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classdef SLSDesign < handle
%SLSDESIGN class of a robust MPC problem equipped with robust SLS,
%tube MPC and dynamic programming (DP) methods.
% Task: solve a robust optimal control problem (OCP) in each MPC loop
% Consider robust closed-loop OCP of the uncertain system with given
% x(0) and h... |
%% Clustering
load clusterData.mat
%% UBClustering
K = 4;
nModels = 20;
model = clusterUBClustering(X,K,nModels);
cluster = model.clusters;
%% Make plot
clf;
hold on;
colors = getColorsRGB;
symbols = getSymbols;
h = plot(X(cluster==0,1),X(cluster==0,2),'.');
set(h,'Color',[0 0 0]);
for k = 1:K
h = plot(X(clust... |
function [ ModXDispNorm ] = ImportModalDisp (ModNr,sel_torque,PathName)
% ImportModalDisp: imports displacements for spesific modeshape
% surfaces. If possible the elmenets are also imported
% INPUTS:
% ModNr : Mode number
% sel_torque : Select torque level ['7NM' , '20NM']
% PathName : path were ... |
% This code formulates and solves a random linear programming problem
% utilizing the simple interface.
% -------------------------------------------------------------------------
% Copyright (C) 2018-2020 David Papp and Sercan Yildiz.
%
% Redistribution and use of this software are subject to the terms of the
% 2-Clau... |
image = imread('riceblurred.png');
stretched_Image = imadjust(image, stretchlim(image, [0.05, 0.95]),[]);
subplot(2,2,1), imshow(image), title('Original Image');
subplot(2,2,2), imshow(stretched_Image), title('Strethced Image');
subplot(2,2,3), imhist(image), title('Histogram of Original Image');
subplot(2,2,4), imhi... |
function quantitColocalis(image_label,start_frame,end_frame)
%
% Isabel Llorente Garcia: August 2011.
% If you use this code please acknowledge Isabel Llorente-Garcia in your
% publications.
%
% Quantitative measure of colocalisation.
% Calculation of M1 and M2 colocalisation coefficients according to paper
% Biophys. ... |
%f_d = speed2doppler(v, f_c, vunit = 'kmph')
%
% Calculates Doppler frequency from velocity and
% carrier frequency for moving transmitter.
%
% Arguments:
% v - transmitter speed
% f_c - carrier frequency in Hz
% vunit - unit of v ('kmph', 'mps')
%
% Returns:
% f_d - Doppler frequency in Hz
% Copyright 2... |
function y=nrmse3(Vx,Vy,Vz,u,v,w)
%3D version of nrmse
y=(norm(Vx(:)-u(:))^2+norm(Vy(:)-v(:))^2+norm(Vz(:)-w(:))^2)^0.5/(norm(u(:))^2+norm(v(:))^2+norm(w(:))^2+eps)^0.5;
end |
% Example 3.16
%
clf reset
figure(gcf)
setfsize(500,200);
echo on
%NEWFF — 建立一个BP网络
%TRAIN — 对网络进行训练
%SIM — 对网络进行仿真
pause
P = -1:.1:1;
T = [-.9602 -.5770 -.0729 .3771 .6405 .6600 .4609 ...
.1336 -.2013 -.4344 -.5000 -.3930 -.1647 .0988 ...
.3072 .3960 .3449 .1816 -.0312 -.2189 -.3201];
plot(P,T,'+... |
function confusiontable(ConfusionMat)
%=========================================================================%
% 根据confusionmat绘制table表 %
%=========================================================================%
% Description:
% 根据类标签，统计类的数量和占比并绘图
%-------------... |
% t1_move_piece.m is used for task 1
% the gamestate struct must be checked to find the type of piece present
% using a switch case to choose the piece present.
% after determining the piece type, call one of the valid_x functions
% corresponding to the type of piece.
% check the global output value, if it is a 1,... |
reg_results = load(fullfile(files_path, 'postprocessed_data', 'ephys_regression_results.mat'));
nUnits = length(reg_results.bad_glm);
nRegs = 10;
window_size = 1;
%% Compute port-entry CPDs for each regressor
for unit_i = 1:nUnits
loaded = load(fullfile(files_path, 'postprocessed_data', 'circshift_SSEs', ['ci... |
close all;
clear all;
%% import data
%This dataset (2014) has a measurement for every 3 hour.
% Temperature, RH, O3 and NOx have been measured once every hour
% column 1 - 6 is the year, month, date, hour, minute, sec
CS_file = load(['C:\Users\mette\Documents\MATLAB\Hyytiälä\Hyde_Condensation_sink_1996_2016.da... |
function [total_reward, global_step_out, epsilon,bump,final_state,action_traj,car_traj,veh_traj,action_map ] ...
= episode_run( gamma, epsilon_init, learning_rate, action_list,...
q_network,...
... |
clear all;
% Create the mapping table first by running
load FileWav16kHz
trainfilelist;
% see create_gmm for what to be loaded by FileWav16kHz
% iTask = 0; Task = 'Native'; IdxSet = 1:5; % My Computer(0) test
% iTask = 1; Task = 'Native'; IdxSet = 6:130; % My computer (1)
% iTask = 2; Task = 'Native'... |
function [a, cache] = conv_relu_pool_forward(X, W, b, conv_param, pool_param)
% conv
[a, cols] = conv_forward(X, W, b, conv_param);
X_conved = a;
% ReLU
a = max(0, a);
X_relued = a;
% max-pooling
% [a, max_ind] = max_pool_forward(a, pool_param);
[a, max_ind] = MaxPooling(a,... |
function [pbrtMaterial, pbrtTextures] = mPbrtImportMexximpMaterial(scene, material, varargin)
%% Convert a mexximp material to an mPbrt MakeNamedMaterial element.
%
% pbrtMaterial = mPbrtImportMexximpMaterial(scene, material) cherry picks
% material properties from the given mexximp material and scene and uses
% these ... |
close all
clearvars
clc
h=[25 50 70 100 150 200 250 500];
m=[1.26 1.325 1.33 1.34 1.32 1.321 1.322 1.37];
%interpolacja
figure;
hh = 1:1:500;
mm = interp1(h,m,hh);
plot(h,m,'rd');
hold on;
plot(hh,mm);
%funkcje sklejane
figure;
s=spline(h,m);
mm=ppval(s,hh);
plot(h,m,'rd');
hold on;
plot(hh,mm);... |
function dist12=gp_dist(x1,x2)
% Euclid dist between x1 and x2
% x1 d*N1
% x2 d*N2
x12=sum(x1.*x1,1);
x22=sum(x2.*x2,1);
%
dist12=x12'*ones(1,size(x2,2))+ones(size(x1,2),1)*x22 - 2*x1'*x2;
|
function result=Rosenbrock(x)
%Rosenbrock 函数
%输入x,给出相应的y值,在x=(1,1,…,1) 处有全局极小点0,为得到最大值，返回值取相反数
%编制人：
%编制日期：
[row,col]=size(x);
if row>1
error('输入的参数错误');
end
result=100*(x(1,2)-x(1,1)^2)^2+(x(1,1)-1)^2;
result=-result; |
function x=sylvester3(a,b,c,d)
% solves a*x+b*x*c=d where d is [n x m x p]
% Copyright (C) 2005-2017 Dynare Team
%
% This file is part of Dynare.
%
% Dynare 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, eit... |
function [MM] = fGMBeamStandaloneSimplified(s_G,s_span,m,U)
% Performing full integration of mass matrix without shape integral functions
% for a beam
%
% INPUTS
% - s_G : [m] 3 x nSpan, location of the cross sections COG points, when the beam is undeflected
% - s_span : [m] span integration variable (e.g. s_G(1,... |
syms s;
s=tf('s');%tf表示传递函数
%G=1/(s^2+0.3*s+1);
figure(1);
%subplot(321)
GH=-(s-1)/(s*(s+2))%*(s*s+4*s+20));%GH为开环传递函数
rlocus(GH);
%grid; |
classdef FDN < handle
properties
% 4 separate mod delays
M = 4; % # of delay blocks
delay = cell(4,1);
% d = [521; 607; 738; 869]
fb = cell(4,1);
gain = 0.5;
%D = [0 1 1 0;
% -1 0 0 -1;
% 1 0 0 -1;
% 0 1 -1 0];
... |
function [ answer , LDAEgn , egnValSort , varargout] = myLDA_Yale_EXP3( testing , trn , trnGroup , varargin ) % trn: each row is an observation, trnGroup: nominal or double
% if the length of your vectors is very large, you may need to use PCA beforehand. In this case you can also use the PCA which is inside "myLDA"... |
function [ret,x0,str,ts,xts]=simexa22(t,x,u,flag);
%SIMEXA22 is the M-file description of the SIMULINK system named SIMEXA22.
% The block-diagram can be displayed by typing: SIMEXA22.
%
% SYS=SIMEXA22(T,X,U,FLAG) returns depending on FLAG certain
% system values given time point, T, current state vector, X... |
function testStrip = KFTest(trackers, testFrames)
testStrip = InitStrip();
[N, ~, ~] = size(testFrames);
for i = 1:N
frame = squeeze(testFrames(i, :, :));
testStrip = MeasurePositionTest(frame, testStrip);
end
testStrip = MeanPositionTest(testStrip);
nTracker = length(trackers... |
%% demo using sampled NCM to estimate proportion on Pavia University dataset.
% Author: Alina Zare et al. Rewriten by Sheng Zou
% Department of Electrical and Computer Engineering, University of Florida
% 09/07/2017
clear;
load('PaviaU.mat')
data = EF_reshape(paviaU);
dim = size(data,1);
M = 4; % number of endmembers
[... |
function [r_array,raw_y] = adpcm_decoder(adpcm_y,fsample)
% This m-file is based on the app note: AN643, Adaptive differential pulse
% code modulation using PICmicro microcontrollers, Microchip Technology
% Inc. The app note is avaialbe from www.microchip.com
% Example: Y = wavread('test.wav');
% y = adpcm_... |
function results = fullCellIntensity(dataSet_label,image_label,start_frame,tsamp,roi,output_label)
%
% Created by Isabel Llorente-Garcia, June 2012.
% If you use this code please acknowledge Isabel Llorente-Garcia in your
% publications.
%
%
% This function looks at the integrated intensity of a whole bacteria cell
%... |
function [sys, x0, str,ts] = f18_sfcn(t, x ,u, flag,x0,opts)
%
%
% This is a S-function representation for the plant described in
% f18full.m .
% This S-function is used for trimming and linearizing the aircraft.
% This S-function is being called in the f18_trim.mdl file.
%
% Abhijit 11/12/2009
switch flag
... |
close all;
clear all;
%% Data Received
N_samps=55680;
fid1=fopen('received.dat','r');
x_rec=fread(fid1, N_samps,'short');
fclose(fid1);
xComplex_rec= zeros(1,N_samps/2);
count = 1;
for i=1:2:N_samps
xComplex_rec(count) = complex(x_rec(i),x_rec(i+1));
count = count+1;
end
length(xComplex_rec);
figure(1)
su... |
% This program computes the value of the Gene Ontology Term Overlap function
% between genes is the same cluster (molecular function)
% For specific details on the underlying methods:
%
% https://arxiv.org/abs/1703.02872
%
%
% Copyright (c) 2017 Nuno R. Nene, University of Cambridge
% Email: nunonene@gmail.c... |
function [] = single_cell_analyze_chromvar_deviation_Tcell2(args1)
a = readtable('../../data/input/Figure5/SRR161517_naive_Th1_Th2_mRNA_rep1_2.txt','Delimiter', '\t');
tcell_gene = table2array(a(:,1));
tcell_rpkm = table2array(a(:,2:7));
import bioma.data.DataMatrix
DM0 = DataMatrix(log2(tcell... |
%submit Mouselab learnign simulations to Savio
nr_conditions=3;
nr_reps=20;
for r=1:nr_reps
for c=1:nr_conditions
job=['simulateMouselabLearningSavio(',int2str(r),',',int2str(c),',true)'];
job_name=['Mouselab_learning_simulation_c',int2str(c),'_r',int2str(r),'_withPR.m'];
submitJob2Savio(jo... |
function m_NormElem = f_NormInterTriang(s_archDat,m_setInterf)
%Función para el cálculo exacto de las normales de las interfaces formadas por elementos triangulares.
%Tiene que agregado todos los path del programa.
%La lógica que se usa es que el lado que tiene como elemento vecino un material distinto al d... |
load 'temp.mat';
geom = loadProjectionGeometryCT( p );
n0 = 1e6;
spectrum = loadSpectraCT(p, geom, n0);
tubeCurrentProfileFilename = 'tubeCurrentProfile_v4-XCAT-lung_kVp119.0_FLUX1e+06_BOWT1_ACE1.00_EID1_NOISE1_sim2.raw';
fileID = fopen(tubeCurrentProfileFilename, 'r');
tubeCurrentProfile = fread(fileID, Inf, '... |
function [ R, n ] = zeroElimMedianHoleFill( I )
n = 1;
R = zeroElimMedianFilter(I);
hasHoles = ~all(all(R));
while hasHoles
R = zeroElimMedianFilter(R);
hasHoles = ~all(all(R));
n = n + 1;
end
end
|
function s = loadFull(matname)
load(matname);
load(strrep(matname,'.mat','.idx'),'-mat');
s = struct('data',{data},'index',{index},'symbol',{symbol});
end
|
a = [1 -3 4 -5;2 4 6 8 ;4 3 2 1 ; 5 3 1 -3];
b = [-11 42 -11 -38]';
a(:,length(a)+1)=b; % arttırılmış matris oluşturuldu.
[rows cols]=size(a);
for i=1:cols
for j=i+1:rows
tmp=a(i,:).*(-a(j,i)/a(i,i));
a(j,:)=tmp+(a(j,:));
end
end
for i=length(1:rows)-(1:rows)+1
if(i<cols-1)
... |
function [ modif ] = FunctionEx3( img, canal )
modif = zeros(size(img,1),size(img,2),size(img,3),'uint8');
modif(:,:,canal) = img(:,:,canal);
end
|
% Die Messungen werden von Git ignoriert, da die Dateien einfach zu gro? sind.
% Die Messung findet man unter: https://cloud.andrewdelay.com/index.php/s/FsTtRdeLLHWsP2p
% Im Ordner LR_dspace\ControlDesk_Gruppe2\Experiment_Gruppe2\Measurement Data
data = load('RiccatiRegler.mat');
data = data.RiccatiRegler;
LEG_FONT_S... |
clear all
clc
format long
%N=100
M=2; N=4
A=[zeros(1,N-1) 0; eye(N-1) zeros(N-1,1)]; % stem
N=length(A);
B=rand(N,M);
x0=rand(N,1);
tf=1
% WB0=zeros(N,N);
% ot=0.025;
% for k=1:tf/ot
% WB0=WB0+expm(A*(ot*k))*B*B'*expm(A'*(ot*k))*ot;
% end
% C0=pinv(WB0);
syms t s real
p=simple(expm(A*t));
pf... |
function [L, U, X] = DLU_fact(A,B)
% This function perfoms Doolittle LU Factorization
% B = matrix of solution vectors
%Allocation of space and setup
U = A; %allocate space for U
X = B; %allocate space for X
n=size(A,1); %number of unknowns
m = size(B,2); ... |
%Copyright Andreas Mihalea Gr. 104 2019 Exemplu 5 din curs
clear
close all
m=input('Pozitia balizei:');
format long
hcil=19;
dco=25;
rco=dco/2;
Dco=46;
Rco=Dco/2;
hcon=14;
hmax=Dco+dco;
if(m<=hcil)
Vtra=pi*(rco^2)*m;
fprintf("Volumul apei este %d m3",Vtra);
end
if (m>=hmax)
Vcon = pi*hcon*(... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Chaotic Evolutionary Particle Swarm Optimization
% Author: Phillipe Vilaça Gomes
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Fit_and_p, sol, fitMaxVector, Best_otherInfo] = ...
EPSOu(epsouParameters,caseStudyDa... |
function resetPursuerEvader(varargin)
%resetPursuerEvader(varargin)
%
%This function erases all state.
%
global PURSUER_EVADER
global NETWORK_MOTE_IDS
global MAX_NETWORK_DIMENSION
%initialize the locations where we store measurements
if ~isfield(PURSUER_EVADER,'pursuerMeasurements')
PURSUER_EVADER.pursuerMeasurem... |
function plottruss(xyz,topo,eforce,fbc,rads,pltflags)
%function plottruss(xyz,topo,eforce,fbc,rads,pltflags)
%----------------------------------------------------
%
% plot 3-truss, bars colored accoring to force
% supported nodes are plotted in red
% non-supported nodes are plotted in black
%
% Input: xyz... |
clear all
clc
syms x
disp('DIFERENCIAS DIVIDIDAS')
valor=input('Valor a interpolar x: ');
datos=input('Datos Ordenados[X0 X1 X2 ... Xn]: ');
longitud=length(datos);
% fun=input('Valores F(x) [F(X0) F(X1) ... F(Xn)]: ');
f=input('Función f(x): ');
fun=double(subs(f,datos));
DD=zeros(longitud);
DD(:,1)=fun';
for j=2:long... |
% Author:Eduardo Alho
%Date:13/03/2017
%Uses k-means clustering for histology segmentation
%root_dir: directory where images are
%sigma= standard deviation of gaussian distribution for gaussian blur
%filter, for blockface segmentation 5 is a good start (more blur with
%higher numbers)
%clusters: number of color cluste... |
function summary = PWSummarize(basedir, num)
% num participating senders
% num packets sent
% num bytes sent
% num packest received
% num bytes received
for i= 1:num
cd(basedir);
data = load (sprintf('Experiment_%d.txt', i));
summary(i,:) = [i ...
sum(data(:,2)) ...
sum(data(... |
function [weights,used,sigma2,errbars,basis,selected,alpha,lambda] = FastLaplace(PHI,y,sigma2,eta,lambda_init, adaptive,optimal,scale, verbose)
% This code implements the fast Laplace algorithm from the following paper:
% [1] S. D. Babacan, R. Molina, A. K. Katsaggelos. “Bayesian Compressive Sensing using Laplace Pri... |
% $FILENAME$ short description
%
% SYNTAX
% [output] = $filename$(M)
%
% INPUT PARAMETERS
% M: mesh in patch format with the following additional subfields
% - M.FA:
% - M.FN:
%
% OUTPUT PARAMETERS
% output: output description
%
% DESCRIPTION
% Exhaustive and long description of functionality of $filena... |
close all;
td = load('testdata7.txt');
[td_tols, idx] = sort(td(:,4));
td_errs = td(idx,5);
semilogx(flip(td_tols),1:length(td(:,1)),'ro')
hold on
semilogx(flip(td_errs),1:length(td(:,1)),'b*') |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Wenan Chen
%% September, 2007
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% This function tries to finds midline of a CT image
function [rota_img, rota_seg, rtv, xy1_bump, xy1_linept]=find_midline(A)
%% input: a rgb image or a gray scal image
%%
%% output:... |
function opticFlowCalc(parentDir)
%============================================================================================================================
% CALCULATE MEAN OPTICAL FLOW
% Calculates the mean optic flow across each frame of each video from the fly behavior camera. Returns an nx1 cell array with
% a ... |
function out = arbirand(p,n)
%out=drnd(p,n)
%copyright: rocwoods
%p is the probility distribution vector
%n is the num of samples you hope to generate
a = cumsum( p(2,:) )
b = rand(n, 1)
out =zeros(1, n);
for k = 1:n
c = find( a<b(k) )
if (isempty(c))
out(k)=p... |
function [charAcc, wordAcc] = ScoreModel (words, imageModel, pairwiseModel, tripletList)
% This function runs the Markov network model end-to-end and computes the
% per-character and per-word accuracy on provided data.
%
% Input:
% words: A cell array where words{i} is the struct array for the ith
% word (this is... |
function cifrado = cifr_mochila(s, texto)
%cifr_mochila - Description
%
% Syntax: cifrado = cifr_mochila(s, texto)
%
% Funcion para cifrar un mensaje con una mochila
% (no tiene por qué ser supercreciente)
%
% Entradas: s: mochila
% texto: texto a cifrar
%
% Salida: vector numérico que se corresponda con el... |
function dataset = createDataset(dataFile)
import AMF.*
specification = feval(dataFile);
if isfield(specification, 'DESCRIPTION')
description = specification.DESCRIPTION;
else
description = [];
end
if isfield(specification, 'TYPE')
type = specification.TYPE;
else
type = [];
end
if ~isfield(specific... |
function list_contains = str_list_contains(list,patterns)
% make case insensitive
list = lower(list);
patterns = lower(patterns);
if ~iscell(patterns)
patterns = {patterns};
end
list_contains = false(numel(list),numel(patterns));
for i=1:numel(patterns)
list_contains(:,i) = cellfun(@(str) any(strfind(str,pat... |
function [pnsP,fP] = feedbackPressureBound3(Bn,QtA6,pns,P,k)
c = [4.26e-4;4.31e-4;4.27e-4]; % mm^3 s kg^-1
a = 0;
f = QtA6*1e-3; % mm^3 / s
model = createpde(); importGeometry(model,'brain3D.stl');
specifyCoefficients(model,'m',0,'d',0,'c',c,'a',a,'f',f);
h = generateMesh(model,'Geometr... |
function plotdata=plotERAperture(lindata,ring,dpp,varargin) %#ok<INUSD>
%function plotdata=plotERAperture(lindata,ring,dpp,varargin) %#ok<INUSD>
%
% Plots RApertures EApertures aperture.
%
% use with atplot(atlattice,@plotAperture);
%
rapind=findcells(ring,'RApertures');
eapind=findcells(ring,'EApertures');
xm=getce... |
## Arthur Pessoa de Souza 380075
clc;
close all;
clear all;
lena=imread("4.2.04.jpg");
ruido=imread("lena14.jpg");
subplot(2,3,1),image(lena);
subplot(2,3,2),image(ruido);
x=fft2(lena);
y=fft2(ruido);
for i = 1:512
for j = 1:512
z(i,j) = (real(x(i,j))^2 + imag(x(i,j))^2)^0.5;
endfor
endfor
for i = 1:512
for... |
function surfaceArea = meshSurfaceArea(FV)
faces = FV.Faces;
verts = FV.Vertices;
a = verts(faces(:, 2), :) - verts(faces(:, 1), :);
b = verts(faces(:, 3), :) - verts(faces(:, 1), :);
c = cross(a, b, 2);
surfaceArea = 1/2 * sum(sqrt(sum(c.^2, 2)));
end |
function T=cp_to_ten(params,x)
if nargin>1
params.factors{params.current_factor}=reshape(x,params.dimensions(params.current_factor),params.rank);
end
if(params.order==1)
T=params.factors{1};
else
T=cpdgen(params.factors);
end
|
function[x, uu, tt] = n1_ks(N, m, Tf, p)
% This functions solves the PDE
% u_t = uu_x - u_{xx} - u_{xxxx}, x \in (0, 32*pi)
% u(x, 0) = cos(x/16)*(1 + sin(x/16))
% and periodic boundary conditions with 2nd order centred differences in
% space and first order null scheme in time.
%
% Key features:
% + 4th orde... |
% Test Cases:
[winner1] = civilWar('Captain America', 'Iron Man');
[winner1_soln] = civilWar_soln('Captain America', 'Iron Man');
% winner1 => Player 1 wins!
%
[winner2] = civilWar('Hawkeye', 'Black Panther');
[winner2_soln] = civilWar_soln('Hawkeye', 'Black Panther');
% winner2 => Player 2 wins!
%
[winner3] = ci... |
% METHOD TAKEN FROM
% http://www.csse.uwa.edu.au/~ajmal/code/icp.m
function [ R, t, corr, q ] = ICP(p, q, tol)
%initialise
c1 = 0;
c2 = 1;
R = eye(3,3);
t = zeros(3,1);
fprintf('Doing Delaunay triangulation:...');
tri = delaunayn(p'); fprintf('DONE\n');
counter=0;
while( c2 > c1 )
tic
... |
%% Learning-by-doing model, Byunghee Choi
clear; clc;
global L rho kappa l v delta beta W0 W1 W2 i1 i2
%% Parameterization
L=30;
rho=0.85;
kappa=10;
l=15;
v=10;
delta=0.03;
beta=1/1.05;
ini_V=ones(L,L);
ini_p=ones(L,L);
new_V=ini_V;
new_p=ini_p;
dist=1;
tol=1e-4;
lambda=0.5; % for dampening
num_iter=0;
%% Compute... |
% trace criteria
% probably not gonna be used in gui
function [div_order,min_trace]=crit_trace(stbc_index,const_index,r)
div_order=diversity_order(stbc_index,const_index,r);
min_trace=min_trace_delta(stbc_index,const_index);
end |
classdef injector < handle
properties
inject_rate
bolus_volume
inject_log
end
methods
function obj =injector(a)
obj.inject_rate = 0.01;
obj.bolus_volume = 0.2;
obj.inject_log = [];
end
... |
function stage = whatstage(image)
%Import the model. Remember to avoid loading it each time
categoryClassifier = importdata('stageClassifer.mat');
%Stage identifier function
%Crop and resize frame
bboxI = [367 3 912 715];
image=imcrop(image,bboxI);
image=imresize(image,0.4);
%predict stage
... |
function makeSimpleGammaLut
bufLUT = (0:255)/255;
bufLUT = bufLUT'*[1 1 1];
bufLUT=bufLUT.^(1/2.2);
save('/home/nielsenlab/stimulator_slave/calibration/general/simpleGammaLut.mat','bufLUT'); |
close all;
clear;
clc;
m = 5;
VISUALIZE = false;
NODES_TO_ADD = 3500;
INITIAL_NODES = 7;
TOTAL_NODES = NODES_TO_ADD+INITIAL_NODES;
SIZE = NODES_TO_ADD+INITIAL_NODES;
graph = GenerateERGraph(INITIAL_NODES, 1);
initialConnections = EdgeList(graph);
numInitialEdges = size((initialConnections),1);
edgeList = zeros(NODES_T... |
function score = computeIntegralImageScores(integralImage,windows)
windows = round(windows);
windows(windows == 0) = 1;
%windows = [xmin ymin xmax ymax]
%computes the score of the windows wrt the integralImage
height = size(integralImage,1);
index1 = height*windows(:,3) + (windows(:,4) + 1);
index2 = height*(windows(:... |
%
% ECEN2060
% Initialize MPPtrackIref
%
global Iref;
global Increment;
global Pold;
Pold = 0; % initial value for the sensed power
Iref = 4; % initial value for the current reference
Increment = -1; % initial direction: decrease reference current |
warning off
rootDir = '/Users/mbu/Documents/fMRI_data/ASL_TMS_project/';
rootDir = '/home/data/asl/';
subjects = [ ...
'100125mh'; % - ok
'100203mh'; % -ok
'100201ra';% - ok
'100208ep';% - ok
'100210ra';% - ok
'100217ep';% - ok
'100308am';% - ok - missing a bit up top
'100317am';% - ok
'100322nt';% - ok
'1003... |
function [feature] = descriptor_mir(gamma, zeta, res, t_end, Fs)
%DESCRIPTOR_MIR Descripteur a partir d'une fonction de la MIRtoolbox
% Renvoie la valeur de la fonction de la MIRToolbox
% Inputs :
% gamma : Paramètre de pression dans la bouche adim
% zeta : Paramètre d'anche adim
% res : Matrice de taille N_MOD... |
function obj = update(obj)
% Biafra Ahanonu
% Started: 2021.03.25 [22:11:25] (branched from ciatah.m)
% Notify user if they are behind version-wise.
ciapkg.io.updatePkg;
uiwait(ciapkg.overloaded.msgbox('The CIAtah GitHub website will open. Click "Clone or download" button to download most recent version of CIAtah... |
%applies Signal_RMS to columns of a matrix
function y = matrix_rms(input, windowlength, overlap, zeropad)
for i = 1:size(input,2);
y(:,i) = signal_rms(input(:,i),windowlength,0,0);
end
end |
% ODE Assignment 2
clear all
close all
clc
clf
%% Logistic equation
% global a b
%
% a = 1; % Scalar constant
% b = 2; % Right hand side
% T = 100;
% tau = [0 T]; % Time vector
% x_init = [0:5]; % Begynnelsevärde
% ri = 0.1;
% K = 10;
%
% f = @(t,x)ri.*x.*(1-x./K);
%
% hold on;
%
% fo... |
clear all
folder_all=dir('./Results-map');
falsefolder=[];k1=1;
for i=1:numel(folder_all)
if folder_all(i,1).name(1)=='.'
falsefolder(k1)=i;
k1=k1+1;
end
end
folder_all(falsefolder)=[];
for j=1:numel(folder_all)
imgpath=['./Results-map','/',folder_all(j,1).name,'/','*.tif'];
allimg... |
function process_fista_neighbor_clust(filename)
% Cluster the events with isosplit5 algorithm, also make sure the labels
% will follow them after events are separated into different files.
S=load(filename);
fista=S.fista;
%data_s=smooth(S.data_pad);
fista.X1_neighbor=zeros(length(fista.X1_max),56);
... |
function VTSoptPath = VTS_makeExperimentOptFile(experiment)
prompt = {'Enter the duration of experiment blank(s)',...
'Enter the number of pre-experiment blanks', ...
'Enter the number of post-experiment blanks', ...
'Enter number of cycles (sweeps) per experiment', ...
'Enter number of tactile st... |
function [ deformed_mesh, rotations ] = deformRotInvCoords( mesh, consF, consP )
%[ deformed_mesh ] = deformRotInvCoords( mesh, consF, consP )
%
% consF: rows of [vtx_i, m11, m12,... m33, weight_i] (m = 3x3 transformation matrix)
% consP: rows of [vtx_i, x, y, z, weight_i]
pcount = numel(mesh.vid... |
%% specify a subset only because 100k takes too long
subset = 1:num_ratings;
userIds = dataset.userIds(subset);
itemIds = dataset.itemIds(subset);
ratings = dataset.ratings(subset);
%% calculate the training error
predicted = BARTMAP_eval(data, result, userIds, itemIds);
errors = predicted - ratings;
%% print some o... |
function [zc,zcg,t,n,del] = threebody(th1,th2,l,zcg1,t1,n1,del1)
% E Kanso, April 22, 2004
% modified April 27, 2004
% -----------------INPUT
%
% zg position of c.o.m of ellipses
%
% beta angle of each ellipse relative to inertial frame
%
% a & b major and minor axes of the ellipse
%
% npts total number o... |
function out = PM_dm(O,Bmstop,data,dataMask)
% if param.B
%
% inFT = fftNc(param.O);
% Bufferdata = inFT(param.Bmstop==1);
% temp1 = param.data.*inFT./sqrt(abs(inFT).^2+param.B.^2);
% param.B = param.data.*param.dataMask.*param.B./sqrt(abs(inFT).^2+param.B.^2);
% ... |
%[x y] = meshgrid(-1000:10:1000); % Generate x and y data
x = 330:530;
y = -230:-30;
[X,Y] = meshgrid(x,y);
for i = 1:1
A = wPlaneCol(i,1);
B = wPlaneCol(i,2);
C = wPlaneCol(i,3);
D = wPlaneCol(i,4);
Z = -1/C*(A*X + B*Y + D); % Solve for z data
A2 = wPlaneRow(i,1);
B2 = wPlaneRow(i,2)... |
function m = initModelStructured(data_train)
%% Parameters for memory allocation
Q = data_train.nLabels; % for unary nodes. we treat the binary nodes separately
Nx = data_train.TT; % total number of feature fectors
D = size(data_train.X,2);
nUnary = Nx*Q;
nBinary = Q^2;
nTotal = data_train.max;... |
clear all
close all
exp_folder = 'D:\GoogleDrive\retina\Chou''s data\20210504';
cd(exp_folder)
load('rr.mat')
load(['Analyzed_data\unsort\0224_cSTA_wf_3min_Q100.mat'])
figure('units','normalized','outerposition',[0 0 1 1])
ha = tight_subplot(8,8,[.04 .02],[0.07 0.02],[.02 .02]);
for channelnumber=1:60
axes(ha(rr(c... |
% Function [CtxSti, ThresholdValue]= HL_FP_ParseSti(CtxSti_ch,sr, ThresholdValue, stimulus_length)
% function to process the recorded stimulus channel data to identify
% sitmulus onset and timing
% INPUT:
% CtxSti_ch: data of the stimulus channel, 1 x n vector
% sr: sampling rate
% ThresholdValue: t... |
% reset order
% for the run about to be completed, clear out any prior responses and run totals
% reset total score
%
% first column in order is blocknum
function order = resetOrder(order,run_num)
%runTotals(subject.run_num) = 0; %reset total points in this run
%range=((run_num-1)*trialsPerBlock+1):(run_num*t... |
classdef imageRegistrationGUI < handle
properties (SetAccess=public)
h
par
end
properties (SetObservable, AbortSet = true, SetAccess=public)
end
properties (Constant)
end
methods
function obj=imageRegistrationGUI() %class constructor
%d... |
%-------------------------------------------------------------------------%
%
% File: W2weight(xc,locpts,Cp,cellradius)
%
% Goal: script that computes the PU weights
%
% Inputs: xc: the collocation points
% locpts: the collocation points on the subdomains
% Cp: centres of the PU subd... |
function p = fhm_params_col(bufSize, s2_type,s2_fSizes,c1sp)
p.groups={};
c = struct;
c.name = 'ri';
c.type = 'riMultiDim';
c.size = [3 bufSize(1) bufSize(2)];
p.groups{end + 1} = c;
p.ri = numel(p.groups);
%***************************************************************************... |
function [x] = gauss(A, b)
[A, b] = upperTriangular(A,b);
x = solveUpperTriangular(A,b);
end |
% Création d'un grid sag adapté à l'exportation dans zemax.
% Scipt principal pour la génération à une surface
clear
%Configuration des paramètres
run config.m
s_max = hfov.*(1-z/f);
%Création de la fonction de grandissement
G = fun_creation(type_dist,r1,r2,g1,g2);
%Calcul du profil de distortion recherché
[distor... |
%%İONESPHERE VERİSETİ İÇİN ROC CURVE
clear all;close;clc;
load ionosphere; %binary classification
[m,n] = size(X);
Per = 0.80;
idx = transpose(randperm(m));
Training_X2= X(idx(1:round(Per*m)),:);
Training_Y2= Y(idx(1:round(Per*m)),:); %Spilitting data
Testing_X2 = X(idx(round(Per*m)+1:end),:);
Testing_Y2= Y(idx... |
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