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function [ optimal_numClust, optimal_temporalFactor ] = ...
optimal_numClust_temporalFactor( trial_idx, temporalFactor_range, numClust_range )
optimal_temporalFactor = temporalFactor_range(mod((trial_idx-1), length(temporalFactor_range)) + 1);
optimal_numClust = numClust_range(ceil(trial_idx / length(temporalFacto... |
function binaryFn = binary_function(attackAlgo, originalImage, watermarkedImage, detectFunction)
wImg = imread(watermarkedImage);
function [res, out, attackedImage] = try_attack(factor, varargin)
attackedImage = uint8(attackAlgo(wImg, factor));
[res, out] = detectFunction(originalImage, watermar... |
function [t,w] = GLinterval32(a,b,NPanels,pedges)
% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
% [t,w] = GLinterval(a,b,NPanels)
% Returns nodes and weights for composite 32 point Gauss-Legendre quadrature
% using NPanels panels over (a,b)
%
% [t,w] = GLinterval(a,b,NPanels,pedges... |
function [AccountVal, PayoutVal, FeeVal] = calcValuePayoutAndFees_VEC( ...
Holdings_0, assetPrice, annualWithdrawalRate, annualFee)
% CALCVALUEPAYOUTANDFEES_VEC estimates the account value, the payout
% amounts, and the fees collected for a Monte Carlo simulation of the GMWB.
%
% It makes some changes to the o... |
clc, clear all, close all
%% ANALYZE MEASURED DATA
% Load data
load Dam_properties.mat
% Get mean values
spec_mean = mean(spec')'; % Mean ZF-dam/mch-dam frac methylated
mch_dam = mean(act')'; % Mean mch-dam frac methylated
ZF_dam = mch_dam.*spec_mean; % Mean ZF-dam frac methylated
%% FUNCTIONS TO... |
function A = sym_polymat(x,n)
A = [];
for i = n:-1:1
if i > 0
A(:,end+1) = abs(x).^i .* sign(x);
else
A(:,end+1) = 1;
end
end |
% Tim Truster
% 10/08/2014
% 2D CZ element, elastic stiffness only
%% Task Switch - Perform various element functions
switch isw
%%
case 1 % Setup up elemental degrees of freedom (OPTIONAL)
% Purpose: Rearrange order of dofs on element and/or flag certain
% dofs to be presecribed away
% Cal... |
function W_out = eval_w_many_points(K,wc,wp)
% W_out = eval_w_many_points(K,wc,wp)
%
% Evaluate a polynomial w(k), expressed as a coefficient matrix (wc) and a
% powers matrix (wp), at the points K (2-by-N). This is the same as the
% function eval_w, but can handle a 2-by-N input. However, calling this
% function on a ... |
clear params
folders = dir("../data/Section1_SeveralCaptures");
base_save_folder = "../results/sec1/";
mkdir(base_save_folder);
folders = folders(3:end);
global params
params.b = 0.001;
for folder = folders(1)'
save_folder = strcat(base_save_folder,folder.name);
mkdir(save_folder);
disp(fullfile(folder.fol... |
function matData = load_mat(myFolder)
if ~isdir(myFolder)
errorMessage = sprintf('Error: The following folder does not exist:\n%s', myFolder);
uiwait(warndlg(errorMessage));
return;
end
filePattern = fullfile(myFolder, '*.mat');
matFiles = dir(filePattern);
for k = 1:length(matFiles)
baseFileName =... |
function [gSC, deltaSC, dev, glob] = gradDesc(SC, FC, mode, k1, lambda,extra)
%% define some masks
h1 = logical(diag(ones(length(SC)/2,1),+length(SC)/2)); % get masks for LH2RH and
h2 = logical(diag(ones(length(SC)/2,1),-length(SC)/2)); % RH2LH homotopic connections
h = h1 + h... |
d = 25;
rg = range(d, 'roadster.mat', 'speed_elsa.mat', 10000, 100);
disp(['Battery charge expected being enough for driving ', num2str(rg), 'km.']);
% Battery charge expected being enough for driving 49.6698 km.
rg = range(d, 'roadster.mat', 'speed_anna.mat', 2000, 100);
disp(['Battery charge expected being enough for... |
function caffe_set_blobs_data(net, blobs, blob_names)
%
% This file is part of the code that implements the following ICCV2015 accepted paper:
% title: "Object detection via a multi-region & semantic segmentation-aware CNN model"
% authors: Spyros Gidaris, Nikos Komodakis
% institution: Universite Paris Est, Ecole des... |
clear all; close all; clc;
dbg = true;
fnm_alpha = pathos('_bkp/renkli_marker_alpha.csv');
if ~exist(fnm_alpha),
error(sprintf('19bal/heg/.../05-vid-renkli-marker/_bkp/%s yi buraya kopyala\nVEYA bunu dene: https://github.com/downloads/19bal/heg/renkli_marker_alpha.csv', fnm_alpha));
end
disp('anlik.... |
function [h,L,M,ground] = add_shadow(T,L,varargin)
% ADD_SHADOW Add a shadow for plotted mesh (t) according to light (l)
%
% h = add_shadow() % Apply to all
% h = add_shadow(T,L)
% h = add_shadow(T,L,'ParameterName',ParameterValue,...)
% h = add_shadow([],[],'ParameterName',ParameterValue,...) % apply to... |
function [ dataArray ] = ifftc( dataArray )
%IFFTC inverse FFT for centered data
%
% Syntax
%
% A = IFFTS( F )
%
% Returns IFFT of array F after applying the correct ifftshifts
%
dataArray = fftshift( ifftn( ( dataArray ) ) ) ;
end |
classdef (Hidden, Sealed) CoarseSetAffinityRecompute < amg.coarse.CoarseSet
%COARSESET A coarse aggregate set of a fine-level graph.
% This class is the main data structure used during aggregation
% stages.
%
% @DEPRECATED
% See also: AGGREGATORHCR.
%=========================== ... |
function eigenvalue_poincare()
fix=open('fixedpointforfivelink/Switching_Control/fixed_point_F=0.mat');
% ival=fix.fpStates
ival=fix.x'
x_fix = ival(1:10);
clear theta_minus theta_plus betta event XX M_bez
global theta_minus theta_plus betta event M_bez
[betta,theta_minus,theta_plus]=fcn_alpha_red(ival)
%event=... |
clear all
close all
clc
b=1.595;
a=1.430;
uc=20;
cr=96000;
cf=80000;
i=4132;
m=2325;
A=[(-cf-cr)/(uc*m) (b*cr-a*cf)/(uc*m)-uc 0 0;(b*cr-a*cf)/(uc*i) (b*b*cr-a*a*cf)/(uc*i) 0 0;0 1 0 0;1 0 uc 0];
B=[cf/m;a*cf/i;0;0];
C=[1 0 uc 0];
D=0;
ss(A,B,C,D);
impulse(ss(A,B,C,D)); |
%% SCRIPT THAT SOLVES A SLIDING HORIZON QU WITH LPM
%% USING A TREE REDUCTION ALGORITHM
%% initialization
clear all;
clc;
%basic parameters
WorkingDirectory = fileparts(mfilename('fullpath'));
cd(WorkingDirectory);
noSet = [];
priceFreq = 'month';
data_file = 'model_data.dat';
model_file = 'max_qu_lpm.mod';
ru... |
%
function wedges = getWedges(radialMask, radialIm, param, varargin)
%Reading in the variables
if nargin ==3
L = bwlabel(radialMask);
props = regionprops(L);
center = props.Centroid;
numWedges = 12;
end
if nargin==4
center = varargin{1};
numWedges = 12; %Default to 12 wedges
end
if nargin==5
... |
% Fleckmentation: hierarchical segmentation using 2-means clustering.
% From 'Fleckmentation: Rapid Segmentation using Repeated 2-Means'
% https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6060
% DOI: 10.1049/iet-ipr.2018.6060
% https://www.researchgate.net/publication/334393498_Fleckmentati... |
%{
Copyright (c) 2014.
Raghvendra V. Cowlagi, Ph.D.,
Assistant Professor, Aerospace Engineering Program,
Department of Mechanical Engineering,
Worcester Polytechnic Institute.
Higgins Laboratories, 247,
100 Institute Road, Worcester, MA 01609.
Phone: +1-508-831-6405
Email: rvcowlagi@wpi.edu
Website: http://www.wpi.ed... |
function p = precision(predicted, gt)
%AUTHOR: Son La
%STUDENT NUMBER: y107227
% This function computes the precision of a classifier
% INPUT
% predicted: Nx1 binary array of predicted labels
% gt: Nx1 binary array of gt
% OUTPUT
% p: precision value
TP = sum(predicted & gt); % Predicted = 1 & GT = 1
FP = s... |
%% Program to Evaluate Fitness of a Sensor Combination
clear;
clc;
close all;
env = environment_generate('mini_0705.mat');
datax = env.datax; % Discrete data points (x)
datay = env.datay; % Discrete data points (y)
dataz = env.dataz; ... |
function [x, y, z] = draw_plane(point, normal, color, points)
bounding_box = compute_data_bounding_box(points);
d = -point' * normal;
num = 60;
[~, k] = max(abs(normal));
if k == 1
ym = linspace(bounding_box.min_y, bounding_box.max_y, num);
zm = linspace(bounding_box.min_z, bounding_box.max_z, num);
... |
function h= testmotion
h = [];
h.plotData = @plotData;
h.setRotation = @setRotation;
h.setStepSize = @setStepSize;
h.onerot = @onerot;
h.ccrot = @ccrot;
h.cwrot = @cwrot;
h.readcell = @readcell;
% ---
rotationdirection = 1;
%1 for clockwise
%-1 for counter clockwise
%--
stepsize = 1; % in degrees
hMoto... |
% Copyright (C) 2013 Quan Wang <wangq10@rpi.edu>,
% Signal Analysis and Machine Perception Laboratory,
% Department of Electrical, Computer, and Systems Engineering,
% Rensselaer Polytechnic Institute, Troy, NY 12180, USA
%
% You are free to use this software for academic purposes if you cite our paper:
% Qu... |
function output = comparaisonReport(input)
if nargin == 0
disp('Choose a segmentation result file (mat)')
[fileName,pathName,~] = uigetfile('*.mat');
input = fullfile(pathName, fileName);
end
if exist(input, 'dir')
disp('Input is a folder')
processDir(input);
output = [];
elseif exist(input, '... |
function varargout = mapn(array, start, varargin)
% [OUTPUT] = MAPN(ARRAY, START, FUNC, OPTIONS)
% This is MAP(ARRAY, FUNC', OPTIONS) where FUNC' takes the ordinal
% position of the array element we are mapping across instead of the
% actual value. Positions start counting at start.
%
[funclist, vara... |
clear all
close all
clc
%% Parametry symulacji
Fs = 10000;
T = 10;
t = 0:1/Fs:T;
N = length(t);
M1 = [1 10.1];
M2 = [1 20000];
M3 = [1 900];
C1 = 10;
C2 = 1;
C3 = 10;
K1 = 200000;
K2 = 4000000;
K3 = 600000;
sim('model_3dof')
figure
subplot(3,1,1)
plot(tout,masa1)
title('Masa pierwsza')
xla... |
function p = get_particula()
p.velocidad = [];
p.pos = [];
p.mejorParticula_individual = [];
p.dimension = 0;
p.w = 0; #DEFAULT
p.c1 = 0; #DEFAULT
p.c2 = 0; #DEFAULT
endfunction |
clc
clear
load('space.mat');
N=2150;
Nplanets=length(m);
dt=100000;
G=6.67e-11;
for ts=1:N
for i=1:Nplanets
F=[0,0,0];
for j=1:Nplanets
if i~=j
%define relative position of the planet
r=[x(j,ts)-x(i,ts);y(j,ts)-y(i,ts);z(j,ts)-z(i,ts)];
... |
function [ idimsigsummary] = idimsig( idimstats )
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
[m,n] = size(idimstats.ballcount);
idim = idimstats(1).idim;
count = idimstats(1).ballcount;
scale = idimstats(1).firstscaleindex;
sig = zeros(m,1);
M = zeros(m,3);
M(:,2) = idim;
for i = ... |
function [p, theta] = calcola_punti_traiettoria(xd, yd, phi)
% [p, theta] = calcola_punti_traiettoria(xd, yd, phi)
% FUNZIONE UTILIZZATA PER IL MAIN PER OTTIMIZZARE I LINK
% restituisce le coordinate (posizione e orientamento) dei punti A, B e
% i punti a massima e minima distanza dall'origine
dista... |
function [] = plot_combination_relus( C, W1, W2, B, nb_points )
% plots sum c_i | w1x + w2y + b |_+ on a sufrace/mesh grid
x = linspace(-1,1,nb_points);
y = linspace(-1,1,nb_points);
[X,Y] = meshgrid(x,y);
n = length(W1);
Z = zeros([nb_points,nb_points]);
for i = 1:n
%w1 = W1(:,:,i);
%w2 = W2(:,:,i);
%b = B... |
function status = XuReconWithAngularInfo (s_jsonc)
%status = XuReconWithAngularInfo (s_jsonc)
%the sinogram file is with the dimensions
status=0;
recon_para = XuReadJsonc(s_jsonc);
raw_data_folder=recon_para.RawDataFolder;
raw_to_sgm_sub=recon_para.RawToSgmFileReplace;
D=dir([raw_data_folder,'\*.IMA']);
for idx=1:len... |
% 2017 Fall Numerical Optimization Homework #7
% 2017. 11. 20
% 20161216 HAN SANGJUN
clc;
clear;
close all;
max_iter = 5000; % when reach to end of loop, evoke error
epsilon = 1; % for terminating condition
%% Model 1 - ax + by + cz + d
jacobian_mat = zeros(0, 4);
% load given data
path = ['C:\U... |
function px_hm_exc(fdp,para)
%==========================================================================
% FORMAT px_hm_exc(fdp,para)
% Usage:
% This function is to check the excluded subjects on different levels
% of criteria.
% Input:
% fdp.rp - full path of the rp*.txt files, a m-by-n cell with ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Created: 04-Apr-2014 16:53:06
% Computer: GLNX86
% Matlab: 7.9
% Author: NK
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% prepare ssh data
% reads user input from input_vars.m and map_vars.m
function S00b_prep_data
%% set up
[DD]=set_up;
%% spmd
main(DD);
%% save inf... |
%% Clean
close all
clear all
%% Hemodynamic impulse response
Fs = 10;
dur = 20; % sec
xh = 0:(1/Fs):dur; % sec
a = 4.30; % peak time 4.5 s after stim, shape
b = 0.75; % scale
delta = 2; % 2s delay
beta = 0.5;
sigma = 1;
H = beta*gampdf(xh-delta,a,b);
%% Convolution with sti... |
clc
clear all
% To find partial derivatives in two variables
% f(x) = sin(x1)+exp(-x2)
a = [0.5; 1];
h = [1e-6; 1e-6];
trueVal = [cos(a(1))*exp(-a(2)), -sin(a(1))*exp(-a(2))];
%% Partial derivative w.r.t first variable
x = a;
x(1) = a(1)+h(1);
f1 = sin(x(1))*exp(-x(2));
x(1)= a(1)-h(1);
f2 = sin(x(1))*exp(-x(2));
... |
%%
% fname = 'highpower_steplaser_fsw_vna_20181220T121725';
% fname = 'highpower_steplaser_fsw_vna_4.50_20181223T125045';
fname = './steplaser_highpower/atten_2.50dB_20181223T173134';
% fname = './steplaser_highpower/atten_3.00dB_20181223T191121';
% fname = './steplaser_highpower/atten_3.50dB_20181223T205116';
... |
disp("punto 1")
warning('off', 'all');
clc
#La funcion nos permite verificar si los inputs del archivo p(x) estan bien
function y = verification_p(array)
sum = 0;
for i = array
sum = sum + i;
end
if sum == 1
y = true;
return
endif
y = false;
endfunction
function y = verification_shapes(PX, PYX )... |
function [a ,G, e] = recLS(a0,P0,u,z)
N=900;
% kezdeti értékek beállítása
a=a0;
P=P0;
% rekurzív LS becsl? egyenletei
for i=1:N
G=P*u(i,:)'/(1+u(i,:)*P*u(i,:)');
e=z(i)-u(i,:)*a;
a=a+G*e;
P=(eye(25)-G*u(i,:))*P;
end
end |
function [s, t_sym_s] = mk_sin(F_Hz, win, chan, Fsr_Hz, duration_s)
if (nargin < 5)
duration_s = 1;
end
if (nargin < 4)
Fsr_Hz = 48000;
end
Tsr_s = 1 / Fsr_Hz;
if (nargin < 3)
chan = 2;
end
if (nargin < 1)
F_Hz = Fsr_Hz / 8
end
if (nargin < ... |
%归一化的操作，如果F中的点的值大于256，则将它设置为255
%F:源数据
%frame：目的数据
%originFrame：若flag为1且originFrame中对应点值为零，则frame中对应位置的值为0
function [frame] = Normalize(F, originFrame, flag, max)
frame = zeros(1, max);
%% 这段也没有用啊……
low = 255000000;
high = -25000000;
for y = 0: max-1
for x = 1: max
if low > F(x+y*max)
low = F... |
function varargout = argparse(varargin)
% VL_ARGPARSE Parse option arguments
% CONF = VL_ARGPARSE(CONF, ARGS) updates the structure CONF based on
% the specified parameter-value pairs ARGS={PAR1, VAL1, ... PARN,
% VALN}. The function produces an error if an unknown parameter name
% is passed in.
%
% [CONF, A... |
function plot_tfcondition_tstat_bar(tfc)
%
%
%
%
%
%
%
%
tstat_avg = {'tstat_animal_avg_1hz','tstat_animal_avg_2hz','tstat_animal_avg_4hz',};
tstat_ste = {'tstat_animal_ste_1hz','tstat_animal_ste_2hz','tstat_animal_ste_4hz',};
plot_titles1 = {'One Hz Animal','Two Hz Animal','Four Hz Animal'};
tstat_animal_avgs = {'... |
function rmse = RMSE(yMeasured, yPredicted)
n=size(yMeasured)
n=n(2);
rmse=0;
for i=1:n
rmse=rmse+(yMeasured(i)-yPredicted(i))*(yMeasured(i)-yPredicted(i));
end
rmse=sqrt(rmse);
end |
function [residual, g1, g2, g3] = sigma_mf_static(y, x, params)
%
% Status : Computes static model for Dynare
%
% Inputs :
% y [M_.endo_nbr by 1] double vector of endogenous variables in declaration order
% x [M_.exo_nbr by 1] double vector of exogenous variables in declaration order
% par... |
data=[12 -5 13 -3 -8 3 7 -4 7 -4 -4 -1 -5 2 13 -5 -6 5 -5 -8 -6 -7 2 9 -5 -4 -5 8 4 -1 12 1 7 11 11 -1 9 0 -5 14 -3 -8 -3 12 -1 -1 13 7 -6 -7 12 12 -8 10 6 14 -7 6 10 12 8 14 7 8 -1 10 9 13 3 13 -7 12 7 13 -5 -7 -2 9 10 -6 7 7 14 10 9 -6 11 -3 12 -6 8 12 9 10 11 11 1 1 -6 -4;
3 13 6 1 9 16 15 1 17 13 -1 -3 9 17 12 5 3... |
myimg=imread('your 3D image needed to be labeling .png .jpg etc.');
myimg=imresize(myimg,[375,1242]);%accorind to the resolution of the camera
fig = figure(1);
set(fig,'position',[200,100,0.8*size(myimg,2),0.8*size(myimg,1)]);
h(1).axes = axes('position',[0,0,1,1]);
%h(2).axes = axes('position',[0,0,1,0.5]);
imshow(myi... |
function [nodes,tets,faces] = tetgen(V, F, quality, switches)
% TETGEN Interface to the tetgen library.
%
% [nodes,tets,faces] = tetgen(V, F, quality, switches)
% V: 3xN set of vertices
% F: KxM set of faces, where K is the number of vertices per face
% (optional, defaults to computing convex hull)
% qua... |
% clear all;
close all;
%faults=1:20
showfig=1;
nori=21;
for faulti=14
for timen=20%[20,16,13,10,8,6,4,3,2,1]
for tagn=5%50:-5:5
% load(['D:\ZhangProject\mat\matf',num2str(faulti),'\teline',num2str(timen),'-',num2str(tagn),'-',num2str(faulti),'.mat']);
[ traindata,trainlabel,testdata... |
global base
base = [pwd '/'];
addpath(genpath([base 'BasicModels']));
addpath(genpath([base 'lightspeed']));
load('parseddata');
X = data(:, 3:4);
output = gibbsPhonemes(X); |
function value = basemax(x,varargin)
%
% zeromax(x,B=2)
%
% Implements the function basemax(x(1),B) + basemax(x(2),B) + ...
% where basemax returns the number of digits base B of x equal to B-1.
%
% See also: onemax, zeromax
%************************************************************
%* ... |
function r = lt(p,q)
% MEAS/LT Implement p < q for meas.
% find the difference between the two
diff = meas();
diff = p - q;
% see if p < q at the 1-sigma level
if (diff.value < diff.error)
r = 1;
else
r = 0;
end |
function Data = VocExtractor(varargin)
% COLLECT PROPERTIES AND PERFORM INITIAL ANALYSIS OF VOCALIZATIONS
P = parsePairs(varargin);
checkField(P,'Data')
checkField(P,'Range');
checkField(P,'SR',250000)
checkField(P,'Channels',[1,2]);
checkField(P,'HighPass',50000);
checkField(P,'LowPass',90000);
checkField(P,'FIG',1... |
%%
clear all; clc; close all;
global num_modes;
ng = 4; %number of goals. is a fixed parameter
nd = 3; %dimensionality of the problem.
num_modes = 2;
sig_t = 0.1; %std deviation for the entropy measurement.
% xg_t = [randsample(-4:4, ng);rand(1,ng)*4 - 2; randsample(1:4, ng)] + rand(nd,1) - rand(nd,1); %random goal po... |
%% INPUT FILE for FES software
mesh_input = 'square04x04';
reference_geometry = 'quad'; % (2d) quad (3d) cube , circular, complex
element_type = 'QUAD4';
physics = 'thermo_elastic';
n_dim = 2;
node_p_el = 4;
int_rule = '2x2';
disp = 0.01;
Tinc = 1;
dt = 0... |
X = [ 3 -3.8 -1.8 -1.1 -3.2 -4.8; ...
2.4 0.2 0.4 -0.9 -2.5 4.2];
T = [0 1 1 1 1 0];
% hardlim Ступенчатая функция с жесткими ограничениями
% learnp Абсолютная функция настройки
net = perceptron('hardlim', 'learnp');
display(net);
net = configure(net, X, T);
W = rand(1,3) * 10 - 5
net.IW{1,1} = W(1:2);
net.b{1} ... |
% auto scan, Wentao Jiang, 180721
%% parameters and initialize stage
% comment on stages:
% x: move chip up/down, positive dx <-> up <-> right arrow on
% keyboard for python GUI
% y: move chip towards/away from fiber, positive <-> closer <-> up
% arrow on keyboard
% z: move fiber... |
function LUT = galvoLoadLUT()
LUT = dlmread('C:\Program Files\National Instruments\LabVIEW 2016\vi.lib\RAS\voltsLUT.dat');
end |
% Tanvir Ferdousi
% Kansas State University
% Last Modified: Sep 2018
% Copyright (c) 2019, Tanvir Ferdousi. All rights reserved.
% Redistribution and use in source and binary forms, with or without
% modification, are permitted
% Creates a GEMF compatible data structure using host model parameters
function Para=Para... |
clear
clc
N_number=300;
bf = (53.19-3.9)/2;
bs=bf/cos(0.5542);
dx = bs/(N_number-1);
x = 0 : dx : bs;
load('N.mat')
%choice of 3
l=0;
c=3.85839;
N=bendMoment(1)/(c*1);
k=0;
ratio=0.55;
n=35;
b_box=1;
D=1;
b=c/(n+1);
c_box=3.85839;
F=0.7;
E=7.6*10^(10);
while l < bs
k=k+1;
t=((N/(3.62*E))*(b^2))^(1/3);
s... |
A = tBenchMarkTemperatureController.tModel.aafA;
B = tBenchMarkTemperatureController.tModel.aafB;
C = tBenchMarkTemperatureController.tModel.aafC;
E = tBenchMarkTemperatureController.tModel.aafE;
for iTimeStep = 1 : tBenchMarkTemperatureController.iPredictionHorizon
%
tBenchMarkTemperatureController.tSimulation.aafS... |
%% Empirical Bayes Missouri Cancer Example
% Johnson and Albert p67, p24
%#testPMTK
%% Setup Data
data.y = [0 0 2 0 1 1 0 2 1 3 0 1 1 1 54 0 0 1 3 0];
data.n = [1083 855 3461 657 1208 1025 527 1668 583 582 917 857 ...
680 917 53637 874 395 581 588 383];
X = [data.y(:) data.n(:)-data.y(:)]; % EB matrix of... |
%Arjovsky-94881-Tarela-18/6/2014
clear();
%Espesor: 25,4 milimetros.
global rExt = 122.23750;
global rInt = 96.83750;
%padron: 94881.
global TExt = 81.0;
global TInt = 948.0/6.0;
%Euler. f(y,t) es un function handler, h es el paso. t es un vector con la grilla de la variable independiente.
function y = Euler (f, h... |
function inputs = func_inputs_gen(n,seed_gen,base,nx,ny)
rng(seed_gen);
base_empty=isempty(base);
if base_empty %initial loop
% one filled
inputs_1=zeros(nx*ny,nx,ny);
for j=1:nx*ny
inputs_1(j,j)=1;
end
% now we have nx*ny+1 samples
% more filled
n_more=n-nx*ny-1;
if ... |
% I thank
% http://blogs.mathworks.com/steve/2013/06/25/homomorphic-filtering-part-1/
% for this code. :D
% read the image
I = imread('page.png');
figure, imshow(I);
% the image might be a color image, so we convert it to greyscale
%I = rgb2gray(I);
% convert the image to floating-point type from uint8(which is defa... |
function [T,Y] = makeIdealPuls( fs,timeLast,varargin )
%
midVal = 0.5;
pp = 1;
isShowFig = true;
isXcorr = true;
savePath = '';
while length(varargin)>=2
prop =varargin{1};
val=varargin{2};
varargin=varargin(3:end);
switch lower(prop)
case 'isshowfi... |
function [T,I,Y]=perfusionResponseP2X4StackDeMix5(y0,ton,toff,Ttot)
ode=modelODEP2X4StackDeMix5(ton,toff);
[T,Y]=ode15s(ode,[0 Ttot],y0,odeset('NonNegative',1:33));
I=getTotalCurrentP2X4StackDeMix5(Y);
end |
function [P, minP, maxP, Ppol] = cellWindow2(type, r, rCenter)
%CELLWINDOW Computes coordinate offsets of a cell window of some type and
%radius
if ~strncmp(type,'polar',5)
r = ceil(r);
uniqueR = unique(r,'rows','stable');
Pdata = cell(size(uniqueR,1),1);
sizes = ones(size(uniqueR,1),3);
map =... |
%Dönem Sonu Projesi 5
clear all;
pkg load image;
A1 = imread ('C:\Users\HP\Desktop\GoruntuIsleme\yesiltop5.jpg');
figure 1,imshow(A1); title('İlk Hali');
A2 = rgb2hsv(A1);
sat=size(A2)(1);
sut=size(A2)(2);
A=uint8(255*A2(:,:,1));
esik=66;
A3=0;
for i=1:sat
for j=1:sut
if A(i,j)>esik
A3(i,j)=1;
else
A3... |
function [softmax_h, h2sInfo] = attnLayerForward(h_t, params, model, trainData, tgtPos)
%%%
%
% Attentional Layer: from lstm hidden state to softmax hidden state.
%
% Thang Luong @ 2015, <lmthang@stanford.edu>
%
%%%
h2sInfo = [];
curMask = trainData.curMask;
if params.attnGlobal % global
srcHidVecs = trainDat... |
clc
clear
params.pix_shift_x = 2;
params.pix_shift_y = 1;
params.thresh_bin = 4;
params.gauss_sigm = 3;
data_file = 'datasets/data_30Aug_2';
% img_base = imread('datasets/data_14Sep_2/us_image051.jpg');
figure('Name','base image | segmentation')
imageList = dir(strcat(data_file,'/*.jpg'));
for i=1: size(imageList... |
function [bestIdl,bestModel] = runVbFret(data) %, vb_opts_in, PriorPar_in)
% runVbFret Idealize traces using the vbFRET program.
%
% [IDL,MODEL] = runVbFret(DATA) run's Bronson et al's vbFRET program to
% find optimal models and state assignment traces for each input FRET trace.
% DATA may be a matrix, TracesF... |
function randomGBSAA = RandomGBSAA(noOfUAV,a,b)
%a=0.000000;
%b= 0.160999; % RANGE OF THE TIME INTERVAL
randomArrival = (b-a).*rand(noOfUAV,1) + a;
%x = sort((b-a)*rand(n,1)+a,'ascend' or 'descend');
%randomArrival
for n = 1: length(randomArrival)
firstpacketarrival = randomArrival(n);
for k = 1 : length(rand... |
function res = bcsme(ya,yb)
res =[ya(1)-1;
ya(2)-1;
ya(3)-1;
ya(4)+10;
yb(5)-yb(3);]; |
% From slides:
% The command to load an image is imread
% To show an image, use the command imshow
clear all;
clc;
I = imread('greens.jpg');
imshow(I);
% Check I in the Workspace:
disp(size(I)); % 300 500 3 - NB Matlab uses height x width
disp(class(I)); % uint8 - 8 bit precision integers
% red channel
imshow(I(:... |
function [ P ] = outer( f, X, Y )
%OUTER Summary of this function goes here
% Detailed explanation goes here
P = zeros(length(X), length(Y));
for i = 1:length(X)
for j = 1:length(Y)
P(i, j) = f(X(i, :), Y(j, :));
end
end
end
|
function sig_build()
% ----------------------------------------------------------
% Create Simulink Signal Builder Block from Excel data file.
%
% Each xls sheet is used to create a signal builder group
% Time vector must be in the first column.
% Each sheet must contain the same signal type (name & number)
% ... |
function x_dot = Dynamics(~, x, u, model)
Vc = x(2);
Tc = x(3);
Ts = x(4);
R1 = getParamESC('RParam',Tc,model); % RC circuit resistance
tau = getParamESC('RCParam',Tc,model); % RC time constant
C1 = tau/R1; % RC circuit capacitance
Q = getParamESC('QParam',Tc,model); % Battery capacit... |
J = 0.1;
b = 1;
K = 100;
H1 = tf(K);
H2 = tf([10],[0.5 1]);
H3 = tf([1],[J,b])
H = feedback(H1*H2*H3, 1);
zpk(H)
step(H)
pzmap(H);
[wn, zeta] = damp(H)
sigma = wn(1)*zeta(1)
wd = wn(1)*sqrt(1 - zeta(1)^2)
|
%Create random trace to initialise AI learning
close all
clear all
endTime=16
timeStep=0.01
Period=0.8;
Ampmax=0.01;
delay=3;
Time=(0.0:timeStep:endTime)';
pkg load signal
%Wavegroup
Amp=[0.007 0.007 0.007];
Period=[0.7 1.15 1.3];
%phase=Period/(0.25*pi)-2*pi./Period*8
phase=Period/(0.25*pi)
Elevation=zeros(length(Time... |
% Robin Touche 900610-3270 robint@student.chalmers.se
% Takes a value and returns the next iterator value
function newValue = NewtonRaphsonStep(oldValue, fPrime, fSecond)
newValue = oldValue - (Polynomial(oldValue, fPrime) / Polynomial(oldValue, fSecond));
|
%%This script initializes the geometries for the permanent magnet
%%configuration, superconductor configuration, and the electromagnet
%%configuration. In the bigger picture, this will feed the physical
%%parameters needed to simulate dynamics and generate commanded torques.
%% OS geometry
%%calculate permanent magne... |
function [predictProbLearning,predictProbTest,predictClassTest,depTestSVM]= ...
runSVM(depLearning,explLearning,explTest,depLearningQual,depTest)
%% Training SVM
%SVM predictions lead to NaN if a value of a categorical predictor of the test explicative variables is not in the values
%of th... |
function train_CharCnn(varargin)
% EXERCISE4 Part 4 of the VGG CNN practical
setup ;
% -------------------------------------------------------------------------
% Part 4.1: prepare the data
% -------------------------------------------------------------------------
% Load character dataset
imdb = load('d... |
% trim Remove points from data cloud
%
% This method removes points from a data cloud. Simple calls:
% object=trim(object);
% remove points where any variable is infinite or NaN. Cloud points may
% also be removed by passing a logical array; true values indicate points
% to be removed .
% object=trim(object,dro... |
function [accuracy, cm] = get_frame_by_frame_accuracy(labels, detections, give_factor)
[labels_smooth,detections_smooth] = deal(zeros(1,numel(labels)));
[bl,bd,el,ed] = frames_to_sequences(labels, detections, give_factor);
for i = 1:numel(bl)
labels_smooth(bl(i):el(i)) = 1;
end
for i = 1:numel(bd)
de... |
function H = hess_beale(x)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
x1 = x(1);
x2 = x(2);
h11 = 2*(x2^6) + 2*(x2^4) - 4*(x2^3) - 2*(x2^2) - 4*x2 + 6;
h22 = 30*(x1^2)*(x2^4) + 12*(x1^2)*(x2^2) - 12*(x1^2)*(x2) - 2*(x1^2) + 31.5*x1*x2 + 9*x1;
h12 = 12*x1*(x2^5) + 8*x1*(x2^3) - 12*... |
%this plot function plot Time Domain Maps tau vs t for T_increment of
%T_vector and phase-cycling step pcstep
function plotfunction_Time_Domain_maps(TimeDomainData,tau_vector,T_vector,t_vector,pcstep,T_increment,operation,...
Contour,...
Time_data_contour,...
tau_vector_contour,...
T_vec... |
function [t w]=calc_sRK4(y0,h)
%
% This code implements the classical four stage fourth order
% Runge Kutta method to solve an ODE system.
%
m=2;
nstep=40/h;
%
w=zeros(nstep+1,m);
t=zeros(nstep+1,1);
t(1)=0;
w(1,1:m)=y0;
%
p=4;
d=[0, 1/2, 1/2, 1 ];
c=[0, 0, 0, 0 ;
1/2, 0, 0, 0 ;
0, 1/2, 0, 0 ... |
function [cto_mech_voigt,cto_ther_voigt,sigma_voigt,sigma] = mat_thermo_elast_neoh(sys_vars,F,J,T_new,debug,file01)
n_dim = sys_vars.n_dim;
kappa = sys_vars.mat_para.kappa;
G = sys_vars.mat_para.G;
T0 = sys_vars.mat_para.T0;
alpha = sys_vars.mat_para.alpha;
%% Geometric calculations
C = F'*F;
[N,lambda_sq] = ... |
function ex=alignEvents(ex,varargin)
%function ex=alignEvents(ex,alignCode,alignLock,alignOffset,startCode,startLock,startOffset,stopCode,stopLock,stopOffset)
%function ex=alignEvents(ex,alignCode,alignLock,startCode,startLock,stopCode,stopLock)
%function ex=alignEvents(ex,alignCode,startCode,stopCode)
%function ex=ali... |
function varargout = robot(varargin)
% ROBOT MATLAB code for robot.fig
% ROBOT, by itself, creates a new ROBOT or raises the existing
% singleton*.
%
% H = ROBOT returns the handle to a new ROBOT or the handle to
% the existing singleton*.
%
% ROBOT('CALLBACK',hObject,eventData,handles,...) cal... |
function FIR_multiplot (output_dir,dataFiles, dataExt, legendTexts, titleText, saveName)
% FIR_multiplot (output_dir,dataFiles, dataExt, legendTexts, titleText, saveName)
%
% plots multiple FIR responses on the same graph. The plots are saved as
% pdf files. Gets data values from either .fig files or .csv files.
%
%
... |
function[obj,flag] = setupSerial(comPort)
% It accept as the entry value, the index of the serial port
% Arduino is connected to, and as output values it returns the serial
% element obj and a flag value used to check if when the script is compiled
% the serial element exists yet.
flag = 1;
% Initialize Serial object
... |
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