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function d = display(a)
% DISPLAY -
%
disp(' ');
disp([inputname(1),' = '])
disp(' ');
disp([' ' char(a)])
disp(' ');
|
function filter_upd_pmb=TPMB_all_projection_cov_oos_round(filter_upd,T_alive,Nx,k,Lscan)
%This function obtains the best fitting trajectory PMB to the updated
%trajectory PMBM based on KLD minimisation
%This version includes the covariance matrix for hypotheses that consider dead trajectories
%It is also tailored fo... |
function [ I ] = gammaCorrectImage( I, gamma )
% Tao Du
% taodu@stanford.edu
% Feb 12, 2015
%
% Do gamma correction for image I.
% Input: I: a height x width x 3 image.
% gamma: a scalar, typically 2.2.
% Output: I: the corrected height x width x 3 image. The range is (0, 1).
% Use gamma = 2.2 by default.
if na... |
function [value, isterminal, direction] = event_function1pop(t,x,beta, gamma, mu, alpha,lambda,tol1)
Z = TwohostOnepopODE(t,x,beta, gamma, mu, alpha,lambda,tol1);
%this function just checks see if the ode45 has reached equilibrium or not
%if the norm of the derivative values is less then tol1, it is assumed
%eq... |
function [perfusionMap,perfusionMap_filtered,perfusionMap_prefiltered] = calculatePerfusion(ASLmeas,ASLm0,ignore)
% CALCULATEPERFUSION Is used for ASL scans. It is not very optimized!
% Temporary function, do not use this for any real research.
% USAGE:
% [perfusionMap,perfusionMap_filtered,perfusionMap_prefiltered] ..... |
function delg = gradsigmoid(z)
# delg = gradsigmoid(z) returns the gradient of the sigmoid function
# evaluated at z.
# It computes the gradient of the sigmoid function evaluated at z.
# where z is a matrix/vector/scalar. If z is a vector or matrix, gradsigmoid returns
# the gradient for each element.
t = sigmo... |
%set global constants
global showPlots syncBits syncSymbols Lh
if ~exist('GSMtop','var')
error('You need to execute GSMsim_config while in GSM config folder')
end
showPlots=1; %use 1 to show plots
Lh = 4; %the assumed channel dispersion. It will determine
%the length of the impulse response estimated b... |
function F = EstimateFundamentalMatrix(x1, x2)
%% EstimateFundamentalMatrix
% Estimate the fundamental matrix from two image point correspondences
% Inputs:
% x1 - size (N x 2) matrix of points in image 1
% x2 - size (N x 2) matrix of points in image 2, each row corresponding
% to x1
% Output:
% F - s... |
function output=rereference_CAR_median(data,mode,badChannels,permuteOrder,channelReference,channelsToUse)
% Function to either common average, or median rereference,
% while excluding bad channels.
%
% data is either time x channels, or time x channels x trials
% bad_channels is a list of bad channels as output
% leave... |
function writeMIP(reader,v)
%writemip Takes a reader and videowriter and writes the maximum intensity
%projection of each timepoint to videowriter
for time = 1:reader.getSizeT
mip1 = calculateMIP(reader,1,time);
mip2 = calculateMIP(reader,2,time);
frame = cat(3,im2double(mip1),im2double(mip2),zeros(size(mip... |
function v = kinetics_get(n, job, a, b, c, d, e, f)
% KINETICS_GET - get kinetics attributes
%
if nargin == 2
v = ctmethods(40, n, job);
elseif nargin == 3
v = ctmethods(40, n, job, a);
elseif nargin == 4
v = ctmethods(40, n, job, a, b);
elseif nargin == 5
v = ctmethods(40, n, job, a, b, c);
elseif ... |
fc_tools.utils.cleaning()
N=10;
options={'perm',@(A) colamd(A)};
[bvp,info]=fc_vfemp1.examples.setBVPCondenser2D01(N,2);
fc_vfemp1.examples.print_info(info)
fprintf('*** Solving %s\n',info.name)
[U,SolveInfo]=bvp.solve('time',true,options{:});
fprintf(' -> ndof (number of degrees of freedom) = %d\n',length(U));
fc_... |
function[ infoRatio ] = InfoRatio( nav, benchmark)
%这个函数用于计算Information raio
%[ infoRatio ] = infoRatio( nav, benchmark,)
%nav: 净资产
% benchmark:基准净资产
% ——————————
% 唐一鑫 20150511
%% main
delta = evl.nav2yield(nav)-evl.nav2yield(benchmark);
sigma = std(delta)*sqrt(365);
infoRatio = (evl.annualYield(nav)-e... |
function [ ] = createDIMACSfile( bubStructList )
% CREATEDIMACSFILE Summary of this function goes here
% This function takes in list of Bubbles (struct) obtain from MSER.
% Arcs are created, and additional information are formed and
% converted to DIMACS format which is then write into a text file.
% The text file ... |
function makeCubicPerms
rowIdx = 1;
for i = -3:3
if i == 0
i = i + 1;
end
for j = -3:3
for k = -3:3
for m = -3:3
perm{rowIdx,1} = i;
perm{rowIdx,2} = j;
perm{rowIdx,3} = k;
perm{rowIdx,4} = m;
rowIdx = rowIdx+1;
... |
% 神奇的函数系列，可以用于将手拍图像处理的和扫描一样的骚操作、
%% demo
I = imread('printedtext.png');
figure
imshow(I)
title('Original Image') %以上输入原始图像并展示（实际操作只需前两句）
BW = imbinarize(I,'adaptive','ForegroundPolarity','dark','Sensitivity',0.4); %暂时没搞懂的最核心的一句，先放着
figure
imshow(BW)
title('Binary Version of Image') %嗯结果，被阴影挡的看不起的地方也可以扫的非常... |
% Function:
% [shape, pglobal, visible] = faceAlign(img, Model, l_shape, b_opm)
%
% Usage:
% This function localizes facial landmarks in a facial image or tracks
% the facial landmarks in an image sequence. For tracking, each frame of
% a video is sent as an input image and the tracked facial landmarks in
% ... |
basepath='C:\Users\60069978\Documents\MATLAB\medicion37\radio6\';
files=dir(fullfile(basepath,'*.png'));
for q = 1:2
L=length(files)/2; %porque tengo dos capturas de cada radio
radio=nan(L,1);
Profiles=nan(2048,L);
k=0;
for f = files'
I=imread(fullfile(basepath,f.name));
... |
load('genesPhenes.mat')
fout = fopen('ggi_weighted.txt', 'w');
[row, col, v] = find(GeneGene_Hs);
nData = size(row);
genes = 12331;
total_values = nData(1)
fprintf(fout, "%d %d\n", genes, total_values);
formatSpec = "%d %d %f\n";
for iData = 1:total_values
if mod(iData,10000) == 0
disp('10000 data complete... |
function [S0,P0,P1] = kf_SWR(Y,Q,R,Sm,SI,PI,T);
% [S0,P0,P1] = kf_SWR(Y,Q,R,Sm,SI,PI,T);
% This file performs the forward kalman filter recursions for the Stock-Watson-Romer model.
% Y is inflation
% Q,R are the SW state innovation variances
% Sm is the standard deviation of the measurement error
% SI,PI ar... |
% ------The configuration structure-------%
cfg=[];
cfg.layout=layout32;
cfg.comment='no';
cfg.layout.pos([33 34],:)=[]; % The stucture consists of 34 channels and -COMNT AND -SCALE labels are removed
cfg.layout.width([33 34],:)=[];
cfg.layout.height([33 34],:)=[];
cfg.layout.label([33 34])=[];
%--------T... |
classdef Plane < DynSys
properties
% Angular control bounds
wMax
% Speed control bounds
vrange
% Disturbance
dMax
end
methods
function obj = Plane(x, wMax, vrange, dMax)
% obj = Plane(x, wMax, vrange, dMax)
%
% Constructor. Creates a plane object with a u... |
function resultS = result_settings
% Min no of observations for computing cohort fit
resultS.fitMinObs = 15;
end |
function qx = quantfilt1(x, quantile, span, varargin)
%
% qx = quantfilt1(x, quantile, span, [tail_option])
%
% quantfilt1() is a span-order quantile filter for one-dimensional arrays
% quantile is the proportion of the window data whose value is returned at the center of each window
%... |
%% supposed to fix the timing issues
function t = fixTiming(t)
for i = 1:(length(t))
check = t(i,1);
count = 0;
while (check == t(i,1)) && ((i+count) <= numel(t))
count = count +1;
if (i+count) < numel(t)
check = t(i+count,1);
end
end
for j = 2:count
... |
% Fonction cible pour le système de Mackey - Glass
% ************************************************
if ~exist('outTitle','var')
disp('Fonction cible');
else
if outTitle
disp('Fonction cible');
end
end
%% 1 - Paramètres
%% 1.1 - Délai
if ~exist('tau','var')
tau = 17;
drapTau = 0;
else
... |
function [data] = pitot_remove_waves(data)
%%
dt = diff(data.time(1:2))*3600*24;
%_____________________low pass 100 sec______________________
f_low = dt/30;
data.spd = qbutter(data.spd,f_low);
data.Pdym = qbutter(data.Pdym,f_low);
data.V_cal = qbutter(data.V_cal,f_low);
data.U = qbutter(data.U,f_low);
dat... |
load 'input_data/ACTEWAGL/helm_input_wd.mat';Result_File='forecast_result/ACTEWAGL/layer1/helm_forecast_result_wd.csv'; NumberofHiddenNeurons=148;
%load 'input_data/ACTEWAGL/helm_input_lwd.mat'; Result_File='forecast_result/ACTEWAGL/layer1/helm_forecast_result_lwd.csv'; NumberofHiddenNeurons=208;
%load 'input_data/ACT... |
function out = donotch(data,sr)
% applies notch filtering at 60 and 120 Hz to a time series
% data is a matrix of data (to be filtered along first non-singleton
% dimension -- i.e., each column a variable)
% sr is the sampling rate (in Hz)
dt = 1/sr;
%%%%%%%% apply notch filter %%%%%%%
% notch at 60 Hz
wo = 60/(sr/2)... |
classdef ExperimentReportGenerator < handle
properties
exp_file_list;
exp_id;
exp_hostname;
end
methods
function obj = ExperimentReportGenerator(exp_id,exp_hostname,dir_prefix)
if nargin<=1
exp_ho... |
function [fits, sems, th] = getML_psyPerformanceDD(fn, recompute)
% use [fits(:,i),sems(:,i)] = ctPsych_fit(@ddExp3, d(:,1:3), d(:,4));
% to get behavioral threshold
if nargin < 1
return;
elseif nargin < 2
recompute = 1;
end
if recompute
a = getML_txt(fn);
fname = a.data{strcmp(a.name,'dat_... |
% XXXXXXXXXXXXXXXXXXXXXXXXXXX sus_cri XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
%
% Author : Susanti
% Date : Aug 1 2014
% Function :
% Syntax : sus_cri(data_input, net)
%
%
% Algorithm -
% XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
function y = sus_cri(data_inpu... |
%% select_01
% finds booleans for occurences of members of taxon among members of taxon_src
%
function [sel, taxa_src] = select_01(taxon_src, taxon_sel)
% created 2016/04/12 by Bas Kooijman, modified 2017/06/14
%% Syntax
% [sel, taxa_src] = <select_01.m *select_01*>(taxon_src, taxon_sel)
%% Description
% Finds boole... |
function [fvt] = ftWav(ft,t)
%evaluates the time component of the control corresponding to the specified
%basis function no. ft
%ftLin uses as basis the (hirarchical) ordered subspace of piecewise linear
%functions
%ATTENTION: ftLin uses te, which has to be defined accordingly to runIoMap
te = 0.1;
tif = sqrt(1/te);
... |
function w = gen_hermite_compute_weights_np ( order, np, p )
%*****************************************************************************80
%
%% GEN_HERMITE_COMPUTE_WEIGHTS returns the weights of a Generalized Hermite rule.
%
% Licensing:
%
% This code is distributed under the GNU LGPL license.
%
% Modified:
%
... |
%penyelesaian kasus menggunakan metode WP
clc;clear; %untuk membersihkan jendela command windows
opts = detectImportOptions('wp_123190133.xlsx'); %mengimport data excel
opts.SelectedVariableNames = (3:5);%mengambil data dari kolom 3-5
data1 = readmatrix('wp_123190133.xlsx',opts); %membaca matrix dari data
opts... |
function [attIFest wIFest] = oneStepEstimator(attIF, wIF, Tsample)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
attIFest = attIF;
wIFest = wIF;
end
|
startup;
compile;
matlabpool open 4
clusters = [1 3 4]
families = textread('families.txt', '%s')
for i = 1:size(families)
for j = 1:3
families{i}
n = clusters(j)
train_a_model(families{i},n)
end
end |
function b = fn_interprows(a,subrate,method,extrap)
% function b = fn_interprows(a,subrate[,method[,extrap]])
%---
% interpolate to account for delays between different rows
% demultiply frames according to subrate [default=1]
% method and extrap arguments are as for interp1 function
% Thomas Deneux
% Copyright 2006-... |
function result = is_cart_coordinate_data(x,y,z)
if is_double(x) && length(x) == 1 && isreal(x) &&...
is_double(y) && length(y) == 1 && isreal(y) &&...
is_double(z) && length(z) == 1 && isreal(z)
result = 1;
else
result = 0;
end
|
%% Current Experiment
experiment.clock = cell(1,2);
experiment.clock{1} = clock;
experiment.session = ['S' num2str(experiment.number,'%02u') '.' datestr(now,'yy.mmm.dd.HH.MM.SS')];
experiment.direct = [ direct.DataResultsRoot experiment.session '\' ];
mkdir( experiment.direct )
experiment.dataFile = [ experiment.dir... |
function InteractiveSimDlg
% This function creates a msgbox when "Interactive Simulation" is checked from the SimSetupFig
global vinf
if exist('Interactive_msg.m')
assignin('base','dont_show',0);
[vdoc_image,vdoc_image_map] = evalin('base','imread(''advisor.bmp'',''bmp'')');
interactive_description_msg=['By... |
% Save_IterSummary - Saves data from each run to file
% Called by: Save_Run
% Calls: (none)
% V02 - 12/30/2013 VC
% ©MathEcology, LLC 2013 - Colleen R. Burgess
%--------------------------------------------------------------------------
function Save_File(filepath, filename, colbasename, data)
% SAVE_FILE Saves data ... |
function rg = vectorToGrid(vec, nh)
rg = zeros(nh, nh);
for j = 1:nh;
for i = 1:nh;
rg(i, j) = vec( ( j-1) * nh + i );
end;
end;
end |
DRUG = 'etazolate';
SAVE = 0;
lat = 40;
winsize = 100;
db = loaddb;
f = figure; set(f, 'visible', 'off');
% iterate over all cells
cells = unique(db.cell);
%cells = {'romeo0344'};
sigs = []; signs = [];
basal = [];
for celln = 1:length(cells)
fprintf('----> %s\n', db.cell{celln})
% iterate over all etazolat... |
function [err, errP] = emo_nnError(errorType, Y, T, RAW_ERROR)
%
% Input:
% RAW_ERROR :
% errorType : (optional) error calculation
% 1 : abs(error)
% 2 : sum-squared error (divided by 2)
% (default: 2)
%
% Output:
% err : The error calculation^M
% errP: gra... |
function imgOut = filterGabor(imgIn,sigX,sigY,f0,phi,sizeW)
[rows cols ~] = size(imgIn);
% Preparacion de la imagen
a = (39-1)/2;
for i=1:rows
aux2(i+a, 1:a ) = imgIn(i, a:-1:1 );
aux2(i+a,cols+1:cols+a) = imgIn(i,end:-1:end-a+1);
end
for j=1:cols
aux2( 1:a, j+a) = imgIn( a:-1:1, ... |
function Moments = uq_student_PtoM(nu)
% Moments = UQ_STUDENT_PTOM(Parameters) returns the values of the
% first two moments (mean and standard deviation) of a Student's t
% distribution based on the specified degrees of freedom nu
if nu <= 1
mu = nan;
sigma = nan;
elseif nu > 1 && nu <= 2
mu = 0;
sig... |
%% Paweł Antkowiak
%Projekt 4
%Aparatura
clear
clc
close all
%% Obliczenia
dw=1;%[m]
dn=0;%[m]
p0=8e5;%[Pa]
kr=240e6/1.65;%[Pa]
c1=0.002;
c2=0.001;
c3=0.0008;
err=1;
g(1)=15e-3;
i=1;
while err>1e-5
dz(i)=dw+2*g(i);
beta(i)=dz(i)/dw;
om(i)=dn/sqrt(dz(i)*g(i));
z(i)=wspz(om(i));
g1(i)=p0*dz... |
close all;
clear all;
% Load data
datafile = 'C.mat';
load(datafile);
data = rawStarData;
x_data = data(:,1:4);
y_data = data(:,5:8);
% Check for missing stars
x_check = x_data == 1023;
y_check = y_data == 1023;
data_check = x_check & y_check;
numStars = 4-sum(data_check,2);
ndata = size(data,1);
x_da... |
%%
%EP 501 Homework 2
%Julio Guardado
clc; clear; close all;
%% Problem 1, Part a: first root of 0 order bessel function
%define function and setup
rho = linspace(0,20,200);
eta = .01;
maxit = 100;
tol = 1e-9;
f_rho = besselj(0,rho);
%plot function to find initial guess
figure(1);
plot(rho,f_rho)
xlabel('\rho');
yla... |
function [ tomoAngles, z ] = tomoAngleCircluarGeometry( geom, scanAngle, z )
% compute tomographic angles for circular geometry tomosynthesis system
%
% Meng Wu at Stanford University
% 2013
if nargin < 3
z = - 250: 1: 250;
end
% detector size
ldet = geom.detSize(1) * geom.detSpacing(1);
% half scan angle
beta =... |
path_n='E:\GSK\ActCh\P10_sc_disect';
EIT_fname = 'CR_EIT019_T_EIT_85uA_6kHz_20s_200ms_Prt1_ref1_CRUSHED.vhdr';
Prt_name='Prt_1.txt';
map_p=[ 3 4 7 8 9 12 13 14 15 16 19 21 22 23 26 27 28]-1; % Montage
map_=[ 3 4 7 8 9 12 13 14 15 16 19 21 22 23 26 27 28]; % Actual numbering
EP_cutoff =... |
function level_difference = leveldif(left_X,right_X)
% function level_difference = leveldif(left_X,right_X)
%
% LEVELDIF evaluates the interaural level difference by the following method.
% The transfer functions of the external ears are filtered by a
% ROEX-filter (see EARFILT) with the... |
function [] = checking_data_saving_time(File_name)
%input
%sample calling:
% wifi_reader_fazlay('1', '.\Kamran_Pass\Kamran_Pass_3.dat', '100', '13000', '0', '0.8', '200', '300', '0.055','0.063', '0.055','0.063','2','4','1','1','Authenticate_Ali')
Mov_avg_Len = 1; % Averaging readings over Mov_avg_Len*0.4ms
Param = 'L... |
function varargout = edl_siglib(varargin)
% UNCLASSIFIED: Ed Limbaugh's personal signal processing toolbox.
% library = edl_siglib();
% --> library.sinc_no_pi(x)
% --> library.time2scans(N, Fs)
% --> y = edl_siglib('sinc_no_pi', x);
% --> ... many other handy functions.
% By default, we'll return a (library)... |
function h=min_L1_norm(X,w_init,Y,lambda,max_iter)
n=size(X,1);
gamma=n/2/norm(X'*X);
not_converged=true;
w=w_init;
iter=1;
while not_converged
w_next=soft_thresholding(w-2*gamma/n*X'*(X*w-Y),lambda*gamma);
err=sum((X*w_next-Y).^2+lambda*sum(abs(w_next)));
err_prev=sum((X*w-Y).^2+lambda*sum(abs(w))... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Symmetry Based Analysis of Facial Expressions Partially Occluded Due to Head Motions
% Version : 1.0
% Date : 01.2.2017
% Author : Mehdi Ghayoumi
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function [B,x,y,zx,zy]=VL(T,P,z,comp)
K=zeros(size(z,2),size(z,2));
K=zeros(size(z,2),size(z,2));
R=8.314;
kz=zeros(size(z))+1e+6;
kz=(comp.Pc./P.*exp(5.37.*(1+comp.w).*(1-comp.Tc./T)));
[B,x,y,zx,zy]=twophaseVL(T,P,comp,K,z,kz)
function [B,x,y,zx,zy]=twophaseVL(T,P,comp,K,n,k)
R=8.314;
n1=.5;
er1=1;
er2=0;
a=1;
kk=50... |
function [S,I,R] = SIR-PC(So,Io,Ro,a,b,t,n)
%asigancion de datos iniciales
h=t/n;
S(1)=So;
I(1)=Io;
R(1)=Ro;
s=So;
i=Io;
r=Ro;
for j=1:n
S(j+1)=S(j)+(h*0.5)*(s+b*S(j)*I(j)*h);
I(j+1)=I(j)+(h*0.5)*(i+I(j)*(b*S(j)-a)*h);
R(j+1)=R(j)+(h*0.5)*(r+a*I(j)*h);
[s,i,r]=Predictor(S(j+1),I(j+1),R(j+1),a... |
%% PlacePiece
% Author - Tanishq Jain
% Uses the piece id and background color to determine the image tranform
% to be used so as to merge with background square
% Argument -bg_color = background tile color 0:black,1:white
% square_state =
% 0 - Empty
% 1 - pawn
% 2 - rook
% 3 - knight
% 4 - bishop
% 5 - queen
% 6 - ... |
% this file is to create database
clc;
clear all;
close all;
d={'P1','P2'};
FD=vision.CascadeObjectDetector;
kk=1;
h=waitbar(0,'Please wait creating database');
for dd=1:length(d)
F=dir(d{dd})
F=char(F.name)
sz=size(F,1)-2;
for ii=1:sz
str=F(ii+2,:);
cd(d{dd})
I=imread(str);
... |
function a=find(lib,X,Y)
t = 0;
p = lib.path;
for x = 1:length(p)
s = p(x);
if sum(s.xc == X & s.yc == Y)
% if sum(s.yc == Y)
t = t+1;
a(t) = s;
end
end
[a.xc' a.yc']/1e3
a.xc(1)-7493
a.xc(3)-5743
a.xc(2)-5743
a = library([],lib.name,lib.units,a);
|
clc;
close all;
clear all;
%% DATOS
mu = 398600; % km^3/s^2
rT = 6371; % km 637
i = deg2rad([5, 46]); % rad
rP = rT + 600; % km
w = 2*pi/86164; % rad/s
R_GEO = (mu/w^2)^(1/3);
%% Apartado A
ri = rP;
rf = R_GEO;
% Ciruclar
vci = sqrt( mu/ri )
vcf = sqrt( mu/rf );
% Elpi... |
function [number] = read_train(root,ni,n)
% ni为读取图片张数，n为文件夹数目
%========读取负样本的图片========%
out_Files = dir(root);%展开，out_Files存储64个文件名包括.,..。
tempind=0;
imglist=cell(0);
%========按temp的要求读取文件数========%
for i = 1:n+2;
if strcmp(out_Files(i).name,'.')|| strcmp(out_Files(i).name,'..')
else
rootpath=strcat(ro... |
close all
clear
clc
nat_frequencies = [];
damping_ratios = [];
% loop through all tests in exp3
for i = 1:10
fp = strcat('Rectilinear/exp3_test', num2str(i), '.txt');
data=textread(fp,'','headerlines',22); %reads text file
time=data(:,1); %time vector
disp=data(:,5)... |
function [] = pricing_tf_design_3()
clear all; rehash
sigma = 0.3;
r = 0.05;
T = 60;
S0 = 1;
%% 生成二叉树根
pricer = BinomialPricer;
% pricer.set_params_from_optPricer(oi);
%% 手动设置参数
pricer.T_ = T;
pricer.S_ = S0;
pricer.u_ = exp(sigma * sqrt(1/365));
pricer.d_ = exp(-sigma * sqrt(1/365));
pricer.r_ = r;
... |
function [fig] = plot_Turb(basedir, pflag, is_visible, runname)
% plot_Turb.m
%
% load Turb.m and plot all of the variables that have been processed
%%%%%%%%%%%%%%%%%%% DEFINE PARAMETERS %%%%%%%%%%%%%%%%%%%
% RUNNAME
% Name of folder in which Turb.mat is saved (folder within ../proc/)
% For example, if Turb.mat is i... |
function varargout = make_zstackView(varargin)
% MAKE_ZSTACKVIEW MATLAB code for make_zstackView.fig
% MAKE_ZSTACKVIEW, by itself, creates a new MAKE_ZSTACKVIEW or raises the existing
% singleton*.
%
% H = MAKE_ZSTACKVIEW returns the handle to a new MAKE_ZSTACKVIEW or the handle to
% the existing si... |
function [reconstructed_vid] = stripes2frames(vid_tensor,parameters)
X = vid_tensor.data;
% [p,q]- size of the frame
p = vid_tensor.frame_size(1);
q = vid_tensor.frame_size(2);
patch = parameters.patch;
K = size(X,3);
reconstructed_vid = zeros(p,q,K);
for k = 1:K
for i=1:p/patch
for j=(i... |
classdef TrialInstruction < WBTrial
properties
screenNum = 0;
end
methods
function start(this)
% CREATE THE INSTRUCTION SCREEN
ti = WBTextDisplay('INTRO TEXT', '', 24);
%ti.xLoc = 50;
ti.text = {'As this experiment is about multita... |
function varargout = spectrum2pulse(omega_in,field_in,M)
% omega_in: angular frequencies
% field_in: field in spectral domain (can be complex)
% M: string describing the field mask in the spectral domain as a function of frequency. Use
% 'omega' to refer to angular frequency as the independent ... |
% Load training set and validation set
clear all;
dataDir = 'cifar-10-batches-mat';
load(fullfile(dataDir, 'data_batch_1.mat'));
data_train = data;
label_train = labels;
for i = 2:5
load(fullfile(dataDir, ['data_batch_' num2str(i) '.mat']));
data_train = [data_train; data];
label_train = [label_tra... |
function [ ] = demo_aggregate( image_file_path, landmarker, frontalization,AutoChoose)
% This function takes in the location of the image, the techniques of
% landmarker, that can be one of the following :
% -'dlib'
% -'ZhuRamanan'
% -'CMR'
%
% the possible options of frontalization are :
% -'Hassner'
% -'Vito'
% De... |
function plot_errorfunction(matrix1, matrix2, opts)
figure('visible', opts.figure_windows);
error_calculation = (matrix1 - matrix2) ./ matrix2;
imagesc(error_calculation);
colorbar;
% hold on;
print('output/error_calculation', '-dpng');
end |
function [normim, normtform, xdata, ydata] = imnorm(im)
%
% Implementation of the image normalization part of:
% 1. P. Dong, J.G. Brankov, N.P. Galatsanos, Y. Yang, and F. Davoine,
% "Digital Watermarking Robust to Geometric Distortions," IEEE Trans.
% Image Processing, Vol. 14, No. 12, pp. 2140-2150, 2005.... |
[x,y] = fmincon('func1',ones(4,1),[],[],[],[],zeros(4,1),[],'func2'); |
function [ mean_distance, std_distance, distances ] = pp_slanding_11( scanpath1, scanpath2, ff_flags )
if nargin<3, ff_flags=[0 1]; end
[ mean_distance, std_distance, distances ]=pp_slanding( scanpath1, scanpath2, ff_flags );
end
|
clear;
close;
clc;
x= linspace(1/2,5,50);
y2=sqrt(2*x+1)-sqrt(2*x-1)-1;
plot(x,y2,'LineWidth',4)
grid
P = [5/8 0]';
text(P(1)+0.2,P(2)+0.05, 'P')
hold
plot( P(1),P(2),'ro','LineWidth',4)
xlabel('x');
ylabel('y');
print -deps -color ee16b1015.eps
|
function [ smap ] = saliency_bmsalt( input_image, input_path )
if size(input_image,3)<3
input_image(:,:,2)=input_image(:,:,1);
input_image(:,:,3)=input_image(:,:,1);
end
imwrite(input_image,'default.png');
system('/usr/bin/python3 saliency.py -i default.png');
smap=imread('default_saliency.png');
smap=mat2gr... |
global robots
robotIds = [528 314 871];
[~,numberOfRobots] =size(robotIds);
Kp =12*3;
Ki =8*3;
Kd =5*3;
E_k = [0;0;0];
e_k_1 = [0;0;0];
dt=0.20; %200ms
t=1;
while t<5*5
t = t+1;
for i = 1:numberOfRobots
k = find(robots(:,1)==robotIds(1,i));
if isempty(k)
continue... |
[sum1] = sumtorial(4);
[sum1_soln] = sumtorial_soln(4);
% sum1 => 10
%
[sum2] = sumtorial(14);
[sum2_soln] = sumtorial_soln(14);
% sum2 => 105
%
[sum3] = sumtorial(56);
[sum3_soln] = sumtorial_soln(56);
% sum3 => 1596 |
function doFlag(source,eventdata,ID,flag)
% Set a mask file to ignore a sensor, used for sensors with only bad data
global metadata panels const data
if nargin<4
Selection = listdlg('Name','Flag sensor','PromptString','Select flag type','ListString',const.sensorFlags,'SelectionMode','single','OKString',... |
function homogenDataTest(data_miss,data_full,varargin)
%HOMOGENDATATEST test homogeneity of meteorological data
% Input time series (with missing data and the one used to filled the missing
% periods) must not be of identical length. Important is only that bot time
% series are overlapped and use identical time resol... |
function fitness=m_Fitness(pop)
%% Fitness Function
%y=xsin(3x)在[-1,2]上，最大值也不会超过2
%所以计算函数值到2的距离，距离最小时，即为最优解
%适应度函数为1/距离
fitness = zeros(1,100);
for n=1:size(pop,2)
fitness(n)=1/(2-m_Fx(pop(:,n)));
end
end
|
function overlay_bits = dicom_has_overlay_bits(info)
%DICOM_HAS_OVERLAY_BITS Return overlay bit positions in pixel cells.
% Copyright 1993-2003 The MathWorks, Inc.
% $Revision: 1.4.4.1 $ $Date: 2003/01/26 05:58:39 $
% Overlay data requires one or more OverlayBitsAllocated attributes to be
% set (60xx,010... |
% mixed_logit_estimator: estimation/identification of underling distribution of random coefficients
% of a simple example binary logit model under alternative distributions for
% unobserved heterogeneity
global nqp qw qa data;
data=load('choice_data.dat'); % load the da... |
% anova2 for area analysis
rep = 1;
% exp1 exp2 exp3
% treated
% untreated
format long
% aream = [0.00198642 0.0015094;6.88708e-06 5.15011e-06;1.17804e-05 5.21541e-06 ];
aream = [0.00198642 0.0015094;6.88708e-06 5.15011e-06;1.17804e-05 5.21541e-06 ];
% 0.00198642 0.0015094
% 6.88708e-06 5.1... |
% Library of general math operations
%
% Author : Jonathan EDEN
% Created : 2018
% Description :
classdef GeneralMathOperations
methods(Static)
function P = PolynomialFit(X,Y,degree)
CASPR_log.Assert(size(X)==size(Y),'X and Y must be vectors of the same size');
l_x = ... |
function [aika,dekohinoitu] = dekohinoi(signaali)
% Poista kohina mittaussignaalista. Signaali on pystyvektori.
% Palautusarvoina ovat aikavektori (keinotekoinen) ja
% kohinavapaa signaali.
%
% Kohina poistetaan diskreetin Fourier-muunnoksen avulla.
% Signaali muunnetaan taajuustasoon ja siita leikataan korkeat
% taaj... |
clear all; close all; clc;
ver = '2';
[y,m,d] = datevec(date());
timestamp = [num2str(m),'-',num2str(d),'-',num2str(y)];
locnum = 2;
if locnum > 1
dataFolder = ['../../Data/data_multi_v',ver,'_',timestamp];
movieFolder = ['../../Data/movie_multi_v',ver,'_',timestamp];
else
dataFolder = ['../../Data/data... |
function ConvertHStoNbands(local_HS_data,local_HS_label,local_size_data,local_size_label,label_dimension,data_dimension,local_stride,chunksz,local_amount_hd5_image,filename)
%% global variable to determine the numbers of images included by each hdf5 file
global FILE_COUNT;
global TOTALCT;
global CREATED_FLAG;
... |
function DY = DiscreteDY( N )
Nvert = (N+1)*(N+1);
h = 1./N;
iidx = zeros(2*Nvert, 1); % Speicherplatz für alle Werte reservieren
jidx = zeros(2*Nvert, 1); % Insgesamt besitzt die Matrix genau zwei
values = zeros(2*Nvert, 1); % Einträge je Zeile (also je Knoten)
% Zunächst: iidx0, jidx0, values0 bestimmen, s... |
function [PIM, DIM] = MakeDichromatIms(im)
% Digitally simulating dichromat vision
% Reshape to 3xN, each column is a pixel
rgb = reshape(im, [], 3)';
rgb = (double(rgb) / 255) .^ 2.2;
% Protanopes
rgb_p = 0.99502 * rgb + 0.003974;
% Deuteranopes
rgb_d = 0.957237 * rgb + 0.0213814;
% LMS transform matrix
M = [17.88... |
function [S2NR, T_axis, S2NR_mean] = s2nr_call(filename, NFFT , ...
RTH, alpha, sigma)
% S2NR call procedure
% usage:
% [S2NR, T_axis, S2NR_mean] = s2nr_call(filename, NFFT , RTH,
% alpha)
% NFFT: fft window size
% RTH: reliability threshold
% alpha: fft window... |
function x = quadraticSymbolic(coef)
%Checking to see if there is the correct number of inputs
if (length(coef) ~= 3)
x = 'Null';
return
else
%Generate the y values from cardanos formula in symbolic form
x = quadratic(coef(1),coef(2),coef(3... |
function [P,i,F ] = getPSat( T,P0, NC, Comp, XF, solveEOS, corr )
F = 1; i = 0;
P = P0;
Pold = P0;
dx = 1e-06;
h = 1.0;
corr = 1.0;
while ( (F > 1e-8) && (i < 100) )
if ( P > 0 )
findMinZ = 1;
[ ~,~ , fug_l] = solveEOS(T,P,XF,findMinZ,NC,Comp);
... |
addPaths
% Load the well log
input_dir = './wlogs/';
output_dir = './grlogs/';
mkdir(output_dir);
las_files = dir(strcat(input_dir, '*.las'));
count = 0
for f = 1:size(las_files)[1]
try
wlog = read_las_file(strcat(input_dir, las_files(f).name));
gr = strcmp(wlog.curve_info(:... |
clear, clc
format long, format compact
f = @(x) 512*x^10 - 5120*x^9 + 21760*x^8 - 51200*x^7 + 72800*x^6 ...
- 64064*x^5 + 34320*x^4 - 10560*x^3 + 1650*x^2 - 100*x + 1;
dfdx = @(x) 5120*x^9 - 46080*x^8 + 174080*x^7 - 358400*x^6 + 436800*x^5 ...
- 320320*x^4 + 137280*x^3 - 31680*x^2 + 3300*x - 100;
seps = findS... |
% statisticResult
path = './result';
labelpath = 'E:\data\MNIST\testlabel';
n = 0;
a = 0;
c = 0;
for i = 1:10000
if mod(i,100) ==0
disp(i)
end
label = imread([path,'\',int2str(i),'.png']);
im = imread([labelpath,'\',int2str(i),'.png']);
im = double(im);
label = label(:,1:28);
n = n + leng... |
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