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function hdr = make_hdr(slices)
% Creates Analyze header structure from slices structure array
% $Id: make_hdr.m 1279 2014-03-24 20:06:25Z klitinas $
% $HeadURL: svn+ssh://klitinas@anger.engin.umich.edu/svn/matlab/img/trunk/make_hdr.m $
pad1(1:28) = char(0);
pad2(1:2) = char(0);
pad4(1:20) = char(0);
pad5(1:... |
function im = convert_image_to_rgc_response_old(im)
% set up simulated RGC receptive fields
% NOTE: Should add step to convert SIGMA in to arcminutes, using study
% viewing distance, screen etc
SIGMA = 2; % stddev of central 2D Gaussian in pixels
SUR_SCALE = 2; % scale factor for surround 2D Gau... |
% POLYMODEL Polygonal model of lesion contour.
% [X_TAF,FEATS_TAF,X_STAF,FEATS_STAF,X_PM,FEATS_PM] = POLYMODEL(BW) computes
% three methods to analyze the shape of a breast lesion BW: filtered
% turning angle function (TAF), smoothed turning angle function (STAF), and
% polygonal model (PM). X is the numeric ... |
%% LAG - linear regression synthetic data
clear all
close all
%% data allocation for linear regression
[Xdata_28] = load('data28/data.txt'); % UCLA Housing dataset
[ydata_28] = load('data28/y.txt');
[Xdata_29] = load('data29/data.txt'); % Body Fat dataset
[ydata_29] = load('data29/y.txt');
[Xdata_30] = load('data3... |
function [rval,A]=check_eighistogram(smatfilename,nbins)
A = readSMAT(smatfilename);
if ~exist('nbins','var') || isempty(nbins), nbins=201; end;
[~,bins] = hist([0,2],nbins);
if mod(nbins,2)==0, warning('should call eighistogram with an odd number of bins'); end
v = graph_eigs(A,'normalized');
truebins = hist(v,bi... |
% Regulator PID
function [error] = pidErr(argK, argTd, argTi, draw)
% Ustawienia symulacji
N = 1000;
Yzad = ones(N,1);
Yzad(1:200) = 2.6;
Yzad(201:400) = 2.8;
Yzad(401:700) = 3.1;
Yzad(701:1000) = 3.4;
error = 0;
% Nastawy regulatora
K = argK; %1.85 oscylacje niegasnace
Ti =argTi;
Td = argTd;
T = 0.5;
% Charakterysty... |
function outp = randprice(n, startprice, seed)
%RANDPRICE 用于生成一系列股价，后一日股价与前一日股价相差[-10%,10%]
% n：生成股票价格的数量
% startprice： 起始价格
% seed: 随机数生成器种子
% 如果没有设置种子，则将种子设为0
if nargin <3
seed = 0;
end
% 设置随机数生成器
rng(seed);
% 初始化
outp = zeros(n,1);
% 赋值
outp(1) = startprice;
for i=2:n
outp(i) = outp(i-1) *( 0.2*rand(1)+... |
function a=aaa(t,nu,alpha,beta,tauone,tautwo,T,kone,ktwo,lone,ltwo);
a=fone(t,nu,kone,ktwo,lone,ltwo,T,tauone,tautwo).*(ftwo(beta,lone,T)-ftwo(alpha,lone,T))...
+fone(t,nu,kone,ktwo,ltwo,lone,T,tauone,tautwo).*(ftwo(beta,ltwo,T)-ftwo(alpha,ltwo,T))-...
fthree(t,nu,kone,ktwo,lone,ltwo,T,tauone,tautwo,alpha)+...
fthree(... |
% simfile_name
function [simName] = simfile_name_downlink(par)
% get current time
time = datetime('now', 'Format', 'yyyyMMdd-HH_mm_ss');
% join all the algorithm names
joint_precoders = par.precoder{1};
for ind = 2:length(par.precoder)
joint_precoders = [joint_precoders, '-', par.precoder{... |
function opt = solver( )
% solver Default options for solvers.
%
% Backend IRIS function.
% No help provided.
% -IRIS Macroeconomic Modeling Toolbox.
% -Copyright (c) 2007-2017 IRIS Solutions Team.
FN_VALID = irisopt.validfn;
%--------------------------------------------------------------------------
opt = struct(... |
function Robust()
% Simulate a robust Kalman filter.
K_optimal = [0.02; 0.002]; % optimal Kalman gain for this problem
duration = 100; % simulation length
dt = 0.1; % step size
a = [1 dt;0 1]; % system matrix
b = [dt^2;dt]; % input matrix
B_w = eye(2); % noise input matrix
c = [1 0]; % measurement matrix
r... |
clear all
close all
clc
% Definition des variables
cl1 = 1;
cl2 = 0;
p10 = 0.5;
p20 = 1 - p10;
A(1, 1) = 0.9;
A(1, 2) = 1 - A(1, 1);
A(2, 2) = 0.3;
A(2, 1) = 1 - A(2, 2);
n = 20;
m1 = 127;
m2 = 128;
sig1 = 2;
sig2 = 3;
% Taux d'erreur
T = 100000;
somme = 0;
for i=1:T
X = genere_Chaine2(n, cl1, cl2, A, p10, p20);
... |
I = imread('./imgre/ojo8.jpg');
imtool(I);
%se asume que se ha exportado la sección de ojo rojo con el nombre redEye.
redEyeRasterized = [reshape(redEye(:,:,1),1,[]),
reshape(redEye(:,:,2),1,[]),
reshape(redEye(:,:,3),1,[])];
redEyeRasterized = redEyeRasterized';
%los componen... |
function result = flowWarp( flow, img )
% Warps input image using given flow field
% --> Flows should only be 1-channel
% construct displacement field from flow
D = cat(3, flow.x(:,:), flow.y(:,:));
result = zeros(size(img));
for c = 1:size(img,3)
% do warping on each channel
... |
function [ K ] = shuffle_K_common_neighbour( K, I, J, cn_scale_weight )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
show_wait_bar = 0;
fprintf('shuffle_K_common_neighbour....')
if cn_scale_weight > 1
%%%%% find number of common pre-synaptic neighbours
A = sparse(I,... |
%calculate the interfacial tension of methane + n-butane at310.95K and
%108 Bar
%reference comp. : highest boiling point
clear all
initNeqSim
system1 = neqsim.thermo.system.SystemPrEos(310.95,108); %
system1.addComponent('methane', 0.8); %mole frac like feed
system1.addComponent('n-butane',0.2);
system1.createDataba... |
%% string_to_integer converts a string of 8 binary digits to an integer.
%
% B VALUE
% -------- -----
% 00000000 0
% 00000001 1
% 00000010 2
% ...
% 11111111 255
%
% Parameters: Input, integer B8(8), the binary string of 0's and 1's.
% Output, integer VALUE, the value of... |
function result = SLBP(img,lbpPoints,lbpRadius,mappingriu2,mappingu2,mode,style)
[imgH,imgW] = size(img);
imgNewH = imgH - 2*lbpRadius(end);
imgNewW = imgW - 2*lbpRadius(end);
imgN=zeros(imgNewH*imgNewW,lbpPoints,length(lbpRadius));
for k=1:length(lbpRadius)
blocks = cirInterpSingleRadius_SLBP(img,lbpPoints,lbpRad... |
function [output] = white_balance(rgbImage)
%WHITE_BALANCE Summary of this function goes here
% Detailed explanation goes here
grayImage = rgb2gray(rgbImage); % Convert to gray so we can get the mean luminance.
% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);
greenChannel ... |
function [xn,n,n2] = Schalcher_i10a_S7_Aufg3(A,b,x0,tol)
%---------------------------------------------------------
% Berechnet per Gauss-Seidel eine Näherung an x
% Parameter:
% A: reguläre m x m Matrix
% b: m x 1 Spaltenvektor
% x0: m x 1 Startvektor für Iteration
% tol: reeler Toleranzwert
%
% Output:
% xn... |
function [model, spred] = get1Dmap(zua, variable, scaling, nGrid, bins, CVO, iter, sampFreq, win, FoptiSmooth,Fcircular)
% function to fit and test a 1D model, find the optimal smoothing
% function too
if nargin < 10
FoptiSmooth = true;
end
if nargin < 11
Fcircular = true;
end
X_train = variable(CVO.train{iter}... |
%find the minimum of univariate function using GOLDEN-SECTION METHOD
function [y]=optim_alphaHW4(f,xo,S,Xmin,Xmax);
%function [y,fun_countalpha]=optim_alpha(f,xo,S,Xmin,Xmax);
xo;
S;
if sign(S(1))==1,
x1u=(Xmax(1)-xo(1))/S(1); %S(1)>0
else
x1u=(Xmin(1)-xo(1))/S(1) ; %S(1)<0
end
if sign(S(2))=... |
% PSO black box optimiser
%
% Author : Darwin LAU
% Created : 2016
% Description :
% Just a basic implementation, need to add many more features (like some
% in the PSO toolbox, such as different bounding box handling methods or
% equality constraints etc).
% - Support parallel computing (06-2018... |
% This Matlab file demomstrates the method for simultaneous segmentation and bias field correction
% in Chunming Li et al's paper:
% "Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation",
% Magnetic Resonance Imaging, vol. 32 (7), pp. 913-923, 2014
% Auth... |
function [yc, cl, cu] = checkConstraints(obj, x, tol, output_file)
% Check the violation of the constraints
if nargin < 3
tol = 1e-3;
end
if ~iscolumn(x)
x = x.';
end
phase = obj.Phase;
% phase_var_indices = obj.PhaseVarIndices;
n_phase = length(phase);
... |
function IQ = MATLAB_directSCPI_Specan_IQ_Display_example(IP,Freq,RefLev,SampleRate,NofSamples)
% Make sure you have installed NI VISA 15.0 or newer with its .NET support component
%
% This example configures the spectrum analyzer to capture IQ data.
% The IQ data is transferred to the PC and displayed.
%
% type "help... |
pkg load symbolic;
clc;
clear all;
syms x;
eqn = x^4 - 7 * x^3 + 3 * x^2 - 5 * x + 9 == 0;
S = solve(eqn);
ans = double(S);
ans
|
function [stimuli] = repref_getstimuli(subjectNumber, subjectName, cbfaces, cbscenes)
%-------------------------------------------------------------------------%
% [stimuli] = repref_getstimuli(...)
%
% * all arguments are strings
%
% SUBJNUM : unique # based on date string (e.g., '101220')
% SUBJNAME... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 本函数用于读取Path路径下策略样例。
% 样例格式如下：
% MA 2010-1-1 1 2010-4-2 1 000001.SZ 1 [5,10] 0 100000 0
% cppi 2012-2-3 1 2012-3-3 1 1000000 0 900000 0 3 0 510050.SH 1 010107.SH 1 5 0
% 第一列为策略名字，后面是策略需要输入的参数以及参数类型（1为字符型，0为数值型）
% 策略... |
function label = get_label_action(filename)
label = str2double(filename(19:20));
end |
function f_value = negloglik_multi_matern(beta_all, r, samples)
%NEGLOGLIK A wrapper of ECMNOBJ to evaluate negative log-likelihood function.
%
% F_VALUE = NEGLOGLIK(BETA_ALL, R, SAMPLES);
%
% Inputs:
% BETA_ALL - the current parameter vector
% R - one of the outputs of the function INIT_COMP, which are comput... |
function [p_x, p_y, patches] = samplePatches( im , border )
% SAMPLEPATCHES Sample 5 � 5 patches from the input image.
%You are allowed to use 2D loops here.
% Arguments:
% im − a grayscale image of size m × n
% border − An integer that determines how much border we want to leave in
% the image. For example: if... |
function [A,B,C]=Extract_ABC(S,nod)
%Extract A B C
%Input: time-series:S;
% node to reconstruct:i
%Output: A the state matrix of other nodes when node i is zero at time t
% B the state of node i at time t+1
% C the state matrix of any other two nodes when node i is zero
% ... |
function[vol] = net2vol(vol,X,E)
%NET2VOL - converts a network into a volume, with ones along the fiber
%edges
if isnumeric(E)
for i=1:size(E,1);
x1 = X(E(i,1),:);
x2 = X(E(i,2),:);
vol = line3d(vol,x1,x2);
end
elseif isstruct(E)
F = E;
for fi=1:length(F)
fv = F(fi).... |
% costume gaussian dist
function y = g1(x)
% every call calls gmdistribution, problemetic
dis = gmdistribution([2; 4.6; 7.8], cat(3, .5, .5, .5), [.3, .4, .4]);
y = pdf(dis, x);
end |
%Example 3.30
%
echo off
clf;
figure(gcf)
setfsize(600,250);
deg2rad = pi/180;
rand('seed',24792483);
echo on
clc
% INITFF - 初始化前向网络
% TRAINCON - 训练神经网络控制器
% SIMUFF - 对神经网络进行仿真
pause % 键入任意键继续
clc
load appcs2d
pause %
clc
%(vel = 0, demand = angle).
%angle = [-10:40:190]*deg2rad;
%vel = [-90:36:90]*deg... |
%{
# Motion and raster correction of movies
-> pni.Scan
-----
align_time=CURRENT_TIMESTAMP: timestamp # automatic
%}
classdef CorrectedScan < dj.Computed
methods(Access=protected)
function makeTuples(self, key)
%!!! compute missing fields for key here
self.insert(key)
end
end
end |
function waterMaker(ax,transparency)
% transparency: 0, opaque, 1, complitly transparent
if nargin < 2
transparency = 0.6;
end
axPos = get(ax,'Position');
r = axPos(4)/axPos(3);
XLim = get(ax,'XLim');
YLim = get(ax,'YLim');
marker = qes.ui.icons.ustcLogo_blue_large();
ms... |
function [respuesta] = cholesky(matriz,b)
%OJO: Resultado diferente al jorge -> REV.
%Matriz siempre cuadrada, agregar verificacion.
[ancho,~] = size(matriz);
L = zeros(ancho);
U = zeros(ancho);
%Se itera en busca de los valores de L y U por medio de la formula de
for i = 1:ancho
U(i,i:ancho) = matriz(i,i:ancho... |
function ComputeSaveFData(all_ftypes,f_sfn)
global W H
fmat = sparse(VecAllFeatures(all_ftypes,W,H));
save(f_sfn,'fmat','all_ftypes','W','H');
end
|
function gauss_pivote_paso(A,b, pwd)
fid=fopen(strcat(pwd,'/paso.txt'), 'w');
fprintf(fid,'');
fclose(fid);
%disp('Metodo de Eliminacion Gaussiana con Pivoteo Parcial');
%A=input('Ingrese la matriz A en []: ');
%b=input('Ingrese el vector b en []: ');
Ab = [A b]; %Matriz aumentada
[m]=size(Ab);
m=m(:,1);... |
function [vp_grid] = brocherizegrid(density_grid)
% function to take in a density grid and covert it to a Vp (compressional
% wave speed) grid based on the empirical relationship defined by a
% 5th order polynomial by Brocher (2005)
% This relationship is valid for densities between 2 and 3.5 g/cm^3
density_grid = den... |
% Work shop number 2
% Hosted by Binh Nguyen
% Goals for today:
% - Do some physics questions
% - Plot some graphs
% - Solve some linear lines
%% Part 1
% Use two comments to create section
% We're going to have time = 8 s and speed = 150 km/h
% First thing we need to do is to turn 150 km/h to m/s
velocity = 150;... |
% read file
file = 'C:\Users\bastien\Documents\internship\Miw\exosqueleton\visual_interface\BCIcourse\protocol_configuration_MI.ini';
readSett = inifile(file,'read',{'experiment','','nTrial',''});
% write file
keys = {'experiment','','nTrial',50};
inifile(file,'write',keys)
|
function plot1handle = y(Daten)
alpha = Daten(1,:);
eta = Daten(2,:);
%x=polyfit(eta,alpha,1);
%y=x(1,2)+x(1,1)*eta;
y=[-15,5];
t=[24.788,-3.297];
figure1handle = figure(1);
figure1handle.Color = [1,1,1];
axes1handle = axes;
plot1handle = plot(eta,alpha,'+');
hold on;
plot2handle = plot(y,t);
grid on;
ylabel(axes1... |
% Retrain Neural network variable
Retrain = true;
%% Load collated data
%{ Data Includes: Date, Hour, Dry Bulb Temperature, Dew Point Temperature, Wet Bulb Temperature, Humidity, Electricity Price and System Load}%
load('ausdata.mat')
%Import Holiday List
[num,text] = xlsread('Holidays.xls');
holidays = text(2:end,1)... |
clear all
clc
tic
choice = input("select case: ");
if choice == 1
A = [2, 7, -2; 1, -2, 2; 3, -2, 1], b = [7; 19; -5]
elseif choice == 2
A = [1, 2, 3, 4; 2, 5, 1, 10; 3, 1, 35, 5; 4, 10, 5, 45], b = [9; 35; -45; 189]
elseif choice == 3
A = [1, 1, 1; 1, 2, -3; 4, 2, 3; 7, 7, -2], b = [3; 0; 9; 12]
elseif choice ... |
function t = benchXcorrVec(u,v, numruns)
%Used to benchmark xcorr with vector inputs on the CPU and GPU.
% Copyright 2012 The MathWorks, Inc.
timevec = zeros(1,numruns);
gdev = gpuDevice;
for ii=1:numruns
ts = tic;
o = xcorr(u,v); %#ok<NASGU>
wait(gdev)
timevec(ii) = ... |
function StockList = getStockList( StartDate,EndDate )
sql1 = ['select distinct a.SecuCode from SecuMain a join QT_DailyQuote b on a.InnerCode = b.InnerCode ',...
'where a.SecuCategory = 1 and a.ListedDate<=''',StartDate,''' and a.ListedState = 1 and a.SecuMarket in (90) '...
'and b.TradingDay >= ''',StartDate... |
function [angles] = ikin(position)
px = position(1);
py = position(2);
pz = position(3);
l1 = 135;
l2 = 175;
l3 = 169.28;
l4 = sqrt((px^2)+(py^2)+((pz-l1)^2));
alpha = atan2((pz-l1),(sqrt((px^2)+(py^2))));
beta = acos(((l2^2)+(l4^2)-(l3^2))/(2*l2*l4));
theta1 = -atan2(py,px);
... |
Lb=[2:0.001:66];
n1=ceil((1-0.000005).^(-8*(Lb*1000+8+(Lb*1000+20)/(1500-20)*28)));
n2=ceil((1-0.000005).^(-8*(Lb*1000+8+(Lb*1000+20)/(1500-20)*28)))+3;
time1 = (n1*20-10)*60;
time2 = (n2*20-10)*60;
Goodput1 = Lb*1000./time1;
Goodput2 = Lb*1000./time2;
h1=plot(Lb,Goodput1,'-b');
hold on;
h2=plot(Lb,Goodput2,'-k... |
function R = calRotationMatrix(thetaY, thetaZ, boxSize)
vectorizedSize = boxSize(1)*boxSize(2)*boxSize(3);
R = sparse(vectorizedSize,vectorizedSize);
[x_grid, y_grid, z_grid] = meshgrid(1:boxSize(2), 1:boxSize(1),1:boxSize(3));
origin = backward(thetaY, thetaZ, y_grid(:)', x_grid(:)', z_grid... |
function [ Comp ] = RadialEq( CompIn )
% Set output equal to input, add information throughout
Comp = CompIn;
% Extract number of stages
NoStages = Comp.NoStages;
% Create array with name of each stage in
for n = 1:NoStages
Stages{n} = ['Stage',num2str(n)];
end
%% Perform tip calculations
% Loop... |
mainwindow = Screen('OpenWindow', 0); % open the main window
% define colors
white = [255 255 255];
black = [0 0 0];
red = [255 0 0];
Screen('TextFont', mainwindow, 'Arial');
Screen('TextSize', mainwindow, 32);
Screen('TextStyle', mainwindow, 0); % bold is default on PCs; this will remove it
% screen 1
message = 'Th... |
function elt = lin2d_elt()
% function elt = lin2d_elt()
%
% Returns the linear 2-D (3-point) element data structure.
nvars = [1;1;1];
flist = [1 0 0;
2 0 0;
3 0 0]; % the three vertices
vnodes = [0 0;
1 0;
0 1];
elt = struct('Aphihat',@lin2d_Aphihat, ...
'nvars',nvars,'flist',f... |
function csp=santoff(xsat,offset,xsun)
%
% Function santoff
% ================
%
% Correction for Satellite ANTenna OFFset
%
% Sintaxe
% =======
%
% csp=santoff(sp,offset,t)
%
% Input
% =====
%
% xsat -> Satellite CM geocentric position (3x1 vector)
% offset -> 1x3 vector wit... |
function stringOut = latexnl(symExprs)
% latex new line (latexnl)
% takes the symmbolic expression symExps and returns the LaTex
% representation. Unix linefeeds '\n' are automatically inserted after
% '\\'.
% \\ is a linefeed in LaTex syntax, but to display them in the Matlab
% Command Window, we must put in \n
lay ... |
function [science,cost,lists] = SEL_evaluate_architecture_with_lists(r,params,arch)
%% SEL_evaluate_architecture.m
% This function asserts missions corresponding to the selection
% architecture given in the input, and then evaluates them
% arch = [1 1 0 0 0 1 0 1 0 0] where 1 means that instrument i flies
% all instrum... |
[y, Fs] = audioread('touchtone.wav');
b1 = fir1(1024, [684.5/(Fs/2),709.5/(Fs/2)]);
x1 = filter(b1, 1, y);
b2 = fir1(1024, [1332/(Fs/2),1360/(Fs/2)]);
x2 = filter(b2, 1, y);
%freqz(b,1)
figure;
plot(x2)
hold on
plot(x1)
hold off
%spectrogram(y, 1024); |
%{
mice.Primers (manual) # info about each primer set
primer_set : varchar(20) # primer set
---
f_primer : varchar(100) # forward primer
r_primer : varchar(100) # reverse primer
band : int # band size
allele ... |
% created: Tilke Judd, March 2011
% updated: Zoya Bylinskii, Aug 2014
function res = histMatchMaps(saliencyMap1, saliencyMap2)
% match saliencyMap2 to saliencyMap1
[COUNTS,X] = imhist(saliencyMap1);
res = histoMatch(saliencyMap2, COUNTS, X);
% display maps and histograms if no output arguments
if nargout == 0
su... |
function[XX,YY,ZZ,KAKOM,NFREE,TEISUU,KOTEI]=DATAIN4
% FREE-FREE Frame Structure
L=1;NBAY=5;
NODT=(NBAY*2+1)*4;
XX=zeros(NODT,1);YY=XX;ZZ=XX;
XX(1:4)=[0 0 0 0];YY(1:4)=[0 L L 0];ZZ(1:4)=[0 0 L L];
for I=1:(NBAY*2)
NN=I*4+(1:4);
XX(NN)=[0 0 0 0]+(I*L);YY(NN)=YY(1:4);ZZ(NN)=ZZ(1:4);
end
KAKOM=zeros((13*NBAY*2+5)... |
% Kristina Johansson
%Ref. 25 degrees Celsius
function f=ent_Wl(T)
%T=T-273.15;
Tref=25;
h_Wl= -285.84*1000+75.4*(T-Tref);
clear f
f=h_Wl; |
clear
a=load('data_error.txt');
b=a(:,2);
L=length(b);
T=1;
s=[];
for n=1:4 %for computing (D1,D2,D3,D4)
Mn=zeros(1,L);
for h=1:L
x=b(h);
j=0;
for i=1:L-T
if b(i)==x; %tarife moment sharti(agar x(i) barabar ba meghda... |
function this = disable(this, type, varargin)
% disable Disable dynamic links or steady-state revision equations.
%
% Syntax
% =======
%
% M = disable(M, '!links')
% M = disable(M, '!links', Name1, Name2, ...);
% M = disable(M, '!revisions');
% M = disable(M, '!revisions', Name1, Name2, ...);
%
%
% Inp... |
%% Solves qs 5.1 for assignment 3
% this function computes the convergence of the given functions
function convergence()
f = {'(x^2+2)/3', 'sqrt(3*x-2)', '3-2/x', '(x^2-2)/(2*x-3)'};
tol = eps;
maxIteration = 10;
xRoot = 2;
% repeat the computations below for all 4 given equations
for i = 1 : length(f)
grad = ... |
function pp = partial_pressure(p,ngas,nair,varargin)
% pp = partial_pressure(p,ngas,nair,unit)
%
% INPUT:
% p = pressure [hPa]
% ngas = number density of gas
% nair = number density of air
% unit can be 'atm' or 'pascal' or empty when it's hPa
p = p(:);
ngas = ngas(:);
nair = nair(:);
pp = ngas./nair.*p;
if (nargin=... |
p =0;
for i = 1:100
voro;
coop;
p = p + CoopProbability;
end
p = p/100;
|
function pass = uq_default_model_test_possibleCases( level )
% UQ_DEFAULT_MODEL_TEST_POSSIBLECASES tests representative of possible
% supported cases of mfiles
%
% See also: UQ_TESTFNC_MFILEDEF_MULTIOUTPUT, UQ_TESTFNC_MFILEDEF_PARAMPOLY
% parameters
Nval = 1e3;
eps = 1e-14;
if nargin < 1
level = 'normal';
end
f... |
function modeInfo = modePick(modeRef,eigE,eigVec,n,d,N,T,urms,maxFreq,grpIdx)
% last modified: 17/06/19
%
% test solution quantities:
% eigE, eigeVec, N, d, T, urms
%
% maxFreq: maximum abs(frequency) up to which test and reference PEhat are
% compared
%
% determine PE correspondi... |
function [xx,tt]=note(frekans,vurus)
Fs=8192;
tt=0:1/Fs:((0.25-(1/Fs))/2);
zz=0;
xx=sin(2*pi*frekans*tt);
if length(xx)==length(zz)
zz=[linspace(0,1.5,Fs*vurus*(2/8)),linspace(1.5,1,Fs*vurus*(1/8)),linspace(1,1,Fs*vurus*(4/8)),linspace(1,0,Fs*vurus*(1/8))];
end
end
%sinüs sinyalinin çizdirildiği fonks... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% DDCDesignMain.m
%%%% filter design, generate filer coee and test signal in file
%%%% that can be called by quartus.
%%%% MRI Digital Receiver DDC simulate;
%%%% re... |
function [ features ] = extractFeaturesFromData( data , featureType )
%EXCTRACTFEATURESFROMDATA Summary of this function goes here
% Detailed explanation goes here
switch featureType
case 'grayscale'
features = reshape(data,size(data,1),128*128);
case 'shape'
features = res... |
function dec = decrypt_dwt(mat,pix,per)
pix = ceil(abs(pix));
no = 1;
no2 =512*512;
[LL1 ,LH1, HL1, HH1] = dwt2(mat,'haar');
LH1= LH1.*no2;
HL1= HL1.*no2;
HH1= HH1.*no2;
% LL1 = LL1+1;
val = mod(per*pix,1);
[xsin,xlog] = chaotic_map(val,LL1);
xsin = 1+floor(mod(xsin(3:end)*10^6,127));
xlog = 1+floor(mod(xlog(3:end)... |
function SwipeResults(filename)
z2 = CDataset.read(filename);
[m n] = size(z2);
means = [];
for i=1:m
K = strsplit(cell2mat(z2.Values(i)),';');
sum = 0;
[m1 n1] = size(K);
vals = [];
for k=1:n1-1
vals = [vals ; str2double(K{k})];
end
means = [means ;(mean(vals))];
end
[~, meanSort] = sort(means);
z2 = z2(me... |
classdef Util < handle
properties(Constant)
GROUNDTRUTH_ELAN_TIER_NAME = 'Event'
end
methods(Static)
function PrepreocessSequences(fname_mask,suffix,labelmap_mat_filename)
% PrepreocessSequences
%
% This function will rea... |
choice=7;
n=3;
A=[1 5 3 18;
2 4 7 10;
4 6 2 50];
B_real=A(:,n+1); % storing real constants B
L=zeros(n); % set L to be a zero matrix of n*n
L(1,1)=sqrt( A(1,1) );
for i=1:n
L(i,1)=A(i,1)/L(1,1); % filling first column of L
end
for j=2:n % calculating remaining elements of L
s... |
function out = Precision(PosClass,estimatedLabels,TrueLabels)
MinprityCLabel = PosClass;
index = find(TrueLabels == MinprityCLabel);
trueMinerLabel = TrueLabels(index);
estimatedMinerLabel = estimatedLabels(index);
index = find(estimatedLabels == MinprityCLabel); % those who estima... |
%Script to compare MVGC analysis to mine
binsize = 0.002;
nK_lfp = 20;
nK_stim = 0;
stimelec = 0;
tstat = 'F';
tstat_chi2 = 'chi2';
%All files
files = dir('../data/*_traces.mat');
%Just use the first one for this
idx = 2;
runname = 'stim';
%GLM params
const = 'off';
distr = 'normal';
alph = 0.05;
matfile = files(idx)... |
function [ fig ] = statsDraw
%statsDraw - draw the window and axes / panels
% Define default view
layout = 'axes';
datatype = 'ms'; % ms or lcms
% Main figure
fig.fig = figure('Name','Stats Toolbox',...
'Units','normalized',...
'Position',[0.2 0.2 0.6 0.6],...
'Tag','stats',...
'Color','white');
% De... |
function E = calculeazaEnergie(img)
%calculeaza energia la fiecare pixel pe baza gradientului
%input: img - imaginea initiala
%output: E - energia
%urmati urmatorii pasi:
%transformati imaginea in grayscale
%folositi un filtru sobel pentru a calcula gradientul in directia x si y
%calculati magnitudiena gradientului
%E... |
function Compile(nlp, export_path, compile_cstr, exclude)
if nargin < 3
compile_cstr = [];
end
if nargin < 4
exclude = [];
end
if isa(nlp,'TrajectoryOptimization')
compileConstraint(nlp,compile_cstr,export_path,exclude);
compileObjective(nlp,[],export_path);
... |
function indexCH = indexDB( data, Dmatrix, nCatFeature, clu, varargin)
%%%Input:
%data: row wise, normalized data for clustering, nCatFeature first
%Dmatrix: a precomputed pairwise distance, just to save computation
%nCatFeature: number of Categoric feature in the dataset
%clu: clustering , partition in the order ... |
function v = enthalpies_RT(p)
% ENTHALPIES_RT - Pure species non-dimensional enthalpies.
%
% h_rt = enthalpies_RT(phase)
%
% sets array h_rt to the array of standard-state species enthalpies
% for phase 'phase' divided by RT, where R is the universal gas
% constant and T is the temperature. For gase... |
% function init_cpsearn
% --------------------------------------------
dirS = directories_cpsearn(1);
project_start('cps');
cd(dirS.progDir);
|
classdef Loperator %< handle
properties %(SetAccess = protected)
dim = 0; % space dimension
d = 0; %
label = []; % subdomains label
A = [];
b = [];
c = [];
a0 =[];
order = 0;
sym = false;
m=1;
end
methods
function self=Loperator(dim,d,A,b,c,a0)
if nargin==0, r... |
% 三个点的顺序关系(x1, y1)； (x2, y2)； (x3, y3)。
function theta = calculate_theta_1(x1, x2, x3, y1, y2, y3)
a = (x2 - x1).^2 + (y2 - y1).^2;
b = (x3 - x2).^2 + (y3 - y2).^2;
ab = (x2 - x1).* (x3 - x2) + (y2 - y1).* (y3 - y2);
if a == 0
theta_t = zeros(size(b));
else
for i = 1:length(b)
if b(i) == 0
t... |
function [loglikelihood] = anafun(parameters,data,edge_effect,toprint)
g_data = data(1,1:20);
t_data = data(1,21:140);
vp_parameters = brocherizegrid(parameters);
[g_ll,g_e] = gravfun(parameters,g_data,edge_effect);
[t_ll,t_e] = tomfun(vp_parameters,t_data);
g_ll = g_ll*10^(-1.5);
if toprint
dlmwrite('an... |
function [ xCoord,yCoord,width,height,image] = eyesDetectionArea(imageFullPath)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
I = imread(imageFullPath);%Read input image.
eyesDetect = vision.CascadeObjectDetector('EyePairBig');
bboxes=step(eyesDetect,I);
%hold on
%rectangle('Positio... |
% Updated to Matlab2015
% MC feb15
clear
close all
%OPTIONS AND DESIGN PARAMETERS:
i_scatter=1;
% SIGNAL TO NOISE RATIO (dB)
SNR=input('SNR(dB)=');
% Inter-Symbol Distance
dist=1;
n_classes=4; %QPSK
n_samples=[1000;1000;1000;1000];
ro= 0.5*ones(1,n_classes); %Correlation between... |
function y = smoothEdgePenalty(x,xBnd,xDel,yMax)
% y = smoothEdgePenalty(x,xBnd,xDel,yMax)
%
% This function computes a penalty curve, that is near yMax at each point
% in xBnd, and near zero at mean(xBnd). The paramter xDel adjusts how
% rapidly the function changes from ~0 -> ~1. It is based on the hyperbolic
% tange... |
function varargout = stats(varargin)
%STATS Return defaults struct for functions in tbl.stats package
%
% params = cfg.stats();
% * This format returns full struct of parameters.
% e.g.
% >> params.var1 == 'something'; params.var2 == 'somethingelse'; ...
%
% [var1,var2,...] = cfg.stats('var1Name','var2Na... |
% Grow a network exponentially
% Probability of node s having k links at time t: p(k,s,t)=1/t*p(k-1,s,t-1)+(1-1/t)*p(k,s,t-1)
% INPUTS: number of time-steps, t
% OUTPUTs: edgelist, mx3
% GB, Last Updated: May 7, 2007
function el=exponential_growth_model(t)
el=[1 2 1; 2 1 1]; % initialize with two connected nodes
% f... |
function [pspm_filename] = biopac_import(INFILENAME, OUTFILENAME)
global verbose
%% biopac_2_matlab
% import the biopac text files into a MATLAB table
if verbose
tic
fprintf('\nStep 1: Biopac Text file --> MATLAB...\n')
end
if ~exist(OUTFILENAME, 'file')
datatable = biopactxt_2_matlab(INFILENAME);
end
if... |
function plotDSDbytime(time,D,N_d)
% plotDSDbytime(time,D,N_d)
% This function plots DSD by time (diameter vs time vs concentration)
%
% JValdivia - 07, 2018
if ~isnumeric(time)
time=datenum(time);
end
[t2, D2] = meshgrid(time, D);
if ndims(N_d)>2, N_d=squeeze(N_d); end
% if max(N_d(:))>1.5e1, N_d=lo... |
function [segment,tc] = pcaseg(data,num_segments,q,flag)
% [segment,tc] = pcaseg(data,num_segments,q,flag)
% pcaseg.m - Bottom-up segmentation of multivariate time series using PCA based cost functions
% Created by Zoltán Bankó, 2006
% Inputs:
% data: multivariate time series (columns: variables)
% ... |
function [] = scores
clear;
[s, id] = get_scores_from_file;
[rows, columns] = size(s);
genScores = [];
impScores = [];
%
% Ηistograms
%
% Place scores into genuine and impostor arrays
for i = 1:rows
for j = i + 1:columns
if id(i) == id(j) % genuine... |
function dist = findDistRoundPolygon(xIndex,yIndex,polygon)
x = polygon(xIndex,:);
y = polygon(yIndex,:);
% is it faster to go left or right around the polygon?
halfway = size(polygon,1)/2;
% 1 2 3456 7 89
% -xIndex----yIndex-- 9 total halfway = 4.5.
% yIndex - xIndex = 5 > halfway
% faster to go from yIndex ... |
% One step of clustering using Vector Quantization algorithm
% Needs initilisation: vqinit + initrbf
% variables needing init are:
% delta : learning rate
% m : unit positions (by initrbf)
%
% The algoritm works by moving the closest unit. This is here done batchwise,
%
dstcum=sigma2*0;
dfcum=m*0;
i=rows(data);
whi... |
%Import my original picture file
I = imread('peppers.png');
%Convert image to grayscale (intensity) values for simplicity (for now)
I = rgb2gray(I);
%Determine the dimensions of the source image
%Note that we will have three values - width, height, and the number
%of color vectors, 3
[j k] = size(I)
%Spec... |
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