text stringlengths 8 6.12M |
|---|
function [found,I,J,L] = in_element(V,F,P,varargin)
% IN_ELEMENT test for each p in P whether it lies inside each f in F defined
% over V.
%
% [found,I,J,L] = in_element(V,F,P)
% [found,I,J,L] = in_element(V,F,P,'ParameterName',ParameterValue,...)
%
% Inputs:
% V #V by dim list of vertex positions
... |
function qp_opt(tol)
% qp_opt(tol)
% Optimize QP until relative difference between lower and upper bound is below 'tol'
% If tol = 1, then optimization will stop when lower bound stops increasing
global qp;
if nargin < 1
tol = .05;
end
C = 1;
I = 1:qp.n;
[id,J] = sortrows(qp.i(:,I)');
id = id';
eqid = [0 all... |
function [classes] = nn1PtsClassifier(pts, selClasses, selIxs)
%Klasyfikuje punkty 1-nn na podstawie przypisania do klas podzbioru punktów.
%Parametry:
% pts - wszystkie punkty
% selIxs - indeksy wybranych punktów
% selClasses - klasy podzbioru punktów
%Zwracane:
% classes - przypisanie do klas dla wszystkich pu... |
% Author: Saadman Sakib
clf
colormap('gray');
im1 = imread('image1.jpg');
subplot(4,1,1);
imagesc(im1);
axis off;
title('Plane 1','fontweight','bold');
im2 = imread('image2.jpg');
subplot(4,1,2);
imagesc(im2);
axis off;
title('Plane 2','fontweight','bold');
diff = im1 - im2;
subplot(4,1,3);
imagesc(diff);
axis off... |
novelObjectPathPattern = '~/Projects/lab-palmeri/trainedImagenet/novelObjects/original/*.tif';
% Novel object files
[novelObjectFiles, novelObjectNames] = getFilepaths(novelObjectPathPattern);
% Images to use for getting feature matrix
% populates global images var for reuse
fprintf('Loading novel object images from %s... |
function [ BestPOP,BestSigma ,BestPrice ] = elitist_Sig(POP, Sigma, Cost, NumPop)
%ELITIST - Chooses the best elements
% This function orders the cost of each individual and chooses the ...
% best elements of the population
[Cost_order, index] = sort(Cost);
BestPrice = Cost_order(1);
for i=1:NumPop
Bes... |
function [rankTable, ranks] = rankingTable(data, varargin)
% [rankTable, ranks] = rankingTable(data, settings)
% Creates and prints table containing rankings for different evaluations.
%
% Input:
% data - cell array of data
% settings - pairs of property (string) and value or struct with
% propert... |
%Script to read in the forest loss data from Hansen et al. (2013, Science)
%https://earthenginepartners.appspot.com/science-2013-global-forest/download_v1.2.html
%and calculate the disturbance rotation period for each 10 deg x 10 deg section of the globe.
%
%Note that these disturbance rates are corrected for land-use ... |
function [ pik, mu, sigma ] = gmmClustering( data, k, initialMu, initialSigma, initialPik )
%This function returns the wieghts, the means and variances of k gaussians
% k is the number of gaussians in mixture
% D is the dimensionality of the data
% N is the number of data points
% mu - k by D matrix
% sigma - D by D... |
function [xCenter, yCenter] = dmCenter(data, unit)
K = naomi.KEYS;
xCenter = data.getKey(K.XCENTER, []);
if isempty(xCenter)
warning('Could not found centering information in data header assuming this is half of the number of sub aperture');
nSubAperture = data.getKey(K.WFSNSUB);
... |
function [l,s]=sslq(a,b,q1,q2,mode,mon)
%-------------------------------------------------------------------------
% usage: [l,s]=sslq(a,b,q1,q2{,mode,mon})
% Programmed by Niels K. Poulsen
% Department of Mathematical Modelling,
% Technical University of Denmark
%--------------------------------... |
function getKeyAssignment
%
% get key assignment
global keys design
% Target keys for response
keys.upKey = KbName('UpArrow');
keys.downKey = KbName('DownArrow');
keys.space = KbName('Space');
FlushEvents('keyDown');
|
function [PSNR, yRGB_est] = CBM3D(yRGB, zRGB, sigma, profile, print_to_screen, colorspace)
%
% CBM3D is algorithm for attenuation of additive white Gaussian noise from
% color RGB images. This algorithm reproduces the results from the article:
%
% [1] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Color image
... |
function ok=examineTreeForArbitrages(tree,rets)
% this function examines the returns rets associated to tree
% looking for arbitrages, using the algorithm from Klassen.
T= length(tree(1,:));
ok=1;
t=2;
while(ok==1 && t<=T)
cv = tree(1,t-1); %set the reference value
ip = different_values(tree(:,1:t-1)); %count the p... |
function [ out ] = dealAllRoadLocation( data,label )
[dataRow, dataColumn] = size(data);
[labelRow, labelColumn] = size(label);
remember = [];
for i = 1:labelRow
i
for j = 1:dataRow
if cell2mat(table2cell(label(i,3))) == cell2mat(table2cell(data(j,2)))
remember = [remember j];
... |
EEG.etc.eeglabvers = '14.1.2'; % this tracks which version of EEGLAB is being used, you may ignore it
cd('')
path=pwd;
files=dir('*.set');
for i=1:length(files)
% for i=1:7
filename=files(i).name;
EEG = pop_loadset('filename',filename,'filepath',path);
ECG=EEG;
ECG.data=EEG.data(64,:);
... |
function doty=IANnetW(t,y)
global init b mm nn pp rr mmm nnn dphi phi d R q n m T r alpha Nalpha...
qP qM qDp qDm beta q0 theta0 dq Pinfty Minfty gamma myInf...
cclalpha taskstartangle;
global Talpha aa J R_noise C_noise gol;% neural network
global flag1 flag2 flag3 flag4 flag5 flag6 flag7 flag8 flag9;
n=8;
... |
function [] = plotOrderingNodesValues(ordering_table)
ordering;
% put ordering to row names
position_nodes = ordering_table{'Position','Nodes'};
smallest_init_domain_nodes = ordering_table{'Smallest_Initial_Domain','Nodes'};
smallest_constraint_nodes = ordering_table{'Smallest_Constraints','Nodes'};
largest_constrain... |
function [v] = gradn(u)
[M,N] = size(u);
dx = u(1:M-1,2:N)-u(1:M-1,1:N-1);
dy = u(2:M,1:N-1)-u(1:M-1,1:N-1);
v = dx.^2+dy.^2;
v = sqrt(v);
end
|
clc;
clear all;
close all;
x=input('input value of MUX');
y= input( ' input value of MUX');
if (x==0 && y==0)
disp('z=D0');
elseif(x==0&&y==1)
disp('z=D1')
elseif(x==1&&y==0)
disp ('z=D2')
elseif(x==1&&y==1)
disp('z=#');
else
disp('Nan');
end; |
function data_out = generate_Q(size,num)
I = eye(size);
count = 0;
data_out = zeros(size,size,num);
for ii = 1:size
for jj = ii+1 : size
temp = eye(size);
temp(ii,jj) = 1;
count = count + 1;
data_out(:,:,count) = temp;
if count == num
break;
end
end
... |
%%Dynamic LAdelay (DynLAdelay.m)
%Team J^4 + B
%Written by John Stuart
clear;
ARR=importdata('ARR.csv'); %(flights x data types)
ARRn=ARR.data;
ARRt=ARR.textdata;
%---------Include DEP in excel file-------
%-----------------------------------------
A=10; %length(ARRn); %number of aircraft
R=7; %number of... |
classdef ImagingManager < Base.Manager
properties
set_colormap = 'gray';
dumbimage = false; % If true (useful for experiments), no ROI/crosshairs or listeners (only applies in CC)
end
properties(SetAccess={?ImagingManager,?StageManager})
current_image = []; % H... |
% 2-layer deep learning model for SFDI
% need Matlab 2018b to execute
clear;clc;
load('random_test_data_100x100.mat'); % load random test data
load('weights_2_layer_deep_learning_SFDI_model.mat'); % load parameters of DNN model
%% Estimate optical properties from random test data
X = Rd_vec;
% Layer 1
n1 ... |
% 对识别错的样本，看他们的码流是什么
clear;
addpath ./1
load down_1.mat
test=down_1{53};
[codes,plane] = funGesDir(test);
plot(codes);
% save('cwv_1_codes.mat','codes');
%% functions
function [dir,plane] = funGesDir( sample )
ppX=max(sample(:,1))-min(sample(:,1));
ppY=max(sample(:,2))-min(sample(:,2));
ppZ=max(sample(:,... |
function texto=descifro_hill(A,m,cifrado)
%DESCIFRO_HILL
%Función que descifra un mensaje cifrado mediante la matriz A
%Parametros
%A: Matriz con la que se cifró el mensaje
%m: Modulo en el que se cifro el mensaje
%cifrado: Mensaje cifrado
%NOTA: con cifro_hill se puede hacer todo, pero por sencillez creo esta funcion ... |
function stageStats = plotSleepStats(stageData, outname)
% Stephanie Greer and Jared Saletin
% Walker Lab, UC Berekeley 11/22/2010
%
% stageStats = plotSleepStats(stageData, outname)
%
% Required Inputs:
% stageData - a scoring struct from sleepSMG scoring
% must have the following fields:
% stages - complete ... |
% agcvsfading.m: compensating for fading with an AGC
n=50000; % # steps in simulation
% Generating the sin function
fs = 8e3;
t = 1/fs:1/fs:n/fs;
r=5*cos(2*pi*1000*t); % generate the signal
% Fading profile
% The specifications state that the signal must be 1, then reduced 16 db... |
%ex 1 pc b
function [] = prob1B(miu, sigma)
Z = zeros(1000);
vect = Z(1, :);
for i = 1:1:1000
vect(i) = prob1(miu, sigma);
end
[N C] = hist(vect, 15)
N = N/(1000*(C(2)-C(1)));
bar(C, N, 1);
hold on;
v = min(vect):0.01:max(vect)
plot(v, n... |
function F = tcml(theta,u,v)
%TCML Maximum Likelihood Function for t copula.
% F = TCML(ALPHA,U,V) returns value of Logarithm from Maximum
% Likelihood Function multiplied by -1, for bivariate sample [U V]
% and copula parameters THETA. THETA contains correlation coefficient
% and number of degrees of free... |
% First of all, add stc toolbox to search path
addpath('G:\My Drive\EECE562_Steganography\Final_stego_project\Matlab_lib\')
% =============== Step 1: Prepare stego images for each payload ===========
% Generate_stego_images(0.05);
% Generate_stego_images(0.1);
% Generate_stego_images(0.2);
% Generate_stego_images(0.3... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function doEvaluateMatchingLocalObjectDb
% Evaluate the chi-square distance between the object and the
% background's histograms
%
% Input parameters:
%
% Output parameters:
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function plotSelectedErrorbars(data, error, name, resolution, yMax)
h=errorbar(1:resolution:length(data),data(1:resolution:end),error(1:resolution:end));
%k = get(h,'Children');
%set(k(1),'Color','w');
hold on
plot(data)
ylim([0 yMax])
saveas(h, strcat(name, 'ErrorAverage2', '.png'));
sa... |
f = imread('Fig1027(a)(van_original).tif');
f = tofloat(f);
gSobel_best = edge(f, 'sobel', 0.05);
gLoG_best = edge(f, 'log', 0.003, 2.25);
gCanny_best = edge(f, 'canny', [0.04 0.1], 1.5);
figure;
subplot(1,3,1);imshow(gSobel_best);title('Sobel best');
subplot(1,3,2);imshow(gLoG_best);title('LoG best');
subp... |
%% Question 1 and 2
clear all;
close all;
u=[5; 9; 17; 17; 5; 125;1];
v=[9;5;9;121;1;1;1];
for i=1:1:size(v,1)
f=figure;
set(f,'name',['2-dimensional inverse Fourier Transformation (p=', num2str(u(i)), ', q=', num2str(v(i)), ')'],'numbertitle','off')
fftwavetemplate(u(i),v(i));
end
%% Q... |
stabilize('input','output', '.jpg', 55, 2); |
function [distant_wing_area,WE_is] = WingExtension(we_or_agg,fly_apart_error,fly_body, fly_with_wing, initial_body_area,initial_wing_area,initial_body_MajorAxisLength,initial_body_MinorAxisLength,ROIs,frame)
%WINGEXTENSION Summary of this function goes here
% Detailed explanation goes here
if fly_apart_error > 0
... |
clc
clear all
load Data_singleLambdaMTC_25T.txt ;
load Data_singleLambdaMTC_50T.txt ;
load Data_singleLambdaMTC_100T.txt ;
format long e
m =30; %Give Credits
lambda=[0.01 0.05 0.1 0.5 1 3 5 7 9 10 30 50 70 90 100];
lambda2=[0.01 0.05 0.1 0.5 1 3 5 7 9 10 30 50 70 90 100];
T = [25 50 100] ; %Timer
T2... |
function dx = scalexaxis( xnorm, xrange, ax)
% function dx = scalexaxis( xnorm, xrange, ax)
%
% Scale an axes by a normalized height z_norm
%
% KIM 01.2016
if nargin<3
ax = gca;
end
% if no yrange is input, use the axes limits
if nargin<2
xl = get(ax, 'XLim');
xrange = range( xl );
end
% get the size... |
% Model3S1: Model 3, Step 1 --> initialize optimization
close all; clear all;
setupstart = tic;
% open parallel pool
parpool(10);
options = optimoptions('ga','UseParallel',true);
% six parameters: export scaling factor, mean TA, x_calc, m_calc, x_arag, m_arag
lb = [0.15 2375 0 0 0 0];
ub = [0.8 2425 20 2 20 2];
% G... |
function [ profil ] = determineProfil( BW, box, nbLines )
%determineProfil Retourne le profil du chiffre de la sous image de BW
%basé sur les coordonnées de la box box.
% BW image binaire source
% box coordonnées de la boite englobante à prendre en compte
% nbLines est le nombre de lignes à prendre en compte pour le ca... |
% Question 2.3
% Choose level 3 for data sequence 1
% Choose level 5 for data sequence 2
clear all;
I1=im2double(rgb2gray(imread('dog1.png')));
I1=imresize(I1,[512 512]);
[rows cols]=size(I1);
I2=im2double(rgb2gray(imread('dog2.png')));
I2=imresize(I2,[512 512]);
% Using Reduce function for both images
I... |
function x = sgplvmOptimisePoint(model,x,Y,display,iters,comps,gradcheck)
% SGPLVMOPTIMISEPOINT Optimise the latent location.
% FORMAT
% DESC Takes a sgplvm model structure, observed point and latent initialisation
% and optimises latent location
% ARG model : sgplvm model
% ARG x : latent initialisation
% ARG Y : ob... |
function A = hw2p10(m,n)
ey = ones(m,1);
DY = spdiags([ey -ey ey],[1-m 0 1],m,m);
dy = kron(eye(n),DY);
ex = ones(m*n,1);
dx = spdiags([ex -ex ex],[m-m*n 0 m],m*n,m*n);
A = [dx;dy];
end |
function writeBDL(filename,V,F)
% WRITEBDL Write a mesh to a .bdl file
%
% writeBDL(filename,V,F)
%
% Inputs:
% filename path to .bdl file
% V #V by dim list of mesh vertices
% F #F by 3 list of triangle indices
function headerStart = writeBDLChunkHeader(fp, chunktype, nBytes)
% writes ch... |
function [phi, h] = intcor(u, y)
% we assume same length for the signals u and y
len = size(u,1);
% we compute correlations for h in [-half, ..., 0, half]
half = ceil(len/2);
h = (-half:1:half)';
phi = zeros(size(h, 1), 1);
M = size(h,1);
for i = 1:M
phi(i) = sum(u .* circshift(y, -h(i)));
end
phi = 1... |
%% This is the modelling of neuron (deterministic kinetic model)
iter = input('enter the iteration(time in milli second): ');
k = 6;
I = [-3 0 1 6 8 12];
%% defining function
alpha_n = @(V) 0.01*(10 - V)/(exp((10-V)/10) - 1);
alpha_m = @(V) 0.1*(25 - V)/(exp((25-V)/10) - 1);
alpha_h = @(V) 0.07*exp(-V/20);
beta_n... |
%% Load NNetwork into microctrl
fprintf('\t***************************');
fprintf('\t\tLoad neural networks and put into Microcontroller\n');
fprintf('\t\tLoad network files\n');
if exist('GazeCalNetFile','var')==1
if exist(GazeCalNetFile,'file') ==2
GazeNet = load(GazeCalNetFile,'-mat');
[... |
function state = new_trial(program, conf)
state = ptb.State();
state.Name = 'new_trial';
state.Entry = @(state) entry(state, program);
state.Loop = @(state) loop(state, program);
state.Exit = @(state) exit(state, program);
end
function entry(state, program)
structure = program.Value.structure;
data = sfix.task.Da... |
function [ x ] = pareto_sample(n, lb, ub, alpha)
%
U=rand(n,1);
%x=(-(U.*ub.^alpha-U.*lb.^alpha-ub.^alpha)./(ub.^alpha*lb.^alpha)).^(-1./alpha);
x= (-(U .*(1-(lb/ub).^alpha)-1)./(lb.^alpha)).^(-1/alpha);
end
|
function varargout = DPABIFiber_Install(varargin)
% DPABIFIBER_INSTALL MATLAB code for DPABIFiber_Install.fig
% DPABIFIBER_INSTALL, by itself, creates a new DPABIFIBER_INSTALL or raises the existing
% singleton*.
%
% H = DPABIFIBER_INSTALL returns the handle to a new DPABIFIBER_INSTALL or the handle to
%... |
clear all;
N=1000;
teta=0.3;
Z=0;
F=zeros(1,20);
for u=1:20
Z=0;
for i=1:N
K=geornd(teta/(1+teta));
X=exprnd(1,1,K);
if sum(X)>u
Z=Z+1;
end
F(u)=Z/N;
end
end
plot(F,'b*')
hold on
u = [0:20];
psi = (1/1.3) * exp(((-0.3/1.3) * u));
plot(u... |
%% Estimate optimal Granger causality order to determine causality between component time series
% Requires the Multivariate Granger Causality toolbox, available at
% http://www.sussex.ac.uk/sackler/mvgc/
% Toolbox version used: mvgc_v1.0, last updated on March 27 2014
%
% Author: Marrit Zuure, January 2019
% Drawing ... |
function [X,y] = read_mnist(filename)
train = dlmread(filename,",",1,0);
X = train(:,2:end);
y = train(:,1);
end
|
function [ pStack, OvMat1, OvMat2, OvMat3] = generateSpecularFlowEquations_WeakNeighbors_SparseFlow(X_fl, Y_fl, X_sta, Y_sta, X_stp, Y_stp, R, pSizeR, pSizeC, pShiftR, pShiftC, verb)
RTrans = R';
r11= R(1,1); r12 = R(1,2); r21 =R(2,1); r22 = R(2,2);
nPRow = floor((size(X_fl, 1)-pShiftR+1)/pShiftR);
nPCol = fl... |
clc;
clear;
im_0=imread('../data/1.tif');
[m,n]=size(im_0);
im_temp=true(m,n);
im_temp(2:m-1,2:n-1)=false(m-2,n-2);
im_label=im_0 & im_temp;
%se=logical(ones(3000,3000));
%im_dilate=imdilate(im_label,se);
%im_next= im_dilate & im_reverse;
im_next=myReconstruction(im_label,im_0);
im_h=im_0 & (~im_next... |
function stlfp = getSTA4mp(lfptrace, lfptime, spktime, wnd, fs)
%%
% generic function to get spike-triggered averaging LFP
% note that the input 'lfptrace' must be a 0-mean vector
%
if isempty(spktime)
stlfp = nan;
return
end
% 0-mean vector
% lfptrace = lfptrace - mean(lfptrace(lfptime >= spktime(1) & lfptim... |
function [eff]=CAT_SLAB_nth(kv,D,L,Cs,m)
% Function solves catalyst particle. slab geometry. nth order reaction.
% Only Interal mass transfer.
% equation:
% c'' - lamda^2*c = 0; cii = second derivative of c to theta.
% lamda = L*(kv/De)^0.5
% c is the concentration
% theta is dimensionless length of the slab x/L,
... |
clc
clear all
close all
tic
javaaddpath('/Users/hroarty/Documents/MATLAB/HJR_Scripts/radial_database/mysql-connector-java-5.1.6-bin.jar');
% Declare time for a single year plot
% year.num=2014;
% year.str=num2str(year.num);
% t1 = [year.str '-1-1 00:00:00'];
% t2 = [year.str '-12-31 00:00:00'];
%% Declare time fo... |
function kern = mk_updateKernWeight(kern,weight)
% 更新核函数的权重
num_kerns = length(kern.comp);
for i = 1:num_kerns
kern.weight(i) = weight(i);
end
end |
function [newobj] = findCars(imgray)
bw = edge(imgray, 'sobel');colormap gray;
bw = imdilate(bw,strel('disk',4));
%imagesc(bw);colormap gray;
[L, num] = bwlabel(bw, 4);
%hold on
%imagesc(imgray)
zero=0*imgray;
%B=zeros(size(imgray),num);
a=0;
for i = 1:num
pix = L==i;
obj=zero;
obj(pix)=1;
objsize=bw... |
N=100;
col=ones(N,1);
% make differentiation matrix
D=-spdiags([col,-2*col,col],(-1:1),N,N);
% solve eigenvalue problem
[F,V]=eigs(D,10,'sa');
% fix boundary points
F=[zeros(1,10);F;zeros(1,10)];
plot(F(:,1:4),'linewidth',3), grid on, axis tight
title('Standing waves')
% Copyright 2008-2009 The MathWorks,... |
base_1500_loads;
%clear ISO;
ISO=dsim.ISO();
ISO.init();
load('combined_june_model');
errorP=@(t) loadmodel(t)-forecastmodel(t);
T_w=60*5; %5 minutes
numLoadDays=8;
startTestDay=7*24*60*60;
endTestDay=startTestDay+1*24*60*60;
timeTestDay=startTestDay:10:endTestDay;
timeTrainDay=1:10:startTestDay-1;
PrMWtokW=1/10... |
function [] = computeconditionalpdf(ds,dimx,dimy,methodk,methodc,N)
%This function use copulae to compute the conditional probability
%distribution of f_y/x
%inputs
% ds: the dataset
% dimx: x dimension
% dimy: y dimension(s)
% methodk: kernel method for estimating marginals
% (normal,box,... |
%Under the main direction, [apd/ccd int; mesh ccd with int,ave el; mesh newccd with lf; normalized dtime along time.]
%is plotted. the origin data is from dataset.
clearvars; close all;
letter_char=num2cell(1:120);letter_box=cell(1,120);
for i=1:120
if i<=26
letter_box{1,i}=char(64+letter_char{1,i});
e... |
function output = get_standard_colors(color_index)
% Get the default plot colors used by matlab.
% Color resource: https://nl.mathworks.com/help/matlab/graphics_transition/why-are-plot-lines-different-colors.html
colors = [0 0.4470 0.7410
0.8500 0.3250 0.0980
... |
function test_suite = test_triangleArea3d
%TEST_TRIANGLEAREA3D Test case for the file triangleArea3d
%
% Test case for the file triangleArea3d
% Example
% test_triangleArea3d
%
% See also
%
%
% ------
% Author: David Legland
% e-mail: david.legland@grignon.inra.fr
% Created: 2011-08-23, using... |
function A = DHCraig(alpha, a, d, tetha)
A = [cos(tetha) -sin(tetha) 0 a;...
sin(tetha)*round(cos(alpha)) cos(tetha)*round(cos(alpha)) -round(sin(alpha)) -d*round(sin(alpha));...
sin(tetha)*round(sin(alpha)) cos(tetha)*round(sin(alpha)) roun... |
%Generates the parameters structure for nscs long step with the default parameters
pars = struct;
%Set up the default parameters
pars.max_iter = 100; %Maximum outer iterations
pars.max_affine_backtrack_iter = 300; %Maximum affine backtracking steps
pars.backtrack_affine_constant = 0.9; %Affine backt... |
%
% GOF Goodness of Fit statistics
%
% stats = GOF(V,Vfit,Ndof,sigma)
% Given some input data (V) and its corresponding fit (Vfit), with (Ndof)
% degrees of freedom and with an underlying error with standard deviation
% (sigma), returns a structure (stats) with multiple statistical
% indicators of good... |
function p = older(y1, m1, d1, y2, m2, d2)
if y1>y2
p=-1;
elseif y1<y2
p=1;
else
if m1>m2
p=-1;
elseif m1<m2
p=1;
else
if d1>d2
p=-1;
elseif d1<d2
p=1;
else
p=0;
end
end
end
|
function [ p ] = poly_val( c0, c, x )
if isempty(c)
p = c0;
elseif isscalar(c)
poly = c0 + c*x;
p = sum(poly(:));
else
if size(c, 1) > 1
c = c';
end
poly = [c0, c] .* ( x .^ (0 : length(c)) );
p = sum(poly(:));
end
end
|
sflag=1; % System flag 0-3.
% Physical system (0), Discrete time linear model (1),
% Continous time linear model (2), Nonlinear model (3)
% test model (4,5)
w0=19; % set point - operation point
if sflag==4, w0=0; end; % test
if sflag==5, w0=0; end; % test
global data t t0 % some data a... |
function [ output ] = fract2float( y )
%FRACT2FLOAT Transform a signed 16bit integer in signed fractionary format to floating point number between 0 and 1.
y(y>2^15-1) = 2^15-1;
y(y<-2^15) = -2^15;
y = double(y);
y(y > 2^15-1) = -y(y > 2^15-1);
%y = y - 2^15
output = y / 2^15;
end
|
%=========================================================================%
% getZeta.m %
% Получение значения переменной zeta в заданной точке в history-файлах %
%=========================================================================%
function [dataO... |
function [ Segements ] = segmentEMGperConditions( EMGdata, Condition , segmentLength )
%% SEGMENTEMGPERCONDITIONS Cuts EMG data into segements
%
% This function uses the output of importEMGbinaryfiles, and some paramers
%
% See also importEMGbinaryfiles
Segements = struct;
% Assiciate channels to the corresponding mu... |
clear variables;
clc; close all;
% Create the bosonic creation and annihilation operators
S = 4;
s = arrayfun(@sqrt, 1:S);
a = diag(s, 1); % Annihilation
a_d = diag(s, -1); % Creation
n = diag(0:size(a)-1); % Number operator = a * a_d
I = eye(size(a)); % Identity operator
% --------
% On-site inte... |
function ind = g2seg(layer_g)
%%
sz = size(layer_g(:,:,1));
nL = size(layer_g,3)+1;
ind = ones(sz(1), sz(2)) * nL;
for i = 1:nL-1;
tmp = layer_g(:,:,i)>=0;
for j = 1:i-1;
tmp = tmp & layer_g(:,:,j)<0;
end;
tmp = double(tmp);
% visible in front layers
tmp(ind < i) = 0.5;
... |
format long
a = input('Please input a positive real number: ');
N = input('Please input the number of iterations: ');
x = a/2; %Initial guess
disp(x) %Display initial guess
for i = 1:N
x = (x + a / x) / 2;
disp(x)
end
disp( 'MATLAB''s value: ')
disp(sqrt(a))
disp('The difference is : ')
disp(x - ... |
function mskew = movskew(data, varargin)
% function that calculate moving skew using a window determined by the
% variable varargin. If varargin is empty a accumulated skew moving one day
% is obtained
% input:
% data = variable to calculate the metric
% varargin = window to calculate the metric
% output:
% m... |
for i = 1:length(new_map)
newPts = [new_map(i, 1) - 1, new_map(i, 2);
new_map(i, 1) + 1, new_map(i, 2);
new_map(i, 1), new_map(i, 2) + 1;
new_map(i, 1), new_map(i, 2) - 1];
if(sum(inpolygon(newPts(:, 1), newPts(:, 2), pad_inpolygonMapformatX, pad_inpolygonMapformatY)) == 4)
node_gra... |
% book : Signals and Systems Laboratory with MATLAB
% authors : Alex Palamides & Anastasia Veloni
%Fourier Transfrom properties
% Conjugation
%x(t)=exp(-t)u(t)
%F{conj{x(-t)}}
x=exp(-2*t)*heaviside(t);
x_=subs(x,t,-t)
Left=fourier(x_,w)
%conj{X(w)}
X=fourier(x,w);
Right=conj(X)
|
function ESAM445_WeightJacobi_MingfuLiang(K,N,omega,starting_method)
% Author: Mingfu Liang
% Date: 2019/05/07
%
% Implementation of Weight Jacobi Method for solving Helmholtz equation.
%
% Input:
% K:
% Input -2, 0 or 2 to choose different Helmholtz equation.
%
% the par... |
function plotFig1d(save_fig)
% PLOTFIG1D Plots grid of threshold-direction maps (Mollweide projection)
% Data should already be generated and saved in
% mat/nrn_sim_data/<model_prefix>.mat
if nargin == 0
save_fig = 0;
end
mat_dir = addPaths;
nrn_model_ver = 'maxH';
tms_mode = 1; % monophasic
cell_ids = 1:25;
mod... |
function varargout = text2( varargin )
% Wrapper for text.m that ensures displayed text fits in figure.
%
% When text is called, Matlab displays the text, but does nothing to ensure
% that all of the text fits in the figure. This function, after calling
% text, shrinks the axes until the text is fully visible. Note t... |
typing_trials = tdfread('typing_trials.csv');
%% USING rm_anova2
%wpms = typing_trials.wpm;
%participants = str2num(typing_trials.participant_id(:,2:3));
%sessions = typing_trials.session_id;
%modes = typing_trials.mode_id(:,end);
%fact_names = {'Session', 'Mode'};
%stats = rm_anova2(wpms, participants, sessions, mode... |
clc;
close all;
im = 'Img_1.jpg'; % Read the image
im22 = imread(im);
[row,col] = size(im22);
OutputMap = analyze(im);
[m,n] = size(OutputMap);
img = OutputMap;
for i = 1:m
for j = 1:n
if(img(i,j) < 4) % Set the threshold
img(i,j) = 0;
else
img... |
clear all;
P=[0.4036 0.4154 0.5352 0.5524 0.7709 0.7589;...
0.4365 0.4711 0.6408 0.6528 0.7812 0.7965;...
0.4860 0.4639 0.6145 0.6234 0.8204 0.8125;...
0.5161 0.4981 0.6299 0.6715 0.8425 0.8506;...
0.3419 0.3806 0.7154 0.7025 0.8622 0.8709];
net=newc(minmax(P),3,0.1);
net=init(net);
net.trainParam.epochs=... |
pmos = csvread('../data/experiment1_pmos_1.csv', 1);
pmos_downsample = vertcat(pmos(120:200, :), downsample(pmos(201:1000, :), 8));
% make sure to set N > 10 to N > 3 on line 49 of linefit.m
[Is, VT, kappa] = ekvfit(pmos_downsample(:, 1), pmos_downsample(:, 2), 5e-3, 'on')
% Is = 5.9167e-09
% VT = -0.6725
% ... |
function status = XuShowFirstFrame(img)
status = 1;
imshow(img(:,:,1),[]) |
function [krQ, kriQ, smat]=kernelQ(v,x,tol)
% KERNELQ checks whether the imputation x is a kernel element
% of the TU-game v.
%
% Usage:[krQ, kriQ, smat]=kernelQ(v,x,tol);
%
%
% Define variables:
% output:
% krQ -- Returns 1 (true) whenever the impuatation x is
% a kernel element, otherwise 0 (f... |
clear S3 S3_filt;
%%
S3=zeros(1,N_NU);
for (n=1:N_NU)
%%
nu_test=nu_values(n);
clear nu_surf_radius;
r_count=1;
nu_surf_radius=zeros(Nomega*N_NU,1);
for (omega=1:Nomega)
for (r=2:pos_psi_rx)
r_value=scale_r(r);
omega_value=scale_omega(omega);
... |
function [y] = Griewank(x)
dim = 30;
sumsq = 0;
prod = 1;
for i=1:dim
sumsq = sumsq + x(i)*x(i);
prod = prod*(cos(x(i)/sqrt(i)));
end
y = 1 + sumsq * 1/4000 - prod;
|
n=1;
for(p=1:NP)
for(r=1:Nradial)
%pressure_norm_PR_map(p,r)=finesse_data(n,end-31);
pressure_norm_PR_map(p,r)=P_initial_profile(r);
n=n+1;
end
end
% Pnorm_XZ_map=griddata(finesse_data(:,1),finesse_data(:,2),finesse_data(:,end-31),XX,ZZ,'cubic');
% Pnorm_XZ_map(isnan(Pnorm_XZ_map)) = 0;... |
% Graphs GKK Wealth Tax
% Sergio Ocampo Diaz
javaaddpath('jxl.jar');
javaaddpath('MXL.jar');
import mymxl.*;
import jxl.*;
%% Parameters
% Grids
n_a = 201 ;
n_z = 7 ;
n_l = 5 ;
n_e = 5 ;
Max_Age = 81 ;
Ret_Age = 45 ;
% Utility and technology
sigma = 4.00 ;
gamm... |
function out = controller_linear_path(in)
global dzeta
om_d = in(1);
v_d = in(2);
theta_d = in(3);
x_d = in(4);
y_d = in(5);
theta = in(6);
x = in(7);
y = in(8);
kappa_d = in(9);
j_S = [cos(theta_d+pi/2);
sin(theta_d+pi/2)];
q_el = [x;y]; % (1.9)
q_del = [x_d;y_d]; % (1.9)
e_l_help = q_el - q_del; % (1.9)
... |
% Conditional Blackout Size distribution for different destinations
% Input parameter table
clear all; close all;clc;
load tail.mat
% IEEE-118 bus system
NumberOfLines=186;
% Truncation (trick to reduce numerical solution time)
L=186;
epsilon=0.01;
% Max number of capacities
Capa=[20 80 200 500 800];
% Caps=[80 200 500... |
function single_item_ROI_AssNonAssAverageBetas(TextFile)
%+---------------------------------------
%|
%| Robert C. Welsh
%| 2002.10.20
%|
%| University of Michigan
%| Department of Radiology
%|
... |
function [validPlot, pulseData] = dataProcess(handles,firstProcess, hObject)
%pulse process and plot to gui
%process MPC data
[validProcess, pulseData] = PulseProcessScope(handles,firstProcess, hObject);
if validProcess
%publish results into table
validPublish = PublishResults(pulseData,handles);
%plot s... |
% Plot typical AMR solutions for darcy brinkman problems
function Fig5FixedPorosityConvectionPlots(dataFolderNu, dataFolderVariablePorosity, figureDirectory)
if nargin < 3
% dataFolderNu = getDataDir('AMRConvergenceTest/ConvectionDB/chi0.4-Da0.01-Ra1e5/');
% dataFolderVariablePorosity = getDataDir('AMRConverge... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.