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classdef simulation < handle
% SIMULATION - A class to store an OpenSim modeling simulation.
%
%
% Created by Megan Schroeder
% Last Modified 2014-03-30
%% Properties
% Properties for the simulation class
properties (SetAccess = private)
S... |
%{
ret2p.LocalGlobalChirp (imported) # receptive field using dense noise
-> ret2p.Trace
---
mean_diff : longblob # difference in means, z-scored
mod_idx : float # modulation index
mod_idx_on : float # modulation index
mod_idx_off : float # modulation index
mod_idx_f : ... |
function [M, Mx, My] = diffusionTerm2D(D)
% This function uses the central difference scheme to discretize a 2D
% diffusion term in the form \grad . (D \grad \phi) where u is a face vactor
% It also returns the x and y parts of the matrix of coefficient.
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
%... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Test code for Fitzhugh-Nagumo equations
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Last modified 12 August 2013
% add paths to required functions
addpath('../../fdaM')
addpath('fhn')
addpath('SSE')
addpath('id')
% set up objects required for analysis
%... |
global Lref iter
Lref = 8;
iter = 0;
hold off
x = linspace(-4,4,10)';
xcold = (x(2:end)+x(1:end-1))/2;
for i = 1:10
k = -xcold.^2+17;
x = springsystem(k);
xc = (x(2:end)+x(1:end-1))/2;
max(xc-xcold)
xcold = xc;
plot(xc,k,'o-')
hold on
end
% E = sum(1/2*(x(2:end)-x(1:end-1).^2))
% ktest = reversespring... |
%Practical 5
% Question 1
% approach 1
x = -4:4;
f = -3*x.^4 + 10*x.^2 - 3;
figure;
plot(f)
% approach 2
figure;
fplot(@(x) -3*x.^4 + 10*x.^2 - 3, [-4,4])
% Question 2
%Question 3
L = 16;
a = 6;
b = a;
c = L - (a+b);
w1 = 400;
w2 = 200;
x = 0:0.5:L;
RA = (w1*a*(2*L-a)+w2*b^2)/(2*L);
RB = (... |
kpks = zeros(1,SizeofCal);
%fac(n+1) = factorial(n)
fac(1)=1;
fac(2)=1;
for fa=3:1:Np+1;
fac(fa) = fac(fa-1) * (fa-1);
%fac(fa) = sqrt(2*pi*(fa-1)) * ((fa-1)/exp(1))^(fa-1);
end
hj = (t-r-u).*Np; %(max(0 , Np.*(t-r-jj-1) - u*Np*((1-(1/(u*Np)))^((jj+1)*Np)) ) );
pj = ( (1-(1/(u*Np))).^hj );
for k=1:1:Np-1;... |
function [ output ] = fun_clus_withRW( kact_synI, bzf, kact_RW, bdpn1)
%% Variables:
% kact_SynI = basal methylation rate of SynI
% bzf = ZF specificity multiplier
% kact_RW = basal methylation rate of SynRW
% bzf = DpnI specificity multiplier
% % Test Variables
% kact_synI = 5*10^-4;
% bzf = 10;
% kact_RW = 5*10^-4.... |
function [xf,stop] = impact_check(x)
global N
for k = 1:1:N
state = [(x(1:5,k));x(6:10,k)];
next_state = [(x(1:5, k+1));x(6:10,k+1)];
[xf,flag] = impact(next_state,state);
if flag == true
stop = flag;
break;
else
stop = fal... |
clear;
load('e_density_two_pass_2602.mat');
%load('e1_two_pass_2102_fai.5_mem.mat');
%load('e2_two_pass_2102_fai.5_mem.mat');
f_f=.1:.3:.9;
f_d=.1:.3:.9;%:.3:.8;
area=0.1:.1:.4;
m1=0.1:.2:.9;
fai=0.5;
parameter_initialization2;
o_p_power=van_coe*(c_d0-c_f0);
max_deltaP=2*o_p_power;
delta_p=0:1:max_deltaP;
for a=1:leng... |
%*******************************************************************************
%* Program: init_RJ4b.m
%* Description: Inititialization file for problem 4b [1].
%* Author: Andrew Kercher
%* References:
%* [1] Ryu, D. and Jones, T. W., "Numerical Magnetohydrodynamics in
%* Astrophysics: Algorith... |
function [theta_new, obj_new, obj] = optimizeThetaLS(Z, trainLabelsL, theta, set, para)
% ---------------------------------------------------------------------
% Optimization of the multiview combination coefficients THETA with the least square loss
% --------------------------------------------------------------------... |
function [ xPos, yPos ] = VlinkPositionsPerLimit( ...
outsideMeasurements, VlinkLimit)
%VLINKPOSITIONS Summary of this function goes here
% Detailed explanation goes here
% was sind die kooridnaten jeder oberen linken ecke der componenten
%last position of solution vector x
% is the summed sized of the larg... |
function [phat,band]=ebbsdensity(x,ha,hb,p,order,span,M1,J1,J2,nterms,xgrid, ...
ridgecoef) ;
%
% Estimate a probability density with local polynomials and EBBS bandwidths
%
% Last edited: 11/22/95
%
%
% Estimates the density on xgrid
%
% x = sample (dim = n)
%
% ha, hb = bandwidth range ... |
clear;
type compact;
%initialization
a=[12000 15000 18000 24000 35000 50000 70000];
b=[3000 2500 1500 1000 400 100 25];
%average salary level
avl=mean(a);
disp(avl);
%higher
hi= sum((a>avl).*b);
disp(hi);
%lower
lo= sum((a<avl).*b);
disp(lo);
%average salary
av=sum(a.*b)./sum(b);
disp(av); |
%cd('c:/Vision/Raw Files') ; ls
cd('c:/shared/denoising_MR') ;
clear all ; close all ;
EEGnoise = pop_loadbv('.','Russell_test_2015-08-05_EEGnoEPI.vhdr') ;
EEGnoise = pop_chanedit(EEGnoise,'lookup','C:\eeglab10_0_0_0b\plugins\dipfit2.2\standard_BESA\standard-10-5-cap385.elp') ;
eeg2 = EEGnoise ; eeg2 = pop_res... |
function varargout = doc_rootfinder(varargin)
%DOC_ROOTFINDER Get the documentation string for a plugin.
%
% char = DOC_ROOTFINDER(char name)
%
%
%
%
[varargout{1:nargout}] = casadiMEX(823, varargin{:});
end
|
%%
settings = MatdbSettingsStore;
settings.pathListCache = {'~/data/testMatdb/cache'};
settings.pathListAnalysis = {'~/data/testMatdb/analysis'};
settings.permissionsAnalysisFiles = 'uga+rX';
%clear
%clear classes
str = RandStream('mt19937ar','Seed',1);
RandStream.setGlobalStream(str);
%% Build tables
if ~exist('cr... |
function u = U2u(U, v)
%U2U Summary of this function goes here
% Detailed explanation goes here
u = sqrt(U^2 - v^2);
end
|
classdef Model < AbstractModel
%Network.MODEL describes a model living on a network.
properties (SetAccess = immutable)
network % here lives the model
end
methods
function obj = Model( network, type, vars )
obj@AbstractModel( type, vars );
assert( isa(network,'Network') );
... |
function [ Proximity2D, Proximity3D ] ...
= compute2D3DProximity( image3D )
%computeStreamlines2D3DProximity extracts proximity to the nearest solid
%
% Input Arguments
% - image3D : a (nx*ny*nz) uint8 matrix, 3-D binary image of
% pore space (0 = pore, 1 = grain)
%
% Output Arg... |
function [ P, P1, Pt1, Np ] = cpd_P( X, TY, sigma2, w)
%CPD_P Computes the probability matrix for the CPD algorithm
%
% P = cpd_P(x, Ty, sigma2, w) computes the CPD probability matrix
%
% Inputs:
% X N x D matrix of the data points
% TY M x D matrix of transformed Gaussian centres
% sigma2 Standard dev... |
function [Lp_dB,Lp] = free_path_loss(f,range)
%[Lp_dB,Lp] = free_path_loss(f,range)
%Lp s the free path loss the signal experience
%Lp_dB is given in dB
%f is the frequency in Hz
%range is the range in km
lambda = wavelength(f);
Lp = (lambda/4/pi/(range*1000))^2;
Lp_dB = dec2dB(Lp);
end |
function HIV_REF=HIVrefLoader(FILENAME,SubInput,SkipBads)
% HIVrefLoader
% HIVrefLoader reads a FASTA formatted file which has the complete
% HIV genomic region followed by the the NT sequence of each protien
% region. This produces and HIV_REF which is compatible with all of
% the Gener... |
function [ExtrTotal] = Reduce(datosfinales)
ExtrTotal = [];
diary('Reducir.txt');
diary on
max = length(datosfinales);
ExtrTotal = [];
tam = 0;
sirve = 0;
for i = 1 : max
descarte = 0;
disp(strcat('Revisando Intervalo: ',num2str(i)));
% [valores] = ObtenerInfo(datosfinales{i,:})
% Ex... |
clear
%--------------------------------------------------------------------------
% fine grid size, coarse grid size, dim of coarse grid, num of coarse grid
d=2; N=2^6; hg=1/(N+1); %size N, total N^2 points
sizeH=2^2; H=sizeH*hg; dimH=sizeH^d; num=N^d/dimH;
fprintf('d=%.0f, grid points %.0f^2, loc-dom size %.0f... |
%GRIDSEARCH Function to do grid search
%
% GRIDSEARCH_KNN(A, S, E, C, P, I, K)
%
%
% INPUT
% A Training data set.
% S Independent test data set.
% E Evaluation technique.
% C Classifer.
% P List of parameter to change (e.g 1:5 or 5:5:50).
% I Number of iterations to train bp... |
function put_plot_obj_at_bottom(h)
% put_plot_obj_at_bottom(int* plot_handle)
%
% put the plot obj. (handle) @ bottom (as if it was plotted first). useful
% if you want to to move a patch or fill plot which is plotted later to be
% _below_ s.t. it does NOT obcure other plots
hall = get(gca, 'children');
Nh = length(... |
function [ sign ] = separate( beta, tX, tY )
%SEPARATE Summary of this function goes here
% Detailed explanation goes here
PCA = pca(tX);
sign = (tX*PCA(:,1:2))*(PCA(:,1:2)'*beta) - tY > 0;
end
|
function evaluate(X, y, theta)
figure;
cumulative_plot(X, y, @(X) neural_network_tester(X, theta), 5);
title('Neural Network Evaluation');
xlabel('Guess Number');
ylabel('Cumulative Percentage Correct');
axis([1 5 0 100]);
figure;
cumulative_plot(X, y, @guesser, 5);
title('Random Gu... |
%DEMOSPLITMESH Demonstration script for function splitMesh
%
% output = demoSplitMesh(input)
%
% Example
% demoSplitMesh
%
% See also
%
% ------
% Author: oqilipo
% Created: 2017-09-20, using Matlab 9.1.0.441655 (R2016b)
% Copyright 2017
%% Quad mesh
[v1, f1] = boxToMesh([1 0 -1 0 -1 0]);
[v2, f2] = boxToM... |
clear;
type compact;
%(a)
% c = input('please input Celsius temperature\n');
% number of Celsius temperature
% f = ((c*9)/5)+32;
% disp(['The Fahrenheit temperature is:',num2str(f)]);
%(b)
disp('Celsius Fahrenheit');
for c = 20:1:30
%list number of Celsius temperature
f = ((c*9)/5)+32;
... |
% make final datafile for scaling results.
clear; close all; format compact
addpath /Users/dkane/Documents/RESEARCH/SAM/picking
addpath /Users/dkane/Documents/RESEARCH/codes
wid_all = fopen('SCALINGRESULTS/allscalingresults_Oct2013.dat','a');
wid_best = fopen('SCALINGRESULTS/finalscalingresults_Oct2013.dat','a');
... |
clc;
clear;
matrix = [];
for delta = 0:9%构建训练区样本的矩阵，幅图像
label_path = strcat('D:\GIT\handwitten_recognition\train\',int2str(delta),'\');
disp(length(dir([label_path '*.png'])));
for i = 1:length(dir([label_path '*.png']))
im = imread(strcat(label_path,'\',int2str(delta),'_',int2str(i-1),'.png'));
%... |
function [finalImg, Translations] = create_panorama(dir)
images = load_images(dir);
NUM_IMAGES = size(images, 4);
% ============================================================================
% SIFT, RANSAC and extract translations
for i=1:NUM_IMAGES-1
disp(sprintf('============================... |
function rechi=kkrebook2(omega,imchi,alpha)
%The program inputs are the vector of the frequency
%(or energy) components, the vector of the imaginary
%part of the susceptibility under examination, and
%the value of the moment considered.
%The two vectors must have the same length
%and the frequency vector omega ... |
clear all; close all; clc
load medium_100_10k.mat;
k=10;
[idx , C, sumd, D] = kmeans(wordembeddings,k);
tenClosestWordsIndexes = minimums(D,10);
charVocab = char(vocab);
closestWords = cellstr(charVocab(tenClosestWordsIndexes,:));
closestWords = reshape(closestWords,10,10);
%%
clear all; close all; clc
load medium_1... |
%% A Testbench for ALM
% Frequency is proportional to the number of peaks
relFreqConst = 2*pi*2.5;
amp = 2.2;
phase = -[0; 0.54; 2.07];
numSources = 3;
height = 3;
% All point sources are aligned at [x_i,y_i,z]
xcoords = [2.4112
0.2064
1.6787];
ycoords = [0.3957
0.3927
... |
function y = NotchFilter(x, r)
% function y = NotchFilter(x,r)
%
% Inputs: x - N x 1 complex vector which contains a wideband signal
% contaminated by narrowband interference.
% r - pole radius. This should be close to 1. The closer to 1 the
% more narrow and deeper the notch. Please see data sheet f... |
function varargout = nlpsol_default_in(varargin)
%NLPSOL_DEFAULT_IN Default input for an NLP solver.
%
% [double] = NLPSOL_DEFAULT_IN()
% double = NLPSOL_DEFAULT_IN(int ind)
%
%
%
%
[varargout{1:nargout}] = casadiMEX(806, varargin{:});
end
|
% Show MySQL all connections and prompt to kill a connection.
% dj.kill() lists all connections and prompts the user to enter an id to
% kill.
%
% dj.kill(restriction) lists all connections satisfying the specified
% restriction. Restrictions are specified as strings and can involve any
% of the attributes... |
%% Loading data files
load('mfiles1/data3.mat');
[B,FitInfo] = lasso(X,Y);
lassoPlot(B,FitInfo,'PlotType','Lambda','XScale','log');
hold on
hline = refline(0, 2.9388)
hline.LineStyle = '--';
hline2 = refline(0, 0.0648)
hline2.LineStyle = '--';
hline2.Color = 'g';
hline3 = refline(0, 1.4252)
hline3.LineStyle = '--';
hl... |
% time_stamp_end = 1231
% find(Ekin_outputG(:,1)<60*1e3)
% %
P1=1+32;
P2=4+32;
% vperp_sq_outputG=vDsq_outputG;
% Bfield_part_outputG=interp2(scale_X,scale_Z,Btot_XZ_map',Xpos_outputG,Zpos_outputG,'*linear');
mm_outputG=Eperp_outputG./Bfield_outputG;
lambda_outputG=Bavg*mm_outputG./Ekin_outputG;
% psi_value_output... |
jjk=55;
if jjk<10
g3=['snapshot_00' num2str(jjk) '.hdf5'];
elseif jjk<100
g3=['snapshot_0' num2str(jjk) '.hdf5'];
else
g3=['snapshot_' num2str(jjk) '.hdf5'];
end
id_mid =double( h5read(g3,'/PartType0/ParticleIDs/'));
C3_mid= double(h5read(g3,'/PartType0/Coordinates/... |
%% Input
lena = im2double(imread('lena.jpg'));
cat = im2double(rgb2gray(imread('cat.jpg')));
%% Constants
sigma = 3;
fsize = 20;
hthres = 0.15;
lthres = 0;
%% 1D filters
x = linspace(-fsize / 2, fsize / 2, fsize);
gx = exp(-x .^ 2 / (2 * sigma ^ 2));
gy = gx';
dgx = -x .* exp(-x .^ 2 / (2 * sigma ^ 2));
dgy = dgx';
... |
clear;
% close all;
addpath('~/yossi_local/visualRFNNMatlab/postprocessing_code/');
%set the seed to a reproducable number
rng(142);
% Fonts
FontName = 'Times';
FSsm = 7; % small font size
FSmed = 12; % medium font size
FSlrg = 18; % medium font size
% Line widths
LWthin = 1; % thin lines
% Colors
col1 = [0,0,1];
%Cr... |
% This function maps a bit sequence to a corresponding array of complex modulation
% signs.
%
% The arrangement of elements inside the constellation array will
% determine the encoding of the bit sequence.
%
% For example:
%
% The first element of the constellation array with an index of 1 correspond to either a bit
... |
%% 第十二章 对象识别
%% 例12.1 gscale dftcorr 使用相关来匹配图像
clc
clear
f = imread('..\Pictures\images_ch12\Fig1201(a)(Hurricane Andrew).tif');
imshowMy(f)
title('原始图像')
w = imread('..\Pictures\images_ch12\Fig1201(b)(hurricane_mask).tif');
imshowMy(w)
title('模板图像')
g = dftcorr(f,w);
gs = gscale(g);
imshowMy(gs)
[I, J] = find(g ==... |
% myobj = Close(myobj)
%
% Closes the network connection to the StimulateOpenGL II
% process. Useful only to cleanup resources when you are
% done with a connection to StimulateOpenGL II.
% Copyright (c) 2012 Howard Hughes Medical Institute.
% All rights reserved.
% U... |
function Ja = Ja_calc(q)
%% This function calcuates the robots inertial mass.
% Input:
% Orientation and extention of robot jonts.
%
% (4.89) Page 141 in Spong
%% Parameters
% Global variables in MATLAB if preferred (remove comments in that case)
% global m1 m2 m3; % Masses
% global l1 l2 l3; ... |
clear all;
close all;
clc;
%boundary
im= imread('lincoln.tif');
imshow(im,[]);
SE=strel('square',3);
bound=im-imeroded(im,SE);
figure; imshow(bound,[]); |
load('output/results.mat');
numMethods = length(methodNames);
columnOrdering = '| c || c | c || c | c || c | c || c | c |';
datasetHeader = '';
measurementHeader = 'Method Name';
%CAL500
datasetHeader = [datasetHeader ' & \multicolumn{2}{|c||}{CAL500}'];
measurementHeader = [measurementHeader ' & Macro-FMeasure & Ma... |
function export_region_echoes_to_xyz(layer_obj,active_reg,varargin)
[path_tmp,~,~]=fileparts(layer_obj.Filename{1});
layers_Str=list_layers(layer_obj,'nb_char',80);
output_f_def=fullfile(path_tmp,[layers_Str{1} '_regions' '.xlsx']);
p = inputParser;
addRequired(p,'layer_obj',@(x) isa(x,'layer_cl'));
addRequired(p,'ac... |
function cyclev(velocity)
if nargin<1
velocity=[7E3 0 0];
end
fid=fopen('pictetra.dat');
out=[];
line=1;
while(line==1)
A=fgetl(fid);
if(strncmp(A,' nipop=',7))
out=[out ' nipop=1' char(10)];
else
out=[out A char(10)];
end
if(strncmp(A,'$begin plasmaparameters',23));
line=0;
break;
end
end
ou... |
function result = f_importCSV(fname,labels)
% - import numeric data from a comma-separated-values (*.csv) file
%
% USAGE: result = f_importCSV('fname',labels);
%
% fname = name of *.csv file to import
% labels = 1: data file only includes column labels (default = 1)
% 2: data file includes co... |
% Standard GUIDE code
function varargout = modelWindow(varargin)
% MODELWINDOW MATLAB code for modelWindow.fig
% MODELWINDOW, by itself, creates a new MODELWINDOW or raises the existing
% singleton*.
%
% H = MODELWINDOW returns the handle to a new MODELWINDOW or the handle to
% ... |
function r_gabor(P, scr, t, stim, varargin)
if length(varargin) == 1
dest = varargin{1};
end
%%%Create and and display gabor patch%%%
% NOTE THAT THIS DOESN'T RANDOMIZE PHASE. WTA
ort = stim.ort + 90; % this is to try to make things more similar after adding ellipse
cur_sigma = stim.cur_sigma;
%phase = stim.phase;... |
clear all, close all
rew = @(x) .5*exp(- (x - 2) * 1 * (x -2)) + exp(- x * 4 * x) ;
addpath('../gp')
addpath('..')
addpath('~/svnprojects/ClassSystem/Helpers/')
addpath('../DERIVESTsuite/')
addpath('../teach-grad-hess/')
x = -2:.1:5;
for i=1:length(x)
r(i) = rew(x(i));
end
xtest = rand(1, 40)*7 -2;
for i = 1:leng... |
function [ rule ] = EstimatePointDebtRule(FL, init)
% ****************************************************************
% ESTIMATE POINT DEBT RULE
% ****************************************************************
% Code for the nonlinear model described in the Appendix B in the
% "Sovereign Default... |
clear
close all
A=double(imread('couloir.tif'));
figure, imshow(uint8(A),gray(256))
[h,w]= size(A);
If=fftshift(log10(abs(fft2(A))));
fx=linspace(-0.5,0.5-1/w,w);
fy=linspace(-0.5,0.5-1/h,h);
figure, imagesc(fx,fy,If)
H1=ones(3)/9;
H2=ones(5)/25;
sigma = 1.5;
[X,Y]= meshgrid(-5:5);
H3 = exp(-(X.^2+Y.^2)/(2*sigma^2))/(2... |
sca;
close all;
clearvars;
PsychDefaultSetup(2);
screens = Screen('Screens');
screenNumber = max(screens);
white = WhiteIndex(screenNumber);
black = BlackIndex(screenNumber);
[window, windowRect] = PsychImaging('OpenWindow', screenNumber, white);
[screenXpixels, screenYpixels] = Screen('WindowSize', window);
Scree... |
function [ Out_data ] = ShiftRows( Input_data )
Out_data(1,1:32) = Input_data(1,1:32);
Out_data(2,1:32) = [Input_data(2,9:16) Input_data(2,17:24) Input_data(2,25:32) Input_data(2,1:8)];
Out_data(3,1:32) = [Input_data(3,17:24) Input_data(3,25:32) Input_data(3,1:8) Input_data(3,9:16)];
Out_data(4,1:32) = [Input_data(4,2... |
% Class for controlling actual robot. Contains callibration routines but
% the constants hardcoded should be approximate. A new object closes all
% previous conections, which means only the most recent object will work
% (essentially singleton).
%
% move(cm) and turn(radians) work but curve(cm, radians, right) is a wor... |
% Behavioral Reversal Learning Task written by Amanda Buch
% Modified from shopping learning task written by Madeleine Sharp, MD
% in the lab of Daphna Shohamy, PhD at Columbia University
% Last Updated December 17, 2015
%MS changes made/questions (and see below):
%1) nTrials/2 --> nTrials; 2)
%2)multiple reversals?
... |
clear all;
[p1,t1]=LFPB_ViaPoint([0,2,2],[0,1,2],10,0.001);
[p2,t2]=LFPB_ViaPoint([0,2,2],[0,1,2],10,0.001);
subplot(3,3,4);
plot(p1,p2,'-b');grid on;title('x-y');
axis([-5,5,-5,5]);
subplot(3,3,2);
plot(t1,p1,'-b');grid on;title('x');
subplot(3,3,3);
plot(t2,p2,'-b');grid on;title('y');
subplot(3,3,5);
p1=diff(p1);p2... |
clear all;
clc;
hold on;
x=linspace(-50,50,5);
y=x;
[Xr,Yr]=meshgrid(x,y);
surf(Xr,Yr,0*Xr);
[X,Y,Z]=sphere(4);
surf(X,Y,Z+1);
camx=0;
camy=60;
Xs=X+20;
Ys=Y+20;
Zs=Z;
PlayerColor=[0 1 0];
%====================Definiranje na objekti====================
global generatedObjects; %broj na generirani objecti
global numberO... |
%% Giles: Automated fracture tracing script
% Fracture tracing script based on contrast difference, currently only
% tested on SEM BSE images. To use: run script. Change parameters according
% to results. Details on the parameters are found in the pdf manual. The
% script requires the image processing toolbox.
%
% Th... |
clear all;
close all;
M=csvread('data_Accuracy_Diff_Sub_Diff_Ts.csv');
M=M.*100;
X=[1:16];
y1 = M(1,:)';
y2 = M(2,:)';
y3 = M(3,:)';
y4 = M(4,:)';
y5 = M(5,:)';
plot(X,y1,'-b',X,y2,'-r',X,y3,'-b',X,y4,'-c',X,y5,'-m');
legend('sub1','sub2','sub3','sub4','sub5','location','northwest');
%xlabel('Time... |
% 2017 Fall Numerical Optimization Homework #6
% 2017. 11. 08
% 20161216 HAN SANGJUN
clc;
clear;
close all;
max_iter = 5000; % when reach to end of loop, evoke error
epsilon = 0.001; % for terminating condition
%% Problem 2 - find minima f(x, y) = (1.5 - x + x*y)^2 + (2.25 - x + x*y^2)^2 + (2.625 - x... |
function [LLi, E_X_posterior, COV_X_posterior] = velime_estep(C, G, estParams, const)
% [LLi, E_X_posterior, COV_X_posterior] = velime_estep(C, G, estParams, const)
%
% Computes the posterior distributions of [x_{t-tau}^t,...,x_t^t] given
% p_{t-tau-1}, p_{t-tau}, u_{t-tau+1}, ..., u_{t+1}, G_t.
%
% @ Matt Golub, 201... |
function MatMPI_Sleep
% Turn off warning that occurs when running Matlab on Linux with no
% stdin source attached
%warning('off', 'MATLAB:typeaheadBufferOverflow');
if (isunix)
pause(0.01);
else
pause(0.1);
end
return;
|
clc
clear
a = input('a=');
b = input('b=');
for k=1:1:15
t(k) = k;
x1(k) = a;
x2(k) = b;
c(k) =(x1(k)+x2(k))/2;
if k>1
l(k) =((c(k)-c(k-1))/c(k))*100;
m(k)=abs(l(k));
if m(k)<=0.0001
break;
end
end
f1(k) = tan (x1(k)+x1(k));
f3(k) = tan (c(k)+c(k));
if f1(k)*f3(k)... |
function gamma = IDM(Q, QP, QPP)
% Calculate A(Q)
syms L1 M1 MX1 MY1 MZ1 XX1 XY1 XZ1 YY1 YZ1 ZZ1
syms L2 M2 MX2 MY2 MZ2 XX2 XY2 XZ2 YY2 YZ2 ZZ2
Q=sym(Q);
QP=sym(QP);
QPP=sym(QPP);
V0=[0;0;0];
V1=[0;0;0];
W0=[0;0;0];
V2=[L1*sin(Q(2))*QP(1)
L1*cos(Q(2))*QP(1)
0 ];
W1=[0;0;QP(1)];
W2=[0;0;QP(1)+QP(2)];
J11=[X... |
function [parameters error] = generate_parameters(founder_source, map, genotype)
error = 0;
parameters = [];
physical_map = map.physical_map;
scaled_map = map.scaled_map;
[nrows, ncols] = size(scaled_map);
if( nrows <= 0 || ncols ~= 2 )
error = 1;
disp('error in processing marker list');
return;
end
n... |
circle_radius = 800.e-3;
arc_angle = pi/3;
ellipse_radii = [75.e-3, 112.5e-3];
num_turns = 1.5;
num_strips = 31;
center_height = 20.e-3;
max_width = 45.e-3;
min_width = 20.e-3;
gamma_func = cell(num_strips,1);
dgamma_func = cell(num_strips,1);
ddgamma_func = cell(num_strips,1);
curv_func = cell(num_strips,1);
t_bounds... |
function [est_nb, classe, u] = estimate_signature(sb)
% fonction permettant d'estimer la signature
% sb : signature binarisee (vecteur ligne)
% est_nb : le vecteur final contenant les nombres decodes
l = length(sb);
u = l/89;
if (u > 1 && u < 2)
disp('Shannon theorem not checked !');
est_nb = 0;
classe = ... |
% script to run PROCESSLBATCHMODE.m on the 2-sec data for autoscored using lactate
% and manual scored using lactate and SWA
% each vector of output contains tau values for 11 BA files and then 11 BL files
ten_sec_directory = 'D:\mrempe\autoscore_and_epoch_length_study_data\10-Second_epochs\';
two_sec_directory = 'D... |
function c=adunare(nr,ad)
T=0;
if length(ad)>length(nr)
for i=length(nr)+1:length(ad)
nr=[0 nr];
endfor
else for i=length(ad)+1:length(nr)
ad=[0 ad];
endfor
endif
for i=length(nr):-1:1
c(i)=nr(i)+ad(i)+T;
T=floor(c(i)/10);
c(i)=mod(c(i),10);
endfor
if T c=[T c]; endif
endfunction
|
classdef node < matlab.mixin.Copyable
properties
% network parameters
id_child = []; % M_child x 2 % id at (I) node array (c/g) of the layer + (II) data array (c/g) of the layer
% id_parent = []; % M_parent x 2 % id at (I) node array (c/g) of the layer + (II) data array (c/g) of the layer
... |
clear all
a2_max=1;
a1_max=4;
load net_lqr
k=1;
for a1=-a1_max:0.1:a1_max,
for a2=-a2_max:0.01:a2_max,
% [AT,BT,CT,DT] = ssdata(rss(6,1,2));
Q = eye(6);
R = eye(2);
inputANN(:,k) = [a1;a2];
%inputANN(:,k) = [A(1,:)';AT(2,:)';AT(3,:)';AT(4,:)';AT(5,:)';AT(6,:)';BT(1,:)';BT(2,:... |
%% create object
obj = mypkg.mysubpkg.myclass();
% valid calls graph:
% ------------------
% n,hn ==> [m, m2, s, so, s2, s2o, l, p; hm, hmo, hmvo, hm2, hm2o, hm2vo, hs, hsv, hso, hsvo, hs2, hs2v, hs2o, hs2vo, hl, hp]
% m,hm,hmo,hmvo ==> [m2, s, so, s2, s2o, l, p; hm2, hm2o, hm2vo, h... |
% GMSH2MATLAB2D.m
% MATLAB script to convert Gmsh nodes, elements, and edges from output MSH
% file into usable MATLAB arrays and vectors
%
% Creator: Casey T. Icenhour
% Last Update: February 6, 2017
%
% License: MIT License
%
% Reference:
%
% C. Geuzaine and J.-F. Remacle. "Gmsh: a three-dimensional finite
... |
%CODINGCONVENTIONS specify coding conventions for MatGeom files
%
% General
%
% This file specifies coding convention for future files. Current files
% do not necessarily follows the requirements, as they were created
% before conventions.
%
% There are three levels of conventions:
% MUST: an oblig... |
clc;
clear;
close all;
%%
% theta = 0:pi/180:pi-pi/180;
% afd = sin(theta);
% %length(afd)
% afd = [ .1*ones(1,90) afd .1*ones(1,90)];
% plot(1:length(afd),afd);
% psi=k*d*cos(theta)+beta;
% AF=sinc((Nelem.*psi./2)/pi)./sinc((psi./2)/pi);
%%
lambda = 1;
d = lambda/2;
M = 32;
m = M/2;
theta = 0:pi/18... |
clear all, close all
data.fileName = 'HandoverLearningOrientation_test';
data.epsilon = 0.7;
data.initSamples = 29;
data.updateSamples = 5;
data.numHyper = 6;
data.samples = [];
data.policyMean = [.7 1.1 0, 0];
% data.policyMean = [.7 1.1 0, -20/180*pi];
% data.policyCov = {diag([.1,.3,50, .05].^2)};
data.policyCov = ... |
% close all; clc;
processStatus = [processStatus, newline, ...
datestr(now), ' >> ', '[Start image outputing].'];
processStatus = [processStatus, newline, ...
datestr(now), ' >> ', 'Plotting graphs ...'];
% plotting processes
x = -pi:0.01:pi;
figure... |
clear;
rng('default');
rng(1);
n = 1000; m = ceil(n/5); s=ceil(n/10);
x_true=[randn(s,1);zeros(n-s,1)]; % true sparse signal
x_true = x_true(randperm(n));
density = 0.1;
rcA = .01;
A=sprandn(m,n,density,rcA);
b = A*x_true + 0.1*randn(m,1);
mu = 1;
do_super_scs = 1;
tic;
cvx_begin
cvx_solver scs
cvx_solver... |
function varargout = Erode_Surface_Label(varargin);
%
% Syntax :
% [dilLabels] = Erode_Surface_Label(Surf, surfLabels, opts);
%
% This function erodes labels throughout a specified surface.
%
% Input Parameters:
% Surf : Surface variable (file, struct or cellarray).
% surfLab... |
function [nee, nnn, nuu, nen, neu, nnu] = local_okada_strain_calc(flong1, flat1, flong2, flat2, long, lat, z, fdip, fld, fss, fds, fts, nu, fbd)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% %%
%% local_okada_calc.m %%
%% ... |
function [res,receptor] = initreceptores(res,m_vars,f_vars,ops)
hfig = figure('Name','ReceiversPlot');hold on
xran = res.box(1,1):res.Del:res.box(1,2);
yran = res.box(2,1):res.Del:res.box(2,2);
zran = res.box(3,1):res.Del:res.box(3,2);
res.nx = size(xran,2);
res.ny = size(yran,2);
res.nz = size(zran,2);
res.n... |
all_Trajectories = {
Arc;
Straight;
BSML;
% BSMLS;
BSMR;
% BSMRS;
RSML;
% RSMLS;
RSMR;
% RSMRS;
};
all_Trajectories_String = {
'Arc'
'Straight'
'BSML'
% 'BSMLS'
'BSMR'
% 'BSMRS'
'RSML'
% 'RSMLS'
... |
function J = square_jacobian_area(alpha_star, P_star, period)
% Function computes the Jacobian at a certain point using central
% differencing for the derivatives.
eps = 1e-6; % For the finite difference. We use the central finite difference method
% How many iteations should we go ahead? (How many compositions... |
clear all;
addpath ('../')
addpath ('../include')
% Load input
default_arena_input
% Generate common arena parameters
arena_generate
default_arena_write
default_arena_plot
|
%% Biomedical Digital Image Processing
% Image sharpening with Laplacian operator
% Date: 2017.09.23
% Created by Eunseo Cho
clc; clear; close all;
%% Get data and size from the image
image = imread('brainmri.jpg');
image = rgb2gray(image); % convert to gray scale image
[m,n] = size(image);
figure(1);
subplot(231); ... |
function save2nifti(fname)
% Loads a .mat file format, and saves it to the same directory with a
% .nii format
% Use before applying BET with FSL
% The variable name must be 'MRA_stack'
% Otherwise throw an error
load(fname, 'MRA_stack');
niftiwrite(MRA_stack, fname);
end |
function dist = point_to_line(pt, v1, v2)
if length(pt)==2
pt=[pt 0];
v1=[v1 0];
v2=[v2 0];
end
a=v1 - v2;
b=pt - v2;
D=norm(cross(a,b)) / norm(a);
A=sqrt((v1(1)-v2(1))^2+(v1(2)-v2(2))^2+(v1(3)-v2(3))^2);
B=sqrt((pt(1)-v1(1))^2+(pt(2)-v1(2))^2+(pt(3)-v1(3))^2);
C=sqrt((pt(1)-v2(1))^2+(pt(2)-v2(2)... |
function [Sch_rank,W] = Srankt()
M = load('SG1.csv','-ascii');
%size of the matrix
R = length(M(:,1));
C = length(M(1,:));
Investment=ones(R,1); %decision of initial investment
Sch_rank=zeros(R,2);
D_sch=zeros(R,1);
D_lev=zeros(C,1);
Rate_lev=zeros(1,C); %assing rate level
Rate_lev(1,1)=-1;
Rate_le... |
function [lambdak,V,flag] = JacobiRot(Ak,e,imax)
%JacobiRot execute the Jacobi rotation
flag = true;
if Transp(Ak) - Ak ~= 0
flag = false;
lambdak = [];
V = [];
return
end
error = inf;
count = 0;
len = length(Ak);
V = eye(len);
p = 0;
q = 0;
U = eye(len);
while and(error > e,count < imax)
if count... |
%%model comparisons
clear;
%%experimental data from Ref
%Rising the bar: increased hydraulic pressure allows unprecedented high
%power density in pressure retarded osmosis
%c_d0 is 0.6 mol/L(35g/L)
%A=2.49;%Lm-2h-1bar-1
%B=0.39;%Lm-2h-1bar-1
%S=564*10^-6;%m
%k=99;%Lm-2h-1
deltaP_exp_06=[4.8 9 13.8 19.0 22.8];
Jw_exp... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% CSC C11 - Assignment 3 - Classification by Gaussian Class Conditionals
%
% This function uses a trained GCC model to classify an input dataset
%
% Inputs:
%
% input_data - The training data set (one input sample per row)
% centers - C... |
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