text stringlengths 8 6.12M |
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function str = join(pieces,delimiter)
% join join an array of strings using a delimiter
%
% str = join(pieces,delimiter)
%
% pieces is a cell array of strings, delimiter is a string used to join these.
% delimiter may include standard fprintf codes, e.g. \t or \n.
%
% See also SPLIT.
%
% JRI 3/13/07... |
function [u] = homodyne(u, n, wname, sigma)
%HOMODYNE [u] = homodyne(u, n, [wname, sigma])
% author: from QSM.m github, by Kames UBC
narginchk(2, 4)
if nargin < 4, sigma = [0.25, 0.25]; end
if nargin < 3 || isempty(wname), wname = 'hann'; end
wname = validatestring(wname, {'hann', 'hamming', 'gaussi... |
function Rep = rlDeterministicActorRepresentation(Model, ObservationInfo, ActionInfo, varargin)
% RLDETERMINISTICACTORREPRESENTATION construct a deterministic actor
% (policy) representation for reinforcement learning agents.
%
% * Deep Neural Network Representation
%
% REP = RLDETERMINISTICACTORREPRESENTATION(N... |
clear; clc; close all;
restoredefaultpath;
addpath(genpath('lib/'));
addpath('param_files/');
suptitleStr = 'Image62 Green Channel';
DataPath = '../Stripping_Data/';
ElastixPath = '/Users/abhijitc/Documents/Software/elastix-5.0.0-mac/bin/';
MainPath = sprintf('output/%s/',strrep(suptitleStr,' ','_'));
mkdir(MainPath)... |
function yd=ord2a(t,y);
global kp tp zeta u;
yd(1)=y(2);
yd(2)=(kp*u-y(1))/tp^2-2*zeta*y(2)/tp;
|
[X,genelist]=sc_readfile('example_data\GSM3204304_P_P_Expr.csv');
[X,genelist]=sc_rmmtgenes(X,genelist);
[X,genelist]=sc_selectg(X,genelist,3,2);
[X]=sc_selectc(X,20000);
[X,genelist]=sc_selectg(X,genelist,3,2);
|
% Function to run spatial 3 oddity comparison of texture images. Each image
% is physically unique, and subjects compare which is odd (from two
% original / one synth or two synth / one original). Almost identical to
% Balas (2006).
function dnn_textures_expt_12()
%% Experiment number:
expt_num = 12;
%% Set random s... |
function [adj_qual_mat,new_adj_qual_mat,adj_nexts_mat]=adj_Qual(list_ind,b,QUALTHRESH,cann_pts,line_num)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% adj_Qual computes the ellipse fitting quality of adjacent point pairs
% Params:
% p,q are two points
% Connected_Pts... |
function [pose, f, Jc, Jr] = compute_energy3_2D(pose, radii, blocks, view_axis, settings)
H = settings.H; W = settings.W; D = settings.D;
num_points = length(pose.model_points);
indices = pose.model_indices;
model_points = pose.model_points;
centers = pose.centers;
P = pose.P;
rendered_data = pose.rendered_data;
dist... |
% Author: Biao Hu
% 2020-01-19
clear
clc
close all
numProcessor=3;
data=setupDataExample(numProcessor);
info.n = size(data.w,1); % task count
info.m = numProcessor; % processor count
info.rank=rankqueue(data,info); % upward rank value
data.RgoalG=0.95;
sch=schedulstart(data,info);
gantt(sch,info) |
%*********************************************************************
% Micro scale solver (MFEM)
%
% This code is based on:
% Bahriawati, C., & Carstensen, C. (2005).
% Three MATLAB implementations of the lowest-order Raviart-Thomas
% MFEM with a posteriori error control.
% Computational Methods in Applied... |
function val = ninterp(x,y,t)
%NINTERP Evaluate Lagrange interpolating polynomial
% NINTERP(x,y,t) returns the value(s) of the Lagrange
% interpolating polynomial for the points x and values
% y, evaluated at t. x and y must be vectors of the
% same length and x must have distinct entries. t may
% be ... |
function [tracker, param0] = tracker_init_ex(frm,p,opt)
tracker.mask_opt = 0;
img = double(rgb2gray(frm))/255;
[templates,~,~] = init_library_v2(img,p,opt.sz);
d = prod(opt.sz);
% Initialization of library
% N_dict = 6+16;
% for i = 1:N_dict
% tmp = target +(5*i/N_dict)*noise(:);
% ... |
function [P,h] = quantPlot(X,Y,Q)
% [P,h] = quantPlot(X,Y,Q)
% draws quantiles of vector, fills them, plots median
% X is the x-axis values to be averaged over
% Y are the values to be averaged for the Y axis
% Q are the quantiles to plot, can be scalar (e.g. 20 will plot quantiles
% 20% from the median, or a ve... |
function epochs = gps2epochs(gpsWeek,tow)
% gpsWeek = floor(epochs/(604800));
% tow = mod(epochs,604800);
epochs = gpsWeek*604800+tow;
end |
clear
L=[0.2 0.3 0.5];
T=10000;
tmpu=normrnd(0,1,[1,T+length(L)-1]);
y=zeros(1,T);
for i=1:T
y(i)=L*tmpu(1+i-1:3+i-1)';
end
u=tmpu(3:end);
save('2_lag_linear_memory_task.mat','u','y','L') |
function net = cnn_imagenet_init_inception(varargin)
% CNN_IMAGENET_INIT Initialize a standard CNN for ImageNet
opts.scale = 1 ;
opts.initBias = 0.1 ;
opts.weightDecay = 1 ;
opts.cudnnWorkspaceLimit = 1024*1024*1204 ; % 1GB
opts = vl_argparse(opts, varargin) ;
net = dagnn.DagNN() ;
net.meta.inputSize = [299 299 3 1... |
function [ sheet names ] = makeXlsSheets( u,chem,s, r, cfg )
%makeXlsSheets Transfers the data into easy to read excel files about the results.
% Each tab is a new method output with the final two being the unit and
% stream list along with the appendix.
idp=r.idp;
design=r.design;
hierarchy = {'IntVal';'edp'; '... |
function [ ] = aqp_solver( un, is_uv_mesh )
%BFGS_SOLVER Summary of this function goes here
% Detailed explanation goes here
global ver_num order total_volume
u_n0 = un;
u_n1 = un;
u_n2 = un;
p = un * 0;
% theta = 0.8182;
% theta = 0.9387;
theta = 0.6;
num = size(u_n1, 1);
A = get_precomputed_info(is_uv_mesh);
... |
[x,Fs] = audioread('singing44.wav');
output = phaseVocoder(x', Fs, 1024, 512, 1/2);
soundsc(output, Fs);
audiowrite('exercise3.wav', output, Fs);
|
%% Reaction time for movement
% Author: Nisheet (npatel@student.ethz.ch or npatel@ini.uzh.ch)
% Alternatively, contact Ariel Gilad (gilad@hifo.uzh.ch)
% Description:
% Calculates reaction time for movement
% Dependencies:
% 1. first_move_in_delay.mat or first_move_in_delay_forelimb_m2.mat,
% 2. tri... |
function X = mask(tsa, t0, t1, masking)
%
% mTSD = ctsd/Mask(tsd, t0, t1, masking)
%
% INPUTS:
% X = ctsd object
% t0 = sets of start times
% t1 = sets of end times
% masking = 1=NaN times inside trial pairs, 0=NaN times outside trial
% pairs (default = 1)
% NOTE: must be SAME units as tsd!
%
%... |
function [ geo2 ] = supercell( geo1, array )
%SUPERCELL Create a supercell by replicating a geometry.
% geometry2 = SUPERCELL(geometry1,array) generates a new geometry that is
% an array(1) x array(2) x array(3) supercell of geometry1.
%
% See also IMPORT_POSCAR.
geo2 = geo1;
geo2.coords = [];
f... |
function [Xtrain,Ytrain,Xtest,Ytest] = split_db(dbname)
fn = sprintf('~/Data/mldbs/%s',dbname);
load(fn);
n = size(X,1);
r = randperm(n);
nhalf = floor(n/2);
trn_inds = r(1:nhalf);
tst_inds = r(nhalf+1:end);
Xtrain = X(trn_inds,:);
Ytrain = classes(trn_inds);
Xtest = X(tst_inds,:);
Ytest = classes(tst_inds); |
% RTMOCAP_SMOOTH Apply a low-pass Butterworth filter
%
% This function will help you to smooth your data with an appropriate
% filter suited for human motion capture. (See Winter, 1990)
%
% Usage : DATA_SM = RTMocap_smooth(DATA,Fs,Fc,order)
%
% DATA, a N-by-3-by-M matrix of recorded data, with N the number of
... |
function data
fid = fopen('database.txt', 'w+');
for i=1:450
a=num2str(i);
c1='.jpg';
filename=strcat(a,c1);
fprintf(fid,'%s\r',filename);
end
fclose(fid); |
%% SYS800 - Reconnaissance de formes et inspection
% M'Hand Kedjar - December 2016
% Course Project on Age and Gender Classification
function [y, list_images] = get_list_images(path)
list_images = {};
count_images = 0;
folder = list_files(path);
y = [];
names = {};
n = 1;
for i=1:length(folder)... |
% our parameters
p.c1_l_y_gap = 0.7; % lag
p.c2_l_y_gap = 0.1; % lead
p.c1_dl_y_tnd = 0.8;
p.ss_dl_y_tnd = 5;
p.std_shock_l_y_gap = 3;
p.std_shock_dl_y_tnd = 2; |
%filter slice thickness
close all;
clear all;
folderpath = 'D:\IO Cohorts\LCIO'
cd (folderpath)
mincc = 3;
addpath('C:\Users\Mitch\Documents\MATLAB\git\batchconvert');
mkdir (strcat(folderpath, '\5mm'));
all_files = dir;
all_files = all_files(~[all_files(:).isdir]);
num_files = numel(all_files);
for i = 1:num_fi... |
function c = ss_censored( spikes, use )
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/12/2010
%
% ss_censored - wrapper for censored.m
%
% Usage:
% c = ss_censored( spikes, use )
%
% Description:
% Estimates the percent of a cluster that is lost due to censoring.
% See censored.m for mor... |
function [C, sigma] = dataset3Params(X, y, Xval, yval)
%DATASET3PARAMS returns your choice of C and sigma for Part 3 of the exercise
%where you select the optimal (C, sigma) learning parameters to use for SVM
%with RBF kernel
% [C, sigma] = DATASET3PARAMS(X, y, Xval, yval) returns your choice of C and
% sigma. You... |
result = zeros(x,10);
money_sum = 0;
for i = 1:x
money_sum = 0;
x_cor = sum_result_1(i).x;
y_cor = sum_result_1(i).y;
for e = 1:30
result(i,x_cor(e)) = result(i,x_cor(e)) + Consum_car(y_cor(e));
end
for n = 1:10
[diff,money] = level_dif(result(i,n));
... |
Params=load([WorkingP 'PKM.mat']);
GeneralDataFN=[WorkingP 'Params.mat'];
Params2=load(GeneralDataFN);
InterpolationFactor=ceil(Params.TimeBetweenDCEVolsFinal*Params.Options.SubSecondResolution);
HTs=0:Params.TimeBetweenDCEVolsFinal/InterpolationFactor:Params.GoodTs(end)*60;
STsI=1:InterpolationFactor:numel(HTs);
HAIF=... |
function cvecs = CH_intial_2D(N,T,k,seed)
%{
CH_initial_2D initialised the solution matrix cvecs with user specified
initial condition.
Inputs:
-N: number of grid spacings in one-dimension
-T: maximum number of time-steps
-k: specifies which initial condition
-seed: seeds the random number generator
Outp... |
function [vertex,face,d,c] = read_ply(filename)
% read_ply - read data from PLY file.
%
% [vertex,face] = read_ply(filename);
%
% 'vertex' is a 'nb.vert x 3' array specifying the position of the vertices.
% 'face' is a 'nb.face x 3' array specifying the connectivity of the mesh.
%
%
% Copyright (c) 2... |
classdef reactor < handle
properties
s
sc
xpo
kmax
crdsteps
iafull;
tot_kan;
irmx;
tot_crd;
mminj;
power;
end
methods
function obj = reactor(cc)
obj.s=cc.s;
ob... |
[A,B,C,D] = textread('FMM_Treecode.txt','%f %f %f %f');
loglog(B(61:65),A(61:65),'-o');hold on
for i=2:4
loglog(B(((i-1)*5+61):(i*5+60)),A(((i-1)*5+61):(i*5+60)),'-o');
end
loglog(D(61:65),C(61:65),'--o');hold on
for i=2:4
loglog(D(((i-1)*5+61):(i*5+60)),C(((i-1)*5+61):(i*5+60)),'--o');
end
hold off |
function batch = gen_batch_val(net,imdb,bthid,batchsize,neg_num)
tuple_per_num = neg_num + 1;
batchsize = batchsize * tuple_per_num;
total_num = max(size(imdb.val_pair));
st = mod(bthid*batchsize+1,total_num);
en = mod((bthid+1) * batchsize,total_num);
if(st == 0) st = total_num;end
if(en ==... |
function dvdt=delta_t_global(t,v_v)
delta_v=sym('delta_v');
parameter_initialization2;
%o_p_d=(1-volume_ratio).*c_d0./(1-volume_ratio.*(1-delta_v));
%o_p_f=c_f0./(1-delta_v);
%delta_o_p=2*r*T*(o_p_d-o_p_f)/10^5;
%global c_d0;
%global c_f0;
%global volume_ratio;
global delta_h_p;
global volume_ratio;
%o_p=niu*R*T*(c_d0... |
close all
clear all
clc
%% vehicle info
x_min = -3;
x_max = 3;
y_min = -10;
y_max = 10;
x_config_count = 25;
y_config_count = 81;
theta_config_count = 7;
costLog = [];
costMatLog = [];
start_n_goal_nodes_factore = 1;
%% load data from files
adjDirectory = '/home/az/git_repos/phd/road-traversability/data/adjacency/cl... |
function dn = backprop(da,n,a,param)
%SOFTMAX.BACKPROP Backpropagate derivatives from outputs to inputs
% Copyright 2012-2015 The MathWorks, Inc.
if isa(da,'gpuArray')
dn = iBackpropGPU(da,a);
else
dn = iBackpropCPU(da,a);
end
end
function dn = iBackpropCPU(da,a)
[S,Q,N] = size(da);
dn = zeros(S,Q,... |
%% Mean square displacement analysis of particle trajectories.
%
%%
% Mean square displacement (MSD) analysis is a technique commonly used in
% colloidal studies and biophysics to determine what is the mode of
% displacement of particles followed over time. In particular, it can help
% determine whether the particle i... |
function [ x_Id ] = outer_4( I_d, z_ft, G_ft, w, hash, sigma, offset, tau )
%outer_4 この関数の概要をここに記述
% 詳細説明をここに記述
for i = 1:L
[ x_d ] = inner_6( I_d, z_ft, G_ft, w, hash, sigma, offset, tau );
x_Id(:,i) = x_d;
end
end
|
% mesure fermeture bump
% depend de 8 parametres : Voltage et délais des 4 kickers
delai0 =31522324; ddelai=1; k=10; % stepclk (5.6 ns)
voltage0=4000; dvoltage=10 ; k=10; % en volt
r=1.05;
r=1.05;
tango_write_attribute2('ANS-C01/SY/LOCAL.Ainj.1', 'k1.trigStepDelay',delai0-4+1);
tango_write_attribute2('ANS... |
function [ log_l, indicator, epsilon, uvec] = likelihood(data, params,setup)
%computes the log likelihood for the MA model
eps_initial =setup.initial_eps;
lag_length=setup.lags;
indicator=zeros(size(data,1),lag_length+size(data,2));
epsilon=zeros(size(data,1),lag_length+size(data,2));
%data is supposed t... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2012 Analog Devices, Inc.
%
% 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:/... |
classdef FixedPoint<handle
%INTERFACE Summary of this class goes here
% Detailed explanation goes here
properties
h = 'x(i) x(i+1) Error\n';
i = 1;
root;
initial
iterations = 0;
maxIterations = 50;
eps = 0.0000... |
function [ out ] = expect_norm2(U,V,row_cov,dim_cov,i,j,k)
%E[XaXb] = µaµb + ?a,b.
%E[Uki Vkj]
%?a,b = ?ij?kl
% fprintf('i:%d - j:%d \n',i,j+length(U))
out = U(i,k)*V(j,k) + row_cov(i,j+length(U))*dim_cov(k,k);
end
|
plot February change rate and response time.
time=1:1440;
figure(1);
for i=1:28
plotyy(time,FebTime(1+1440*(i-1):1440*i),time,Febpercent(1+1440*(i-1):1440*i));
hold on;
end
grid on;
figure(2);
for i=1:28
scatter(time,Febpercent(1+1440*(i-1):1440*i));
hold on;
end
grid on;
figure(3);
for i=1:28
plot(... |
function Ephys_chan_plot(data, cfg)
% Ephys_chan_plot(data, cfg): plots all the channels that have been loaded
% using Ephys_load_data. Labels are applied based on the channel names. x
% range can be specified in the cfg.
%
%inputs:
% data [struct]: output from Ephys_load_data
% - data
% -... |
clear;clc;
g=9.81; %gravity a
L=1; %assume length of pendulum is 1m
m=1;%suppose m=1kg
tvec = (0:0.01:10);
for i=1:5
figure();
theta = 10*i;
[thetat(i,:),~] = nonlinearpendulum(theta,tvec);
[an, bn, fn] = fourier_a_b_coefs(thetat(i,:), tvec);
subplot(1,2,1);hold on;
plot(fn(1:20),a... |
function [m, Res_term, TV_term, Tik_term] = nlcg_tik(m0, params)
%
% m: susceptibility chi of whole FOV or only local brain tissue
% Res_term: norm of residual/fidelity term (L-curve purpose)
% TV_term: norm of TV term
% Tik_term: norm of Tik_term
%
% argmin ||Res_wt * (F_{-1} * D * F * sus_mask * chi - tfs)|| + TV_reg... |
function RestoredImage = WienerFilter_fft(y,h,sigma);
% RestoredImage = WienerFilter_fft(y,h,sigma);
% y: Degraded image (with blur and noise)
% h: Degrade kernel
% sigma: standard deviation of noise
R = size(y,1); %get number of rows
C = size(y,2); %get number of columns
Yf = fft2(y);
Hf = fft2(h,R,C);
Syy = abs(Yf).^... |
function hor800meV_script
%demo_dir='c:\temp\horace_demo';
demo_dir=pwd;
%demo_dir=fileparts(which('demo_script'));
%==================================================================================================
% Unzip the data contained in the demo folder, and copy demo
%=========================================... |
clc; clear;
load('gesture_data_dmp_weights');
% Discrete EM algo
demos = [static_, iu_, triangle_, letterS_, UL_slash_, LL_slash_];
K = 6;
m = size(demos,2); % number of examples
m_all = m/K;
train_ratio = 2/3;
m_train = m/K*train_ratio;
n = num_basis*3; % features per demo.
W_all = zeros(n, m); % weights
for i = 1:... |
% Example 14.6 -- Table 14.2 -- differencing with uneven step
clear all
k = -5:1:-1;
h = .5*10.^k; h2 = 2*h;
exact = 1;
meth1 = h./(h.*h2)*exp(0) + (h./h2.*exp(h2) - h2./h.*exp(-h)) ./ (h+h2);
meth2 = (exp(h2)-exp(-h)) ./ (h+h2);
format long g
err1 = abs(meth1-exact)
err2 = abs(meth2-exact) |
clc
timenow=0.01;
timeglobal=0;
tglobal=tic;
matcounter = 1; % Starting row for output matrix
max_operation = 5; % Maximum time robot will move
matrixsize = max_operation * 100 + 100; % Based on the time for operation, will wait 1 second after robot stops to end recording
Sheet1Mat = zeros(matrixsize,14);... |
function dcmFolder2MATobject(PathName,MaxVarSize)
% function dcmFolder2MATobject(PathName,MaxVarSize)
% ------------------------------------------------------------------------
% This function converts the DICOM files in the folder PathName to a MAT
% object which is stored as a file called IMDAT in a new subfold... |
function [R]=CombineFactors(factors)
% CombineFactors.m
% Direction(right, left), Condition(gap, overlap)
% This is an 2*2 experiment
% gap:1; overlap:2
% left:1; right:2
% create [R] = [1, 1; 1, 2; 2, 1; 2, 2]
tmpNum=1;
for i=1:length(factors)
tmpNum=tmpNum*factors(i);
end
R=zeros(tmpNum, length(factors));
for i=... |
%% prep3_performanceIndicators.m description
% This file predefines the variables that will be used to track performance
% indicators over the simulation runs.
% Add the code for your own performance indicators to this file.
%% Performance indicators.
% Actual fuel savings, comparing the actual fuel use to the tota... |
% open figure
% adds fill for all boxes for plotFig5_Sommerdata
function addBoxPlotFillAll(colors,num_subdiv,num_total)
% ADDBOXPLOTFILLALL adds filled in patch elements for box plots of gcf
if nargin < 2
num_subdiv = 5;
num_total = 30;
end
ax = gca;
b = ax.Children(end);
bc = b.Children;
% box objects are 61:... |
function D = bspline_approx(k,t,x,M)
% B-spline curve control point approximation with known knot vector.
%
% Input arguments:
% k:
% B-spline order (2 for linear, 3 for quadratic, etc.)
% t:
% knot vector
% x:
% B-spline values corresponding to which data points are observed
% M:
% d-by-m matrix of observe... |
clear all
clc
%% Parameters
% Simulated data set (uncomment the data set to be used)
data_path = 'sim_data/straight walk, 1000 steps.mat';
%data_path = 'sim_data/Closed trajectory, 1 loop.mat';
%data_path = 'sim_data/Closed trajectory, 10 loops.mat';
load(data_path)
display('Simulated data loaded')
global simdata ... |
% op_rings.m
clear all
close all
clc
wL = 6.328e-9;
k = 2*pi/wL;
ES = 1e-3;
a = 0.01;
nR = 101;
zP = 0.1;
xQ = linspace(0,a,nR);
rQP = sqrt(zP^2 + xQ.^2);
EP = (ES ./ rQP) .* exp(-1i * k * rQP);
%EP_sum = sum(EP)
EP_sum = 0;
T = zeros(1,nR);
for c = 1 :nR
if abs(angle(EP(c))/pi) < 0.5;
EP_sum = EP_... |
%% FingerPrint Demo
% If manual comparison by a fingerprint expert is always done to say if two
% fingerprint images are coming from the same finger in critical cases,
% automated methods are widely used now.
%
% Among all the biometric techniques, fingerprint-based identification is
% the oldest method which... |
function mps_outputFolder = LymphNodeFuseCNNPredictions(CNN_image_folder,BatchFolder,PredictionsTextFile,opt)
%% PARAMS
if ~isfield(opt,'NumberBatches')
opt.NumberBatches = 20;
end
if ~isfield(opt,'BatchStartIndex')
opt.BatchStartIndex = 1;
end
if ~isfield(opt,'ope... |
clear all;
clc;
n = -10:10;
x = n+3;
[esDePotecia,potencia] = esFuncionDePotencia(n,x);
if(esDePotecia)
disp('Es funcion de potencia');
disp(['La potencia es: ',num2str(potencia)]);
end
[esDeEnergia,energia] = esFuncionDeEnergia(n,x);
if(esDeEnergia)
disp('Es funcion de energia');
disp(['La energia e... |
%setAxes
%Self-explanatory
xL = xlim;
yL = ylim;
line([0 0], yL); %x-axis
line(xL, [0 0]); %y-axis
set(gca,'fontsize',12); |
clear
clc
close all
format compact
%% Define System to Identify
SysID = 3;
switch SysID
case 1 %First Order Linear System
A = [-3];
B = [1];
C = [3];
D = 2;
x_deriv = @(x,u) A*x + B*u;
y_out = @(x,u) C*x + D*u;
case 2 %Second Order Non-Linear Syste... |
ampli = input('Please enter how much you want to raise/decrease the volume: ');
in_f= 'ben_trim.wav';
[y, fs] = audioread(in_f);
%sound(y,fs);
amp_new = y*ampli;
audiowrite('bensound_amp_high.wav', amp_new, fs);
% clear y fs;
% out_f = 'bensound_amp.wav';
% [y, fs] = audioread(out_f);
% player = audioplayer (y, fs... |
function [ex_mat ex_mats] = TestImage_Refine(ex_mat_ini, M, I, in_mat, minDim, minTz, maxTz, delta, photometricInvariance, method, verbose)
% adding 2 subdirectories to Matlab PATH
AddPaths
% preCalculation
[marker, img, bounds, steps, dim] = preCal(in_mat, M, I, minDim, minTz, maxTz, delta, verbose);
... |
function [ sum_rhs ] = bellman_rhs( currS, currA, V )
p = 0.4;
sh = currS + currA; %if you get heads then current captial goes up by the "action" amount
st = currS - currA;
if sh > 100
sh =100;
end
if st < 0
st = 0;
end
st = currS - currA; %if you get tail then current capital goes down by the "action" amount... |
%converts an input image to opponent colorspace
function new_image = rgb2opponent(image)
[r, g, b] = getColorChannels(image);
o1 = (r-g)./sqrt(2);
o2 = (r+g-2*b)./sqrt(6);
o3 = (r+g+b)./sqrt(3);
new_image = cat(3, o1, o2, o3);
end |
function [W, W_hist, loss_steps] = newoasis(images, labels, agress, ...
total_steps, seed, filename)
% The difference between old and new oasis is that the new one chooses
% randomly the triplet (pivot,plus,minus), instead of looping (in
% random order) over pivots, then plus... |
function [printusage, infostr, key, val, scell] = set_id_check_inputs(functionname, varargin) %<<<1
% function identifies and partially checks inputs used in infoset* functions
% if printusage is true, infoset* function should call print_usage()
%
% input possibilities:
% ... |
classdef DataSource < handle
methods(Abstract)
% actually load this into the database, assume all dependencies have been loaded
loadInDatabase(src, database);
end
methods
function str = describe(src)
% return a string describing this datasource
str = class(... |
function re_vector = lbpCodingOld(image)
% 最传统的ibp编码
[row column num] = size(image);
re_vector = zeros(row,column,8);
for i = 2:row - 1
for j = 2:column - 1
matrix = image(i-1:i+1,j-1:j+1,1); % 取出3*3矩阵块
value = matrix(2,2);
index = matrix > value;
re_vecto... |
function [col,ins] = convsig2c(freq)
%this function chooses the colours that display on the led in relation to
%the signals that generate it
cs = freq/(1000/255);%change the range to match the led image
ins=cs;
if cs <= 85
col= 3;
elseif ((85<cs) && (cs <= 170))
col=2;
elseif cs > 170
col =... |
function class_nameObj = method_name(class_nameObj,arg1)
% The "method_name" method ... TODO: Add description
%
% SYNTAX: TODO: Add syntax
% class_nameObj = class_nameObj.method_name(arg1)
%
% INPUTS: TODO: Add inputs
% class_nameObj - (1 x 1 package_name.class_name)
% An instance of the "package_name... |
%%
clear all;
clear cache;
close all;
global channelNumbers collectionInterval countNew isCollecting indexFlip collectFlag inNam dataSample imgArray stimTime startTime stopTime rawWindow trials labeled Hd mode subject repeat_trials numDevices samplingRate xx yy;
%% Data Structure initialization variables
%dataSample =... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This function runs a simulated annealing process
% to find the best fit for the model
% for young and old. All the other parameters are fixed,
% only epsilon_str and epsiln_pfc change
% Input parameters
%
% simAnnVarsAge = simAnnByAge(100,10)
function s... |
function readSampleWaveforms(ch)
global FileInfo;
global Handles;
global WaveformInfo;
w = waitbar(0,'Please wait, reading sample waveforms');
for j = 1:length(ch)
PacketNumbers{j} = [];
for i=1:length(FileInfo)
nums = find(FileInfo(i).PacketOrder == ch(j));
PacketNumbers{j} = [PacketNumbers{... |
clear;clc;close all;
entrada = [0 0;0 1;1 0;1 1];
saida = [0 1 1 0]';
numcentros = 10;
tamanho = size(entrada,1);
centros = entrada;
% CALCULO DA DISTANCIA MAXIMA ENTRE OS CENTROS
% ============================================
soma = 0;
for i = 1 : numcentros
distancias = zeros(tamanho,numcentros);
for j = ... |
%Andrew Brown Homework 9 Problem 3
clc
clear
close all
%Model an elliptical staircase in different ways
%h=4 n=2 elipse
%define variables
t=linspace(-400,400,10000); %independent variable
a=8; %m
b=4; %m
h=4; %m
n=2; %m
[x,y,z] = Staircase(a,b,h,n,t); %Make the staircase
subplot(2,3,1) %place in subplot
plot3(x,y,z... |
%% 改进的re-adjustScore代码。代码正确，效率较re-adjustScore2高。
function score1 = readjustScore( score, adjList)
% 把原来的分数s， adjust为PNR(s)
exceptZeros = score > 0; % 不对分数为0的link进行调整
step = adjList(2,1)-adjList(1,1);
bin_theta = adjList(1,1) - step;
score = score - bin_theta;
binIndex = floor(score/step)+1; % 注意，若去除0的hybriddistribution... |
function [sample, spheresample, linesample, samplesize] = generatesphereline(sampleparam,rgparam,varargin)
%==========================================================================
% Syntax
% [sample, spheresample, linesample, samplesize] = generatesphereline(sampleparam,rgparam)
% [sample, spheresample, linesam... |
%% Calibration Eye Validity
%
% Defines the validity of calibration eye sample.
%
%%
classdef CalibrationEyeValidity < EnumClass
properties (Constant = true)
%% InvalidAndNotUsed
% The eye tracking failed or the calibration eye data is invalid.
%
% CalibrationEyeValidity.... |
function [fl, fh, fc] = nth_octave_freq (n, k, f0)
if (nargin < 3)
f0 = 1e3;
end
if (nargin < 2)
k = 0;
end
if (nargin < 1)
n = 3;
end
fc = power (2, k/n) * f0;
fh = sqrt (2.^(k/n) .* 2.^((k+1)/n)) * f0;
% = sqrt (2^((2*k+1)/n)) * f0;
% = (2^k) * sqrt (1/n) * f0;
fl = sqrt (2.^((k-1)/n) .* 2.^(k/n)... |
function [e, J_e_rob, J_e_lmk] = error_observe(rob, lmk, y)
% in:
% rob: robot pose (x, y, th)
% lmk: landmark position (px, py)
% y: polar measurement (d, a)
% out:
% e: estimation error
% J_e_rob: Jacobian of error wrt. robot pose (2x3 matrix)
% J_e_lmk: Jacobian of error wrt. landmark position (2x2 matrix)
% ... |
function results = mc_nca(featuremat,pheno,edgethresh,FDRthresh,nets,varargin)
p = inputParser;
%addRequired(p,'featuremat');
%addRequired(p,'pheno');
%addRequired(p,'edgethresh');
%addRequired(p,'FDRthresh');
%addRequired(p,'nets');
addParameter(p,'nPerm',0);
addParameter(p,'nuisance',[]);
addParameter(p,'verbose',0);... |
function model = ibpmultigpSortModel(model)
%% Sort etadq according to its values
[~, sorteta] = sort(sum(abs(model.etadq.*model.kern.sensitivity)),'descend');
if any(sorteta~=1:model.nlf),
temp = model.latX;
for q = 1:model.nlf,
model.latX{q} = temp{sorteta(q)};
end
model.etadq = model.etadq(:... |
function makeplot(hObject,event,Data,Timestamp,hplot,htxt1,htxt2)
n = get(hObject,'Value');
n = ceil(n);
if n == 0; %slider bar remaps from 1 to end, excludes zero
n = 1;
end
set(hplot,'Zdata',Data{n},'Cdata',Data{n});
set(htxt1,'String',{['Frame ' num2str(n)]});
set(htxt2,'String',{['Time ' Timestamp{n}]});
draw... |
function arplot_dcct(monthStr, days, year1, month2Str, days2, year2)
%ARPLOT_DCCT - Plots various performance data from the ALS archiver
% arplot_dcct(Month1 String, Days1, Year1, Month2 String, Days2, Year2)
%
% EXAMPLES
% 1. arplot_dcct('January',22:24,1998);
% plots data from 1/22, 1/23, and 1/24 in 1998
%
% ... |
for i = 1:size(raw,1)
if ~isempty(raw{i,40})
try
TMT_vals1 = str2num(raw{i,40});
catch
TMT_vals1 = raw{i,40};
end
else
TMT_vals1 = NaN;
end
if ~isempty(raw{i,41})
try
TMT_vals2 = str2num(raw{i,41});
catch
... |
function obj = reduceunion(obj)
%REDUCEUNION Remove redundant hyper-rectangles in a union (array).
% B = reduceUnion(A)
%
% All redundant hyper-rectangles in A (i.e. ones that are contained in
% others) are removed. B is the result.
%
% (C) 2011 by Truong X. Nghiem (nghiem@seas.upenn.edu)
% Remove thin sets
o... |
% Relevant tests for modification of MixedLogitDemandNew
clear
testdiff = @(x,y)assert(abs(x - y)<10e-4, 'Obtained %f instead of %f' ,x, y);
testtrue = @(x,y)assert(abs((x - y)/y)<1e-3);
testtrue1 = @(x,y)assert(abs((x - y)/y)<1e-2, ...
'Percentage difference is %f', abs((x - y)/y));
testtrue5 = @(x,y)asser... |
function [bnet,engine] = kyu_BN_paramlearn(data,dag,ns,alpha_d,option)
% Construct a full Bayesian Network model by learning parameters (CPTs)
% given the graph and data
% input
% data: training data with a BNT format (rows:nodes,cols:patients)
% dag: a DAG matrix
% ns: node sizes
% alpha_d: equivalent sample size fo... |
function gb=gabor_fn(sigma,theta,lambda,psi,gamma)
%
%
% sigma_x = sigma;
% sigma_y = sigma/gamma;
%
% % Bounding box
% nstds = 3;
% xmax = max(abs(nstds*sigma_x*cos(theta)),abs(nstds*sigma_y*sin(theta)));
% xmax = ceil(max(1,xmax));
% ymax = max(abs(nstds*sigma_x*sin(theta)),abs(nstds*sigma_y*cos(theta)));
% ymax... |
classdef SERIAL_CONNECTOR < CONNECTOR_CLASS
% Serial通信用クラス
%
properties
result
serial
baudrate = 115200; % Arduinoと合わせる
end
properties(SetAccess=private)
port
end
methods
function obj = SERIAL_CONNECTOR(param)
% 通信する対象毎にインスタンスを作成する．
% param.port : COM n... |
function day_of_week(n)
if n == 1
fprintf('Sunday,');
day_type = 2;
elseif n == 2
fprintf('Monday,');
day_type = 1;
elseif n == 3
fprintf('Tuesday,');
day_type = 1;
elseif n == 4
fprintf('Wednesday,');
day_type = 1;
elseif n == 5
fprintf('Thursday,');
day_type = 1;
elseif n == 6
... |
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