text stringlengths 8 6.12M |
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%build dB limits
lim01=[Low_Limits(1), Low_Limits(1)+Ranges(1)];
lim02=[Low_Limits(2), Low_Limits(2)+Ranges(2)];
lim03=[Low_Limits(3), Low_Limits(1)+Ranges(3)];
%Initialise popup menu to first frequency (Red)
Frequ_work=1;
depth=depth_surface(1,1:id_maxD);
Ping_index=[1:1:length(sv01(:,1))];
%call RGB_gui function
... |
function [fl] = EstimateRP_part(fl)
b_num = fl.b_num;
a_num = fl.a_num;
g_num = fl.g_num;
z_num = fl.z_num;
r_num = fl.r_num;
b_grid = fl.b_grid;
a_grid = fl.a_grid;
g_grid = fl.g_grid;
z_grid = fl.z_grid;
mu_1 = geomean(fl.mu_1);
mu_2 = geomean(fl.mu_2);
dis... |
clc
clear
close all
load 510x1020PEG.mat
H=A;
P=sparse(H);
Enc = comm.LDPCEncoder(P);
Dec = comm.LDPCDecoder(P,'MaximumIterationCount',100,'DecisionMethod','Hard decision');
KK=[-1.0801 -0.7715 -0.4629 -0.1543 0.1543 0.4629 0.7715 1.0801];
delta=0;
beta_skew=0;
zel=[-1.0801 -0.7715 -0.4... |
function nodes = steinerPolygon(points)
%STEINERPOLYGON Create a Steiner polygon from a set of vectors.
%
% NODES = steinerPolygon(VECTORS);
% Builds the (convex) polygon which contains an edge for each one of the
% vectors given by VECTORS.
%
% Example
% n = steinerPolygon([1 0;0 1;1 1]);
% drawPolygon(n);... |
clc;
clear;
close all;
video=VideoReader('xylophone.mp4');
numFrames=ceil(video.FrameRate*video.Duration);
h=axes;
str='.jpg';
for i=1:numFrames
Frame=read(video,i);
Frame=imresize(Frame,[350 320]);
filename=strcat(num2str(i),str);
imwrite(Frame,filename);
image(Frame,'parent',h);
pause(1/video.Fr... |
function out = wrapper_nuclear_l21(in,sigma)
out = nuclear_l21(in,sigma);
end |
% [bo] = make_point_bins(dx, B)
%
% Returns a binning object.
%
% Makes a series of points that will indicate bin centers. The first and
% last points will indicate sticky bins. No "bin edges" are made-- the edge
% between two bins is always implicity at the halfway point between their
% corresponding centers. The cent... |
function v=market_game(P,Q,n,slc)
% MARKET_GAME(P,Q,n) generates a producer and buyer game.
%
% Usage: v=market_game(P,Q,n)
%
% Define variables:
% output:
% v -- A Tu-Game v of length 2^n-1.
%
% input:
% P -- An integer to specify the set of producers.
% Q -- An integer to specify the set o... |
clear ; close all; clc
myPath= '/home/lord/data/';
a=dir(fullfile(myPath,'*.tif'));
fileNames={a.name};
I_flat = []
radon_flat = []
for count = 1:length(fileNames) %
fileName = strcat(myPath,fileNames(count));
img = imread(fileName{1});
img1 = imresize(img,[64,64]);
img_gray = rgb2gray(img1);
BW1 = edge(img_gra... |
function obj = enrich(obj,bCirc)
%ENRICH Enriching a parsed road
% Enrich the road with points of lanes to plot if they are within
% bCirc
% Special Cases: isempty(bCirc) --> Fullmap
%
%----------------------------------------------------------------------
% BSD 3-Clause Lice... |
function [pass,maxerr] = test(opt)
% Test a distance-domain fit of a wormchain model
t = linspace(0,5,300);
r = linspace(1,6,300);
parIn = [4 4.5];
P = dd_wormchain(r,[2.7,20]);
K = dipolarkernel(t,r);
S = K*P;
[~,Pfit] = fitparamodel(S,@dd_wormchain,r,K,'Solver','lsqnonlin');
%Pass 1: distance distribution is wel... |
clear;
clf;
x=0.001:0.01:2;
plot (x,x.^(1).*log(x));
khorcat=rot90([x.^(1).*log(x);x],-1);
kkk=fopen("figEulerCauchyA.txt","w");
fdisp(kkk,khorcat)
fclose(kkk);
khorcat=rot90([x.^(0.5).*log(x);x],-1);
kkk=fopen("figEulerCauchyB.txt","w");
fdisp(kkk,khorcat)
fclose(kkk);
khorcat=rot90([x.^(-0.5).*log(x);x],-1);
... |
clear
clf
preproc
n = 12
K = zeros(n)
K = assemble(K, EE)
K = assemble(K, R1)
K = assemble(K, R2)
K = assemble(K, R3)
K = assemble(K, TI)
det(K)
BC = [10, 0;
11, 0;
12, 0;
9, 0;]
B = zeros(n,1)
B(1) = 1000
u = solvep(K, B, BC)
amp = 100000
draw_def(EE,u, amp)
draw_def(R1,u, amp)
draw_def(R2,u... |
clear,clc
%三种方法进行分水岭分割
%读入图像
filename='Fig1021(a)(small-blobs).tif';
f=imread(filename);
Info=imfinfo(filename);
if Info.BitDepth>8
f=rgb2gray(f);
end
figure,mesh(double(f));%显示图像，类似集水盆地
%方法1：一般分水岭分割，从结果可以看出存在过分割问题
b=im2bw(f,graythresh(f));%二值化,注意应保证集水盆地的值较低（为0），否则就要对b取反
d=bwdist(b); %... |
%%Model
A = [0 0 0;
0 0 1;
0.1 -0.79 1.78];
B = [1 0 0.1]';
C = [0 0 1];
B_length = [1, 1, 2, 4, 8, 14]; %Lengths of input
%Objectives
Q = [0 0 0;
0 0 0;
0 0 2];
R = 2;
%Start condition
x0 = [0 0 1]';
%% Generate over time horizon N
N = 30;
nx = size(A,2);
mu = size(B,2);
%Bounds
x_bounds = [Inf(N... |
function recon_arc_asset_slow(pfilePath, calibrationPfile, outputDir)
if ~ exist('outputDir','var') || isempty(outputDir)
outputDir = pwd;
end
% % mac
% cd '/Users/hongfusun/DATA/p-files/oct7/raw/'
% pfilePath='/Users/hongfusun/DATA/p-files/oct7/raw/P31232.7';
% calibrationPfile='/Users... |
function y_traj = testing_trajectory(t,P)
if(t <= P.takeoff_time)
pn = 0;
pe = 0;
pd = P.height/P.takeoff_time*t; %P.height;
pn_vel = 0;
pe_vel = 0;
pd_vel = P.height/P.takeoff_time; %0;
pn_acc = 0;
pe_acc = 0;
pd_acc = 0;
psi = 0;
psi_vel = 0;
psi_acc = 0;
else
pn =... |
%
%
% File author(s): <Julian Andres Garcia Grajales>, (C) 2014
%
% Copyright: this software is licenced under the terms stipulated in the license.txt file located in its root directory
%
%
clear all;
close all;
% This is the input for this file
tree = load('neuron_cut_from_neuromorpho.swc');
% Output of this file ... |
function [result] = juntar(R, G, B)
result(:,:,1) = R;
result(:,:,2) = G;
result(:,:,3) = B;
endfunction |
function [Y] = TripleDecoder(X)
index = 0;%zlicza przejscia pierwszej petli for
Y = zeros(1,length(X)/3);%do tej tabeli wpisywany bedzie ostatecznie odkodowany ciag znakow
%petla ktora przeskakuje o 3 pola zatrzymujac sie na pierwszym bicie z
%kazdej trojki
for i=1:3:length(X)
upCounter = ... |
%% clear all the previous data and record
clear;
clc;
syms z
% input file name
[a,Fs] = audioread('sample.wav');
% or you can generate a
white=wgn(length(a),1,0);
filename = 'newwhitenoise.wav';
% audiowrite(filename,test2,Fs);
audiowrite(filename,white,Fs);
[x,Fs]=audioread('newwhitenoise.wav');
system... |
function [p4, signk3, k123, pb] = trilateration( p, l )
% trilateration(p,l) Performs trilateration between 3 points.
% TRILATERATION(P,L) Performs trilateration between 3 points P1, P2 and
% P3 to find a fourth P4 point lying in the intersection of 3 spheres
% with centers at the three mentioned point... |
function pd = read_REX_NEV(nevFile)
% function pd = read_REX_NEV(nevFile)
%
%nevFile = '/aphid2/array/bucky/bucky_v4l_20100427_004.nev';
nev = readNEV(nevFile);
include_0_255 = 0;
id0 = nev(:,1) == 0 & nev(:,2) ~= 0;
findId0 = find(id0);
nevCnd = nev(id0,:);
%cndInd = find(nevCnd(1:end-1,2) ~= 15 & nevCnd(2:end,2)... |
function [ afValues, ...
afHours ] = ...
GetSamplesInformationFromSignal( ...
tSignal, ...
iNumberOfSamplesPerDay, ...
bIsSignalPiecewiseConstant )
%
% get some useful information
iNumberOfDays = tSignal.GetNumberOfFullDays();
aiMidnightsIndexes = tSignal.FindMidnights();... |
function [id_parent, id_child, next, both_root] = find_best_nodes_to_merge( obj )
% hardcoded use of nodes_lklhd_diff and score threshold
% TODO: include as graph properties
nodes_all = obj.nodes_parent ~= 0;
% eligible are all pairs that:
% - come from different trees
% - both are real nodes
% - either two ro... |
clc;
str1='lge_';
str2='.png';
str3='mask_lge_';
new3d=[;;]; %3D myocardium volume
new_3d=[;;]; %Open myocardium
for r=0:8
temp=strcat(str1,int2str(r),str2); %input image address
temp2=strcat(str3,int2str(r),str2); %mask input address
ROI=imre... |
function [M,Rot] = GetTransformMatrix(info1, info2)
% This function calculates the 4x4 transform and 3x3 rotation matrix
% between two image coordinate system.
% M=Tipp*R*S*T0;
% Tipp:translation
% R:rotation
% S:pixel spacing
% T0:translate to center(0,0,0) if necessary
% info1: dicominfo of 1st coordinate system
% ... |
% SolvePoiseuille
clear all
close all
clc
addpath('div_free');
myFlow = MyFlowSystem();
myFlow.InitializeProblem;
myVisualize = Visualize;
myVisualize.Initialize();
myVisualize.PlotVelocity(myFlow);
for iter=0:1:151
% myFlow.ResetPressure();
if (mod(iter,25) == 1)
myVisualize.CompareVel(myFlow, (iter-... |
function [RGB ,out_bin] = imageTransformation( original_im, ...
colour_thres,color, c_thres, perf)
%Two options of thresholding
%This first one is used when the target color is not well defined or unique
if nargin < 3
%Get rgb values
r = original_im(:, :, 1);
g = original_im(:, :, 2);
b = original_... |
clear;
NNN = [10 50 100 170];
L = length(NNN);
for jjj = 1:L
%Here we will compute some general statistics for the general clique.
%Number of agents in clique
N = NNN(jjj);
%Initializing the length of time for which the simulation will run
l = 1000;
t = 0:l;
%Initializing parameters
%We allow jumps of unit "info... |
function A = ListAllCombination(m,n)
if m == 1
A = 1:n;
A = A';
return
end
B = ListAllCombination(m-1,n);
[RowL,ColumbL] = size(B);
cursor = 1;
A = [];
for i = 1 : RowL
for j = 1 : n
if ismember(j,B(i,:)) == 0 && j > B(i,1)
A(cursor, 1) = j;
A(cursor, 2 : m) = B(i,:... |
function [t,v,head] = isfread(filename)
% This function loads the binary data from a Tektronix ".ISF"
% file. The ISF file format is used by newer Tektronix
% TDS-series oscilloscopes.
%
% Syntax:
% [t,v] = isfread(filename);
% [t,v,head] = isfread(filename);
%
% Input:
% filename - name of Tektroni... |
clear all;
close all;
addpath_recurse('./tensor_toolbox');
load('./botp-attr-resfilter.K9.mat');
nzind = find(data.Y);
nzval = log(1 + data.Y(nzind) );
testind = data.test_ind;
testvals = log(1 + data.test_vals);
data.Y = sptensor(nzind, nzval, size(data.Y));
data.test_vals = testvals;
save('./botp-attr-resfilter.K9... |
function varargout=AnalyticLineFit(x,y,dy)
if isscalar(dy)
dy=repmat(dy,size(x));
end
w=1./dy.^2;
Delta=sum(w)*sum(w.*x.^2)-(sum(w.*x))^2;
A=(sum(w.*x.^2)*sum(w.*y)-sum(w.*x)*sum(w.*x.*y))/Delta;
B=(sum(w)*sum(w.*x.*y)-sum(w.*x)*sum(w.*y))/Delta;
dA=sqrt(sum(w.*x.^2)/Delta);
dB=sqrt(sum(w)/Delta);
% manage out... |
function cropped_line_img = lineSegmentFinder(orig_img, hough_img, hough_threshold)
% edge_img = im2double(edge(orig_img, 'sobel', .06));
if hough_threshold == 60
edge_thresh = 0.135;
else
edge_thresh = 0.1;
end
edge_img = im2double(edge(orig_img, 'canny', edge_thresh));
% imshow... |
function v = thermal_noise (r, t, df)
%
% function v = thermal_noise (r, t, df)
%
% Return the voltage variance on a resistor due to the thermal (Johnson
% - Nyquist) noise. Take the root square of the result to have a V value.
%
% - r is the resistor value in Ohm (1 per default);
% - t is the temperature in °C... |
clear all
close all
clc
%% Our Data
% Flow1 = pa_dtfanalysis('MW-BS-2010-07-14-0004.hrtf'); age1 = 65;
% Flow2 = dtfanalysis('MW-XX-2010-07-15-0004.hrtf'); age2 = 80;
% Flow3 = dtfanalysis('MW-X2-2010-07-15-0004.hrtf'); age3 = 76;
% Flow4 = dtfanalysis('MA-DE-2010-07-19-0001.hrtf'); age4 = 65;
% Flow5 = dtfanalysis('M... |
X = load("test.txt");
X = X(:,[1,2]);
d = [];
for i = 1:length(X)
if(X(i,2) > 114.6 || X(i,2) < 112.6 || X(i,1) > 23.8 || X(i,1) < 22.4)
d = [d,i];
end
end
X(d,:) = [];
opts = statset('Display','final');
[Idx,Ctrs,SumD,D] = kmeans(X,3,'Replicates',2,'Options',opts);
figure
hold on
plot(X(Idx == 1,2),X(I... |
% Proj02_03
% Autor: Washington Pinto Lisboa
% Redução das dimensões da imagem através da eliminação de linhas e colunas
clc;
clear all;
close all;
% Caminho do arquivo que deverá ser modificado
path = '/Users/wlisboa/Documents/Documentos VBox /Mestrado/PDI/Trabalhos/Proj02-03/imagens/Fig0220(a).tif';
I = imread(pat... |
function varargout = GUI(varargin)
%GUI M-file for GUI.fig
% GUI, by itself, creates a new GUI or raises the existing
% singleton*.
%
% H = GUI returns the handle to a new GUI or the handle to
% the existing singleton*.
%
% GUI('Property','Value',...) creates a new GUI using the
% given pr... |
function [ windField] = createWindField( )
%UNTITLED2 Create a 2D wind energy distribution
% Returns wind energy as a function of (x,y)
% Calling sequence: % norm2D(mu, R, W)
% Create individual thermals
nd1 = norm2D([-0.2 -.3], 0.8, 0.1);
nd2 = norm2D([1.6 0.8], 0.8, 0.1);
nd3 = norm2D([-0.5 0.8], 0.3, 0.1);
% Su... |
function [] = run_demo(v, FT, FTCPU, x,y,N, demoTitlePrefix)
%% Forward and adjoint transform
tic
test = FT*(v);
timeFT = toc;
disp(['Time forward: ', num2str(timeFT), ' s']);
tic
img_comb = (FT'*(test));
timeFTH = toc;
disp(['Time adjoint: ', num2str(timeFTH), ' s']);
%% Forward and adjoint transform NUFFT
tic
test2 ... |
clc
clear all
clf
close all
%Unitless Constants
rho=1;
eta=.1; % .03-.18
nu=.1;
c=1;
%Domain
R_IN=100;
R_OUT=102;
Z_DOWN=100;
Z_UP=101;
%Spatial Step Sizes
dr=.1;
dz=.1;
dt=.0001 ;
tic
tf = 2;
% Dimensions
r1=R_IN;
r2=R_OUT;
z1=Z_DOWN;
z2=Z_UP;
r=r1:dr:r2;
z=z1:dz:z2;
t=0:dt:tf;
% I... |
function [Out_mvDE, npdf]=mvDE_NCDF_ms(X,m,c,mu,sigma,stau)
% This function calculates multivariate dispersion entropy (mvMDE) using normal cumulative distribution function (NCDF) with defined mean (mu) and standard deviation (sigma) values.
%
% mvDE deals with the shortcomings of mvDE_I, mvDE_II, and mvDE_III although... |
function clusterParameters = determineClusteringParameters(handles)
minPts = str2num(get(handles.minPtsEdit,'String'));
clusterParameters.minPts = minPts;
isManualSelection = get(handles.manualSelectEpsRadio,'Value');
isRunSimulation = get(handles.runRSimulationForEpsRadio,'Value');
isLoadSimulation = get(handles.lo... |
% This program has the user input mass and velocity as arguments
% a function processes these arguments to output kinetic energy in J
%
%
% all the processing is done by the MV2KE function
%
%
% note: only one decimal place can be used for the mass and velocity
%
%
% the user has to enter the mass [in kilogra... |
%
%which file
i=4;
j=13;
l1 = dir('/Users/Lidija/Documents/MATLAB/SoilMoisture/cpc/*.csv');
l2 = dir('/Users/Lidija/Documents/MATLAB/SoilMoisture/abi/*.csv');
%select section
lx = 951;
rx = 1500;
ly = 201;
hy = 700;
% i
l1(i).name
tmp1 = csvread(['/Users/Lidija/Documents/MATLAB/SoilMoisture/cpc/' l1(i).name]);
c = t... |
clc;
clear all;
close all;
kp=1;
ki=1;
kd=0;
k2=1.1;
xi=0;
chs=1;
if chs==1
r=1;
n1=0;
n2=0.1;
end
if chs==2
r=0;
n1=0.1;
n2=0;
end
if chs==3
r=0;
n1=0;
n2=0.1;
end
y=0;
st=400;
dt=0.1;
lp=st/dt;
Y=zeros(lp,1);
e=r;
e0=0;
e1=0;
y1=0;
u=0;
for i... |
function tsdA = AddEvents(tsd,ISI)
% tsd is the original data; ISI is the CS-US interval from the Phase field
LVto = diff(tsd(:,1))>5; % Logical vector flagging 1st spike in each trial,
% but displaced one event too early because of differencing
LVtoff = [LVto;true]; % logical vector flagging last spike in
% each trial... |
clear
K = 2*200;
kperp = linspace(0,2*pi,K);
kpar = 0;
LAMBDA = zeros(K,2);
t = 1;
k2 = kpar;
r = 0;
%% armchair
V0 = -t*[0 1;1 0];
for k1 = kperp
r = r+1;
A = -t*[0 exp(-1i*k1);exp(1i*(-k1+k2)) 0];
H = V0 + A + A';
LAMBDA(r,:) = eig(H);
Percent = round(100*r/K);
disp(P... |
% L1CTLproc.m - Switch for L1CTL messages from higher layers
%
% Copyright (C) 2013 Integrated System Laboratory ETHZ (SharperEDGE Team)
%
% This program is free software: you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by the
% Free Software Foundation, either ... |
function TestPoly(n)
X = -1:0.001:1;
Y = f(X);
%Calculate x and y for chebyshev polynomial
theta = zeros(1,n+1);
for i = 0:n
theta(i+1) = ((2*i+1)/(2*n+2))*pi;
end
x = cos(theta);
y = f(x);
L = LegPolyApprox(X,n);
C = Pn(X,x,y);
figure;
plot(X,Y,'r... |
function [data]=readArff(file)
%READARFF reads the data in an ARFF file and put in a matlab matrix, only can be used in unix (egrep command needed)
data = [];
cmd = sprintf('egrep -v "(^(@|%%)|^\\s*$)" %s > temp', file);
[s,r] = system(cmd);
data = csvread('temp');
|
function ugray0 = universal_color_to_gray_converter(u, method_flag, method_name)
% This function provides different methods to convert a color images to a gray-value image.
%
% April 15th, 2010, By Reza Farrahi Moghaddam, Synchromedia Lab, ETS, Montreal, Canada
%
% The implemented methods are:
% 'normal', 'stan... |
clc;
clear;
%imagefiles= dir('C:\Users\hadi\Desktop\arborgreens\*.jpg');
% for i=1:1000
% cd('C:\Users\hadi\Desktop\arborgreens'); %going to dataset folder for read images
% currentfilename = imagefiles(i).name;
% image = imread(currentfilename);
% cd('C:\Users\hadi\Desktop\steganography... |
%function learn_UGM_SSVM()
clear
close all
addpath(genpath(pwd));
load ./data_hog.mat
% -------------------------------------------------------------------------
% Run SVM struct
% -------------------------------------------------------------------------
% config
[nRows,nCols,nNodeFeatures] = size(featureMatrices{1... |
function [tform,valid_pair_num,error] = getRigidTransform(new_pointcloud, ref_pointcloud, ref_normals)
%==== Initialize parameters ====
iter_num = 6;
d_th = 0.05;
m = size(new_pointcloud.Location, 1);
n = size(new_pointcloud.Location, 2);
tform = affine3d(eye(4));
G=zeros(3,6);
N=zeros(m*n,3);
%==== Main iteration loo... |
function varargout = DPARSF_FieldMap(varargin)
% DPARSF_FIELDMAP MATLAB code for DPARSF_FieldMap.fig
% DPARSF_FIELDMAP, by itself, creates a new DPARSF_FIELDMAP or raises the existing
% singleton*.
%
% H = DPARSF_FIELDMAP returns the handle to a new DPARSF_FIELDMAP or the handle to
% the existing si... |
function TheMonoalphabeticAdditiveCipher2
figure('MenuBar','None', ... % - создание графического окна без картинки и кнопок(они были бы, если был просто figure())
'Name','TheMonoalphabeticAdditiveCipher', ... % - изменяем название на наше
'NumberTitle','off', ... % - убираем название перед нашим !!!
'... |
clearvars;
%read from file and initiate test and training data************************
training_file = fopen('optdigits.tra');
tline = fgetl(training_file);
c=strsplit(tline, ',');
str = char(c);
lline=zeros(1,65);
for a=1:65
lline(a) =str2num(char(c(a)));
end
training=lline;
tline = fgetl(training_file);
while is... |
function [flux] = rxnFlux(model,reactionID,varargin)
if nargin == 4
soln = varargin{1};
v1 = varargin{2}{1};
v2 = varargin{2}{2};
elseif nargin == 2
soln = optimizeCbModel(model,[],'one');
[v1 v2] = fluxVariability(model);
end
id = strmatch(reactionID,model.rxns,'exact');
flux = printR... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2012 Analog Devices, Inc.
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in compliance with the License.
% You may obtain a copy of the License at
%
% http:/... |
close all
clear all
clc
% Fs = 50000;
% dur = 10;
% nfft = 2^10;
% Fs = nfft/dur;
% x = linspace(0,10,nfft);
% y = 4*sin(2*pi*x);
% plot(x,y);
%
% figure
% pa_getpower(y,Fs,'display',1);
x= linspace(0,4,7);
freq = pa_oct2bw(700,x);
% freq = freq/1000;
subplot(221)
plot(freq/1000,'o-')
pa_horline(4... |
function f = myFunction2Diff(x)
% f = - x * y + 4 * x / y;
% f = sin(x) - y;
y = (x^2 - x - 1)/(x - 1);
endfunction
|
tic;
% close all;
clear;
samePlot = true; %do you want all points on the same plot?
% addpath('CollectedData/');
% addpath('Functions/');
load('Data/cap_har.mat'); % this data was calculated using functions from paper2
load('Data/eve.mat');
%save off the part of the array that is needed for calculations
cap_har = cap_... |
function wsSmp = movSmp(src, wsVdo, parSmp, varargin)
% Sampling the video.
%
% Input
% src - src
% video - video
% parSmp - sampling parameter
% alg - algorithm, 'uni'
% fps - frame rate, {30}
% ran - range, {[1 0]}
% varargin
% save option
%
% Output
% wsSmp - sampling ... |
%% Script de test de la fonction effectuant la methode du Lagrangien
% augmenté
% Definition des constantes de depart conformément au sujet
alpha = 0.1;
beta = 0.9;
eta = 0.1;
eta_chap = 0.1258925;
mu = (eta_chap/eta)^(1/alpha);
tau = 1.4;
lambda = 0;
delta = 1;
% Definition des points de depart
x0_11 = [0;1;1];
x... |
% boundedlineting averages
close all
clear all
clc
net_num=1;
num_samples=5;
str2 = {'A0C_','A10C_','A25C_','A50C_','A100C_'};
str3 = {'pE_pC_','pE_npC_','npE_pC_'};
subfldrs = {'Shear','Overload','Overload_Shear','Underload'};
plot_sub = 1;
for n=2:2
for w=1:5
q=w;
for p =1:num_samples
... |
function [features] = SCPooling(blocks, dict, pyramid, SC_opts, LDS_opts)
%================================================
%
% Usage:
% Compute the linear spatial-temporal pyramid feature using sparse coding.
%
% Inputss:
% blocks -structure defining the feature set of an image
% ... |
function adjustedPVals = frmrHolmBonferoni(pVals)
%See http://en.wikipedia.org/wiki/Holm-Bonferroni_method
%Holm, S. (1979).
%"A simple sequentially rejective multiple test procedure".
%Scandinavian Journal of Statistics 6 (2): 65-70. JSTOR 4615733
adjustedPVals = nan(size(pVals));
[pVals, sortIndex] = sort(pVals(... |
function [fluid,environ,iF,iE] = hex_set(fluid,indF,environ,indE,Tset,eff,ploss)
% Import fluid.state and fluid.stage
state = fluid.state(indF(1),indF(2));
stage = fluid.stage(indF(1),indF(2));
% Extract initial conditions
T_st = state.T;
p_st = state.p;
h_st = state.h;
s_st = state.s;
T0 = environ.T... |
function Build_Figs5ABC_Enolase_Plos1_CompBio_July2021
Script_DTWPathFigs_Build_AddCaption_Plos1_CompBio_July2021('5ABC');
figHandle = figure(1); text(-150, -100, sprintf('\\fontsize{20}%s', 'A)- 5'));
legend('DBA CONSENSUS', 'SSG CONSENSUS', 'MM CONSENSUS', 'Location', 'best');
figHandle.Name = '_F_Fig... |
function [newSpecSeq,deletedNos] = deleteoutlier(specSeq,stableTime,ROI,outlierThresh,plotOrNot)
% Detele spectra whose counts in ROI are outliers
%
% Inputs:
% specSeq: normalized spectra sequence£¬each column is a nmlized spectrum
% stableTime£ºFrom which spectrum the flux was stable
% ROI£ºRegion of interest, a str... |
values = [];
myspects = [];
c1 = 0;
c2 = 0;
data = load('data.mat');
lambda = linspace(400, 800, 401)';
omega = 2*pi./lambda;
eps_silver = interp1(data.omega_silver,data.epsilon_silver,omega);
eps_gold = interp1(data.omega_gold,data.epsilon_gold,omega);
eps_silver = interp1(data.omega_silver,data.epsilon_silver,omeg... |
%% Quantization
clear, clc, close all
addpath('C:\Users\Joe\Dropbox\research\codes\f\')
addpath('C:\Users\Joe\Dropbox\research\codes\ofdm\')
Ofdm = ofdm(64, 56, 16, 100e9, 'DSB', 'none');
Ofdm.set_cyclic_prefix(0, 0);
x = Ofdm.signal(100);
Nbits = 3;
xmax = max(abs(x));
xmin = -xmax;
dx = (xmax-xmin)/(2^Nbits-1);
c... |
%Whale Group at MTBI
%This function corresponds to the paired females
%for the Whale Group (also know as the Whale Watchers :P )
%mux = probability of surviving the single female cycle
%muy = probability of surviving the single male cycle
%x = single females
%y = single males
function pf = px_fosc( epsilon, mu... |
function d = DistanceTraveled(cfg_in,pos,iv_in)
% function d = DistanceTraveled(cfg_in,pos,iv_in)
%
% returns distance traveled in pos during interval iv_in
% (sum of absolute diffs), in units of pos
%
% MvdM 2016-10-25
cfg_def = [];
cfg = ProcessConfig2(cfg_def,cfg_in);
nDim = length(pos.label);
% first, construct... |
function krirto = ratio_kri(wvchar_angle, bottom_angle)
% krirto = RATIO_KRI(wvchar_angle, bottom_angle)
%
% inputs
% - wvchar_angle: angle (in radians) of the wave
% characteristic with the horizontal.
% - bottom_angle: angle (in radians) of the linearly
% slop... |
% Correction orbite mesur�e 18 BPM 18 corr
% nux = 5.95
clear beta_bpmx phi_bpmx s_bpmx
clear beta_corrx phi_corrx s_corrx
clear beta_defx phi_defx
clear Cc K X Xr
ncell=44;
betax=10.5;
b1 =10.5;
b2 =2.;
nux=5.95*2*pi;
dnux=nux/ncell;
ds=3.5595;
ncorrx=22;
nbpmx=22;
% table BPM
loc(1) =01;loc(2) =04;loc(3) =05;... |
% loiter input parameter
% W = W - W_cargo;
LoiterTime = 3600/2; % Loiter time (s)
eo = 0.7; % Oswald efficiency factor
K = 1 / (pi * eo * AR); % Whole airplane K (Quadratic drag coefficient)
% end loiter input parameter
% You can find the fuel used in (optimal) loiter by plugging LoiterTime
% into the appropriate end... |
%Drill Tip Calibration Robustness Test
%CISC 330 - Computer Integrated Surgery
%Assignment 3
%Grace Pigeau 10187678
%
%Purpose: Test the robustness of the drill tip calibration function
function DrillTipCalibrationRobustness_test(truth)
%initialize a matrix to hold the Emax values and the error they creat... |
function [err,estLabels,A] = EKSS(X,K,d,trueLabels,B,q,T,heur,sc,base)
% The Ensemble K-Subspaces algorithm for subspace clustering
% [trueErr,l2Err,estLabels] = EKSS(X,K,d,trueLabels,B,q,heur,sc,base)
% Input:
% X: ambient dimension by number of data points
% K: number of subspaces
% d: dimension of subspaces ... |
for qq=SingleAngleIdxs
dir_to_look_name = dir([WorkingP 'Relaxometry' filesep 'Set_Num_' num2str(qq) filesep 'Core*.nii']);
TmpFN=[WorkingP 'Relaxometry' filesep 'Set_Num_' num2str(qq) filesep dir_to_look_name(1).name];
FullVol=loadniidata(TmpFN);
FullVol4D(:,:,:,qq)=FullVol;
Tmp=DCEVolToT1(FA3D,DCE... |
function [ metric ] = vd2metric( vd, distance )
%VD2METRIC Converts view angle to physical distance
% Input parameters:
% vd visual degrees
% distance physical distance from observer to stimulus
%
% Returns:
% Physical size of the stimulus
metric = 2*distance*tand(vd/2);
end
|
%Assignment 1 a, b, c
%Deepak Gopinath - 903014581
function [ output_args ] = Assignment1abc( file, windowSize, hopSize )
%Function to calculate blockbased autocorrelation using matlab's xcorr
%function and then plot the original waveform, spectrogram and correlation
%function.
[samples, sr2] = audioread(file); % ... |
% This m-file gets additional data about speakers to be saved in a database.
% Saves database in a table in a .mat file ('_addData_corpusName.mat). First
% column contains a cell array of files names (full names, e.g. 'file_id.wav').
% Next columns are gender (cell array of strings: 'x', 'f' or 'm'), age (vector
% o... |
function [stage2, stage1, bsalt, bsalb, bsall, bsalr] = ManifoldRanking(adjcMatrix, idxImg, bdIds, colDistM)
% The core function for Manifold Ranking Saliency:
% C. Yang, L. Zhang, H. Lu, X. Ruan, and M.-H. Yang. Saliency
% detection via graph-based manifold ranking. In CVPR, 2013.
% Code Author: Wangjiang Zhu
... |
% ***************** EE POSITION IS ONLY PUBLISHING AT 11HZ ********************
close all; clear all; clc
dt = 1/1000;
ftd = dlmread('Datasets/Control_Stem/test3.txt');
%% Extract Data
t = ftd(:,1) - ftd(1,1);
Fx = ftd(:,2) - ftd(1,2);
Fy = ftd(:,3) - ftd(1,3);
Fz = -(ftd(:,4) - ftd(1,4));
Tx = ftd(:,5)... |
clear; close all; clc;
%% Анализ свойств многолучевости навигационных сигналов
% Блок ввода входных параметров:
f = 4*1.023; % Мгц, тактовая частота кода перспективного сигнала ГЛОНАСС
N = [-1 1 -1 -1 -1 -1 1 1 -1 -1 1 1 -1 1 1 1 1 1 1 -1 1 -1 -1 -1 -1 1 1 -1 1 1 1 -1 1]; % ПСП последовательность
d = 10e2/f; % длитель... |
function f = d2d(m,n)
%D2D Differential filter
km = 1:m;
fm = (1-2*mod(m:-1:0,2)) .* [1 cumprod((m-km+1)./km)];
fm = interweave(fm,zeros([1 m]));
kn = 1:n;
fn = (1-2*mod(n:-1:0,2)) .* [1 cumprod((n-kn+1)./kn)];
fn = interweave(fn,zeros([1 n]));
f = fn' * fm; |
%% nh3_v4.mat TEST SCRIPT (Tsat) INDEPENDENT VARIABLE
%
% Franco N. Ferrucci
% ferruccifranco@gmail.com
% Oct 2018
%% Cleanup
clearvars -except nh3_v4 c
clc
%% f(T,P), independent variables set
Tsat = 300;
%% Load parameters/variables
load nh3_v4.mat
c = conversion_factors();
fluid = 'Ammonia';
%%... |
function H = hulk(v)
H = [(v)' ((v).^2)' ((v).^3)'];
end |
It = load('TestX4.txt');
[X_fism,Y_fism] = sort(M_FISM, 2, 'descend');
[X_cb,Y_cb] = sort(M_CB,2,'descend');
% [X_demo,Y_demo] = sort(M_Demo,2,'descend');
n = 5;
hit_fism = HitRate_N(Y_fism,It,n);
hit_cb = HitRate_N(Y_cb,It,n);
% hit_demo = HitRate_N(Y_demo,It,n);
[hit,ahit] = HR_ARHR_N(Y_item,It,n); |
function [ medianShapeIndexWCells,averageShapeIndexWCells,medianShapeIndexNeighsWCells,averageShapeIndexNeighsWCells,mutantCells,neighMutantCells] = calculateShapeIndexVoronoiWeighted( photoPath )
%get shape index of weighted cells and neighbours
dataPath=strrep(photoPath,'\images\','\data\');
dataPat... |
%For the time series
deltaT=0.005;
Time_vertical=(0:deltaT:0.995)';
Time_circle=(1:deltaT:4.995)';
%For the Flying to 1m
Z_vertical=-(linspace(0,1,200))';
X_vertical=zeros(200,1);
Y_vertical=zeros(200,1);
xd_vertical=[X_vertical,Y_vertical,Z_vertical];
% Vx_vertical=zeros(200,1);
% Vy_vertical=zeros(200,1... |
clear
comm_type_num = 2;
comm_rep_num = 50;
rp = 20;
fp0_all = zeros(rp, comm_type_num*comm_rep_num);
fp0_sel = zeros(rp, comm_type_num);
P_all = zeros(rp, comm_type_num*comm_rep_num);
M0_frac_all = zeros(rp, comm_type_num*comm_rep_num);
M0_frac_sel = zeros(rp, comm_type_num);
for j = 1:rp
folder_name = ['R' num2st... |
function circles = FuncIncisionAndMarksPointDetect(img, matching_points, template_circle, is_debug, incision_index, img_type)
if(incision_index == 1)
x_incision_start = 1;
x_incision_stop = matching_points(4, 2, incision_index) + overlap_pixel;
elseif(incision_index == size(matching_points, 3))
... |
function [train_image_paths, test_image_paths, train_labels, test_labels] = ...
get_image_paths(data_path, categories, num_train_per_cat, num_test_per_cat)
num_categories = length(categories); %number of scene categories
%paths for training and test image
train_image_paths = cell(num_categories * num_train_per_c... |
function Q = RieszAnalysis(A, config)
% RIESZANALYSIS perform the Riesz tranform of high order
%
% --------------------------------------------------------------------------
% Input arguments:
%
% A image to analyze
%
% CONFIG RieszConfig2D object that specifies the Riesz-wavelet
% transform.
%
% ----------------------... |
function [aucList,handle] = aucList_v1(bkgd,smpl,whichPlace,sampleName,combinedCh,timeCombined,plotOrNot)
% 作图，横轴为合并道数，纵轴为AUC，线的数量为smpl的元胞数
%
% INPUTS:
% bkgd: 无毒品能谱，数值矩阵
% smpl：不同元素为数值矩阵，行数一致且与bkgd相同，元胞数组
% whichPlace: 画哪个位置的识别效果AUC曲线簇，1*2数值矩阵
% sampleName: 图例的标题，单列元胞数组
% combinedCh：图中横轴为多少道合为一道，列向量
% timeCombined: 每个... |
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