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function [Z]=GaCanaryObj(x,events_flag)
%Decision variable
HW=x(1);
OT=x(2);
BED=x(3);
ET=x(4);
%Round Decision varaibles
HW=roundn(HW,0);
OT=roundn(OT,-3);
BED=roundn(BED,0);
ET=roundn(ET,-3);
% Read Template
fid=fopen('Template.yml');
A=textscan(fid,'%s','delimiter','\n','whitespace','');
fclose(fid);... |
clear;close all;clc
Main_MMRE=zeros(56,1);
Main_RMSE=zeros(56,1);
for i=1:56
X=csvread(i+".csv");
n_rows=size(X,1);
Y=X(:,21);
X(:,21)=[];
%% Normalizing the data
minimum=min(X);
maximum=max(X);
X_norm=(X-minimum)./(maximum-minimum);
X_norm(isnan(X_norm))=0.5;
%% Dividing into train... |
cases = {'case9.m', 'case14.m', 'case57.m', 'case118.m', ...
'case2383wp.m', 'case3120sp.m'};
attack_levels = [1.1, 2.0, 3.0, 5.0];
Ks = [2, 3, 4, 5, 8];
%methods = {'top_k', 'max_mismatch'};
%cases = {'case9.m', 'case14.m'};
%attack_levels = [1.1, 2.0];
%Ks = [2, 3];
methods = {'max_mismatch'};
logfilename ... |
function [...
iavg, itime, istd_obs, istd_avg, idof, istd_inp, istd_scale] ...
= smoothitud (...
time, obs, std, dof, dt, itime, ...
ignore_self, robustify, detrendit, ...
rigorous_residuals, interp_method, idof_method)
%SMOOTHITUD Uncertainty-weighted running average, with varying degree of freedom.
if (nargin <... |
function result = check_cell(matrix,i,j,num)
if check_row(matrix,i,j,num)==false
result=false;
elseif check_col(matrix,i,j,num)==false
result=false;
elseif check_3_by_3(matrix,i,j,num)==false
result=false;
else
result=true;
end
end
|
function DataInfo=EEG_GetDataInfo(...
base_dir,Task_list,tmpl_subj)
%this can only be done after the processing paradigms are determined and at
%least one subject is done
% base_dir='/nfs/jong_exp/EEG_PFC/';
% Task_list={'4POP','WM'};
% tmpl_subj='PFC103_040313';
%place holding task information
DataInfo=struct();
... |
function initPhysFromOptions( obj, mesh )
initPhysFromOptions@Adv_DiffAbstract( obj, mesh );
[ obj.advectionSolver, obj.HorizontalEddyViscositySolver, obj.VerticalEddyViscositySolver ] = obj.initSolver();
end |
h = 10; % estimated sensor height (mm)
d2 = 30^2; % distance threshold (mm^2)
% if ispc
% scalpFile = 'Z:\anatomy\FREESURFER_SUBS\skeri0074_fs4\bem\skeri0074_fs4-head.fif';
% elpFile = 'Z:\projects\nicholas\mrCurrent\MNEstyle\skeri0074\Polhemus\skeri0074_battery_20080808.elp';
% regFile = 'Z:\projects\nicholas... |
function [data_set1,test_label1] = test_patches(testImg,testImgMask,w)
%% Set Parameters:
% orimg=rgb2gray(orimg);
[m,n,~]=size(testImg);
r=(w-1)/2;
%N=(m-2*r)*(n-2*r);
Num=0;
d=0;
for i = (1+r) : (m-r)
for j = (1+r) : (n-r)
Xmin = i-r;
Xmax = i+r;
Ymin ... |
%% ------- view activator, inhibitor and their ratio for all shapes at last timepoint.
%close all;
masterFolder = '/Users/sapna/Desktop/testModel/Parameters4_check3/';
shapes = {'Circles', 'Triangle', 'pacman'};
outputFile = 'k0radius25_t100.mat';
quadrantCut = [0 0 1]; nSides = [1 3 1]; colonRadius = 25;
lattice = ... |
function words = translate(signalVec)
binVec = ones(length(signalVec),1);
binVec(find(signalVec == -1)) = 0;
words = bin2str(binVec);
end
|
%% ²¥·ÅÊÓƵµÄ²âÊÔ´úÂë
function playVideo(videoFile)
video=vision.VideoFileReader(videoFile);
% hFig1 = figure(1)
hFig1=figure('position',[0 0 960 544]);
hPanel = uipanel('parent',hFig1,'Position',[0 0 1 1],'Units','Normalized');
axis1=axes('position',[0 0 1 1]);
% hFig2=figure('pos ition... |
syms x t A alphat xt pt gammat smi hbar mass omega diffxt diffpt diffalphat diffgammat;
psi = A*exp(-alphat*(x-xt)^2+smi/hbar*pt*(x-xt)+smi/hbar*gammat);
lhs = smi*hbar*(diff(psi,xt)*diffxt + diff(psi,pt)*diffpt + diff(psi,alphat)*diffalphat + diff(psi,gammat)*diffgammat);
rhs = -hbar^2/(2*mass)*(diff(psi,'x',2)... |
function plot_planet(radius, color, location)
%% Draw Planet
[xx, yy, zz] = sphere(100); %Creates sphere coordinates
surface(radius*xx + location(1), radius*yy + location(2),...
radius*zz + location(3), 'FaceColor', color, 'EdgeColor', 'none',...
'FaceAlpha', 0.5);
%Draw the sphere a... |
T = 0.4;
c = @cosh;
s = @sinh;
A = [c(T), s(T); s(T), c(T)];
G = eye(2);
C = [0, 1];
Q = 8/4 * [s(2*T) - 2*T, c(2*T)-1; c(2*T)-1, s(2*T) + 2*T];
R = 1;
tic
[M,P,Z,E] = dlqe(A,G,C,Q,R);
toc
figure
hold on
for ratio = 0:.1:10
Q = ratio/4 * [s(2*T) - 2*T, c(2*T)-1; c(2*T)-1, s(2*T) + 2*T];
[~,~,~,E] = dlqe(A,G,... |
classdef Cloneable < handle
%CLONEABLE Interface: Object can clone itself
% Detailed explanation goes here
%----------------------------------------------------------------------------
properties
end
%----------------------------------------------------------------------------
methods(Abstract)
%----------... |
function xplus = g_m(x)
%--------------------------------------------------------------------------
% Matlab M-file Project: HyEQ Toolbox @ Hybrid Systems Laboratory (HSL),
% https://hybrid.soe.ucsc.edu/software
% http://hybridsimulator.wordpress.com/
% Filename: g_ex1_2.m
%-------------------------------------------... |
function pixel_cells = dicom_decode_rle(comp_fragment, decomp_segment_size)
%DICOM_DECODE_RLE Decode a run-length encoded byte-stream.
% PIXEL_CELLS = DICOM_DECODE_RLE(COMP_FRAGMENT, DECOMP_SEGMENT_SIZE)
% decompresses the run-length encoded fragment COMP_FRAGMENT and
% returns the decompressed PIXEL_CELLS. ... |
%% make_rotating_image_LR
% Shift an arena image (16x72) rightwards.
% Frame sequence is the same regardless of ypos.
% xpos=72, ypos=16 is a dark screen
clear all; close all; clc
%% Pattern-specific info
% filename='Pattern_008_drifting_grating_6px_vertical_stripes';
% infile=load('C:\Users\amoore\akm_matlab\... |
function [test_valid_score, test_final_score, train_valid_score, train_final_score]=compare_files(truth_file, predict_file, round)
%[test_valid_score, test_final_score, train_valid_score, train_final_score]=compare_files(truth_file, predict_file)
% Compare a truth value file and a prediction file.
% Returns the scor... |
sCMD = 0;
CMD = 0;
disp('Command List:')
disp('1. Start Polling')
disp('2. Stop Polling')
disp('3. Read Data')
disp('4. Read Data Status')
disp('5. Read Battery Status')
while CMD < 1 || CMD > 5
CMD = input('Select Command Number: ');
end
sCMD = CMD;
switch CMD
case 1
N = input('Enter number of samples... |
function[svs,sv_coefs,b,gamma] = get_svr_rbf_parameters(c,MaxSvs)
%get_svr_parameters extract the svm co-oordinates from the constant c
N = length(c);
NFr = (N-2)/(MaxSvs)-1;
svs_temp = reshape(c(1:NFr*MaxSvs),[MaxSvs,NFr]);
sv_coefs_temp = c(NFr*MaxSvs+1:end-2)';
%pruning
nzeros = 0;
for i=1:M... |
function [] = AllGlobalParameters(varargin);
Development = 0;
numvarargs = length(varargin);
if(numvarargs >=1)
MainPath = varargin{1};
end;
if(exist('MainPath'))
Development = 1;
end;
%Set All Global Parameters
%Set Cell Parameters
global CellThresholdParameter;
global CellconnectivitySize;
global C... |
%% s_vaCurrent
%
% Vernier acuity in human shows the positional acuity is around 6 sec of
% arc. Here, we are analyzing stimulus, optics, and eye movements and
% basing the calculation on photocurrent.
%
% Testing if people can see the difference between:
% 1) A straight line
% 2) Two straight lines with ... |
% a script to compare implicit and explicit schemes for doing FDTD
% simulations with a convolutional PML.
% A little history:
% Began with a 1D code, have expanded to a 2D TM (Hz, Ex, Ey, modeled)
% Branched from Rob Marshall's CPML script, which was an explicit,
% matrix-free implementation of 2D FDTD for a goofy le... |
function v = countGL_9(im)
%this function first checks whether input im is type uint8
%then count the gray level if im is uint8
%clear all;
%clc;
[rows,columns]=size(im);
if rows>=columns
a=rows;
else
a=columns;
end
v=linspace(0,0,a);
if nargin>0
if isa(im, 'uint8')
... |
function [GWeights , Rnk, RMSE] = calc_grappa_kernel(TargetPoints, Neighbors)
% function [GWeights , rank, RMSE] = cal_ncgrappa_kernel(TargetPoints, Neighbors)
%
% solve inverse problem for interpolation kernel:
% TargetnPoints = Neighbors*GWeights
% so ...
% GWeights = inv(Neighbors) * TargetPoints ;
% we use a ... |
function [item] = findclose(sequence , value)
% 找一列数sequence中最靠近给的value的日期
% --------------------------------
% 唐一鑫，20150730
minvalue = inf;
k = 0;
for i = 1 : length(sequence)
delta = abs(sequence(i) - value);
if(minvalue > delta)
minvalue = delta;
k = i;
end
end
item = k;
end |
function error = error_lwlr(X_train, y_train, X_test, Y_test, tau, res)
size_test = size(X_test);
size_test = size_test(1);
pred = zeros(size_test,1);
right = 0;
wrong = 0;
for i=1:size_test
pred(i) = lwlr(X_train, y_train, X_test(i,:), tau);
if pred(i)==Y_test(i)
ri... |
function V = ls_lasso(X,Ds,rDs,param)
V=mexLasso(X,cat(2,Ds,rDs),param);
%
% for i=1:size(X,2)
% Ms=max(max(abs(Ds'*X(:,i))));
% Mrs=max(max(abs(rDs'*X(:,i))));
%
% if Ms>=Mrs
% vs=mexLasso(X(:,i),Ds,param);
% X(:,i)=X(:,i)-Ds*vs;
% vrs=mexLasso(X(:,i),rDs,param);
% V(:,i)=cat(1,full(vs),full(vrs));
... |
classdef MvnGibbsInfEng < GibbsInfEng
%MVNGIBBSINFENG
properties
diagnostics;
model;
end
methods
function eng = MvnGibbsInfEng(varargin)
%
end
function computeLogPdf(eng,varargin)
%
notYetImplemented('MvnGibbsInfEng.computeLogPdf()');
end
function computeMarginals(eng,varargin)
%
... |
function data = read_nls_file(fname, numdims, typ, varargin)
% READ_NLS_FILE - reads a .mff file format that comes from Non-Local STAPLE
%
% data = read_nls_file(fname, numdims, typ)
%
% Input: fname - the filename to read
% numdims - the number of dimensions in the data
% typ - the type of the data to re... |
function T = GetDHTransform( link_length_m, link_twist_rad, joint_offset_m, joint_angle_rad )
l = link_length_m;
a = link_twist_rad;
d = joint_offset_m;
th = joint_angle_rad;
T = [cos(th) -sin(th)*cos(a) sin(th)*sin(a) l*cos(th);
sin(th) cos(th)*cos(a) -cos(th)*sin(a) l*sin(th);
0 si... |
function x = LoiBernoulli(p)
nbr = rand;
x = 0;
if nbr<p
x = 1;
end
end |
function z=f(r,a,n)
% Lab #2 - Ex2.a
z=0;
for i=0:n
z=a*r^i+z;
end
end |
function [modlist,funlist,fun_info]=mean_make(typestrlist)
% fun_info is a 1x2 cell. fun_info{1}=>1 result is pointer, 0=>not
% fun_info{2}=>typestr ('r' or 'c' usually)
declare_globals
funname='mean';
modlist='';funlist='';
r=[char(10)];
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
% Script for generating CRLB
% (C) Copyright 2019 The Huang Lab
%
% All rights reserved Weldon School of Biomedical Engineering
% Purdue University
% West Lafayette, Indiana
% USA
%
% A... |
function [ ] = HW1_1(Input_image)
[row, column] = size(Input_image);
for i = 1:row
FlippedImage(i,:) = Input_image(row-i+1,:);
for j = 1:column
TransposedImage(i,j) = Input_image(j,i);
Right_shift(i,mod(j+2,column)+1) = Input_image(i,j);
Left_shif... |
function q = restrictions(B0inv,res_cov, Theta1)
% Long run multiplier
Upsilon = Theta1 * B0inv;
% Restrictions - custommise these
q = [ vec(B0inv*B0inv'-res_cov);...
B0inv(2,2);... % Short-run restrictions (insert indices in () )
Upsilon(:,2);... % Long-run restri... |
I = imread('DinosaurPrints.jpg');
I = rgb2gray(I);
I = I(1:700,100:800);
I = im2double(I);
%figure;
subplot(2, 3, 1), imshow(I), title('Original')
filter = fspecial('prewitt');
Ip = imfilter(I, filter);
subplot(2, 3, 2), imshow(Ip), title('Prewitt Filter')
filter = fspecial('sobel');
Is = imfilter(I, filter);
subplo... |
function X = simgauss(T,hmm,Gamma)
if iscell(T)
if size(T,1)==1, T = T'; end
T = cell2mat(T);
end
T = sum(T);
ndim = size(hmm.state(1).W.Mu_W,2); K = size(Gamma,2);
X = zeros(T,ndim);
mu = zeros(T,ndim);
switch hmm.train.covtype
case 'uniquediag'
Std = sqrt(hmm.Omega.Gam_rate / hmm.Omega.Gam_shap... |
clear % Must run this command.
syms x
diff((x-1)*(x-1.5)*(x-2.0)*(x-2.5))
|
function lyapunov(data)
N = length(data);
% create return map
next = zeros(N, 1);
for i=1:N-1
next(i) = data(i+1);
end
next(N) = data(i+1);
% plot return map
figure(1), plot(data(1:N-1), next(1:N-1), '.'), title('Return Map');
% FFT
fftcoeff = fft(data, N);
t = 2:N;
% plot absolute value of FFT coefficients
fi... |
function matrixIndices = blockToMatIndices(blockIndex, blockSize)
% We have a matrix with 2x2 blocks. We say that we want to access block
% i and the function returns (2*i-1:2*i), i.e., the entries that belong to
% the block
numBlocks = length(blockIndex);
matrixIndices = zeros(numBlocks*blockSize,1);
for i=1:numBloc... |
classdef rlModelInstance < handle % < rlModel
properties
% constants
sensorNormThreshold = 100;
% subject specific data
datasetName = [];
subjectId = [];
body_height = [];
body_weight = [];
gender = '';
% linkage attachment mo... |
function x = exciteUV(N)
x = normrnd(0,1,[1,N]); |
% events='StationA_events_flag_train.csv';
%
% flags= 'StationA_events_flag_train.csv';
% event_data=csvread(events); %Load normal dataf
% flag_data=csvread(flags); %Load data with events
% len = size(event_data,1);
% start = 1500;
% ends = 3000;
% x = start:ends;
% index = 1;
% % subplot(211)
% plot(x,event... |
function [] = overlayparametricmapV2( AnatomicalImage,MAP,mask ,range, titulo)
%UNTITLED Summary of this function goes here
% [] = overlayparametricmap( AnatomicalImage,MAP,mask )
% AnatomicalImage = grey anatonical reference
% MAP= parametric map
% mask = binary mask
% GFC version 1.0
% Sep, 2017 !!
% parametric
m... |
% computes SNR in MTL subfields for comparing EPI to mux data
%
% note: if using motion-corrected or smoothed data, will first need to
% combine 3D files into a 4D image: system('fslmerge -t rmux rmux0*')
addpath(genpath('/Users/vacarr/Desktop/MCI/mciExpt/scripts/kendrick/'));
subs={'mt01'};
fType = 'mux'; %epi or m... |
function M = mmBerreman(layerArray, wavelengths, aoi, bReflect, bNormalize)
aoi = aoi*pi/180;
A = [1,0,0,1;1,0,0,-1;0,1,1,0;0,1i,-1i,0];
Ainv = [0.5,0.5,0,0;0,0,0.5,-0.5*1i;0,0,0.5,0.5*1i;0.5,-0.5,0,0];
Nlayers = size(layerArray,2);
Nlam = length(wavelengths);
layerMat = zeros(4,4,Nlam,Nlayers-2);
if strcmp(layerArra... |
function ColorSet=varycolor(NumberOfPlots, wrapBool)
% VARYCOLOR Produces colors with maximum variation on plots with multiple
% lines.
%
% VARYCOLOR(X) returns a matrix of dimension X by 3. The matrix may be
% used in conjunction with the plot command option 'color' to vary the
% color of lines.
... |
function [nodesID, coor, basestationID] = hearst_setting
nodesID = 1:50;
coor = [];
for i = nodesID
x = mod((i - 1), 10) * 8;
y = fix((i - 1) / 10) * 8;
coor = [coor; x, y];
end
% swap 21 and 1
temp = coor(21, :);
coor(21, :) = coor(1, :);
coor(1, :) = temp;
basestationID = 1;
|
function [trueOrFalse] = isThisALocalMedialPoint(pdeGeomPadded,parents,pt)
global debug;
global MMA_ABS_TOL;
global MMA_REL_TOL;
trueOrFalse = 1; % default
newParents = integerSet([]);
if (length(parents) ~= 3)
parents
error('Invalid input in isThisALocalMedialPoint');
end
for n = 1:length(parents... |
function affichegroupes(gpe, listeX, listeY, agit1, agit2)
plot(agit1(1), agit1(2), '*', 'color', 'r');
xlabel('m', 'Interpreter', 'latex');
ylabel('m', 'Interpreter', 'latex');
set(gca,'TickLabelInterpreter','latex')
xlim([0 0.265])%0.265
ylim([0 0.355])
hold on
text(agit1(1) + ... |
function p = codeit(str)
s=double(str);
for i=1:length(s)
if s(i)>=65 && s(i)<=90
s(i) = (65+90)-s(i);
elseif s(i)>=97 && s(i)<=122
s(i) = (97+122)-s(i);
end
end
p=char(s); |
function [Pbit, Pe, err_count, sym_err_count] = simulation_bound(Nbits, SNR)
bits = round(rand(Nbits, 1));
a = QPSKmodulator(bits);
sigma2_a = 2;
SNR_lin = 10^(SNR/10);
sigma2_wc = sigma2_a / SNR_lin;
wc = sqrt(sigma2_wc/2) .* (randn(length(a), 1) + 1j.*(randn(length(a), 1)));
y = a + wc;
[dec_bits, dec_syms] = QPSKd... |
function [data, tags] = loadAll()
files = dir('../data_test/*.csv');
%files = dir(filepath,'*.csv');
%files = dir('*.csv');
l = length(files);
disp(l);
disp(['numb of files',l]);
X1 = {};
i = 0;
tags = {};
for file = files'
i = i + 1;
%disp(i);
basename = strsplit(file.name ,'.');
%disp(file.name);
... |
function [time,quality] = local_update()
%clear all
%close all
%clc
load test.mat
Xn = T;
[n1,n2,n3] = size(Xn);
X = Xn;
% rule out the area obstructed by the building
bx = (n1*3/4);
by = (n2/4);
% original data considering the building
Xn = rule_out(bx,by,n1,n2,n3,Xn);
% find the real max
real_max = 0;
rx=0;
ry=0;... |
function training_data = balanceReactionsInTrainingData(training_data)
[MW, Ematrix, elements] = getMolecularWeight(training_data.nstd_inchi, 0);
training_data.Ematrix = Ematrix(:, 2:end); % remove H, columns are [C, N, O, P, S, e-]
elements = elements(:, 2:end);
conserved = training_data.Ematrix' * training_data.S;
... |
% generate timetag vectors
g{1}='bran3000_03d.l12';
g{2}='bran3010_03d.l12';
g{3}='bran3020_03d.l12';
g{4}='bran3030_03d.l12';
g{5}='bran3040_03d.l12';
igs{1}='jplg3000.03i';
igs{2}='jplg3010.03i';
igs{3}='jplg3020.03i';
igs{4}='jplg3030.03i';
igs{5}='jplg3040.03i';
res=[];
for ifile=1:5
itime=... |
function [eccentric] = kepler (mean_anomaly, eccentricity)
% [eccentric] = kepler (mean_anomaly, eccentricity)
% The subroutine kepler finds a solution to the
% kepler's equation.
%
% Input:
% mean_anomaly
% mean anomaly in radians.
% eccentricity
% eccentricity.
%
% Output:
% eccentric
% eccentric anomaly in radian... |
% compute the difference between the post- and pre-manipulation measurements
x = data2b - data2a;
%actial mean of data
actualval = mean(x);
% centering x
xcentered = x - mean(x);
% now, let's use bootstrapping to see what sort of x-values are likely
% to be observed given our sample size
vals = zeros(1,10000);
for p=1:... |
function dat = wwtoday( )
% wwtoday IRIS serial date number for current week.
%
% Syntax
% =======
%
% dat = wwtoday( )
%
%
% Output arguments
% =================
%
% * `dat` [ numeric ] - IRIS serial date number for current week.
%
%
% Description
% ============
%
%
% Example
% ========
%
... |
function [ f ] = objective_function( w, b_alpha, lambda )
%OBJECTIVE_FUNCTION returns the function value f(alpha)
% returns the SVM dual objective function f(alpha) , which is
% -equation (4) in the paper.
% The arguments are w = A*alpha and b_alpha = b'*alpha.
f = lambda/2 * (w'*w) - b_alpha;
end % object... |
%% TENSOR_RANK_ITERATE Numerically estimates an optimization over states with tensor rank <= k
% This function has one required argument:
% X: a square positive semidefinite matrix
% K: a positive integer
% DIM: a vector with positive integer entries
%
% val = tensor_rank_iterate(X,K,DIM) is a lower... |
x=[0 3 6 10 11 15];
f=[6.7 8.2 9.5 12.0 14.9 18.5];
plot(x,f,'or')
[p1,s1]=polyfit(x,f,1)
xaux=0:0.1:15
yaux=polyval(p1,xaux)
hold on;
plot(xaux,yaux,'b')
[p2,s2]=polyfit(x,f,2)
yaux2=polyval(p2,xaux);
hold on
plot(xaux,yaux2,'g')
[p2,s2]=polyfit(x,f,2) |
function [] = basicGOL(steps)
% [] = basicGOL(steps)
% https://cs.wikipedia.org/wiki/Hra_života#Algoritmus
n=100; % počet řádků a sloupců
t=steps; % čas
U=rand(n); % matice s náhodnými elementy
p=0.25; % počáteční poměr
A=(U<p); % počáteční matice se kterou se hraje
B=zeros(n); % pomocná matice, kam zapisuji další ite... |
clear all;
clc;
SingCellNetGUI(); |
clear;
%% Maintaining a constant seed for experiment reproducibility
s = RandStream('mcg16807','Seed',0);
RandStream.setGlobalStream(s);
%% Creating the DBN node structure
intra = zeros(2);
intra(1,2) = 1; % node 1 in slice t connects to node 2 in slice t
inter=zeros(2);
inter(1,1)=1; % node 1 in slice t-1 connects ... |
%Removes directory and contents
%note that rmdir will fail if the directory does not exist.
%caviar version
clear all
task_prfx='categ';
sess_prfx = 'sess';
fs = filesep; %file sep
%dir_start = '/Users/dharshankumaran/Documents/TINF_FMRI_data';
dir_base = '/Users/dharsh/Documents/Self_FMRI_data/func... |
function [movie] = predic(MovObj, NumPredic)
%UNTITLED Summary of this function goes here
% Pasamos vídeo en VideoReader y devolvemos movie avi
nFrames = MovObj.NumberOfFrames;
movie = avifile('Video1.avi');
for i = 0 : (floor(nFrames/NumPredic)-1)
frame = im2double(read(MovObj, (i*NumPredic)+1));
movie = a... |
% Finds X that minimizes
% 1/2 || X - Y ||_F^2 + tau || X ||_*
function X = singular_value_soft_threshold(Y, tau)
[m, n] = size(Y);
%disp(['Computing ' num2str(m) ' x ' num2str(n) ' SVD...']);
[U, S, V] = svd(Y, 'econ');
s = diag(S);
s = max(0, s - tau);
X = U * diag(s) * V';
end
|
function [ Se ] = Stress( E,C,s,v,TYPE,displacement )
% Siffness matrix in global coordinates [Ke]=(AE/L)[B'][B]
% [B] is the matrix that relates strains to displacments
% E is modulus of elastcity of the element
% L is the length of the element
% A is the area of the element
% v is Poisson's ratio
% ... |
function [erd,time,P,R] = compute_ERD(epochs,channelEEG,rate,intervalBaseline,freq,win,noverlap)
%COMPUTE_ERD Summary of this function goes here
% Detailed explanation goes here
erd = [];
nChannel = length(channelEEG);
for iChannel = 1:nChannel
theseEpochs = epochs.data(:,channelEEG(iChannel),:);
for i... |
function output=mask_analysis(data,mask_data,voxel)
% claculate the volume and mean HU for whole-lung
% Input: exp image, exp label, voxel size
% Output: volume and mean HU
% Specify mask: default is Heidelberg (Right=[1 3], Left=[4 6])
maski = {1:6};
mask = ismember(mask_data,[maski{:}]);
output(1,1)=sum(mask(mask))... |
%knn學生角度
function ans=stufill2(M,k)
rs=M;
tt=M;
cnt=0;
while(sum(sum(isnan(rs)))>0)
cnt=cnt+1;
if(cnt>5)
break;
end
for i=1:size(rs,1)
imv=sort(rs(i,:),'descend','MissingPlacement','last');%目標stuvec
imv(isnan(imv))=[];
nei={};
nei.dis=[];
nei.kn=[];
for j=1:size(rs,1)
if... |
% Testing various ways to do Spectral Mseq
clear
%% Bounce between two frequencies
fs = 48828;
f1 = 500;
f2 = 550;
dur = 1;
t = 0:1/fs:dur-1/fs;
fm = 5;
x1 = sin(2*pi*f1.*t);
x2 = sin(2*pi*f2.*t);
sqt = linspace(0,2*pi*fm*dur,length(t));
AM = 0.5*(sin(2*pi*2*fm.*t)+1);
A = square(sqt);
A = (A+1) /2; %make A a sqaure... |
%% WRITEPARREC Write a Philips PARREC image file
%
% [SUCCESS] = WRITEPARREC(FILENAME,DATA,INFO)
%
% FILENAME is a string containing a file prefix or name of the PAR header
% file or REC data file, e.g. SURVEY_1 or SURVEY_1.PAR or SURVEY_1.REC
%
% DATA is an N-dimensional array holding the image data.
... |
function gaussianKernel=buildGaussianKernel(xDim,yDim,sigma,kernelWeight)
gaussianKernel=zeros(yDim,xDim);
xCenter=xDim/2;
yCenter=yDim/2;
sigma=sigma*yDim;
for i=1:xDim
for j=1:yDim
gaussianKernel(j,i)=(1/(2*pi*sigma^2))*exp(-((i-xCenter)^2+(j-yCenter)^2)/(2*sigma^2));
end
end
% Normalize kernel
gau... |
% This file needs to be ran after dynare finished its computations
% First thing what we do is calculate steady state & then specify parameters
% needed for second order welfare approximation.
% This code calculates welfare. It corresponds to the model in the second
% chapter.
% before running this file dont clear the ... |
% ************************************************************
%
% shaded.m
%
%
% Author: Jonas Tillman
% Date: 2017-04-16
%
% ************************************************************
%
clear
format short
pkg load image
#Load DEM
load DEM.txt;
#ALLOW FOR USER INPUT, pos of sun, convert to radi... |
% 30/05/19
close all
clear all
load acmod
load('./results/eightExp_001');
ac.p_exp = 0.25;
N = (length(Z)-2)/18;
dsSoln = struct;
dsSoln.N = N;
dsSoln.p_exp = ac.p_exp;
VR = Z(end-1); dsSoln.VR = VR;
tf = Z(end); dsSoln.T = tf; dsSoln.t = linspace(tf/N,tf,N).';
% X = [u,v,w,p,q,r,Phi,Thet,Psi,x,y,z,df,da,de,dr,CT... |
function [] = delta_rule_steps(inp, out, beta)
[m n] = size(inp);
w = [];
s = -1;
sth = -1;
for (i = 1:n)
w(i) = rand(1);
end
e = 1;
while (e == 1)
e = 0;
for (i = 1:m)
y = 0;
for (j = 1:n)
y = y + inp(i,j) * w(j);
end
s = y;
if (s > 0)
sth = 1... |
function ideal = idealFun(n)
switch n
case 1
ideal = @(t) - 2*exp(-t) - 3*exp(-t/6) + 5;
case 2
ideal = @(t) exp(-t/5).*cos(t) + exp(-t/5).*sin(t);
case 3
ideal = @(t) cos(t);
case 4
ideal = @(t) exp(2*t).*(-10*cos(4*t) - 7.5*sin(4*t));
case 5
ideal = @(t) 1.7... |
function colorLine(X,Y,rgb);
%function colorLine(X,Y,rgb);
%
% wraps 'line' and sets color to rgb
if(nargin < 3)
line(X,Y);
else
h = line(X,Y);
set(h,'Color',rgb);
end |
function RRTree = PlotAndAdd(xP,yP,x,y,RRTree,k)
%Plot the Point
hold on
plot(x,y,'g+');
%Make a Connection
Color = 'r';
PlotLine(xP,yP,x,y,Color);
%Add Node to tree
RRTree=AddNode(xP,yP,x,y,RRTree,k);
end |
%sherpaTTJacobianSymbolicAnalysis.m
%author: wreid
%date: 20150121
%This script is used to generate the Jacobian that maps the velocity of a
%Sherpa_TT's leg joint space to the leg's wheel/ground contact point.
%The inverse Jacobian is calculated. This allows the leg's contact point
%rates to be mapped to the joint ra... |
function size_populationana_simple
% % Scnn Halo
% %SCNN Population
% animalids = {'140618', '140619', '140620', '140703', '140703', '140704', '140709', '140709', '140711', '140715', '140717', '140717', '140806', '140806', '141024', '141028', '141103', '141110', '141112', '141112', '141113', '141201', '141201b', '141... |
function [t, y] = adaptiveRK34(f, y0, t0, tf, tol)
h0 = (abs(tf-t0).*tol.^(1/4)) ./ (100*(1+norm(f(t0, y0))));
h = h0;
i = 1;
t(i) = t0;
y(i) = y0;
errold = tol;
while t+h < tf;
[ynew, err] = RK34step(f, y(i), t(i), h);
y(i+1) = ynew;
t(i+1)=t(i)+h;
h=newstep(tol, err, errold, h, 4);
i=i+1;
end
%Vad händer om h blir j... |
function [S] = l_calculate_coefficient(IDP,ntime)
% computes the linear interpolation weights
% Please citing:
% Guo, Z., H. Pan, A. Cao, and X. Lv (2018), A harmonic analysis method adapted to capturing slow variations of tidal amplitudes and phases,
% Cont. Shelf Res.,... |
function [sigma_new,hvar_new,aux_var] = rmapfi_elas_barra2D (eps_new,hvar_old,Eprop,ce)
%******************************************************************************************
%* RETTURN-MAPPING (TENSOR DE TERNSIONES) PARA BARRAS EN 2D *
%* MODELO ELASTICO ... |
%% ArtO2Cnt CVO2Cnt ArtPO2 CvPO2 ArtO2Sat CvO2Sat Hgb HCT
BloodGasMeasurementReading;
% this pigs does not have blood gas measurements, thus CPP140 is deleted
% from analysis for now!
CPP(end) = [];
%% Metabolic signal
% Control{SpecimenPairs(i,1)} = ATPconcentration(Control{SpecimenPairs(i,1)});
%
% An... |
%% image change
% Randomly load image. After seperating R,G,B, chage the data as R multiplied by 0.8, G by
% 0.6, B by 1,2 and create another color image.
%% code
% load image
x = imread('ironman.jpg');
% seperate R, G, B
R = x(:,:,1); G = x(:,:,2); B = x(:,:,3);
% adjust R,G,B
R = R * 0.8; G = G*0.6; B = B*1.2;
%... |
function lol = findFFTMean()
load('C:\Users\Simon\Documents\aKandidat\Exchange students\Canada-project\ourCode\Shimmer Matlab Instrument Driver v2.8\Data\Cut\Yao\New Folder\left.mat')
load('C:\Users\Simon\Documents\aKandidat\Exchange students\Canada-project\ourCode\Shimmer Matlab Instrument Driver v2.8\Data\Cut\Yao\Ne... |
function [outVid1, outVid2, TSFile] = twoCameraAcquisition(path, recTime, vid1, vid2, colPos, notes)
%Inputs:
%
%path - output filepath
%trialLength - trial length (in seconds)
%vid1 and vid2: nest and foraging camera objects
%colPos: position of current colony within tracking Arena (positions 1-12)
%t: Overall ... |
function [u_s_signal,new_xaxis,newlines] = u_sample(signal,...
xaxis,n_directions,n_lines,resample_factor)
% function [u_s_signal,new_xaxis,newlines] = u_sample(signal,...
% xaxis,n_directions,n_lines,resample_factor)
%
% U_SAMPLE resamples the i... |
%% Stelling 1
%
% Een functie kan niet meer dan 1 input hebben.
%
Antwoord = NaN; % vul hier het juiste antwoord in 1 (WAAR) of 0 (ONWAAR)
|
%% Alumnos
% Ulmete, Nicolás
% Pérez Leonardi, Mariángeles
%% Reset
clear;
clc;
%% Creación de la matriz
A = 1:20;
for i = 2:20
A(i,:) = A(1,:).^i;
end
%% Cálculos
determinante = det(A);
fprintf('DETERMINANTE: %e\n', determinante);
inversa = inv(A);
disp('================================================ INV... |
% MIRT2D_GRID2NODES transforms the dense gradient to the
% gradient at each node (B-spline control point).
%
% Input
% ddx, ddy - the gradient of similarity measure at each image pixel
% in x and y directions respectively
%
% F - is a precomputed matrix of B-spline basis function coefficients, see.
% mirt2D_F.m file
... |
clear all
close all
% load example data
exampledata = load('Processed_Data.mat')
% get spacing parameters
% FIXME - hack - spacing error ?
PASpacing = [ exampledata.DepthPA(2) - exampledata.DepthPA(1),...
exampledata.WidthPA(2) - exampledata.WidthPA(1),...
(exampledata.ElevPA(2) - ... |
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