text stringlengths 8 6.12M |
|---|
function [pathDay,pathNight]=terminator(lat1,long1,time,lat2,long2)
% A new terminator program based on getting just the solar elevation angle
% along the path instead of the intersection with the actual terminator
% Can take in multiple values for lat2/long2 for a given value of
% lat1/long1
%
% Written By: Michael... |
%% Stelling 5
%
% De onderstaande code wordt zonder fouten uitgevoerd:
%
% ======= Code =======
% clc
% clear variables
% for nHerhaling = 1:10 ... |
% Read XCAT
clear all
close all
clc
%fid = fopen('MengPhantom1_atn_1.bin'); % change filename
%phant = single( fread(fid,'single') ); % read entire phantom into a vector
%phant = reshape(phant,281,512,601) ; % reshape
% load '1_mm_pelvis.mat';
% load 'DistortedPelvisPhantoms.mat'; % It includes Pelvis1,2,3,4 (300... |
function sampleTASMaxSeries
%%
% A series of TAS (Temperature of Air Surface) yerly maxima is useful to understand how heat waves evolve (Alessandro Dosio, jrc).
% It is a series of yearly maxima, therefore it is fit for a GEV analysis, while a GPD analysis is meaningless.
%%
addpath('../');
dt = load('timeAndSeries... |
%% let's see if I know what's going on with Fourier stuff...
N = 101;
a = 1/2;
b = 1/8;
x0 = 1;
x1 = -1/16;
x = linspace(-1, 1, N);
f = zeros(1,N);
f(abs(x) < a) = x0;
f(abs(x) < b) = f(abs(x) < b) + x1;
figure; plot(x, f);
%% Fourier coefficients
k = 100;
fk = x0./(pi*(1:k)) .* sin(pi * a * (1:k)) + ...
x1./(p... |
function PWGraph(basedir, modes, num, duration)
% bytes per second
f = figure
l={};
for m = 1:length(modes)
switch modes(m)
case 1
d='ae';
draw='r.-.';
l = {l{:} 'Authentication and encryption'}
case 2
d='auth';
draw='g*-';
l = {l{:} 'Authentication'}
case 3
d='crc';
draw='b+... |
%QT_UNIT Create unit quaternion
%
% Syntax:
% q = qt_unit(u,angle)
%
% In:
% u - 3x1 vector representing axis of rotation or
% N unit vectors as 3xN matrix
% angle - Rotation angle in radians or N angles as
% 1xN matrix
%
% Out:
% q - Rotation quaternion in form [s;v]
% or N quate... |
% Define path to folders
root = pwd();
scripts = [root '/ComplementaryScripts'];
data = [root '/ComplementaryData'];
% Check whether RAVEN is installed
if ~exist('ravenCobraWrapper.m')
warning(['RAVEN does not seem to be installed. For model curation, '...
'you are advised to install RAVEN Toolbox, wh... |
function correlation=MetricsCorrelation(N,S,R,E,w)
%%function to measure the correlation between atypicality and novely
c=corrcoef(N,((S*w(1)+R*w(2)+E*w(3))/(w(1)+w(2)+w(3))));
correlation=c(2)^2; |
function [ffdata] = readdofsFF(fullfilename,ffdata)
%
% readdofsFF.m
%
% Read FreeFem++ DOFs from .dat file.
%
% inputs: fullfilename > full path (e.g. sthg like: fullfile(pathname,filename))
%
%
disp 'readdofsFF'
tic;
uxy = load(fullfilename);
u = uxy(:,1); % [0,1,2,3,4] for p,u,v,w,rho
x = uxy(:,2)... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 本函数为策略运行按钮的callback。运行策略等到买卖清单，运用买卖清单计算
% 各类指标，
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [output,StrategyExample] = runstrategy_callback(h,popupmenu_Input,handle,radio13,handle_push,Configure)
% 清... |
function Volatility=ImpliedVolatility(aSpot,aStrike,aTime,aOption,aIsPut)
sigma=0.2;
value=100 + aOption;
myExpiry=((169000-aTime)+3600*24*daysact('13-jun-2016', '16-sep-2016'))/(3600*24*252);
while any(value-aOption) > 1e-9
[call, put] = BlackScholes(aSpot,aStrike,myExpiry,0,sigma);
if aIsPut==1,
val... |
function results = RBES_look_around(str_arch)
jess reset;
jess batch ".\\clp\\look_around_rules.clp";
jess(['bind ?f (assert-string "' char(str_arch) '")']);
ff = jess('modify ?f (source yes)');
jess focus LOOK-AROUND;
jess run;
archs = SMAP_retrieve_archs();
ind = cellfun(@(x)isequ... |
load('/Users/jannisborn/Dropbox/GitHub/TNM_project/data/behav_analyzed_hgf_newpriors/subject_18.mat')
x = subject.behav.css.input; % cue-stimulus-contingency
%y = subject.behav.css.response_aversive;
%HGF_input_seq = sigm(subject.hgf.sim_neutral.traj.mu(:,2));
%y = HGF_input_seq;
y=sigm(sim_2.traj.mu(:,2));
%%
clc
pi... |
function X = rfft(x,len)
% RFFT calculates the spectrum of a real valued time series
%
% X = rfft(x)
% X = rfft(x,len)
%
% Performs a FFT on real valued x vectors or matrices. The symmetric part of the
% transform is cut and only one half is preserved.
% For len see FFT.
% Klaus Hartung (hartung@aea.r... |
% $Header: svn://.../trunk/AMIGO2R2016/Kernel/AMIGO_ranking_exp.m 770 2013-08-06 09:41:45Z attila $
function [r_par_rank_index,r_y0_rank_index,r_rank_mat,r_sorted_par_rank_mat,r_sorted_y0_rank_mat,...
par_rank_index,y0_rank_index,rank_mat,sorted_par_rank_mat,sorted_y0_rank_mat]= ...
AMIGO_ranking_e... |
%% Create signal:
main_tx_sdr;
%% USRP PARAMETERS
Fs = 3.125e6;
Fc = 2.3e9;
TxGain = 70;
%% setup USRP
% check connected boards;
htx = comm.SDRuTransmitter();
% B210
htx.Platform = 'B200';
htx.SerialNum = '313191B';
htx.MasterClockRate = 12.5e6;
htx.CenterFrequency = Fc... |
function [data, source_signal, Asignal] = gen_data(T, D, N, K, snr, ssnr, samesignal, samenoise, pink, distr)
% generate data as linear mixture of K correlated components and background noise
%
% T: number of time samples
% D: number of sensors
% N: number of subjects/viewings
% K: number of correlated dimensions... |
function DAG = get_degree_assortativity_per_month(Aframes,ACTIVE)
months = length(Aframes);
DAG = zeros(months,1);
for m=1:months
A = decompress_adjacency_matrix(Aframes{m});
A = A(ACTIVE{m},ACTIVE{m});
DAG(m) = assortativity(A);
end
end |
[num,text,all] = xlsread('MS-9');
m = all(:,2);
n = m(2:length(m));
for i = 1:length(n)
if (n{i} == 'P')
x(i,:) = 1;
else
x(i,:) = 0;
end
end
dim = size(num);
precision = [];
recall = [];
accuracy = [];
ix = 1;
for t = 0:.05:1
idx = randperm(dim(1));
nu... |
function gcodeCoordinates = createGcodeCircle(center, radius, normalDirection, spacing, startZ, endZ, startX, endX, layerNum)
perimeter = 2*radius*pi;
spcingNum = round(perimeter / spacing);
firstPoint = center;
gcodeCoordinates = zeros(spcingNum+1, 4);
Zspacing = (endZ - startZ)/spcingNum;
Xspacing = (endX - startX)... |
%% By generating random number, create color image
%% Code
% generate R, G, B
R = rand(200, 350);
G = rand(200, 350);
B = rand(200, 350);
% Adjust number from 0 to 255 by multiplying 255 to R, G, B
R = R * 255;
G = G * 255;
B = B * 255;
R = uint8(R);
G = uint8(G);
B = uint8(B);
ColorImage = cat(3, R, G, B);
figure... |
function [ slope,offset,score,t,vars] = ortho_robust_coeff( PTS )
% Gives the slope fitting the cloud of points PTS
% Pts is as :
% x1 x2 x3 ... xn
% y1 y2 y3 ... yn
% Uses robust orthogonal fitting
% S. Dmitrieff 2015
t0=pi/2;
t=fminsearch(@(t) out_of_lineness2D(PTS,t),t0);
[score,~,res,unres]=out_of_lineness2D(... |
Img=imread('white_house256.jpg');
imshow(Img)
title('original image')
[M,N]=size(Img);
n=zeros(1,256);
for k=0:255
for i=1:M
for j=1:N
if Img(i,j)==k
n(k+1)=n(k+1)+1;
end
end
end
end
p=n./(M*N);
plot(0:255,p,'.')
title('The normalized histogram of original... |
% Read free field or small field NATRAN input file and convert to cell structure data model
% Anthony Ricciardi
%
% Inputs
% filename = [string] text file input in ZAERO format
%
% Output
% FEM [cell] input file data
%
function FEM = importFieldModelAdvanced(filename)
fid = fopen(filename);
%% Entries
e... |
%% 1
pendinit
eig(Afc)
%not stable in thetha thethaprim
ctrb(Afc,Bfc)
rank(ans)
%Controllable
eig(Afc-Bfc*[-7.5343 -1.3465 0 -0.2216])
% not stable in theta ????? ask
%% elips
ar=sqrt(0.62^2+9.4^2);
ar=ar*0.7;
br=sqrt(0.19^2+2.5^2);
br=br*0.7;
alfar=atan(9.4/0.62); |
function results = showErrorStatistic(yReal,yPre,errorType)
%%
% Show the statistical results of errors between real and predicted outputs;
%
[num, n1]= size(yReal);
n2 = size(yPre,2);
if n1 ~= n2
error('Dimentions of Matrices are not matched!');
end
switch errorType
case 'MSE';
for i=1... |
%% Begin eye tracking ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Eyelink('Message', 'TRIALID %d', puupCount);
Eyelink('StartRecording');
WaitSecs(0.1);
Eyelink('Message', 'SYNCTIME'); %Mark zero point on EyeLink file
eye_used = -1;
Screen('FillRect', el.window, el.backgroundcolour);
Screen('TextFont', el... |
function [mu00,mu10,mu01,mu11,mu20,mu02,mu21,mu12,mu30,mu03]=momentos_centrales(I)
[m00,m10,m01,m11,m20,m02,m21,m12,m30,m03]=momentos_no_centrales(I);
global center
xm=m10/m00;
ym=m01/m00;
center = [xm ym];
u=m00;
mu00=m00;
mu01=0;
mu10=0;
mu20=m20-u*xm^2;
mu11=m11-u*ym*xm;
... |
% Data Analysis Version 1.7
% Updated November 13,2017
clear
clc
close all
% Load in the completed variable mat file
% inputting assignment title
AssignName = input('Please input assignment name','s');
NameString = sprintf('%s_RESULTS.txt',AssignName);
load('ALLDATA.mat')
diary(NameString)
% Renaming Variables
Total... |
%%% Model first developped by of Scranton & Vasseur 2016 (Theor Ecol.)
%%% Script by Picoche & Barraquand 2017
%%% This function computes the growth response to temperature
function growth = growth_response(tau)
global a_r_tau0 tau0 E_r k
growth=a_r_tau0*exp(E_r*(tau-tau0)./(k*tau*tau0));
end |
function testControls
% Leaves out the sensor network and just tests the controller and
% simulation of the Pursuer/Evader dynamics. Similar to PEGSimMain.
%
% Put this file in the main simulator directory (or make sure your paths
% are set properly) to run it.
%
% remember to comment out any SN intialization/use (ex.... |
function [smap] = saliency_ittikochniebur(input_image,image_path)
gbvs_install
% get saliency map:
smap = ittikochmap(input_image);
smap=smap.master_map;
end
|
function [J, grad] = costFunctionReg(theta, X, y, lambda)
%COSTFUNCTIONREG Compute cost and gradient for logistic regression with regularization
% J = COSTFUNCTIONREG(theta, X, y, lambda) computes the cost of using
% theta as the parameter for regularized logistic regression and the
% gradient of the cost w.r.t. ... |
function p=chi(x)
% x 是一幅图像
% 检测卡方分析的函数
n=sum(hist(x,[0:255]),2);% 矩阵按行求和,hist求频数,得到的是一个列向量
h2i=n([1:2:255]);% 取奇数
h2is=(h2i+n([2:2:256]))/2;
filter=(h2is~=0); % 过滤器
k=sum(filter); % 统计不是0的
idx=zeros(1,k); % 生成数组
for i=1:128
if filter(i)==1
idx(sum(filter(1:i)))=i;% 计算当前有多少1
end
end
r=sum(((h... |
function printResults(se, s)
[SDR, SIR, SAR, perm] = bss_eval_sources(se,s);
% fprintf('SDR target: %0.4fdB\n', SDR(1));
fprintf('SDR Interference: %0.4fdB\n', SDR(2));
% fprintf('SIR Target: %0.4fdB\n', SIR(1));
fprintf('SIR Interference: %0.4fdB\n', SIR(2));
% fprintf('SAR Target: %0.4fdB\n', SAR(1));
fpri... |
close all
clear all
clc
data = readtable('0015_20 Experimental Data graphs.xlsx','Range','A1:T100');
noRead = [1,2,3,4,5,7,8,11,12,13,14];
data(:, noRead) = [];
dataArray = table2array(data);
c=1;
for i = 1:3:99
L3 = [dataArray(i,2) dataArray((i+1),2) dataArray((i+2),2)];
Ave3L= mean(L3);
AveL(c) = Ave3L... |
function [ y ] = averagevalue7( x )
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
y = zeros;
y(1) = (1/3)*x(1);
y(2) = y(1) + (1/3)*x(2);
y(3) = y(2) + (1/3)*x(3);
for i = 4:length(x)
y(i) = y(i - 1) + (1/3)*(x(i) - x(i - 3));
end
end
|
function [ H, corresp ] = homography( corresp1,corresp2 )
corresp = zeros(4,1);
for i = 1:4
corresp(i)= randi([1,size(corresp1,1)],1);
end
X=zeros(size(corresp,1),2);
X1=zeros(size(corresp,1),2);
for i=1:size(corresp,1)
X(i,:) = corresp2(corresp(i),:);
X1(i,:) = corresp1(corresp(i),:);
end... |
clc
clear all
format long
T = [10,20,30]; % Simulation Time
dt = 0.01; % Time Step
tau=[0.1,.5,1]; % Refractory Period
rup = 0.5/dt; % For leaving the Up State
rdn = 1-rup; % For leaving the Down State
sigmaup = 1; % Up State
sigmadn = -1; % Down State
... |
%
% matlab file InfantDataForwardSelectionMethod
%
% Author1: Jesus G Cruz-Garza (jesusc90@gmail.com)
% Author2: Zachery R Hernandez
% Date: April 2014
%
% Function : Forward Selection of EEG Channels that contribute the
% most to classification.
%
% Description: Identify and... |
trellis(1) = struct('ub',0,'lb',0,'state','unvisited','supporters',[2,3]);
trellis(2) = struct('ub',0,'lb',0,'state','unvisited','supporters',[4,5]);
trellis(3) = struct('ub',0,'lb',0,'state','unvisited','supporters',[4,5]);
trellis(4) = struct('ub',0,'lb',0,'state','unvisited','supporters',[6,7]);
trellis(5) = struct(... |
clc;
clear all;
close all;
x = [1 2 3 4];
N = 4;
x=[x,zeros(N-length(x))];
i=sqrt(-1);
w = exp(-i*2*pi/N);
n=0:N-1;
k=0:N-1;
nk=n'*k;
W = w.^nk;
X = x*W;
ax = abs(X);
wx = angle(X);
disp(x);
disp(X);
w1 = exp(i*2*pi/N);
W1 = w1.^nk;
ix = (1/N)*X*W1;
disp(ix);
subplot(4,1,1); stem(n,x);
s... |
%%
% Filename: m3dof_jacobian.m
% Desc: calculates the body Jacobian for the planar 3DOF robot
% INPUT:
% q (3x1): joint angles in radians
% l (3x1): length of the links
% OUTPUT:
% J (3x3): body Jacobian expressed in base frame
%
% 2015 alessandro.giordano@dlr.de
%%
function [J] = m3dof_jacobian(q,l)
%... |
function [ newobj ] = getByIndex(obj, idx)
%GETBYINDEX 从已有Ticks里拿出idx对应的条目
% 标量不变，只对时间序列取idx对应条
% 类似于 b = a( a>0 )的用法
% 例子 newtks = tks.getByIndex(tks.last > tks.askP(:,1) )
% 注：tks.latest 放弃， .data, .data2, .headers放弃
% 程刚；20140726
% 程刚，140829；使用这个写法： newobj.(fd) = obj.(fd);
newobj = Ticks;
%% 标量fields
flds =... |
function g = gplvmgradient(params, Y, X)
% GPLVMGRADIENT Gradient of likelihood with respect to parameters.
global SQRT % Tells us to optimise in sqrt of theta space
dataDim = size(Y, 2);
numData = size(Y, 1);
lntheta = params(end-2:end);
if nargin < 3
latentDim = (length(params) -3)/numData;
% We must have to ... |
clear all
h=read_hdr('perf001.hdr');
c = read_img2(h,'perf001.img');
curve = [];
for count=1:11
str=sprintf('perf%03d.img',count)
t=read_img2(h,str);
p=t-c;
%curve = [curve; mean(mean(mean(p(28:36,28:36,1:end)))) ]
curve = [curve p(20,35,5)]
subplot 211,show(p(:,:,5));
subplot 212,show(t(:,:,5));
pause
end
|
function inputPaths = savePaths4mayaviRGBchu(varargin)
% fileName, inputPaths
%function [x, y, z, s, connections] = savePaths4mayavi(fileName, paths)
%
% input: struct
% or cell of struct
if length(varargin) == 1
% default output file name
fileName = '~/f';
inputPaths = varargin{1};
else
... |
% YDEFAULT is the default value for an action (e.g. the value for 'no-action')
function [bnet,engine] = learnBNetOrderK(traces,XSIZE,YSIZE,ORDER,YDEFAULT)
VARS = XSIZE*ORDER + YSIZE*ORDER;
data = [];
for i = 1:size(traces,1)
tmp = load(traces(i,:));
for j = 1:ORDER-1
firstrow = tmp(1,:);
for... |
function vdoc_as_post(name)
% scan the optimization output files for new values and update the workspace
% make vinf global and define drivetrain switch
global vinf
drivetrain=vinf.drivetrain.name;
% print parameter for debugging
debug=0; % 1==> writes additional output to command window, 0==> no debug printing
if e... |
function imOut = enhance_brightenVessels(im)
% quick'n'dirty
% we clip the "foreground" of Otsu's threshold output (above level)
% this in practice seems to produce better segmentation results, but we
% have to see about the robustness of this
% One slice
if length(size(im)) == 2
... |
%This function creates the specified variable in the specified nc file. If
%it already exists in the file, this function returns an error. In that
%case, call overwrite_nc_variable to overwrite the original variable, which
%does not return an error if the variable didn't exist in the first place.
%Takes in the number... |
function [xvals,yvals] = ImportTracks(file, wormUIDs, tracklength, numworms, altcamxvals)
%ImportTracks - Modular function that will import the x and y coordinates
%of individual worm tracking data from an excel spreadsheet.
% Required Inputs:
% file = name of excel spreadsheet containing the tracking data in
%... |
%{
reso.Align (imported) # motion correction$
-> reso.ScanInfo
---
nframes : int # actual number of recorded frames
fill_fraction : float # scan fill fraction (see scanimage)
raster_phase : float #... |
%
% Estimated size of dominating set vs. number of hops
%
addpath ./spgl1-1.9/ ./progress_bar
run('./gspbox/gsp_start.m')
set(0,'DefaultAxesFontSize',13);
G = gsp_minnesota();
%G = gsp_sensor(1000);
G.A = double(full(G.A));
Gcopy = G;
Nhops = 10;
progBar = ProgressBar(Nhops, 'UpdateRate', 0.5);
size_D = zeros(Nhop... |
function mcmc_iterator
% A script to iterate loops of the oyster model mcmc code
% Open matlabpools for parallel processing
if matlabpool('size') > 0
matlabpool close force local
end
matlabpool open 3
% Model types to be passed to the mcmc code
% Mortality type
Mn = {'Con','Con','Con','Con','Region','Region','R... |
function [F,J] = costgrad_lsqnonlin_projs_trispect_4tensor(x, x_lists, L,...
M12_quants, M34_quants, m4_micro, m3_micro, m2_micro, m1_micro, lambda, L_cutoff, gamma)
% parse optimization variable:
% gamma = x(end);
% a_lms = x(1:(end-1)/2) + 1i*x((end-1)/2+1:end-1);
a_lms = x(1:end/2) + 1i*x(end/2+1:end);
a_lms = ... |
% visim_plot_semivar_mul(V,name,cax)
function visim_plot_semivar_mul(V,name,cax)
%V{1}=read_visim('visim_25_geomod.par');
%V{2}=read_visim('visim_25_geomod_unc.par');
%name{1}='cond';
%name{2}='uncond';
ang=[0 90];
tolerance=15;
isim=1:2;
col{1}=[0 0 0];
col{2}=[1 0 0];
col{3}=[0 0 1];
col{4}=[0 1 1];
lstyle{1}=('-')... |
function [x,fval,exitflag,output] = assgn_code_pattern_search_ga(x0,lb,ub)
% This is an auto generated MATLAB file from Optimization Tool.
% Start with the default options
options = psoptimset;
% Modify options setting
options = psoptimset(options,'SearchMethod', { @searchga [] [] });
options = psoptimset(options,'Di... |
% compile the kernel
mex -g ./core/kernel.cpp ./core/afbs.cpp ./core/app.cpp ./core/utils.cpp ...
./core/task.cpp
% addpath
addpath('./toolbox/') |
% Enum for the type of control mode of myomuscle actuators
%
% Author : Dominic Chan
% Created : 2019
% Description :
classdef MyoControlModeType
enumeration
LENGTH
FORCE
ACCEL
end
end |
function [PCs]=cchengPCA(HIM,M)
%% Code Comments:
%PCA does what PCA does best
%Should consider to sue the built-in MATLAB PCA version
%
% There are two parameters,cchengPCA(HIM,M) where the HIM is the
% Hyperspectral image cube, which is a 3-D data matrix
% [XX,YY,bnd] = size(HIM), XX YY are the image size,
% bnd is t... |
function [W,L,U,pcol,P] = fzmult(A,V,transpose,L,U,pcol,P);
%FZMULT Multiplication with fundamental nullspace basis.
% W = FZMULT(A,V) Computes the product of a
% a fundamental basis for the nullspace of full row-rank
% matrix A, Z, times matrix V; W = Z*V.
% Assume A is m-by-n with m<n, rank(A) = m.
% ... |
function [ sig_rs ] = Cci( bar, tp_per, md_per, const, type)
% 该函数输出 CCI 的强弱信号以及 CCI 的数值
% CCI 刻画了股票是否有超买或者超卖现象，属于动能指标
% 输入 HighPrice,LowPrice,ClosePrice 分别是当日最高价，最低价，收盘价；
% 输入 tp_per 为 tp 计算移动平均时的天数
% 输入 md_per 为 md 计算移动平均时的天数
% 输入 const 为计算系数
% 输出 sig_rs 为指标的强弱信号，为 1，-1，分别为买入，卖出建议
% 输出 cci 为指标 cci 的数值
% 输入参数的预处理... |
function [ OptPositions,OptPnl,OptAction,OptLambda] = LinearSearch(p,spread,beta,Step,Start,End)
%LinearSearch Summary of this function goes here
% Detailed explanation goes here
% In
% p,spread,beta,Step,Start,End
%
% Out
% OptPositions,OptPnl,OptAction,OptLambda
%
%%%%%%%%%
OptLambda = -1;
O... |
% This setup program is used to load experimental data, certain model
% parameters, and initial conditions for simulation.
%clear;
format short e;
define_global; % This script defines global variables.
%% Loading experimental data
% These are experimental data from physiological hearts under different
% work rates. ... |
function init()
%--------------------------------------------------------------------------
% 802.11a Konstanten
%
%--------------------------------------------------------------------------
%
global ThresholdPacketDetection
global FractionDetected
global WindowPacketFindSmooth
global MinimumPacketSize
global... |
% Door gambling task - Split Redo neg according to following choice 08/02/2017
% updated 05/07/2017
% + splitting 121, 122, 141 matching trial count across conditions, per sbj
% + extended sample
% (recovering high-no (1422) sbjs 10, 15, 24 (17 exclude... |
function run_testing_grad(config_filename)
fprintf('load %s\n', config_filename);
eval(config_filename);
addpath('../../util');
addpath('../../util/metrix_mux');
method = sprintf('yang13_%s_data%d_grad_LR%d_HR%d_corner%d_center%d_nn%d_lambda%s', ...
parameter.training_dataset, ...
... |
function varargout = Exp(Operation,Global,input)
% <problem> <MOP in IntelligentBuildings>
% IntelligentBuildings for Evolutionary Multi-Objective Optimization
% operator --- PIO
switch Operation
case 'init'
%三个服务的组合
Global.M = 3;
Global.D = 3;
... |
function [word, answer_word] = give_words()
answer_word = [];
% % Horizontal
word{1} = [];
word{2} = [];
word{3} = [];
word{4} = [];
word{5} = [];
word{6} = [];
word{7} = [];
word{8} = [];
word{9} = [];
word{10} = [];
word{11} = [];
word{12} = [];
word{13} = [];
word{14} = [];
word{15} = [];
word{16} = [];
word{17} =... |
% CMPU250 - Professor Eric Aaron
% HW2 - Kyle Patterson
% April 2018
% ####################################################################
% ### ###
% # ... |
function [image_matrix_class, prob_plot] = run_classificationv2(config, cnn, ar_size, scale_factor)
%%This function creates the pooled image
%%ar_size: The iwndow size so the classification works
%%mu and sigma train come from calculating the zscore in the classifier
%%Create the matrix
filename = config.data{2};
strfi... |
function voxel_infomation_array = ...
Voxel_size_information_from_struct( nii_struct )
%This function returns all the voxel size infomation in the sturct. - Have
%newly apted to cope with sturcts mad from Dicom_loader_for_pipleine
%The input is the sturct of the nii file
%The output is an array of voxel si... |
% Parameter selection
function [bestnfactors,bestnloadings,bestperformance,pergrid] = opt_parameters( X, Y, nfac, nload )
bestperformance = -inf;
bestnfactors = [];
bestnloadings =[];
pergrid = [];
for iload = 1:size( nload, 2 )
[ bestnfac, bestper, allper ] = loo_hoplsc( X, Y, nfac, nload(:,iload) );
if be... |
function [siz, rat] = imgSizFit(siz0, sizMa)
% Adjust the figure size to fit with the maximum size constraint but keeping the ratio.
%
% Input
% siz0 - original size, 1 x 2
% sizMa - maximum size, 1 x 2
%
% Output
% siz - new size, 1 x 2
% rat - ratio
%
% History
% create - Feng Zhou (zhfe9... |
% run('init')
G = tf([Ko],[T1*T2 T1+T2 1],'InputDelay', To)
z=c2d(G, 0.5, 'zoh')
% step(z)
% step(G,'-',z,'--')
|
function car = Construct_car(pos_x, pos_y, vel_x, vel_y, accel, lane_id)
% Construct structure of a single car
% pos_y = {0, 3.6}
setGlobal;
car.x = pos_x;
car.theta = pos_x / Params.road_radius;
car.y = pos_y;
car.vx = vel_x;
car.vy = vel_y;
car.a = accel;
car.lane_id = lane_id; |
clear all
load('F:\Documents\MATLAB\Data\KDD\NSL-KDD Dataset\Processd with R\NSL-KDD Preprocessed_5Class_Target.mat');
%% Normalization
% before normalizing we must replace NaN whit 0
KDD_Training_p_num_5class_target(isnan(KDD_Training_p_num_5class_target)) = 0;
KDD_Test_p_num_5class_target(isnan(KDD_Test_p_num_5class... |
clear all;
x1=[0 1 1 1];
y1=[0 0 0 1];
z1=[0 0 1 0];
plot3(x1,y1,z1,'b.','MarkerSize',20);
x2=[0 0 0 1];
y2=[0 1 1 1];
z2=[1 0 1 1];
hold on;
plot3(x2,y2,z2,'r.','MarkerSize',20);
grid;
%----------------1ά--------
clear all;
w1_o=[0 1 1 1;0 0 0 1; 0 0 1 0];
w2_o=[0 0 0 1;0 1 1 1;1 0 1 1];
a=[1/2 1/2 sqrt(2)/2];
w1_n=a*... |
function PlotIterations(polynomialCoefficients, iterationValues)
%Make a plot of the function
xMinRange = min(iterationValues) - 0.1*min(iterationValues);
xMaxRange = max(iterationValues) + 0.1*max(iterationValues);
resolution = 0.01;
plottingRange = xMinRange:resolution:xMaxRange;
functionValues = Polynomi... |
function [] = AnalyzeEEG_DynBin_Mseq(subj,Aud_channels,Num_noiseFloors,Keep_H)
%subj = subject ID
%Aud_channels = channels to analyze
%Num_noiseFloors = # of noise floors
%Keep_H = amount of time of impulse response to keep
ITD_pow20 = [];
IAC_pow20 = [];
load('Mseq_4096fs_compensated.mat')
Mseq_ITD = Mseq_sig;
fs =... |
function rp = close_open_run_RAS (...
RASversion, files, RAShide, sett)
% obvious
%
% Param : RASversion, integer, 3 digits long, e.g. 507 for
% HEC-RAS 5.0.7
%
% Param : files, Files_ obj
%
% Param : RAShide, boolean, true = hide HEC-RAS computation
% window, not working yet, due to a Ras controller iss... |
% PhotometryInitialize intializes the data acquisition session to read
% photometry input (J33/AI1 and GND J67/AIG) - note that this is split from
% the photoreceiver, with the other line going into the oscilloscope
%
global session % our global variable to store everything
% add our rotary encoder to the ses... |
% use the following to setvars for this script: pnev_manual_comp_setVars
% define vars_1 and vars_2 as either ref or toMatch
%%%%%%%%%%%%%%%%%%%%%%%%%%% Matching ROIs and plotting traces %%%%%%%%%%%%%%%%%%%%%%%%%%%
orderPlot = 'qualityOrder'; % 'consecOrder'; 'randOrder'; 'qualityOrder'; % at what order you want... |
function [sac sacd]= getML_saccade(fn,recompute)
% get saccade metrics
% returns (columns):
% 1 - Drift during fixation along the direction of motion
% 2 - sd of eye positions along motion direction during fixation
% 3 - sd of eye positions in the orthogonal direction to the motion axis during fixation
% 4 - Sa... |
% SHIFTS q OVER A LOCALISED PLANE (X-Y LOCAL COORDS) IN 3D
function q_shift_vector = mls3D_calculate_q_shift(q_shift_vector, H_q, H_projected_points, weights, h )
upper_bound = h/2;
lower_bound = -h/2;
%% X-TARGET SHIFT
X_q_shift = q_shift_vector(1);
X_H_q = H_q(1);
X_H_projected_points = H_projected_poi... |
function [area,nmach_a,arear,nmach_ar] = ex_group(grouping)
% Syntax: [area,nmach_a,arear,nmach_ar] = ex_group(grouping)
%
% Purpose: Find the coherent machine groups using the slow
% eigensubspace matrix. The number of coherent
% groups is not restricted to be equal to the
% number of colum... |
function [head hattr prof pattr] = sdr2rtp_h5(f)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Read hdf5 file
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
[prof pattr] = readsdr_rtp(f);
% test if the file is high or low res
[vchan, ichan] = make_cris_grid(888,0);
if(size(prof.robs1,1)>=numel(vchan))
error... |
function F = makeibforce(varargin)
% function IB = makeibforce(fxltot,fyltot,fxrtot,fyrtot,fxmtot,fymtot,fxntot,fyntot, ...
% fxrmus,fyrmus,fxlmus,fylmus,fmusPr,fmusPl,actl,actr,...
% fxsp,fysp,energy)
% or makeibforce('base')
% or makeibforce(S)
%
% Helper function to make an IBforce struct... |
function image = InvVectorQuantizer(qImage, clusters, block_size)
% Function Name : VectorQuantizer.m
% Input : qImage (Quantized Image)
% clusters (Quantization clusters)
% block_size (Block Size)
% Output : image (Dequantized Images)
[qh, qw, qd] = si... |
function screenTimes = VRcheckscreenTimes(VRdata, screenTimes)
screenTimes2 = sort(VRdata.TRIAL.time(:));
maxTime = min(find(isnan(screenTimes2)))-1;
screenTimes2 = screenTimes2(1:maxTime);
screenTimes = screenTimes;
display('WARNING!!!! temporary fix. Check the photodiode signalling');
screenTimes = screenTimes'-sc... |
close all
%Plot the sym6 wavelet function
% Set number of iterations and wavelet name.
% iter = 10;
% wav = 'sym6';
% % Compute approximations of the wavelet function using the
% % cascade algorithm.
% [phi,psi,xval] = wavefun(wav,10);
% figure(22);
% subplot(1,2, 1);
% plot(xval,psi);
% title('Symlet 6 Wavelet Fu... |
function A=fRotx(t)
A=[
1 0 0
0 cos(t) -sin(t)
0 sin(t) cos(t)
];
|
function es = combineTwoVRseries(es1, es2, FcatSpikes)
if nargin < 3
FcatSpikes = false;
end
% function to combine two VR experiments.
% Created AS 2011
% Combines the following fields:
%. 'screenTimes2'
%. 'sortIDX'
%. 'screenTimes'
%. 'sampleRate'
%. 'sampleTimes'
%. 'trialID'
%. 'tra... |
function[] = setfont(fs);
%setfont(fontsize)
%
%this function sets the font of everything in the figure to fs
hf = get(gcf);
HA = get(gcf,'Children');
for i=1:length(HA)
ha = HA(i);
a = get(ha);
if isfield(a,'FontSize')
set(ha,'FontSize',fs)
end
if isfield(a,'XLabel')
... |
function [] = load_Decadal_instruments()
load instruments_measurements
load attrib_correspondance
load names
% fid = - 1;
% filename = [];
% filepath = [];
for instr = 1:length(names)
instr_name = names{instr};
indexes1 = find(~strcmp(instruments_measurements(:,2,instr),'None'));
indexes2 = find(~strcmp(ins... |
function [MSE,MAE] = ay_mse(Xc,Xs,Pxx)
% This function calculates the Mean Squared Error - and Mean Absolute Erro - between Prediction and
% Correct one
% Input:
% 1.Xc, is the unobserved X (correct one)
% 2.Xs, is the distribution sample points
% 3.Pxx, is the estimate probability distibution of Xc... |
% This programs tests RBF for a given function
%~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
% GENERATE THE I/O PATTERN
%~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
n1=1;
p1=1;
for i=0:45:360
AngleX=i*pi/180;
... |
function addToNIDWT(n)
global nidwt;
if isempty(nidwt)
nidwt = n;
else
nidwt = nidwt + n;
end
end
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.