text stringlengths 8 6.12M |
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%% Setup constants
ySize = 500; %number of x pixels
xSize = 500; %number of y pixels
a=4; %radial Cycles per image
b=4; %Number of windings per image, 0 = radial grating,
phase=pi/4;
%transfer function parameters, linear: c50=1000,
%Rmax=1001,n=1,rectify=false
c50 =.3;
Rmax=1;
n=17;
rectify = true;
%% Make image
xC... |
with = load('xforms_with_padding_short.mat');
without = load('xforms_without_padding_short.mat');
% with = load('xforms_with_padding.mat');
% without = load('xforms_without_padding.mat');
with = with.attr;
without = without.attr;
%%
diff_norm = zeros(numel(with.differences), 1);
figure(1); clf;
axis([0, 10, 0, 10])
... |
function [scores] = computeCompressionScoresVar( datafile, CTfile )
load(CTfile);
size(CT)
[CT] = modify_CT(CT)
data = textread(datafile);
[N f] = size(data)
scores = zeros(N,1);
for i=1:N
d = data(i,:);
for j=1:size(CT,1)
dims = CT{j,1};
dd = d(dims);
els = CT{j,3};
... |
%% Convergence
start=tic();
N = 73;
pot = zeros(1,N);
h = zeros(1,N);
for i=1:N
pot(i) = integr(1, 1, 17 + i, 'simpson');
h(i) = 1/(17 + i);
end
plot(h.^4,pot,'o')
grid ON
xlabel('h^{4}')
ylabel('\Phi')
time=toc(start)
%% error test
pot1000 = integr(1, 1, 1000, 'simpson');
errorInt = pot-pot1000;
loglog(1./h... |
function [output, state, dstate, input] = rk4f(...
block,...
dt,...
time,...
Xi,...
inputf,...
finput...
)
numSteps = numel(time);
output = zeros(numSteps,block.numOutputs);
state = zeros(numSteps,block.numStates);
dstate = zeros(numSteps,block.numStates);
input = zeros(numSteps,block.numIn... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% Generated by MATLAB 9.7 and Fixed-Point Designer 6.4 %
% %
%%%%%%%%%%%%... |
%ROBOT PARCIAL
clc; clear all;
syms q1 q2 L1 L2 L3 L4 d
T = DH(q1, L1+L2, L3,0)*DH(q2, 0, L4, pi)*DH(0,d,0,0)
q1=0.0;
q2=0.0;
L1=0.2;
L2=0.8;
L3=0.6;
L4=0.4;
d=0.2;
i=1;
flechaDH(0,0,0,0);
for q1 = 0.0:pi/24:pi
for q2 = 0.0:pi/24:pi/2
for d = 0.0:0.1:0.8
Aux=eval(T);
posX(... |
function [C, a_status] = map_fill(C, varargin)
%
% NAME
%
% function [C, a_status] = map_fill(C [,<floodValue>])
%
% ARGUMENTS
% INPUT
% C class curvature_analyze class
%
% OPTIONAL
% floodValue any value to insert at each map reference
%
% OUTPUT
% C class curva... |
vn = tools.makeFitSummaries('data/20150615-nancy/fits', true, 'ASD');
vp = tools.makeFitSummaries('data/20150615-pat/fits', false, 'ASD');
vr = [vp vn];
%%
vt = vr;
fns = fieldnames(vt);
tps = unique({vt.type});
for ii = 1:numel(fns)
fn = fns{ii};
if ~isempty(strfind(fn, 'is_'))
disp(fn);
for ... |
%% STK2Datetime.m
% Author: Julianna Evans
% Date: 08.01.17
% Last Revision: 08.01.18
% Converts STK strings to MATLAB datetime variable based on position of
% characters in the string.
function [datetimeVAR] = STK2Datetime(stkSTR)
% STK string format: 'DD MMM YYYY HH:MM:SS.SSS'
%% Check if the STK datetime string ... |
opt1D = initOptnlpp4m();
[rhoNew, VpotNew, DNew, VNew, occ, ...
efermi, INDNew, HMatNew, iter,update] = metaltest1(opt1D);
Npole = 60;
T = opt1D.temperature;
Gap = 0.0;
DeltaE = 2.0;
mu = efermi;
hs = opt1D.hs;
Ls = opt1D.Ls;
NsGrid = opt1D.NsGrid;
itertol = opt1D.itertol;
Ne =... |
% 4. Target beats, speed not constant
function [CFG, DATA] = EB4(CFG, DATA, test_idx)
[CFG, DATA] = EB_Core(CFG, DATA, test_idx); |
function [ ] = SpikingGraphVid( spikes,weights,celltypes,voltage )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%%
spikes = SimValues.spikes;
weights = SimValues.WeightMat;
celltypes = ones(length([SimValues.EcellIDX SimValues.IcellIDX]));
celltypes(SimValues.IcellIDX) = 2;
%% Calcu... |
% Kaja Coraor
% Comp 590
% Assignment 2 - Part 1
from = imread('airplane small.jpg');
to = imread('ocean small.jpg');
%*****************************************************************
% Create mask
% e = imfreehand();
% BW = createMask(e, h_im);
% mask = BW;
%*****************************************************... |
function[out] = ARmodel(x)
global year p is res t model
switch model
case 1
% Original Model
vals = num2cell(x);
[r0,a] = deal(vals{:});
for i = 1:t
m(i) = a*i;
r(i) = exp(m(i)*i)/((1/r0)-1+exp(m(i)*i));
end
case 2
% Model 1
vals = num2cell(x);
[r0,a]... |
% Test Cases:
[out1] = beMyHero(movieOptions1, friendList1, nflxList1, stats1);
[out1_soln] = beMyHero_soln(movieOptions1, friendList1, nflxList1, stats1);
% out1 => Based on condition 1, X-Men would be a great choice!
%
[out2] = beMyHero(movieOptions2, friendList2, nflxList2, stats2);
[out2_soln] = beMyHero_soln(mo... |
// RUN: rm -rf %t
// RUN: env CINDEXTEST_COMPLETION_CACHING=1 \
// RUN: c-index-test -test-load-source-reparse 2 local %s -fmodules -fmodules-cache-path=%t -I %S/Inputs \
// RUN: | FileCheck %s
// CHECK: complete-module-undef.m:7:1: ModuleImport=ModuleUndef:7:1 (Definition) Extent=[7:1 - 7:20]
@import ModuleUnde... |
classdef uiTestPKI < matlab.uitest.TestCase
properties
physician
end
methods(TestMethodSetup)
function createApp(testcase)
testcase.physician = PISdisplay;
testcase.addTeardown(@delete,testcase.physician);
end
end
methods(Te... |
function GetCellSize( obj, mesh )
% Hcell = getStdCell( mesh.cell.N, enumStdCell.Line );
Hcell = StdLine(mesh.cell.N);
Vcell = StdLine(mesh.cell.Nz);
Vq = zeros( numel(Hcell.rq)*numel(Vcell.rq) ,( mesh.cell.N + 1 ) * ( mesh.cell.Nz + 1 ));
hq = repmat(Hcell.rq,numel(Vcell.rq),1);
vq = repmat(Vcell.rq,1,numel(Hcell.rq))... |
function [optParams] = main(dirname, header, outFile, lambda, noprior, parUse, contactPotential)
naa = 20;
if isempty(lambda)
lambda = 1000;
end
tstart = cputime;
%% read input
disp(strcat('start ', dirname));
conpot = 'conpot.free.dun.list';
if ~isempty(contactPotential)
conpot = contactPotential;
end
[l... |
clc;
clear;
close all;
%read the images.
Original_Image1 = imread('toy_formatted2.png');
Original_Image2 = imread('toy_formatted4.png');
%Apply Gaussian Filtering to the images
I1_filtered=double(gaussian_filter(Original_Image1, 2.0));
I2_filtered=double(gaussian_filter(Original_Image2, 2.0));
%get the number of row... |
function regenerateClasses(source)
error('does not work');
fprintf('Source = %s\nPress enter to continue, or Ctrl-c to stop\n',source);
pause;
cd(source);
classes = classesBFS('-source',source,'-topOnly',true);
nclasses = numel(classes);
supers = cell(nclasses,... |
function scans_to_process = sVBM_warp_timepoint_to_MNI_via_existingpushwarp( scans_to_process, templatepath, smoothingFWHM )
%sVBM_warp_timepoint_to_MNI_via_long - warp from DARTEL space to MNI
%
% Syntax: scans_to_process = sVBM_warp_timepoint_to_MNI_via_long( scans_to_process, dartelpath)
%
% Inputs: scans_to_proces... |
function cc=consistency_measure_3d(ti,Y)
% LBP of TI:
[Hti8_1,Hti8_2,Hti8_3]=LBP_3d(ti,8);
[Hti12_1,Hti12_2,Hti12_3]=LBP_3d(ti,12);
[Hti16_1,Hti16_2,Hti16_3]=LBP_3d(ti,16);
for i=1:size(Y,4)
i
re=Y(:,:,:,i);
[Hre8_1,Hre8_2,Hre8_3]=LBP_3d(re,8);
[Hre12_1,Hre12_2,Hre12_3]=LBP_3d(re,12);
... |
function check = test_rerun()
N = 100;
A = -5*gallery('grcar',N,3);
b = ones(N,1);
xi = [5.0523-29.5113i, ...
5.0523+29.5113i, ...
9.3187-25.2383i, ...
9.3187+25.2383i, ...
12.1265-21.3194i, ...
12.1265+21.3194i, ...
14.0793-17.5109i, ...
14.0793+17.5109i, ...
15.4216-13... |
function y = oddballtrain(stimuli, trainset, totalstim, probs, minstim, filename, codes, format)
% ODDBALLTRAIN Produces a sequence file using the Oddball train paradigm
%
% ODDBALLTRAIN(stimuli, trainset, totalstim, probs, minstim, filename, path, codes, format)
%
% stimuli a cell containing the stim... |
hold on
grid on
plot(averagegroup(r5.Host_Peer_Count,rep),averagegroup(r5.DHT_MsgFwd_Count,rep),'bo-')
plot(averagegroup(r10.Host_Peer_Count,rep),averagegroup(r10.DHT_MsgFwd_Count,rep),'b*-')
plot(averagegroup(r20.Host_Peer_Count,rep),averagegroup(r20.DHT_MsgFwd_Count,rep),'bx-')
plot(averagegroup(r30.Host_Peer_... |
classdef FixedMultiIndexSet < handle
properties (Access = private)
id_
end
methods
function this = FixedMultiIndexSet(varargin)
if(nargin==1)
this.id_ = MParT_('FixedMultiIndexSet_fromMultiIndexSet', varargin{1}.get_id());
else
this.id_ = MParT_('FixedMultiIndexSet_newTotalOrder',varargin{... |
function data=acquire(ip_addr,samps,dec,ave_dec)
% Red Pitaya Acquire Utility
% Borut Baricevic
% function data=f_acquire(ip_addr,samps,dec)
%
% Returns two columns containing the acquired samples on two channels
%
% ip_addr: Red Pitaya IP address
% samp : Acquired samples (max 16k)
% dec : Red Pitaya decimation... |
figure
subplot(3,1,1)
plot(x,y,'m')
t=title('Voltage with Frequency Span of -20 to 20 kHz')
t.FontSize=18;
ylim([0 30])
z=ylabel('Voltage (V)')
z.FontSize=16;
c=xlabel('Frequency (kHz)')
c.FontSize=16;
subplot(3,1,2)
plot(x_1,y_1)
t=title('Summation of Delta Dirac Function')
t.FontSize=18;
ylim([0 30])
z=ylabel('Voltag... |
function [ x1, x2 ] = QPNR( a, b, c )
%QPNR obliczanie pierwiastków równania kwadratowego
% a,b,c - wspó³czynniki trójmianu kwadratowego
% x1,x2 - pierwiastki
l1=-b+sqrt(b^2-4*a*c);
l2=-b-sqrt(b^2-4*a*c);
if abs(l1)>abs(l2)
l=l1;
else
l=l2;
end
x1=l/(2*a);
x2=(-b/a)-x1;
end
|
function [ features ] = extractGaborFilter( image, class, radius )
%% Pobranie wymiarów obrazu.
image = cat(3, repmat(image(:,:,1), 1, 1, radius), image);
image = cat(3, image, repmat(image(:, :, size( image, 3 )), 1, 1, radius));
image = cat(2, repmat(image(:,1,:), 1, radius, 1), image);
image = cat(2, image, repmat... |
function [x,y] = epitrochoid(t)
% definita tra 0 e 6*pi
a=2;
b=3;
c=1;
x = (a-b)*cos(t)-c*cos((a/b+1)*t);
y = (a-b)*sin(t)-c*sin((a/b+1)*t);
end
|
% This class provides the framework for both
% of the agent types in our model.
% Declare consumption, outcome, and behaviour within
% that interacts with the Tank
% List for both fish, plant in the same arrays
classdef (Abstract) Agent < matlab.mixin.Heterogeneous
% Must be implemented
methods (Abstrac... |
function [ WSN_ANNWavelet_Input_DataCell, WSN_ANNWavelet_Target_DataCell, SignalPrediction_Possibilty_YesNo ] = WSN_ANNWavelet_DataPreparation( SensorDataMatrixLabelled_Cell, SensorGroup, FaultyData_YesNo, WindowSize, ContinuousWindow_YesNo, Wavelet_Level, Wavelet_Filter, FeatureEnergySignal_YesNo )
%% Function Input a... |
if isunix==0
data_folder='D:\Raw\AlzheimerEEG\Multivariate AFAVA artefact free';
save_folder='D:\Extracted\Alzheimer\Multivariate AFAVA artefact free\AFAVA_1sectrials\';
else
data_folder='/home/engbiome/INECO/INECO_fieldtrip/';
save_folder='/home/lspyrou/Documents/results/INECO/';
end
%%
fidx_patient... |
function [ dt,t,w] = parametersTime( t_max,nn )
dt =2* t_max/(nn); % time spacing in s
t = linspace(-t_max,t_max,nn);
w = linspace(0,1,nn)/dt;
end
|
function [finterp] = bilin_interp(x,y,f,yi,xi)
%define lengths and allocate space
n = length(xi);
m = length(yi);
finterp = zeros(m,n);
%get four points to interpolate with
[idxx,idxy] = interpidx2D(y,x,xi,yi);
%loop over all xi's and yi'x
for i = 1:n
for j = 1:m
%get grid point values
x0 = x(idx... |
%% Segmentation part
clc;
clear;
close all;
%% load image
img = imread('Dataset/2euro_b1.jpg');
figure;imshow(img,[]);
title('image');
%% Preprocessing
% Gaussian filter
img1 = imfilter(img,fspecial('gaussian',[9 9],2));
figure;imshow(img1,[]);
title('Gaussian filter');
% Sharpening
img1 = imsharpen(img1);
figure... |
load SpikeTimeGaussian
load GaussianMovieData
SetGlobalVals();
load('Global');
% WW(:,1) - Event marker, marks important event on the screen
% StimTime - Array that contains the start time of a new event(can be
% reapeat or non reapet event)
% number of neurons to include
N = 251;
lengthOfSTAFilter = 4000;
numOfSessi... |
allPhonemes = {'p' 't' 'k' 'pcl' 'tcl' 'kcl' 'dx' 'm' 'n' 'ng' 'nx' 's' 'z'...
'ch' 'th' 'f' 'l' 'r' 'y' 'pau' 'hh' 'eh' 'ao' 'aa' 'uw' 'er' 'ay'...
'ey' 'aw' 'ax' 'ix' 'b' 'd' 'g' 'bcl' 'dcl' 'gcl' 'q' 'em' 'en' ...
'eng' 'sh' 'zh' 'jh' 'dh' 'v' 'el' 'w' 'h#' 'epi' 'hv' 'ih' 'ae'...
'ah' 'uh' 'ux' 'oy'... |
clear;
close;
clc;
%numerical
function c = nCr (n,r)
c = factorial(n)./factorial(r)./factorial(n-r);
endfunction
sum = 0;
for r = 1:15
sum += r^2 * nCr(15,r) / nCr(15,r-1);
end;
sum
clear;
%theoretical
r = 15;
sum = (-2*r^3 + 45*r^2 + 47*r)./6
|
% w : 0 or somthing else
% 0 means initial condition
function general_settings(w,handles)
global gsettings
cpath = getcurrentdir();
if (w == 0)
try
load([cpath '\settings.dat'],'-mat','gsettings');
catch
gsettings.URL = 'http://web2.clarkson.edu/projects/airlab/software/resuspension_gui/index.... |
function [cost, grad] = softmaxCost(theta, numClasses, inputSize, lambda, data, labels)
% numClasses - the number of classes
% inputSize - the size N of the input vector
% lambda - weight decay parameter
% data - the N x M input matrix, where each column data(:, i) corresponds to
% a single test set
% labels -... |
function presence = thresholdPattern(field, density)
% This function takes an input map of values and converts them to a
% presence/absence configuration according to the requested density. The
% noise pattern is assumed to vary over [0,1], so these are the starting
% limits for the bisection method. A hard limit... |
% msi3d_dce_cpd
% Generates evenly distributed, interpolated binary images between two
% input binary images. This approach is inspired by the morphological
% skeleton interpolation (MSI) algorithm of Chatzis and Pitas [1].
% Depending on the mode specified, the input images are simplified by
% reducing ... |
function setSharedAccessStartTime(obj, sharedAccessStartTime)
% SETSHAREDACCESSSTARTTIME Sets start time for shared access signatures
% The input time should be of type datetime and should be in the UTC time zone.
%
% % create a policy and set the time to the current time
% myPolicy = azure.storage.blob.SharedAcc... |
function img_lab = color_rgb2lab( img_rgb )
[h,w,c] = size( img_rgb );
r = img_rgb(:,:,1);
g = img_rgb(:,:,2);
b = img_rgb(:,:,3);
q = [0.3811, 0.5783, 0.0402; 0.1967, 0.7244, 0.0782; 0.0241, 0.1288, 0.8444];
% TODO: RGB to LMS
l = q(1) * r + q(4) * g + q(7) * b;
m = q(2) ... |
% subplt8.m ----------------------------------------------------------
%
% - This script shows a slight expansion of the ideas found in subplt.m
% by increasing the number of axes from 3 to 8. Also the axes are
% arranged in two columns which allows the use of two different x axes
% (one for each column).
% - Note that... |
function [raschModel] = raschModel(betaN, deltaI)
N = length(betaN);
I = length(deltaI);
raschModel = 1./(1+exp(ones(N,1)*deltaI-betaN*ones(1,I)));
end |
function price = calcHigh ( speedAboveLimit )
if (speedAboveLimit > 0)
if (speedAboveLimit < 16)
price = 2600;
elseif (speedAboveLimit < 25)
price = 4900;
elseif (speedAboveLimit < 35)
price = 7800;
elseif (speedAboveLimit >= 36)
price = 9000;
end
else
price =... |
function dirsoundok = EDB2directsound(eddatafile,S,R,visplanesfroms,visplanesfromr)
% EDB2directsound - Checks if the direct sound is valid.
% Checks if the direct sound path from a number of source
% points to a number of receiver points are obstructed by any planes.
%
% Input parameters:
% eddatafile The name ... |
function [smap,scanpath,smaps] = saliency_model(model_name,input_image_path)
disp(input_image_path);
%read image
input_image = imread(input_image_path);
%set output size parameters
[M, N, C] = size(input_image);
% get saliency map:
switch nargout(model_name)
case 1
[smap] = feval(model_name, input_image, input_... |
function [ newnet ] = concat( net,varargin )
%HORZCAT
layer = struct('wij',net.wij,...
'bi',net.bi,...
'activation',net.activation_fcn);
nVarargs = length(varargin);
for k = 1:nVarargs
layer = [layer,struct('wij',varargin{k}.wij,...
'... |
%% Proyecto LTDS
%% Primero
% Cargamos imagen RGB
Img = imread('lena_rgb.png');
% Creamos tres variables cada una con un color R, G y B
ImgR = Img(:,:,1);
ImgG = Img(:,:,2);
ImgB = Img(:,:,3);
% Guardamos tamaño y número planos de colores
[m n p] = size(Img);
% Mostramos las cuatro imagenes
imshow(Img);
pause
imsho... |
clc;
clear all;
close all;
P =importdata('movedg1.dat');
w= "P:\sem8\project 3d mapping\im\im_";
w1= "P:\sem8\project 3d mapping\imrgb\irgb_";
image=[];
rgb=[];
for j = 1:20:798
load(sprintf('%s%d',w1,j));
load(sprintf('%s%d',w,j));
im = zeros(size(i,1),size(i,2),3);
if (j>=2)... |
syms theta d y a alpha
[cos(theta) -sin(theta) 0 0; sin(theta) cos(theta) 0 0;0 0 1 0; 0 0 0 1]...
*[1 0 0 0; 0 1 0 0; 0 0 1 d; 0 0 0 1]...
*[1 0 0 0; 0 1 0 y; 0 0 1 0; 0 0 0 1]...
*[1 0 0 a; 0 1 0 0; 0 0 1 0; 0 0 0 1]...
* [1 0 0 0; 0 cos(alpha) -sin(alpha) 0; 0 sin(alpha) cos(alpha) 0 ; 0 0 0 1]
% [... |
function [cbc_unstack,cbc_flag_unstack]=ReorganizeCBCData( cbc)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
%% recode loinc and flag : so when unstack the labels for the lab are clear
[sql_loinc,code_cbc]= GiveListLoincCBC;
cbc.loinc_l=cbc.loinc;
for l=1:length(code_cbc)
cbc.lo... |
%% Name - Sheel Nidhan
% Date - 15 December, 2019
% Code for plotting the centerline statistical quantities from re5e4 frinf
% data
clear;
addpath('./aux_plots/');
dirout = './';
%% Figure 1 - Plotting the defect velocity and wake width based on that as a function of x/D
close all;
figure;
x0=0;
y0=... |
clc;
clear all;
close all;
rand('seed', 1e6)
randn('seed', 1e6)
%% Data Preparation
load NewsvendorData_Label;
[~,train_]=size(Dtrain);
%% Compulsory Parameters
n_hid1 = 10; %First hidden layer
n_hid2 = 100; %Second hidden layer
D = size(XtrainB, 1);%Number of input features
[~, O] = size(unique(Ltrain));
%% Junbin'... |
%% Machine Learning, Stanford University
% Insert all learning and examples here.
|
function [coefs approx] = noteDct(x, Ndct, sr)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% [coefs approx] = noteDct(x, Ndct, sr)
%
% Description: Compute the DCT of a signal and approximate it with the
% first Ndct coefficients x is the signal Ndct is the number
... |
function S_ = MBMP_STAP2(Y,A,D,e,Z)
%% Inputs
% Y - Measurement vector
% A - Dictionary matrix
% D - Branch vector
% e - threshold parameter
% Z - Secondary data
%% Outputs
% S_ - Set of targets
%% Initialization
[N,L] = size(Z);
% R = Z*Z'/L;
R = sqrtm(Z);
Y = R*Y;
A = R*A;
D = [D ones(1,size(A,2)-length(D))];... |
%Terminou um runAll, limpou:
%http://www.mathworks.com/help/matlab/ref/restoredefaultpath.html
%Faz uma pasta com mkdir, bota as imagens e sai dela com ajuda do cd.
%https://www.mathworks.com/help/matlab/ref/mkdir.html
%https://www.mathworks.com/help/matlab/ref/cd.html
%Manda todas as imagens lááá para dentro do LaTeX:... |
% %Leemos nuestra imagen DICOM
% img=dicomread('brain_014.dcm');
% %Le damos un formato doble a nuestra imagen con im2double y luego le
% %damos un ajuste
% imgp1=im2double(img);
% imgp1=imadjust(imgp1);
% %Multiplicamos pixel por pixel nuestra matriz
% imgp1=imgp1.*255;
% imgp1... |
clear all
clc
stepLength = 0.0001;
threshold = 10^-6;
mu = [1 10 100 1000]';
startingPoints = [1 2];
for i =1:length(mu)
xMinimum(i,:) = RunGradientDescent(startingPoints,mu(i),stepLength,threshold) ;
end
x1 = xMinimum(:,1);
x2 = xMinimum(:,2);
tab = table(mu,x1,x2)
|
function WriteOutFSResultImages(Locations,Values,OutFile)
%BasePath = '/share/users/js2746_Jason/Studies/ModMedCogRes/Model58_XAgeGroup_MFreeSurfer_YFluid_WCogRes_VCogRes_COVnGMV_Sex_StudyID_Nboot5000_18-Mar-2013_11-11';
%P = fullfile(ResultsFolder,'BrainToParameters_JASON.nii');
if ismac
BasePath = '/Users/jason/... |
clear all;
close all;
a=0:10;
b=sin(a);
subplot(2,1,1);
plot(a,b);
xlabel('a'); ylabel('y=sin(a)'); grid;
title('sin(a), entre a=0:10');
a=0:0.1:10;
b=sin(a);
subplot(2,1,2);
plot(a,b);
xlabel('a'); ylabel('y=sin(a)'); grid;
title('sin(a), entre a=0:1:0.1:10'); |
clc
clear all
close all
delete(instrfindall)
s=serial('COM4'); // the same port number with Arduino
set(s,'BaudRate', 115200); // BaudRate shall be the same with Arduino
fopen(s);
figure(1)
subplot 311
title('yaw')
subplot 312
title('pitch')
subplt 313
title('roll')
Yaw(1) = str2double(fscanf(s));
Pitch(1) = str2do... |
clear
clc
close all
m1 = 1;
m2 = 1;
L1 = 1;
L2 = 1;
delta_t = 0.001;
final_time = 10
t = 0:delta_t:final_time;
t = t';
t_plot = 0:0.001:9.998;
t_plot = t_plot';
sizes = size(t);
y = 0.3*sin(5*t) + 0.4*ones(sizes(1),1);
x = 0.3*cos(5*t) + 0.2*ones(sizes(1),1);
cos_theta2 = (x.^2 + y.^2 - L1^2*ones(sizes(1),1) - L2^... |
function [xs,ys,info] = sedumi2csdp(As,bs,cs,K,opts)
% function [x,y,info] = sedumi2csdp(A,b,c,K,opts);
%
% DESCRIPTION
% This function solves a cone optimization specified in Sedumi format
% using the CSDP solver. The function converts the inputs from
% Sedumi format to CSDP format, solves the problem with CSD... |
mergeh5_chunks('2019-08-08', 6500) ;
|
import sqc.op.logical.*
%%
%% Fig 1.1
% let the first 3 bits be data bits, the last 2 bits be measure bits:
% '|measure_bit_1,measure_bit_2,databit_3,databit_2,databit_1>'
% disp('|measure_bit_2, measure_bit_1, databit_3, databit_2, databit_1>');
InputS = QState('|00000>+|00111>');
% InputS = QState('|00001>+|00110>');... |
function updatePlotFcn(h,data)
%UPDATEPLOTFCN is an example function for updating a line plot
% Copyright 2015 The MathWorks, Inc.
% update x axis
x = datenum(data.lastUpdate);
h(1).XData(end+1) = x;
h(2).XData(end+1) = x;
h(3).XData(end+1) = x;
% update y axis
h(1).YData(end+1) = data.crzy_bid;
h(2).YData(end+1) = ... |
% pltvar.m -------------------------------------------------
% To demonstrate the workspace plotter, this script creates several vectors
% in the workspace (including a structure containing two vector fields) and
% then starts the workspace plotter by calling plt with no arguments.
% ----- Author: ----- Paul Mennen
% ... |
run('/Users/kasiunia/Documents/Diplomarbeit/DA_Matlab/JointSpaceControl/load_recorded_data.m')
run('/Users/kasiunia/Documents/Diplomarbeit/DA_Matlab/JointSpaceControl/Initialization.m')
%% Defining constants
global d_1, d_1 = 0.0892; % [m]
global a_2, a_2 = -0.425; % [m]
global a_3, a_3 = -0.39243; % [m]
global... |
%% Build link capacity
function [ token_matrix ] = build_tokens(conn, wdm_order, c_lrpon, small_br)
token_matrix = zeros(size(conn,1),size(conn,1),wdm_order);
for i = 1:wdm_order
token_matrix(:,:,i) = c_lrpon./small_br.*conn;
end
end
|
function [ spos, s ] = LsqFitStressCalc( upos, ucalc, E, nu, spacing, winsize )
%LSQFITSTRESSCALC directly calculates local LSQ fitted displacement field
% gradients to obtain material strains which are then used
% to compute stresses. Based on code by Tobias Schoch.
%Input:
% <upos> ... |
function write_tif_raw(img,name)
%%
img=single(img);
t = Tiff(name,'w');
tags.ImageLength = size(img,1);
tags.ImageWidth = size(img,2);
tags.Photometric = Tiff.Photometric.MinIsBlack;
tags.BitsPerSample = 32;
tags.SampleFormat = Tiff.SampleFormat.IEEEFP;
tags.RowsPerStrip = 16;
tags.PlanarConfiguration = Tif... |
classdef TPA_MultiPatchTracking
%TPA_MultiPatchTracking - implements image tracking techniques
% using multiple patches
%-----------------------------
% Ver Date Who Descr
%-----------------------------
% 06.01 28.11.17 UD Adopted to TPA
% 05.08 20.11.17 UD Connection between patche... |
function [x_hat_min, Sigma_min] = KF_propagate(x_hat_plus, Sigma_plus, u, sigma_u, dt)
x_hat_min = x_hat_plus + u * dt;
Sigma_min = Sigma_plus + sigma_u^2;
end
|
function [ax, C, R] = GetConicParameters(Ch)
s=size(Ch,1);
if Ch(3,3)>0
Ch = Ch/-Ch(3,3);
end
C = -Ch(1:s-1,s);
T = [eye(s-1),-C];
T = [T; [zeros(1,s-1) 1];];
Chcenter = T*Ch*T';
Chcenter = 0.5*(Chcenter+Chcenter');
[ V, D ] = eig(Chcenter(1:s-1,1:s-1));
ax = sqrt(abs(diag(D)));
R = V;
end |
function [k, b] = get_line(x1, y1, x2, y2)
k = [y2 - y1, -(x2 - x1)];
b = y2 * (x2 - x1) - x2 * (y2 - y1);
end
|
% this routine is to realize the contour for the MCMC simulation result
% It uses the former simulation result sampling.mat
% also, it use a code from http://www.mathworks.com/matlabcentral/fileexchange/1487
%
% Yiming Hu, Oct, 2012
load sampleing;
mYX = [chain(:,1),chain(:,2)];
vXEdge = linspace(0,4,400);
vYEdge = l... |
function periodHours = getPeriodHours(system_info)
days = diff(system_info.settings.year_divisions_days);
days = [system_info.settings.year_divisions_days(1); days];
DayHours = system_info.settings.day_divisions_hours(:,2)-system_info.settings.day_divisions_hours(:,1);
NightHours = 24 - DayHou... |
function net=load_network(opts)
net=load(fullfile(opts.modelDir,opts.modelName));
net=net.net;
net.layers{end}.type='softmax';
|
function name = getBlockNameFromHandle(hBlock)
% Convert block handle to block name
%
% name = getBlockNameFromHandle(hBlock)
%
% Given a block handle (e.g. as returned by gcbh), determine the name of the block
% (e.g. as returned by gcb)
name = getfullname(hBlock);
% correct odd issue with newlines appearing ... |
function[a] = q4(p,n)
n = input(prompt);
a = zeros(n,n);
ele1 = p;
ele2 = (1-p)/((n^2)-1);
a(:,:) = ele2;
a(1,1) = p;
a;
end
|
function fig = genJumpPlot(experiment, plotTitle, plotFiltered)
% VARIABLES
% experiment: An experiment data structure as generated from
% getExperimentData().
% plotTitle: Optional argument for the title of the plot generated.
% Defaults to 'Filtered RSSI vs Time'.
% ... |
%% 3D Finite Element Cubic Interpolation (Residual Approach / TE16)
%
% Author: Gustavo Charles P. de Oliveira
% Date: November, 2010
% Updated: October, 2013
%
% Description: Code to develop a cubic interpolation for finite
% element on 3D-space. Basically, we fit an arbitrary function over pattern
% element ... |
function myGammaPosition = GammaPosition(aBot,aStrikeVec)
myTrades=aBot.ownTrades;
myStockTrades=find(strcmp(myTrades.ISIN,'ING'));
myStockVolumes=zeros(length(myStockTrades),1);
for i=2:length(myStockTrades),
myStockVolumes(i)=myTrades.volume(myStockTrades(i))*myTrades.side(myStockTrades(i));
end
myStockPositio... |
function [FeatureVector] = momentsALI(im)
%im=imread(filename);
im=double(im);
s=strel('disk',1,0);%Structuring element
F=imerode(im,s);%Erode the image by structuring element
Bound=im;%-F;
[rows,cols] = size(im);
x = ones(rows,1)*[1:cols]; % Matrix with each pixel set to its x coordinate
y ... |
function [biny,sep]=en_zone_sub_new(r,kcr,biny)
p1=1-1/4-1/16+1/64; p2=1-1/4+1/16;
if kcr<160 %kcr criterion needs to be checked further
nsep=2; p=[p1 p2];
biny=[biny SFcode(1,5)];
elseif kcr<450
nsep=3; p=[p1 p1 p2];
biny=[biny SFcode(2,5)];
elseif kcr<3600
nsep=4; p=[p1 p1 p1 p2];
biny=[biny SFcod... |
filefolder = 'C:\Users\praveen\Desktop\imgp\8\Input Images\';
imagefiles = dir(fullfile(filefolder,'*.*'));
nfiles = length(imagefiles);
for i=[3]
filename = imagefiles(i).name;
fullfilename = fullfile(filefolder,filename);
im2 = imread(fullfilename);
im = im2double(rgb2gray(im2));
[rows,co... |
% SPHSP Spherical Sample Points
% maps a set of point evenly space in elev and angle to another
% set of point which is evenly space in distance along the sphere.
el_start = -pi/2; el_end = pi/2;
el_incr = pi/30
az_start = 0; az_end = pi;
az_incr = pi/30;
% generate a set of points evenly spaced in radians... |
% generate ellipse
a = [ 1; 2; 3; 4];
f = fopen('plane.txt', 'w');
for y = 0:4
%y += (1 * rand(1, n) - 0.5) / 10;
for x = 0:4
%x += (1 * rand(1, n) - 0.5) / 10;
z = (a(1) * y + a(2) * x + a(4)) / a(3); % (1 * rand(1, n) - 0.5) / 10;
fprintf(f, '%.2f,%.2f,%.2f\n', x, y, z);
end
end
fclose(f);
|
% load data for train
data_path = '../data/data_without_events.txt';
raw_data = load(data_path);
raw_data = raw_data(1:10000,:);
normal_dataset = create_normal_dataset(raw_data);
save('normal_dataset.mat','normal_dataset');
|
%% generate_parents.m
% according to the cumulative probability arrays, pick a desired number of
% parent pairings
% m x 2 array of parent pairings
% Round num_parents up to closest even num
% # parents proportional to pop'n size (1 = same as pop'n size, will
% produce half as many children)
function parent_mat = gen... |
% Weaver Image Reject Filter
clc;clear all;
costheta = 0:.01:1; theta = acos(costheta);%rad
figure;title('IRR (dB) vs Theta (rad)');
xlabel('Theta'); ylabel('Image Rejection Ratio');
hold on;
%case1----> epsilon = 0
IRR1 = IRR_fun(0.00,costheta);plot(theta,IRR1,'*m');
%case2----> epsilon = 0.25
IRR2 = IRR_fu... |
function G = kronMatrix( varargin )
%
% G = kronMatrix( varargin )
%
% Constructor for the kronMatrix class. This class is used to
% represent objects of the form:
% \sum [A{i} (x) B{i}]
%
% Object's fields are:
% G.a = cell array containing A{i} if i>1.
% G.b = cell array containing B{i} if i>1. ... |
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