=[];
y=[];
trainX = [];
crossX = [];
crossy = [];
trainy = [];
testX = [];
testy = [];
for i = 3:length(spamList),
file_contents = readFile(strcat('spam\', spamList(i).name));
... |
function [inputTrackingVideo] = createTrackingOverlayVideo(inputTrackingVideo,inputX,inputY,varargin)
% Takes tracking data and makes an overlay on a behavioral movie.
% Biafra Ahanonu
% started: 2014.01.03 [19:13:01]
% inputs
% inputTrackingVideo - [x y frames] movie or path to AVI file
% inputX - [1 frames] v... |
classdef TradingRobot < AutoTrader
properties
AEXDepth
CHXDepth
end
methods
function HandleDepthUpdate(aBot, ~, aDepth)
% Saves last depth
switch aDepth.ISIN
case 'AEX_AKZA'; aBot.AEXDepth = aDepth;
case 'CHX_AKZA'; aBot.CHXDep... |
function clearPlotsBN_prs(obj, evt)
thndl = get(gcf, 'Userdata');
cla(thndl.uicontrol.plots.scalpPotential_AX); |
function [position, avgCost, commission ] = cut_pos(obj, spotPrice, posCut)
%% Reduce open interests by selling or buying to cover posCut contracts at spotPrice.
% Return position avgCost and commission after operation.
%%
% check current unit
if obj.currUnit<=0
error('Cannot cut position!');
end
totPos = sum(obj.... |
function photo = photosynthesis(C_at, T, pCO2a, k_p, C_veg0, k_a, k_MM, k_c, K_M, T_0)
% Photosynthesis model from (Lenton 2000) Earth System Model
%{
Carbon uptake from the atmos. via photosynthesis
Variables:
C_at = carbon uptake atmos.
T = Temperature
pCO2a = Mixing ratio... |
display('Arq3'); |
%
% Mathematical model of the movement of the ship in the water
% with influence of wind, current and waves
%
% - Wave profile generator
%
% (c) by Fabian Jenne
% DAsoln3; compute the D'Almebert soln for an IVP.
% The original disturbance is Gaussian, so we know the
% Fourier transform (also a Gaussia... |
function [stimTimes,trainTimes] = extract_stimulation_times_TOJ(tact,fsStim,bads)
samplesOfPulse = round(2*fsStim/1e3);
% build a burst table with the timing of stimuli
preStim = round(fsStim*1);
[trainTimes] = find(tact(:,8)==1)- preStim;
logicalMask = logical(ones(size(trainTimes)));
logicalMask(bads) = 0;
t... |
function comparePosNegPromters(nDir, pDir, minimum)
% COMPAREPOSNEGPROMTERS
% Authors: Hani Girgis and Alfredo Velasco
% The Bioinformatic Toolsmith Laboratory
% The University of Tulsa
% This function takes in two directories
% that represent a tissue and a minimum.
% It will go through the w.mat files (the weights
%... |
%% LIC 5
%Return TRUE if there exists at least one set of two consecutive data points
%where X[j] - X[i] < 0 (where i=j-1)
function out = lic5(POINTS, NUMPOINTS)
out=0;
for i=1:(NUMPOINTS - 1)
if(POINTS(i,1)>POINTS(i+1,1))
out=1;
break;
end
end
end
|
% User Specific Vars
user = 2;
switch (user)
case 1
username = 'lstruz';
ieegLoginFile = 'lst_ieeglogin.bin';
case 2
username = 'mdshahid';
cd('D:\Work\MSE2013-2014\Spring_2014\BCI\');
addpath(genpath(cd));
cd('FinalProject/rECoGnition');
ieegLogi... |
function out1 = tau2kappa(tau);
% Takes in upper and lower tail dependence measures
% and returns the required parameters of the Joe-Clayton copula
%
% INPUTS: tau = [tauU, tauL], a 2xT vector of upper and lower tail dependence measures
%
% OUTPUS: kappa, a 2xT vector of required Joe-Clayton copula parameters
... |
function str_out=ZeroPad(str_in,num,varargin)
% str_out=ZeroPad(str_in,num)
% str_in: the input string
% num: number of digits wanted to achieve
% Optional inputs
% 'PadPosition': 'start'(default)|'end'|[start index (double)]
pad_position=InspectVarargin(varargin,{'PadPosition'},{'start'});
zeros_str = repmat('0',1,... |
function S = sumZplains(boxSize)
S = zeros(boxSize(1),boxSize(1)*boxSize(2)*boxSize(3));
for i = 1:boxSize(3)
for j = 1:(boxSize(1)*boxSize(2))
S(i,(i-1)*boxSize(1)*boxSize(2)+j) = 1;
end
end
% S = zeros(boxSize(1),boxSize(1)*boxSize(2)*boxSize(3));
% for i = 1:boxSi... |
function key = gtskey(sp)
%最後の方のデータは切り捨て
l = length(sp);
key = zeros(1,l)';
for i = 1:l
key(i) = mirgetdata(mirkey(sp{i}));
end |
function dumpgptstart(fn,a)
fid=fopen(fn,"w");
fprintf(fid,"reset\n");
fprintf(fid,"unset border\n");
fprintf(fid,"unset key\n");
fprintf(fid,"set tics\n");
fprintf(fid,"set size ratio 1\n");
fprintf(fid,"set xrange [%f:-%f]\n",a,a);
fprintf(fid,"set yrange [%f:-%f]\n",a,a);
fprintf(fid,"\n");
fprintf(fid,"\n... |
%% This is for playing with data coming from Movebank
% filtered with movebank.sh
disp('reading data...')
% Modify this with your own data
f = fopen('samples/movebank_sample.csv');
data = textscan(f, '%*d %s %f %f %*[^\n\r]', ...
'CollectOutput', true, 'HeaderLines', 1, 'Delimiter', ',');
fclose(f);
[d.t,idx] =... |
function [ spe ] = disfunction( Xt, svmstruct)
%DISFUNCTION Determines which group the input data belongs to
% given the information about kernel function and support vector
data = svmstruct.TrainingData;
Isv = svmstruct.Isv;
spe = svmstruct.Bias;
vecAlpha = svmstruct.vecAlpha;
vecMu = svmstruct.vecMu;
vecSigma = sv... |
function plotOnGate( tA, tAIX, gIX, gSamp, plotWindow, calcFcn)
samplePeriod = .05;
sampWindow = [(plotWindow(1)./samplePeriod):(plotWindow(2)./samplePeriod)];
powerList = unique(tAIX(:,1));
flyList = unique(tAIX(:,8));
Npowers = length(powerList);
Nflies = length(flyList);
plotQty = ... |
%%batch02
run_sim('simdata2.mat');
|
function [x] = tikh(f, mask, vsz, bdir, lambda)
%TIKH Tikhonov regularization
%
% [x] = TIKH(f, mask, vsz, [bdir], [lambda]);
%
% Inputs
% ------
% f unwrapped local field/phase (3d/4d array).
% mask binary mask of region of interest (3d array).
% vsz voxel size.
%
% bdir u... |
function [fitresult, gof] = createFit(N, B100V4)
%CREATEFIT(N,B100V4)
% Create a fit.
%
% Data for 'untitled fit 1' fit:
% X Input : N
% Y Output: B100V4
% Output:
% fitresult : a fit object representing the fit.
% gof : structure with goodness-of fit info.
%
% See also FIT, CFIT, SFI... |
function [a1_v1, filt_a1_v1, timeInstants, p_v1] = filterConstruction(filename, Fs)
a = miraudio(filename,'Sampling',Fs);
f = mirframe(a,'Length',0.05,'s','Hop',0.01,'s');
a1 = mirautocor(f);
a1_v1 = mirgetdata(a1);
a1_v2 = get(a1,'Pos');
f1{1} = mirfilterbank(a,'Manual',[50 75]);
f1{2} = mirfilterbank(a,'Manual',[50... |
function y = in_range(x, minimum, maximum)
% IN RANGE: Check if number is in range
% y = in_range(x, minimum, maximum)
% ` check if x >= minimum and x <= maximum
% INPUTS:
% x - the analyzed value
% minimum - the minimum value of range
% maximum - the maximum value of range
% OUTPUTS:
% y - a boolean if x is in ra... |
% Employ method of limits to determine where the OSCOR stimulus goes from
% spatial to a flutter
clear all; close all hidden; clc; %#ok<CLALL>
path = '../CommonExperiment';
p = genpath(path);
addpath(p);
addpath('Stimuli Dev')
load('s.mat')
rng(s)
subj = input('Please subject ID:', 's');
%% Stim & Exp... |
function y = gauss2mf(x, params)
%GAUSS2MF Two-sided Gaussian membership function.
%
% Synopsis
% y = gauss2mf(x,params)
% y = gauss2mf(x,[sig1 c1 sig2 c2])
%
% Description
% The Gaussian function depends on two parameters sig and c as given by:
%
% GAUSSMF(X, [SIGMA, C]) = EXP(-(X - C).^2/(2*SIGMA^2));
%
%... |
%- movie 1d
global DT
global VALUE_PB level_set
global Zmin Zmax
global nn cdd
global XPAUSE
PRINTF=0; %- for more printings
PLOT_DERIV=0; %- to show derivative of numerical solution
VFile='VF';
VFile0='VF0';
if VALUE_PB==1;
VFile='Value';
VFile0='Value0';
end
if PRINTF; fprintf('dim=1 !\n'); end
if dim>1; f... |
x = load('dataset1_inputs.txt');
t = load('dataset1_outputs.txt');
w = 30;
errors = zeros(1,w);
for i=1:w
%polynomial curve fitting using my function designmatrix
p = designmatrix(x,t,i);
%evaluate polynomial at each input value in x
results = evalpoly(p,x);
%find square error difference
err... |
function newton(lamda)
load trainSet.txt;
siz=size(trainSet);
dim=siz(1)-1;
num=siz(2);
Y=trainSet(dim+1,1:num);
X=zeros(dim+1,num);
X(1,1:num)=1;
X(2:dim+1,1:num)=trainSet(1:dim,1:num);
w=zeros(1,dim+1);
alpha=0.001;
e=1e-7;
g=(Y-exp(w*X)./(1+exp(w*X)))*X'-lamda*w;
temp=(exp(w*X)./(1+exp(w*X)));
A=diag... |
%%%% Load kgrid and sensor structure data in advance. %%%%
function tof_map = get_tof_AIC_2(varargin)
% varargin{1} is the receive data of objective
% varargin{2} is the receive data of water
% varargin{3} is the kgrid data
% varargin{4} is the sensor data
% varargin{5} is the half-size of window
display('start running... |
function [ OUTPUT, PSNR ] = CSCoding( INPUT )
%CSCODING Summary of this function goes here
% Detailed explanation goes here
%addpath('../Non-local CS_pub');
currpath = pwd;
f = filesep;
addpath([currpath f 'rwt' f 'bin']);
wav = daubcqf(4);
W = @(x) midwt(x,wav);
WT = @(x) mdwt(x,wav);
%% Recovery from Circulant ... |
function check_commute_times(fn)
% CHECK_COMMUTE_TIMES Check the commute times computed by graph_eigs
% fn - the filename of the smat file, the commute times are stored in
% fn.laplacian.ctimes
smatdata = load(fn);
edges = smatdata(2:end,:);
G = spones(sparse(edges(:,1)+1,edges(:,2)+1,1,smatdata(1,1),smatdata(1,2))... |
% Offset the boilerplate stuff to make the main loop easier/shorter to read
%% Add paths
Screen('Preference', 'SkipSyncTests', 1);
Screen('Preference','VisualDebugLevel', 0);
addpath(genpath('Psychoobox'));
addpath(genpath('ptbutils'));
tgt = ParseTgt(file_name, ',');
tgt = struct2table(tgt); % R2013b ++!
% break it ... |
function add_gaussian_noise(cloud, shapename, variance)
pts = cloud.Location;
SAMPLING_SET = 200;
% estimate diameter
sampled = down_sample(cloud, SAMPLING_SET);
Dfps = pdist2(sampled.Location, sampled.Location);
diam = sqrt(max(Dfps(:)));
sig = diam * variance;
new_x = pts + randn(size(pts)) ... |
Y = [1,2,3,4,5,6,7,8,9];
Mybar = bar(Y);
set(Mybar,'YDataSource','Y');
while(true)
for i = 6:10
Y(5) = i;
pause(1);
refreshdata;
end
for i = 10:-1:5
Y(5) = i;
pause(1);
refreshdata;
end
end |
function [prog prog_null_mean prog_null_std] = get_progression_output_struct(OUTPUT_STRUCT,adjacency_used,x,y)
frames = length(OUTPUT_STRUCT);
prog = zeros(frames,1);
if strcmp(adjacency_used,'W')
prog_null_mean = zeros(frames,1);
prog_null_std = zeros(frames,1);
else
prog_null_mean = nan;
prog_nu... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2018 Crypto4a Technologies Inc.
%
% 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,... |
%% init.m
%
% Script for setting the engine constants and initial values for simulation
%
% Author: Andreas Torp Karlsen (andreas.t.karlsen@gmail.com)
% Last revised: 18.06.2012
%%
clear all;
clc;
global k_a R_a T_amb c_pa d_c % for use in 'compflw' and 'compflw_alt', global to avoid passing as parameters
nx = 6;... |
function[]=writeABQinitialconditions(filepath,type,absoluteexteriortolerance,definition,drivingelsets,exteriortolerance,file,fulltensor,geostatic,inc,input,interpolate,midside,normal,numberbackstresses,outputvariable,rebar,sectionpoints,step,unbalancedstress,user,variable,data,comment)
%================================... |
function [training_data, test_data] = split_dataset_sinan(data,tt_ratio)
%% Split dataset
% sinangokce, 22.04.2018
M = size(data,1);
M_train =round(M * tt_ratio); %number of training element
random_training_indices = randperm(M,M_train);
training_data = data(random_training_indices,:);
temp_data = data;
temp_d... |
clear all ; close all ; clc;
%% Load HSI
demoFile = 'Pavia.mat';
vars = {'pavia'};
load(demoFile, vars{:});
M3d = pavia;
M3d = M3d(:,224:end,:); % keep right part of image
[nl,nc,p] = size(M3d);
nt = nc*nl;
M = reshape(M3d, nt, p).';
%% Normalise HSI data cube
temp = max(M(:));
M = M./temp;
%% Initialise H b... |
function [ ranklist ] = GetRankList( taskDAG,nodeCount,localComPower,serverComList,serverCount,transRate,transData,computeCost,delta )
%function [ ranklist ] = GetRankList( taskDAG,nodeCount,MaxNodeCount )
%GetRankList 获得DAG中每个子任务的rank，按照优先级从高到低（递增）顺序排序
% rank依据，借助AOE网络关键路径发，计算AEST（actual earliest start time）和ALST（a... |
%
% This script computes all the Haar-like features for the training
% set.
% To configure the constants, please modify config_training.m
%
% Carica le costanti
config_training
fprintf('*** Computing Haar-like features for given training set ***\n');
% Carica gli esempi positivi
fprintf('Loading positive samples... |
function [matched_bit_strm] = match(mod_bit_strm, pulse)
%MATCH Summary of this function goes here
% Detailed explanation goes here
pusle=pulse(end:-1:1);
pusle=[pusle'];
matched_bit_strm=filter(pusle,1,mod_bit_strm);
end
|
function treCompute(framebins,filename,sgname)
%treCompute Compute Temporal Reliability Entropy
% treCompute(FRAMEBINS,FILENAME) computes the Temporal Reliability
% Entropy for the surrogate data. FRAMEBINS specifies the number of
% bins each frame is broken up into. The resulting entropy measurements
% are sav... |
function [ hfig ] = plot_optprice_sigma( self )
%PLOT_OPTPRICE_SIGMA 画期权价格对sigma的图
% ----------------------------------
% 吴云峰，20160130
% 吴云峰，20160316，基于copy的数据做研究
%% 预处理
% TODO：检查各个变量是否都有值
% 将旧的变量进行保存
copy = self.getCopy();
[ L1, L2 ] = size( copy.optPricers );
%% 画图，画px~sgima的图 obj.sigma*100
volsurf = 0.10:0.0... |
function [Xw] = stageII(fs,fwfmin,fwfmax,N,Xsabs)
%
%
% Objetive: The main contribution of this stage is the development of a
% Wheezing/Normal breath sound separation based on a constrained
% tonal semi-supervised NMF approach using redundant information
% from the BOI obtain... |
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