text stringlengths 8 6.12M |
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clear
% close all;
% % DESK
addpath(genpath('C:\Users\bastien\Documents\internship\biosig4octmat-3.1.0\biosig\t200_FileAccess'))
addpath(genpath('C:\Users\bastien\Documents\internship\Miw'))
processFolder= 'C:\Users\bastien\Documents\internship\Miw\gtec16';
outputPath = 'C:\Users\bastien\Documents\internship\data_ONLI... |
% multi box show track boxes
vid_i = 1;
chunk_name = '00001_00343';
box_i = 1;
seq_name = sprintf('self%05d',vid_i);
imDir = sprintf('/home/is/Occlusion Video Data/self shot/%s', seq_name);
imageList = dir(fullfile(imDir, '*.jpg'));
imFiles = {imageList.name};
clear imageList;
%% for only one box given by box_i
% tr... |
function [answer] = eigenvectors(A)
for j=1:size(A,3)
for i=1:10000
if i==10000
error('Matrix A has been squared 10000 times, and has not converged')
end
if i==1
A(:,:,j) = A(:,:,j)^2;
B(:,:,j) = sum(A(:,:,j)');
C(:,:,j) = sum(B(:,:,j));
E(:,:,i,j) = B(:,:,j)/C(:,:,j);
... |
function easyBarIndivError(M,E,varargin)
%% IMPORTANT: they changed properties of bar graphs at around Matlab R2017
%% So this could fail in older versions of matlab (runs fine in 2019b)
% Plot bar graphs with individual data points, with error bras around each
% data point.
if iscell(M)
Mnew = nan(max(cellfun(@l... |
function [ hfig ] = plot_optprice_r( pricer , r )
%PLOT_OPTPRICE_R 画期权价格对R的图
% ----------------------------------
% 沈杰，20160124
% 吴云峰，20160129，增加了obj.sigma长度大于1的情况
% 吴云峰，20160129，增加了不改变原有值的方法
% 吴云峰，20160301，使用Copy的结果进行作图
%% 预处理
% TODO：检查各个变量是否都有值
% 将旧的变量进行保存
copy = pricer.getCopy();
%% 画图，画px~r的图
if ~exist( 'r' ,... |
function [Uaccept, Yaccept, LSF, Yexeval, mcmcopts] = uq_subsetsim_accept(mcmcopts, U, Y, Uprop)
% [X, Y] = UQ_SUBSETSIM_ACCEPT(MCMCOPTS, X, Y, XPROP) defines the
% acceptance criterion in subset simulation and applies it to the
% candidate samples Xprop
%% ALGORITHM
% basic checks
a = size(U);
b = size(Up... |
clear
noise = load('../matnoise/raytomo.mat');
xnode = noise.xnode;
ynode = noise.ynode;
selectperiods = 3
ip=selectperiods;
tomo(1).phV = noise.raytomo(ip).GV;
tomo(1).period = noise.raytomo(ip).period;
tomo(1).avgphV = nanmean(tomo(1).phV(:));
tomo(1).noise = true;
selectperiods = 1
eqdata = load('data/eikonal_sta... |
% Filename : trailingCharacterUpper.m
% Date : 31.01.2017
% Author : Manuel C. Kohl
function output = trailingCharacterUpper(input)
output = input;
output(1) = upper(output(1));
end
|
function [this, outp, V, Delta, Pe, SCov] = filter(varargin)
% filter Kalman smoother and estimator of out-of-likelihood parameters.
%
%
% Syntax
% =======
%
% Input arguments marked with a `~` sign may be omitted.
%
% [M, Outp, V, Delta, PE, SCov] = filter(M, Inp, Range, ~J, ...)
%
%
% Input arguments
% =========... |
% Computes homogenized matrix by minimizing variational term in unit cell.
% Functions are discretized via finite differences; the hole in the unit
% cell is defined by the function chi.m
% Input:
% * r = radius of hole,
% * N = number of grid points,
% * xi = 2-vector that determines homogenized matrix,
% * plotti... |
clear all;
syms a c er ep x y ;
c=100;
ep= 1: 1: 100;
er= ep:1:100;
[x,y]= meshgrid(er, ep);
for ep= 1:100
for er=ep:100
temp1=simplify (x+ep)^3 - c*(x+ep)/4 + c*ep/4;
temp=solve ('temp1=0','x' );
temp=temp(imag(temp)==0);
if er >= ((c/32)^(1/2)) && ep >= ((c/32)^(1/2))... |
function [ bitStream ] = LDPC_decoder_hard_lite( bitStream_enc, H )
%LDPC_decoder_lite Lite version of the LDPC hard decoder.
% The hard version for the LDPC decoder.
[M_H,N_H] = size(H);
bitStream_enc_blocks = reshape(bitStream_enc,N_H,numel(bitStream_enc)/N_H)'; % Reshape bitstream back to blocks... |
function test_plot(X,Y)
figure ; hold on;
ln = size(X,1);
for i=1:ln,
if Y(i,1) == 0,
plot(X(i,1), X(i,2),'ko');
elseif Y(i,1) == 1,
plot(X(i,1), X(i,2), 'b+');
end
end
hold off;
end |
% script for figure 2
if ispresent('fig2data.mat','file')
load fig2data
else
load jonscellsdata
% set some constants
ncells = 36;
totalFrames = 27550;
nocolor = 1;
% column numbers
cellC = 1;
nframesC = 2;
fanoC = 3;
mscC = 4;
varC = 5;
trestd10C = 6;
trestd5C = 7;
trestd3C = 8;
trestd2C = 9;
tresco... |
%parameters to fill up
dz=6;
z1=16;
[FileName,PathName] = uigetfile('*.nii','Select the Nifti file','/home/sophie/Desktop/');
file=strcat(PathName,FileName)
D=MRIread(file);
Data=D.vol;
S=size(Data);
Z0=1:size(Data,3);
Zinit=((Z0-z1)*dz+dz/2);
z_psf=abs(Zinit)*0.239+5.46;
% Average the stack layers when the sampli... |
%IGAMM Gamma correction
%
% OUT = IGAMM(IM, GAMMA) is a gamma corrected version of the image IM. All
% pixels are raised to the power GAMMA. Gamma encoding can be performed with
% GAMMA > 1 and decoding with GAMMA < 1.
%
% OUT = IGAMM(IM, 'sRGB') is a gamma decoded version of IM using the sRGB
% decoding function ... |
function out = nma_ls(A, B0, opt)
%
% NNMA_LS : Lee&Seung's least squares NMF algorithm.
% function out = nma_ls(A, B0, opt)
%
% On output,
% out.B and out.C are non-negative factors, out.obj is objective value
%
% On input,
% A is the target matrix
% B0 is the initial B.
%
% OPTIONS -- This structure contains impor... |
function [Uddx2]=ddx2(U,dx)
% computes the second partial derivative of the variable U wrt x
% x is the first index of the array
% dx is constant, uniform grid
% for 2D
% using higher order central difference formula
% need to improve on the x boundary
Uddx2=U; %to copy the array size
Uddx2(3:end-2,:)=(-U... |
%Clear everything
close all
clear
clc
% Setup the arduino
a = arduino('COM11', 'Uno', 'Libraries', 'Adafruit/NeoPixel');
%Declare and setup the lights
%We use the RGB lights, not the GRB lights, and the strip is 24 LED lights
%long.
lights = addon(a, 'Adafruit/NeoPixel', 'D6', 24, 'NeoPixelType', 'RGB');
%Set the de... |
function [ OUTPUT,NN ] = GroupPM( INPUT ,PATCH_W)
% Calculate the NN field by PatchMatch
%test github
if(nargin~=2)
PATCH_W=7;
end
addpath('../patchmatch-2.1/');
T=size(INPUT,3);
NN=zeros(T,T-1,size(INPUT,1),size(INPUT,2),PATCH_W*PATCH_W,2);
OUTPUT=zeros([size(INPUT),T]);
for i=1:T
OUTPUT(:,:,i,1)=INPUT(:,:,i... |
%% Set up constants
END_COLOR = 2; %Green: 3, Blue: 2, Red: 5%
COLOR_PORT = 3;
ULTRASONIC_PORT = 2;
TOUCH_PORT = 1;
SPEED = 60;
%% Set up sensors
brick.SetColorMode(COLOR_PORT, 2); %Maybe change to Color RGB: 4 instead of Color Code: 2 to get more accurate reading
%% Just get going
DriveForward;
%% Keep going until ... |
function d = sqDistance(p,q,pSOS,qSOS)
% Compute the squared Euclidean distances between every d-dimensional point in p to
% every d-dimensional point in q. Both p and q are npoints-by-ndimensions.
% d(i,j) = sum((p(i,:)-q(i,:)).^2)
%
% pSOS = sum(p.^2,2) and is calculated if not specified
% qSOS = sum(q.^2,2) an... |
clear;close all;clc;
img = imread('Project4_Defect.jpg');
imc = imcrop (img,[16,18,size(img,2)-35,size(img,1)-35]);
gray = rgb2gray(imc);
thresh = mean(img(:));
thresh_img = (gray>thresh);
filter1= fspecial('average',10);
filtered = imfilter(thresh_img,filter1);
sobeled = edge(filtered,'prewitt');
... |
%{
#
-> olf.RespiRaw
-> olf.RespiOpt
---
peaks : mediumblob # frames per second of the recording
troughs : mediumblob # frames per second of the recording
peak_times : mediumblob # total frames recorded
trough_times : mediumblob ... |
function StiffMatrix = matAssembleConservativeGlobalSparseStiffMatrix(obj, fphys)
%> @brief Function to assemble the global stiff matrix
%> @details
%> Function to assemble the global sparse stiff matrix
%> @param[in] UpdatedPNPX The first order derivative of Nonhydrostatic pressure with regard to x
%> @param[in] Updat... |
% % EXERCISE: DSP lab 12
% % Record Your Voice at home while turn any motor of your house ON.
% % Design a filter using FDA Tool.
% % Remove sound of motor from recorded signal.
% % Listen the output signal.
% close all;
% clear;
% clc;
% % file names
% originalSignalFilename = "bm44.wav";
% filteredSignalFilename = ... |
function [ResidualSignal, FaultySamples, FaultyDetector] = NSA_DetectionPhase(Sample_Data, Detector_Center, Detector_Radius, Self_Radius)
% This function works in accordance with 'Vdetector_NDim.m'
% This function implements the Detection (Monitoring) Phase of the Negative Selection
% Algorithm.
format long
epsilon... |
function LoadFullFish(hfig,i_fish,isFullData,hdf5_dir,mat_dir)
M_fish_set = getappdata(hfig,'M_fish_set');
fishset = M_fish_set(i_fish);
setappdata(hfig,'fishset',fishset);
%% load data from file
disp(['loading fish ' num2str(i_fish) '...']);
loadStart = tic;
isLoadTS = 1;
if ~exist('hdf5_dir','var') || ~exist('mat_di... |
function [ Ysamp_regular , Ysamp_ACS , acceleration_factor_y ] = check_options_for_parallel_imaging( ex )
%UNTITLED7 Summary of this function goes here
% Detailed explanation goes here
%% get some info with readable name
[ nX, nY, nZ ] = get_dimensions( ex );
[ nX_acq, nY_acq, nZ_acq ] = get_dimensions_acq( ex );... |
function routeByBroadcastMessageReceived(address, message)
global MAG_TRACKING
nodeID = getLocation(message.get_originAddress)+1;
if length(nodeID)<2
disp('GOT A BAD PACKET')
message
else
MAG_TRACKING.magReadings(nodeID(1), nodeID(2))=message.get_mag;
MAG_TRACKING.magTimes(nodeID(1), nodeID(2)) = cputime;
... |
% %Software to make an LED on the Arduino board blink
%{
Creating a MatLab Arduino control GUI, following now Nick did it.
Uses the figure options instead of uifigure.
Version 2d introduces an interrupt in the form of a Hi/Lo voltage on a
specific pin.
%}
function arduinoBlink
%% Initializing the Arduino ob... |
function output = stability(varargin)
output = feval(varargin{:});
function output = init
global rsc
output = -1;
tablename = rsc.tablename;
type_filter = statistic('type_filter');
orig_bytes = statistic('byte_offset', 'realSource');
parent_changes_bytes = statistic('byte_offset', 'parentChange');
%% first... |
function callbackImportButton(obj, handles, eventdata)
% CALLBACKIMPORTBUTTON
%
% DESCRIPTION:
%
%
% SYNTAX:
%
%
% INPUTS:
%
%
% OUTPUTS:
%
%
% COMMENTS:
%
%
%@
% Copyright 2016 The Johns Hopkins University Applied Physics Laboratory
%
% Permission is hereby granted, free of charge, to any person obtaining a c... |
function x = parabolic_dist(N,sig);
% x = parabolic_dist(N,sig);
%
% Function to generate a very smooth parabolic distribution:
%
% f(x) = 3/4/sqrt(5)/sig*(1-1/5*(x/sig).^2), -sqrt(5)*sig < x < sqrt(5)*sig
%
% INPUTS: N: Number of particles
% sig: The standard deviation around the mean (rms)
% OUTPUT... |
function [res, filename] = Analyze(fun, varnames, cached, path2data, debug, poolcores, varargin)
% ANALYZE Executes specified fun in parallel on the whole database (all .mat files)
%
% ANALYZE(FUN, VARNAMES) FUN should a string with the name of one of
% the following sub-functions:
% ... |
%% Windows Compile CUDA
mex OpenCLMexWrapper.cpp OpenCLWrapper.cpp -I'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v5.0\include' -L'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v5.0\lib\x64' -lOpenCL -g
%% Windows Compile Intel
mex OpenCLMexWrapper.cpp OpenCLWrapper.cpp -DCL_USE_DEPRECATED_OPENCL_1_1_A... |
function slr_view_data(t, x, dim, w)
% View the distribution of data in feature space with projection of two
% dimensional plane specified by 'dim'.
%
% -- Example
% > slr_view_data(t, x)
% View features value of first two dimension of "x".
% > slr_view_data(t, x, dim)
% View features value of two dimension of "x" p... |
function xx = NMI_binData (x, numVx, ncellx)
minx=min(x);
maxx=max(x);
deltax=(maxx-minx)/(numVx);
lowerx=minx-deltax/2;
upperx=maxx+deltax/2;
xx=round( (x-lowerx)/(upperx-lowerx)*ncellx + 1/2 );
|
global MPI_COMM_WORLD;
load 'MatMPI/MPI_COMM_WORLD.mat';
MPI_COMM_WORLD.rank = 102;
Alluxio_Row_mv_version3;
|
function [ a, b, c ] = stpParabola(x1, y1, x2, y2, x3, y3)
% 计算抛物线的系数
sx1 = x1 - x2;
sx2 = x2 - x3;
sx3 = x3 - x1;
sy1 = y1 - y2;
sy2 = y2 - y3;
sy3 = y3 - y1;
temp = sx1 * sx2 * sx3;
a = (sy1 * -sx3 + sy3 * sx1) / -temp;
b = (sy1 * (x1*x1 - x3*x3) + sy3 * (x1*x1 - x2*... |
clear
close all
clc
load('/Users/anweshachaudhury/Desktop/Anwesha research/Data files/Troponindata/tropdata.mat')
distinfo = xlsread('/Users/anweshachaudhury/Desktop/Anwesha research/Data files/Analyzers/ChangiCompareWBC.xlsx','CompareChangiDist');
distinfo(1,:)=[];
Safe_pat_xls = [12 13 18 22 23 29 31 33 37 40 41 54 ... |
i=imread('C:\Users\hp\Desktop\project on watermarking\database\standard_test_images\house.tif');
%i=rgb2gray(i);
i=im2double(i);
meani=mean(i);
i=i-5;
[coeff,score]=pca(i,'Algorithm','eig','Rows','Complete');
t = score*coeff'+repmat(meani,512,1) ;
imshow(t);
figure;imshow(i);
figure;imshow(score);
figure;imsh... |
%This contain the extraction of data from the NYUv2 dataset from its
%original site
work = load('nyu_depth_v2_labeled.mat');
[rows, cols ,channels, num] = size(work.images);
% for i = 1:num
% temp = work.depths(:,:,i)/max(max(work.depths(:,:,i)));
% s = strcat('depth_images/',int2str(i), '_depth.jpg');
% ... |
classdef Feature
properties
Name
StrFunc
CompFeatures
Values
SymFunc
end
methods
function ff = Feature(name, str, vars, values)
ff.Name = name;
% ff.StrFunc = str;
ff.CompFeatures = vars;
eval(['syms ' cat_spaces(vars... |
function [m, var] = fixrbf1(units, dmin, dmax)
% Initialises a set of RBFs to be equidistantly positioned over the ONE
% DIMENSIONAL space with fixed sized variances.
% A correction has been made in the line below. The actual number of units
% was one more than specified by units.
dist = ((dmax - dmin)/(units - 1));
%m... |
function [the,re] = fproptdlr(the,re,BL1,BL2,ww,nl,nc,nr)
% segments
th12nc = mean(the(1:BL2,nc));
th1nl = mean(the(1:BL1,nl));
th2nlr = mean([the(BL1+1:BL2,nl) ; the(BL1+1:BL2,nr)]);
th1nr = mean(the(1:BL1,nr));
r12nc = mean(re(1:BL2,nc));
r1nl ... |
function klasse = classifyML(x, k)
lik = zeros(size(x,1),size(x,2));
for n = 1:length(k)
lik(n,:) = likelihood(x, k(n).theta);
end
klasse = lik(1,:) > lik(2,:);
end |
close all; clear; clc;
% Parameters
nb_symb = 1000;
nbps = 1; % Number of bits per symbol
constel = 'pam';
nb_bits = nb_symb*nbps;
M = 100;
f_symb = 1e6; % symbols freq
fs = M*f_symb; % sampling freq
beta = 0.3;
T_symb = 1/f_symb;
nb_taps = 20*M+1;
deltaF = [0, 2e9*1e-5, 2e9*5e-5];
t_shift = 30;
ratio_EbN0_db = 10;
... |
% CLASSIFYLSVM Classify data with linear support vector machine.
% OUT = CLASSIFLYSVM(X,MODEL) classifies the data in X (N samples-by-D
% features) by using a linear support vector machine (SVM), where
% MODEL is a structure with the SVM parameters. OUT is a structure
% with both the scores and the class labe... |
function [ zd, Q, kara ] = BFGS(zd, tau, param, rho, opts)
% algorytm BFGS z wbudowanym poszukiwaniem na kierunku
% --- Krok 1 ------------------------------------
var = obliczenia(param.h0, tau);
lzd = length(zd);
lu = (lzd - 2)/2;
urend = lu + 2;
phistart = urend + 1;
% epK = opts.epK0; % matlab twierdzi ze linia ni... |
close all; clear all; clc;
%%bramka AND
net = newp([0 1; 0 1], 1, 'hardlim'); %generowanie nowego neutronu
dane_in = [0 0 1 1;
0 1 0 1];
dane_out = [0 1 1 1]; %dane_in, dane_out - wzorce uczenia
plotpv(dane_in, dane_out) %wyświetlanie wykresu danych wejściowych i wyjściowych
net.trainParam.epochs ... |
function [level_grid,level_color,level_contour,azi_interp,...
elev_interp] = iso_ph(magn,direction_matrix,n_directions,min_level, max_level,level)
% function [level_grid,level_color,level_contour,azi_interp,...
% elev_interp] = iso_ph(magn,direction_matrix,n_directions,min_level, max_level)
%
... |
function i = phase_get(n, job, a, b)
if nargin == 2
i = ctmethods(30,n,job);
elseif nargin == 3
i = ctmethods(30,n,job,a);
else
i = ctmethods(30, n, job, a, b);
end |
%% Task 1
disp('Load Data')
load('WMP_WEnMet_data.mat');
fino1_v90 = Fino1.ws90;
fino1_d90 = Fino1.wd90;
fino2_v92 = Fino2.ws92;
fino2_d91 = Fino2.wd91;
% Plot
WindRose(fino1_d90,fino1_v90,'AngleNorth',0,'AngleEast',90,'freqlabelangle',45,'MaxFrequency',6);
saveas(gcf,'figures/WindRose_Fino1.png')
WindRose(fino2_d91,... |
clear; clc;
%% parameter setting
D = 2; % decimation factor
I = 2; % interpolation factor
L = 17; % filter length
h_LP = fir1(L-1,1/2);
%% input signal
fs = 1000; freq = 50; N = 100;
n = 0:N-1;
x = sin(2*pi*n*(freq/fs));
%% decimation and interpolation
x_D = x(1:D:end); % decimation
x_I = zeros(1... |
%finitepearson is designed to show correlation between splits, conditions AND
%SUBJECTS. Unlike pearson2 it uses every split,sub,and cond as indvl point.
function reliability=lk_finitepearson(reliability,cfg,ireg,iwndw,iTI)
reliability.pearson_finite= []; reliability.ttest =[];
PearsonAUC = reliability.ampauc(:,:,:,:... |
function [] = level4()
clear, clc;
score=0;
close all;
%static band
ang=input('Enter the angle in degrees: \n');
xdir=input('Enter the direction of launch i.e... enter 1 for right or enter -1 for left: \n');
dx=input('Enter the change in x between 0.1 and 1: \n');
hold on
x1=18:22;
y1=70;
plot(x1,y1,'bs-','markerfacec... |
% sum over the absolut difference at each vairable
function score = l1_compare(imghist1, imghist2)
vec1 = imghist1(:);
vec2 = imghist2(:);
score = sum(abs(vec1./sum(vec1) - vec2./sum(vec2)))./2;
end |
clc, clear, close all;
% clear all;
Volume3.trace_rays_compile();
DEMO_ID = 4;
switch DEMO_ID
case 1 % Different angles on 2D slice
for ang = 0.9:0.2:(pi/2)
clf;
%--- Create ray for current angle
o = [.3 .3 0];
d = [cos(ang) sin(ang) 0];
%--- I... |
fid=fopen('/Users/rushikeshsane/Documents/Thesis/datasets/j1/j1.txt');
s=textscan(fid,'%d %d');
fclose(fid);
x=s{1};
y=s{2};
array = zeros(numel(x),2);
for i=1:numel(x)
array(i,1) = x(i);
array(i,2) = y(i);
plot(array(i,1),array(i,2),'.-','color',[0,0,0]+0.5);
hold on;
end
%{Centroids File}%
... |
function A = createNetworkPresentationDataStructure(V, E)
% 创建网络表示方法数据结构
% 输入参数：
% V -- 节点集合
% E -- 分支集合（记录分支真实编号、始末节点）
% 输出参数：
% A -- 邻接表(出边和入边邻的双向邻接表)
m = length(V);
n = size(E,1);
% 构造邻接表A
A=cell(m, 2);
for u=1:m
for e=1:n
if u == E(e, 2)
A{u,1} = [A{u,1} e]; % 记录出边分支
end
... |
a=[1 5 2 9]
b=[3 3 4 10]
c=conv(a,b)
d=length(c)
x=0:d-1
stem(x,c) |
function y=lowPass(Fs,x,wcut)
n=0:1/Fs:1;
N=2^nextpow2(length(x));
m=(-N/2):(N/2)-1;
w=2*pi*m*fs/N;
thefilter=w/(2*pi)>-wcut & w/(2*pi)<wcut;
yall=(1/N)*(x.*thefilter)*exp(1i*w'*n);
y=real(yall);
%plot(w/(2*pi), thefilter)
%xlim([-A A])
%plot(n,y) |
%{
Comparing multiple users bandspace maps
%}
A = importdata('Data/Ziyu_020817.txt',' ',0);
B = importdata('Data/Zheng_020317_47E2.txt',' ',0);
C = importdata('Data/Yanan_020517.txt',' ',0);
D = importdata('Data/Qinyao_020517.txt',' ',0);
E = importdata('Data/Mercedes_020817_5EAE.txt',' ',0);
i0= 6000
i1=9000;
A = A... |
function result = ellipse_lsq(parms, xdata, ydata)
x0 = parms(1);
y0 = parms(2);
a = parms(3);
b = parms(4);
doFig=1;
if nargin > 2
% if we are fitting the data with an ellipse, we use the
% x coordinates provided by the users
ydata = reshape(ydata,length(ydata),1);
xdata = reshape(xdata, length(xdata),1);
... |
function [e11,e12,e13,e21,e22,e23,e31,e32,e33]= esZB(etax,etay,etaz)
eta=sqrt(etax.^2+etay.^2+etaz.^2);
load XQD.mat;
[aM,C11,C12,C44] =MaterialParameters('AlN','ZB');
[aQD,C11,C12,C44]=MaterialParameters('GaN','ZB');
ea=(aM-aQD)/aQD;
Can=C11-C12-2*C44;
xx=(etax.^2)./(eta.^2);
yy=(etay.^2)./(eta.^2);
... |
start_vy_series = {[0, 0.2, 0.4, 0.6, 0.8]
[0, -0.2, -0.4, -0.6, -0.8]
0
0};
% start_vy = [0, -0.2, -0.4, -0.6, -0.8];
target_vy = [0.0];
start_vx_series = {0
0
[0,0.1,0.2,0.3,0.4]
[0,-0.1,-0.2,-0.3,-0.4]};
target_vx = [0.0];
T = 0.4;
subfolder_name = 'library5';
if ~exist(fullfile('local', subf... |
%EAN13 Barcode Reader
clear all
close all
clc
%% Recuperation de l'image
addpath(genpath('barcode images'));
[im,map]=imread('BA.png');
size(im);
size(map);
barcode=retourne(im);
figure, imshow(barcode);
%% Redimensionnement imcrop(image,[Xmin Ymin Width Height])
nbLignes = size(im,1);
nbColonnes = size(im,2);
barcod... |
% make_multixwav.m
%
% script to run write_hrp2xwavs over many hrp files to make xwavs
cflag = 0;
% which files to process?
hrp_dir = uigetdir(pwd, 'Select HRP file directory');
files = cellstr(ls(horzcat(hrp_dir, '\*hrp')));
if hrp_dir == 0 % if cancel button pushed
disp_msg('Cancel button pushed')
cflag = 1... |
function [a_lms, gamma] = recover_vol_coeffs_from_moments_projs_trispect_4tensor...
(m4_micro, m3_micro, m2_micro, m1_micro, maxL, L, r_cut, a_init, Rots)
% Function to recover volume expansion coefficients and average fraction of
% micrograph pixels occupied by signal, from the first three
% autoco... |
function [ OP2D ] = COP2D( JPR,I,JPT,Z,RTS,ON,O2N,N2N,NE,TPROD2,OP2P,HEPLUS,N4S,NNO,PSEC )
%COP2D COP2D
%::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
% SUBROUTINE COP2D(JPR,I,JPT,Z,RTS,ON,O2N,N2N,NE,OP2D,TPROD2,OP2P
% > ,HEPLUS,N4S,NNO,PSEC)
%.......o+(2d)
% IMPLICIT REAL (A-H,L... |
%% ACC Diaganol Analysis
d = [-1 0 1];
diag1 = spdiags(predictedAvg, d);
diag1_lin = diag1(1:end-1, 1);
diag3_lin = diag1(2:end, 3);
diag_lin = [diag1(:, 2); diag1_lin; diag3_lin];
avg_diag_lin = mean(diag_lin);
block1 = 4;
block2 = 9;
block3 = 4;
test = diag1(1:4,:);
test = nonzeros(test);
test_mean... |
clear;
flag_save = 1;
%% parameter setting
Lp = 6; %多径数
D_MS = 4.7; %假设x、y维度相同
D_BS = 4.7; %假设x、y维度相同
ele_max_MS = pi;
azi_max_MS = pi;
ele_max_BS = pi;
azi_max_BS = pi;
N_MS = MY_number_of_antennas_FDLens(D_MS, ele_max_MS, azi_max_MS); %49
N_BS = MY_number_of_antennas_FDLens(D_BS, ele_max_BS, azi_max_BS); %81
N_RF... |
%% Stelling 5
%
% Bij het maken van een eigen functie kan je doorgaans
% zelf kiezen hoe je de output variabelen noemt.
%
Antwoord = 1;
|
%% Automatisierter Optimierer
% Christopher Sauer, 2014
%% RapidMiner
rapidminered = input('RM Modell generiert? (j/n): ','s');
if strcmp(rapidminered, 'n')
pathToRapidminer = input('Wo befindet sich RapidMiner? ','s');
pathToProcess = input('Wo befindet sich der Prozess? ', 's');
processName = input('Wie ... |
function IWi = get_BEC_IWi(N, design_epsilon)
IWi = zeros(N,1);
IWi(1) = 1 - design_epsilon;
I_tmp = zeros(N,1);
m = 1;
while(m <= N/2)
for k = 1 : m
I_tmp(k) = IWi(k) * IWi(k);
I_tmp(k+m) = 2 * IWi(k) - IWi(k) * IWi(k);
end
IWi = I_tmp;
m = m * 2;
end
end |
function F = fuzzysysfcn(inmf, outmf, vrange, op)
% Creates a fuzzy system function F corresponding to a set of rules and
% output membership function.
% INMF is an M-by-N matrix of input membership function handles
% M is the number of rules and N is the number of fuzzy system inputs
% OUTMF is a cell array containi... |
% The program should be started after clearing the workspace and exporting
% the Test source time average file as 'xyz' and changing 'sub'
%% Given
sub = 6;
info.res_path_coh = '/home/username/research/results/perception/Coherence/';
keywd = 'Coh(120by3s)';
%% Locate and list .mat files
fmatF = dir([info.res_path_coh... |
a = imread('C:\Users\user\Desktop\MATLAB\Image_Processing\Images\xyz.jpg');
b = imread('C:\Users\user\Desktop\MATLAB\Image_Processing\Images\abc.jpg');
n = a;
disp(' ');
disp('##########################################################');
disp(' ');
[rp1 cp1 pp1] = size(a);
[rp2 cp2 pp2] = size(b);
if((rp1 + cp1 ... |
function [similarity] = gen_sift_simi(old_patchs,new_patchs)
run '/home/aya/codes/vlfeat-0.9.20/toolbox/vl_setup.m';
old_bbs_num = length(old_patchs);
bbs_num = length(new_patchs);
tmp_simi = zeros(old_bbs_num,bbs_num);
old_tmp = {};
new_tmp = {};
for si = 1:old_bbs_num
for sj = 1:bbs_num
im1 = old_patchs{s... |
%%%%%%%%%%%%%%%%%%%%%%%%%%
% read_angles_passive
% Marie Moltubakk + REB + M 25.5.2015
%
% used by passiveUS to import pre-generated angle data across subjects
% (generated in create_angles_passive)
%
%%%%%%%%%%%%%%%%%%%%%%%%%%
function read_angles_passive(file)
% global ang_subjectno
% global ang_... |
clear;
close all;
function [xk, iter] = falsePosition (a, b, tol, f)
%{
Metodo de la Falsa Posicion
@param a - limite inferior del intervalo
@param b - limite superior del intervalo
@param tol - tolerencia del algoritmo
@param f - funcion a la cual se le aplicara el algoritmo
@return xk -... |
function [] = showRoseHistogram(data)
rose(data);
end |
function obj=spikeDetection(obj)
%Detect spikes in raw data and save waveforms
%Todo:
%Add detection of multiple spikes
%determine quantization
obj.detectionInt2uV=obj.detectionMaxSpikeAmp/2^(obj.detectionNQuantizationBits-1);
obj=obj.getHighpassFilter;
%start spike detection
fprintf('\nRunning spike detection on %s... |
% UQ_LISTANALYSES return all the ANALYSIS objects available in the UQLab session
% UQ_LISTANALYSES returns a list a ANALYSIS objects that have been created by
% the uq_createAnalysis command.
%
% The ANALYSIS that is currently selected (used by default in several UQLab
% commands like <a href="matlab:help ... |
clc;
clear all;
mfld = fileparts(mfilename('fullpath'));
cd(mfld);
% add variable variate lib:
addpath([mfld filesep() 'var']);
% --- multicore setup ---
% multicore cores count
mc_setup.cores = 100;
% multicore method {'cellfun','parcellfun','multicore'}
mc_setup.method = 'multicore';
... |
function makeTuples( obj, key)
% get scan information
[lens,mag] = fetch1(Scans(key),'lens','mag');
pixelPitch = 11000/512/mag/lens;
% get data
tpr = tpReader(Scans(key));
if ~ isAligned(tpr);display('Not Aligned! Skipping...');return;end
gChan = getAlignedImagingChannel( tpr, 1 );
times = readSyncedTimestamps(tpr);
... |
function SilenceFirstCK_prs(obj, evt, stage)
hndl = get(gcf, 'Userdata');
hndl = get(hndl.mainFig, 'Userdata');
switch stage
case 1
hndl.setting.Pre.duration.SilenceFirst = get(obj, 'Value');
case 2
hndl.setting.LDur.duration.SilenceFirst = get(obj, 'Value');
case... |
function [ output_args ] = coarseToFineBasic( )
%UNTITLED9 Summary of this function goes here
% Detailed explanation goes here
% level1 = im;
% level2 = gaussian_filter(level1,1);
% level2 = imresize(level2, 0.5);
% level3 = guassian_filter(level2,1);
% level3 = imresize(level3,0.5);
% tau = 0.00035;
tau = 0.0002;... |
function p = primes(n)
%p = primes(n)
% primes(n) is a row vector of the prime numbers less than or
% equal to n.
if length(n)~=1
error('Input Not Scalar\n', 'n must be a scalar');
end
if n < 2, p = zeros(1,0,class(n)); return, end
p = 1:2:n;
q = length(p);
p(1) = 2;
for k = 3:2:sqrt(n)
if p((k+1)/2)
... |
% This function center the image with the given center.
function centered_img=centerimg_size(img,center,width, height)
% input: img is the image to be centered, center is the coordinate with
% (x,y). x is the horizontal coordinate, y is the vertical coordinate.
% width, height is the size of returned image.
n... |
% Problem8.1
dt = 1/100;
et = 4;
t = 0:dt:et;
y = square(2*pi*t);
subplot(2,1,1);plot(t,y);grid on
axis([0 et -2 2]);
xlabel('Time(s)');
ylabel('X');
[f,s] = ft(t,y);
S = abs(s);
subplot(2,1,2);
plot(f,S);grid on
xlabel('Frequency(Hz)');
ylabel('Amplitude'); |
function [ visstimdataset ] = Prepare( filepath, varargin )
%PREPARE Read and Prepare VisStim data
% Detailed explanation goes here
import NeuroAnalysis.VisStim.*
p = inputParser;
p.StructExpand = false;
addRequired(p,'filepath');
addOptional(p,'dataset',struct([]));
parse(p,filepath,varargin{:});
filepath = p.Resu... |
% Input directory
idir = '/home/imbiriba/tmp/ftp.ssec.wisc.edu/pub/ssec/davet/';
% Input file names
fnames={'SCRIS_npp_d20130510_t2029459_e2037437_b07952_c20130511023743801999_noaa_ops.h5', 'SCRIS_npp_d20130515_t2037059_e2045037_b08023_c20130516024502741669_noaa_ops.h5', 'SCRIS_npp_d20130516_t2020579_e2028557_b08037_c... |
clear;clc;close all
f=figure
f.Position = [1510 42 1050 1314]
%%
dataA=csvread('LeArm_data__servo2__R2.txt');
dataB=csvread('LeArm_data__servo2.txt');
dataL=csvread('LeArm_data__LeapMotion___R2.txt')
data=dataA;
i=1
len=6; S = data(:,i:(i-1 +len)); i=i+len;
data=data( S(:,1)==1, :);
%%
i=1
len=... |
% AISI 1144 stressproof steel
% source: https://www.onlinemetals.com/productguides/steelguide.cfm
% density (kg/m3), Poisson's ratio, Elasticity (Pa), Yield (Pa), Shear modulus (Pa), Shear strength (Pa)
8000
0.25
689E9
350E6
80E9
414E6 |
function write2pcf(File, In)
fid = fopen(File);
for i = 1:5
tline{i} = fgetl(fid);
end
fclose(fid);
fid = fopen(File,'w');
for i = 1:5
fprintf(fid,'%s\n',tline{i});
end
fprintf(fid,'0, %1.2f, 0, 0, 0\n',In);
fclose(fid);
|
% plot_finger.m
% Kevin Coltin
%
% Plots a "fingerprint" in formation, by plotting the concentrations of the
% primary morphogen A.
%
% The concentrations are plotted on a relative scale, obtained by dividing
% A / max(max(A)). This is clearly not very scientific, so we should
% consider changing it eventually.
... |
% plots a curve graph in the current axis
%
function h = mygraph2( CG, varargin )
%#ok<*UNRCH>
DEBUG_MODE = false;
if DEBUG_MODE
warning('DEBUG_MODE==true');
clc, clear, close all;
load mygraph2_demo.mat CG;
mygraph2( CG, '-b');
end
%--- compute edges on the fly
if isfield(CG,'viv')
CG.edges = gr... |
cc()
load('res/NM91_clustering')
load('res/NM91_tsne')
load('res/NM91_pulsesNorm')
centroidsPre = grpstats(pulseShapesNorm, Gpre);
centroids = grpstats(pulseShapesNorm, Gw);
centroidTSNEpre = grpstats(tSNE, Gpre);
centroidTSNE = grpstats(tSNE, Gw);
cmap = lines(max(Gpre)+2);
%%
clf
subplot(1,6,1:2)
gscatter(tSNE(:,1)... |
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