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function [imgcell, axonseg, myelinseg]=as_save_3dcell(Axonlist, img, blocksize)
% [myelinseg, axonseg]=as_save_3dnii(Axonlist, imgsize, blocksize)
imgsize=size(img);
centroid=cat(1,Axonlist.Centroid);
xcentre=centroid(:,1);
ycentre=centroid(:,2);
count=1;
nbB=length(1:blocksize:imgsize(1))*length(1:blocksize:imgsize(2)... |
classdef TextArea < handle & CustomGuiInterface
events
ValueChangeEvent
end
methods
function obj = TextArea()
obj.uiInstance = uitextarea();
obj.uiInstance.ValueChangedFcn = @(textarea, event) obj.textChangeCallback();
end
%
% Set... |
clear all;close all;clc;
load data; % 读取数据
Data = data;
% ?100个样本进行归?化处? min-max标准化方法[0,1]区间
% 缺点是当有新的数据加入时，max和min可能发生变化，需要重新定?
for i=1:100
for j=1:3
Data(i,j)=(data(i,j)-min(data(:,j)))/(max(data(:,j))-min(data(:,j)));
end
end
D1=Data(1:80,:);
D2=Data(81:100,:);
k=20; % 训练集是80个样本，测试集是20个样?
for i=1:20
temp=D2(i,... |
function c = thermalsunriseFunction(X,Z,t,tsr)
%X: the state
%Z: observed value
%t: time
% To = zeros(NUMBER_ROW,NUMBER_COLUMN,Ns); %TESTINGCYCLE_DATA(jN,iN).To(n(jN,iN));
% Ta = zeros(NUMBER_ROW,NUMBER_COLUMN,Ns); %TESTINGCYCLE_DATA(jN,iN).Ta(n(jN,iN));
% tm = zeros(NUMBER_ROW,NUMBER_COLUMN,Ns); %TESTINGCYCLE_... |
classdef PolicyEXP3M < Policy
properties
K
L
Gamma
Wvec
Pvec
S0t
Level
Beta
end
methods
function self = PolicyEXP3M(K_, L_, gamma_, level_)
self.K = K_;
self.L = L_;
self.Gamma = gamma_;
... |
classdef kalman
% Kalman class
% Created by: Lee A. Harrison
% On: 2/20/2019
%
% Copyright (C) 2019 Artech House (artech@artechhouse.com)
% This file is part of Introduction to Radar Using Python and MATLAB
% and can not be copied and/or distributed without the express permission of Artech H... |
clear
clc
close all
%%
% USER-DEFINED PARAMETERS
filename = 'data.2d';
filedir = fullfile('Z:','Data','JYU','CPMG (summer 2017)','26July','P250.2015e_acetone_overnight');
nMeas = 60;
nSmooth = 21;
omitEchoes = 0; %front-end echoes to omit
guess = [0 1 0.008]; %[y-offset, amplitude, T2 in s]
t0 = datetime('26-Jul-... |
function qa_uprobe(fn,sacflag)
%%function to plot receptive fields of uprobe neurons
%%fucntion takes nev filename, along with sacflag (0 if want to analyze
%%visual period, 1 if want to analyze motor period)
% fn='Wi130813_s104au1_dirmem_0005.nev';
% fn='Wi130816_s105au5_dirmem_0001.nev';
fn{1}='Wi140127... |
function [y0] = perturbModel(expanded_model,initial_conc,x1,x2)
% This code perturbs the enzyme fraction(s) in the model (PMID:24928774).
%
%
% INPUTS:
% -------
% expanded_model: model structure that containts the information of the
% expanded and unexpanded model
% initial_conc: The initial conce... |
function y = pa_gsmooth(x,fs,sd,sdextra)
% Y = PA_GSMOOTH(X,FS,SD,SDEXTRA)
%
% Gaussian smoothing
%
% x = data (samples)
% y = smoothed data
% fs = sample frequency data (samples/s = Hz)
% sd = standard deviation gauss (s/SD) = fs*sd samplepoints/SD
%
% sdextra = number of sd's added to data edges (5 = ... |
file = fullfile('Datasets','DatasetA','car-1.jpg');
%file = fullfile('Datasets','name.png');
img = imread(file);
%img = rand(7,7,3);
output = ICV_rotate(img, 30);
imwrite(output, 'rotate30.png');
%{
output = ICV_rotate(img, 60);
imwrite(output, 'rotate60.png');
output = ICV_rotate(img, 120);
imwrite(out... |
function E=plot_grid(fname,varargin)
% plot_grid(fname, [optional inputs]);
%
% Inputs:
% fname The filename containing the D struct from grid_search
%
% Optional Inputs:
% do_fit If true, the data will be fit with a quadratic.
%
% Outputs:
% E A struct with the fits of a 2D quadratic for each of the cro... |
function InitPoints = initPoint(Line_rpes, Label_te)
%
UPDATE = false;
if nargin > 1
UPDATE = true;
end
for ni = 1 : length(Line_rpes)
Line_rpe = Line_rpes{ni};
for orient = 1 : 2 % 1 for left point and 2 for right
pos_ni = Line_rpe{orient};
if max(... |
function Probabilities = GetConditionalProbabilities(obj)
% This function is used to get the conditional probability table (CPT) in correct order.
%
% The default order of CPT is the order that the parents are added, but the correct order of the CPT is according to the indexes of its parents.
%
% For example, ther... |
% inverseFullPCA.m
%
% The inverse of Principal Component Analysis on column data.
%
% inputs: sortedEigenValues 2D matrix, one column per slice, slices
% sorted in descending order
% (these values is the key for sorting
% ... |
classdef SoftMembershipMultDing
%
% Ding's Multplicative soft membership update function.
%
% Introduce row normalisation of vertex membership as well as L1 and L2
% regularisation as options.
%
%
% @author: Jeffrey Chan, 2013
%
properties
m_bNormalisedCol = false... |
%Voice Based Biometric System
%By Ambavi K. Patel.
function disply(nmatch)
%indicate result
mx=max(max(nmatch));
if mx<1
h1 = msgbox('INCORRECT','your password is','error');
soundsc(wavread('denied.wav'),50000);
uiwait(h1,1);
close(h1);
else
h1 ... |
function im=CropBackground(im,t,l,b,r)
% Removes the 'background' of the image.
% The background is given by the sizes of the top, left, bottom, and right padding already on the image.
% The image can be a string or a matrix.
if ischar(im); im = imread(im); end;
im = im(t+1:end-b,l+1:end-r);
|
%% findP
% Calculate the coordinates of a series of points on a curved edge.
%%
%% Syntax
% P =findP(V,A,s);
%
%% Description
% Calculate the coordinates of a point on a curved edge.
%
%% Inputs
% * V - a 2-by-2 matrix with the starting and ending points.
% * A - a variable containing the curvature angle of the ed... |
classdef CasadiMeta < SwigRef
%CASADIMETA Collects global CasADi meta information.
%
%
%
%Joris Gillis
%
%C++ includes: casadi_meta.hpp
%
methods
function this = swig_this(self)
this = casadiMEX(3, self);
end
function self = CasadiMeta(varargin)
%CASADIMETA
... |
function ShowResults( path, range, trainError, validError, validationLabels, validEstimatedLabels )
pos = dir(strcat(path, 'VldP*.pgm'));
neg = dir(strcat(path, 'VldN*.pgm'));
files = vertcat(neg, pos);
if validError == 0
bestEstim = validEstimatedLabels;
else
figure; plot(range, trainError, 'b');
hold o... |
function [maskStack minValue] = seg3D(cube, featherSize, groupObjects, minSize)
%Pass in a Z-stack (cube) and perform Otsu thresholding in all 3 dimensions
%to segment out the object. If there is only 1 Z-section then seg2D.m is
%used instead. Pass it back as a stack of binary masks.
numY = length(cube(:,1,1));
numX ... |
function result = mInverseJacobiDN( X, M )
%MINVERSEJACOBIDN Inverse of the Jacobi function DN.
% MINVERSEJACOBIDN(X,M) is the inverse of Jacobi function DN for the
% elements of argument X and parameter M. X and M must all be real and
% the same size or any of them can be scalar.
%
% See also INVERSEJACOBID... |
function rc = write_dcdstep(h, x, y, z)
%
% rc = write_dcdstep, handle, x, y, z);
%
fwrite(h.fid, 4*length(x), 'int32');
fwrite(h.fid, x, 'float32');
fwrite(h.fid, 4*length(x), 'int32');
fwrite(h.fid, 4*length(x), 'int32');
fwrite(h.fid, y, 'float32');
fwrite(h.fid, 4*length(x), 'int32');
fwrite(h.fid, 4*length(x)... |
function [ temp ] = DGeval_1D(DGcoeffs,vpoint,data)
% written by Pierson Guthrey
v1 = vpoint(1);
%Periodic Conditions in x
domainv1 = data.v1_ub - data.v1_lb;
v1tilde = -mod(data.v1_ub - v1,domainv1)+data.v1_ub;
indexv1 = ceil((v1tilde - data.v1_lb)/data.deltav1);
etav1 = 2*(v1tilde-data.v1centers(indexv1))/data.del... |
function [ index, labels, limits ] = NeuromagAnatomicalReorder
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
% Sensors recording the frontal region
Left_frontal = {'MEG0121', 'MEG0341', 'MEG0311', 'MEG0321', 'MEG0511', ...
'MEG0541', 'MEG0331', 'MEG0521', 'MEG05... |
## Copyright (C) 2021 Robertson
##
## This program 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, either version 3 of the License, or
## (at your option) any later version.
##
## This program is dist... |
nmos = csvread('../data/experiment1_nmos_1.csv', 1);
[Is, VT, kappa] = ekvfit(nmos(:,1), nmos(:,2), 1e-3, 'on')
% Is = 1.9361e-06
% VT = 0.5576
% kappa = 0.6821 |
% devuelve la malla de rectángulos rxl en coordenadas XYZZ.
% maxmin está en coordenadas XYZ2origin.
function [grid,n,m] = gridinplane(maxmin,r,l)
ly = lineab(maxmin(2,2),maxmin(1,2),l);
lx = lineab(maxmin(2,1),maxmin(1,1),r);
lengthx = length(lx);
lengthy = length(ly);
grid = zeros(lengthx*lengthy,2);
for i=1:l... |
READSIZE = 1000000;
% - Open file.
ds1 = datastore('../data/data1.csv','TreatAsMissing','NA');
ds2 = datastore('../data/data1.csv','TreatAsMissing','NA');
ds1.SelectedVariableNames = {
'PERMNO','date','TICKER','COMNAM','PRC','VOL'};
ds2.SelectedVariableNames = { 'RET' };
ds2.SelectedFormats = {'%q'};
ds1.ReadS... |
function [X,Xb,XI,N,Nb,NI]=points(char,h,a,b)
% Inputs:
% char can be chosen by the user Regular or distmesh (it needs to be downloaded this package that is free for the user)
% h is the maximum distance between two distinct points
% a & b are chosen here 0 & 2, respectively
% Outputs:
% X is the total number o... |
% written by professor Jay McClelland
function [ ] = showState()
global p w d a;
FONTSIZE = 13;
% plot rewards over time
axes(d.rwd);
plot(w.rS.time, a.aCurRwd,'-b*');
hold on;
plot(w.rS.time, a.cCurRwd,'-r*');
legend({'move', 'number'},'Location','northeast', 'fontsize', FONTSIZE)
ylim(d.rwd,[p.r.bigNeg ... |
% This script assumes the following variables exist and are correct:
% config
% res_coupling_near
% res_piezoscan_postBlast
% res_wideFSW
config.n_c = [100:50:700]; % target n_c
%%
sides = {'B'};
% initial target detuning
attens = getAttensFromPowers(...
nca... |
function atclass=getclass_6d(elem)
%GETCLASS_6D Private. Guess class for 6d motion
%
% Returns the element class ignoring its Class field when non-ambiguous
% Simplified and faster version of atguessclass
if isfield(elem,'BendingAngle')
atclass='Bend';
elseif isfield(elem,'PolynomB') && elem.Length > 0
if i... |
load('USPS.mat');
p = [10,50,100,200];
errors = zeros(length(p),1);
% error rate [10,50,100,200];
for j = 1:4
% digit from 0 to 9
for i = 0:9
% get data for perticular number.
data = A(L==i,:);
temp_mean = mean(data,1);
data = data - repmat(temp_mean,size(data,1),1);
... |
function varargout = grDilate(varargin)
%GRDILATE Morphological dilation on graph.
%
% LBL2 = grDilate(EDGES, LBL1)
% Each label of the graph is assigned the highest label of its
% neighbours, or it keeps the same label this one is bigger.
%
% Example
% grDilate
%
% See also
% grErode, grOpen, grClose
%
... |
function scores = Funcion_de_busqueda(x,array_config,Potencia_sensores,freq_config,range_config,Numero_de_sensores,posicion_X,posicion_Y,posicion_Z,clusters_fijados)
global mejor_idx;
global mejor_centro_cluster;
global estacion;
global mejor_scores;
global mejor_x;
global estacion_no_deseada;
global estacio... |
I= imread('INTERT/1.jpg');
imshow(I);
Igry = rgb2gray(I);
J = histeq(Igry);
%figure, imshow(J);
BW = imbinarize(J);
%figure, imshow(BW);
BW = 1- BW;
SE = strel('line', 40, 90);
BW = imopen(BW,SE);
%figure, imshow(BW);
E= edge(BW,'canny',[],3);
figure ,imshow(E); title("Lines");
% Potential improvement later.
% [H,T,... |
function AMPX_Naris_fig_2_task(all_data_pre, all_data_post, varargin)
%% AMPX_Naris_fig_2_task: generates figure 2 which contains the heatmaps
% for the average rewarded/approach gamma 50 and gamma 80 events for the
% two rats that reached task criterion
%
%
% EC - 2016-05-31
%% extract inputs
extract_varargin
%% loa... |
function [pass,maxerr] = test(opt)
% Check that zero-time correction works when maximum is at later times
t_true = linspace(-5,1,400);
r = time2dist(t_true);
P = dd_gauss(r,[4,0.2]);
V = dipolarkernel(t_true,r)*P;
tshift = 1.2343;
t = t_true + tshift;
[t_corr,czt] = correctzerotime(V,t);
% Pass 1: corrected time-ax... |
scan = load("-ascii","laserscan.dat");
angle = linspace(-pi/2,pi/2,size(scan,2));
x1 = scan .* cos(angle);
y1 = scan .* sin(angle);
plot(1,0.5,'@1')
hold on
X_roboter = X(1,0.5,(pi)/4);
X_laser = X(0.2,0,(pi));
pos_laser = X_roboter*[0.2;0;1];
plot(pos_laser(1,1),pos_laser(2,1),'@3')
for i = 1:size(scan,2)
pos_res =... |
classdef datatype
% excentury.core.DATATYPE: Container to hold matlab objects
%
% This container holds the object along with a name and the
% interface that creates it. This class is meant to be use
% by excentury.core.communicator.
%
properties
obj %# matlab object
name %# object name
inter... |
function model = fnc_jointCoord_PatellaL (model,DoF_Types)
% Bone Mesh Female Toolkit
% Licensed under the zlib license. See LICENSE for more details.
jointCenter_patellaL_global = ...
model(7).vertices_global(model(7).LandmarkIndices(1),:);
jointAxes_patellaL_global = eye(4);
jointAxes_patellaL_global(... |
%Charlie Nitschelm
function solve = GaussSolver(i,j,k,T1,h,q,dx,dy)
a = dx;
b = dy;
c = k(i-1,j);
d = k(i,j+1);
e = k(i+1,j);
f = k(i,j-1);
g = T1(i-1,j);
u = T1(i,j+1);
z = T1(i+1,j);
l = T1(i,j-1);
v = h(i-1,j);
r = h(i,j+1);
s = h(i+1,j);
t = h(i,j-1);
m = q(i-1,j);
n = q(i,j+1);
o = q(i+1,j);
p = q(i,j-1);
solve = ... |
function setFreqSMC100A(SMC100A,freq)
fprintf(SMC100A, [':SOURce:FREQuency:CW ' num2str(freq)]);
end |
function [combinations, combMasses] = AAcombinator(symbols, existingCombinations, masses)
R = length(existingCombinations(1))+1;
N = length(symbols);
combLength = factorial(N+R-1)/(factorial(N-1)*factorial(R));
combMasses = zeros(combLength,1);
currentIndex = 1;
for i=1:length(symbols)
for j=1:length(existingCom... |
function output = align_face(frame, left_eye, right_eye, chin)
output = [];
imshow(frame);
size_x = size(frame, 1);
size_y = size(frame, 2);
%if((right_eye(1,1) - left_eye(1,1)) < (size_x/3))
% disp('waste only');
%return;
%end
center_eye = uint32((left_eye + right_eye)/2);
half_interocular_... |
function stats = olscluster(y,X,g,varargin)
% Multiple linear regression using ordinary least squares (OLS) with
% 1-way or 2-way cluster-robust covariance estimator (borrowed from
% Gow, I.D., Ormazabal, G., & Taylor, D.J., 2010).
%
% stats = olscluster(y,X,g,varargin) calculates OLS regression with 1-way
% or 2-wa... |
function [L] = lp_loss_epb(Z, NIN, Z_vec)
%
% Calculates the loss L(Z_vec) in Z-frequencies Z_vec given
% a attenuation pole vector Z for the LP case
% with equiripple passband.
% Also the number of attenuation poles at infinity NIN is required.
% Author: Per Loewenborg
% Modified by: LW
% Copyright... |
fid = fopen('b.txt','wt');
fprintf(fid,'MEMORY_INITIALIZATION_RADIX=2;\nMEMORY_INITIALIZATION_VECTOR=\n');
for i=1:1:256
y=dec2hex(randi([0 15]));
fprintf(fid,'%c',y);
y=dec2hex(randi([0 15]));
fprintf(fid,'%c',y);
y=dec2hex(randi([0 15]));
fp... |
function [ Anext ] = NextGeneration( Anow, n )
Anext = zeros(n,n);
i=2;
while(i<(n))
k=2;
while (k <(n))
window=zeros(9,1);
inc = 1;
for g=1:3
for h=1:3
window(inc)=Anow(i+g-2,k+h-2);
inc=inc+1;
end
end
... |
function [fld]=read_nctiles(fileName,fldName,varargin);
%usage: fld=read_nctiles(fileName); reads full field using fileName as field name
%usage: fld=read_nctiles(fileName,fldName); reads full field (all depths, all times)
%usage: fld=read_nctiles(fileName,fldName,tt); reads 3D or 2D field, at... |
close all;
% define sstate inputs;
sstate_input = Define_sstate_input();
% load and manipulate data
dbs = dbload('est_data.csv');
obs = struct();
obs.z = (dbs.z - mean(dbs.z))/mean(dbs.z);
obs.g = (dbs.g - mean(dbs.g))/mean(dbs.g);
obs.tax = (dbs.tax - mean(dbs.tax))/mean(dbs.tax);
obs.debt = (dbs.b - 100*sstate_inpu... |
function displayResultsHop(type, results, ...
percentBlackMin, percentBlackMax)
%HOPSIZE Performance for different hopsizes
if ~exist('percentBlackMin', 'var')
percentBlackMin = 75;
end
if ~exist('percentBlackMax', 'var')
percentBlackMax = 80;
end
if strcmp(type, 'size')
pattern = '\-hop([0-9]+)';
else... |
% StudyName='RoAs_20080122';
% StudyName='WhSa_20070813';
BasePath=[BaseBaseP StudyName filesep];
WorkingP=BasePath;
FinalT1=load([BasePath 'AfterCTC.mat'],'FinalT1');
FinalT1=FinalT1.FinalT1;
MskC=load([BasePath 'MskC.mat']);
MskC=MskC.MskC;
Sims=load([BasePath 'SimSigNoised.mat']);
Sims=Sims.Sims;
disp('Loaded simula... |
function plottopo(basename,bandidx)
loadpaths
if ischar(basename)
EEG = pop_loadset('filepath',filepath,'filename',[basename '.set'],'loadmode','info');
else
EEG = basename;
clear basename
end
bpower = mean(mean(EEG.spectra(:,...
EEG.freqs >= EEG.freqwin(bandidx) & EEG.freqs <= EEG.freqwi... |
function J_G1 = getJacobian(p,z);
%syms a l1 l2 l3
%syms th1 th2 th3 th4 th5 th6 th7
%syms th1_dot th2_dot th3_dot th4_dot th5_dot th6_dot
global a l1 l2 l3 table_height th1 th2 th3 th4 th5 th6 th7
[z p] = getPointsAndAxes();
ze =[0 0 0]';
z2 = z(:,3); z3 = z(:,4); z4 = z(:,5); z6 = z(:,7);
z7 = z(:,8... |
% pWriteSequencesWithRotations writes the sequences in FASTA to a file, and if they are from an internal loop, rotates the sequences and writes them again, etc.
function [AllSequencesFile] = pWriteSequencesWithRotations(ModelPath,FASTA,loopType,Rotations,CF)
if nargin < 5,
CF = '';
end
r = 1; ... |
fval = 300;
while (fval > 20)
[x,fval,exitflag,output,population,score] = generate_1;
end |
function PauseButton
%PauseButton Summary of this function goes here
% Detailed explanation goes here
%% Layout der GUI
% Größe der GUI festlegen
guisize = [250 70];
% Auslesen der Bildschirmauflösung
scrsz = get(0,'ScreenSize');
MainWindow = figure('MenuBar','none', ...
'Name','Pause Execution', ...
'ToolB... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2010 - 2015 Moon Express, Inc.
% All Rights Reserved.
%
% PROPRIETARY DATA NOTICE:
% The data herein include Proprietary Data and are restricted under the
% Data Rights provisions of Lunar CATALYST Space Act Agreement
% No. SAAM ID#... |
function train_svm_model(p,stage,branch)
feature_file=sprintf('%s/svm_feature/stage_%d_%d.txt',p.data_path,stage,branch);
model_file=sprintf('%s/model/stage_%d_%d.mat',p.data_path,stage,branch);
if ~exist(feature_file,'file')
disp(['data file has not been computed:',color_data_file]);
return
end
if exist(model... |
function handle = VisualizePoints(points,handle)
delete(handle.scatter);
hold on;
N = length(points);
X = [];
Y = [];
Z = [];
Xd = [];
Yd = [];
Zd = [];
for k = 1:N
[x,y,z] = Sph2Cart(1,points(k).theta,points(k).phi);
if ~points(k).isDuplicate
X = [X x];
Y = [Y y];
Z = [Z z];
e... |
addpath('../matlab');
%=========================================================================%
% %
% Autor: Enrico Bertolazzi %
% Department of Industrial Engineering ... |
clear all
close all
clc
k = 1:5;
dzeta = [pi^2/6 pi^4/90 pi^6/945 pi^8/9450 pi^10/93555 691*pi^12/638512875];
res = [];
for i = 2:length(dzeta)
res = [res, (dzeta(i-1)-1)/(dzeta(i)-1)];
end
asimpFromDzeta = 2*((-1).^(k+1)).*(res.*gamma(2*k+1)./((2*pi).^(2*k)));
disp('Asimpfrom dzeta:');
disp(asimpFromDzeta)
k = 1... |
function bIsACurrentWeather = IsACurrentWeather( iSignalID, iDeviceID )
%
try %
%
if( 80000 == iSignalID ...
|| 81000 == iSignalID ...
|| 82000 == iSignalID ...
|| 83000 == iSignalID ...
|| 84000 == iSignalID ...
|| 85000 == iSignalID ...
|| 86000 == iSignalID )
%
bIsACurrentWeather... |
function varargout = poseSelectionWindow(varargin)
% POSESELECTIONWINDOW MATLAB code for poseSelectionWindow.fig
% POSESELECTIONWINDOW, by itself, creates a new POSESELECTIONWINDOW or raises the existing
% singleton*.
%
% H = POSESELECTIONWINDOW returns the handle to a new POSESELECTIONWINDOW or the hand... |
function TScreateSingleTSlibCodeFile
% Creates a text file containing all of the TS commands, with each function
% delimited by 'startfunction' and 'endfunction'. The TSsystem can be
% installed by calling TSwriteoutfunctions with 'TSlibCodeFile.txt' as the
% input argument
%%
fid =fopen('TSlibCodeFile.txt','a'); %
fi... |
function lkDpxTuningExpAnalysisDiPhiVsIhp(D,filterMode,normalize)
% D should be the output from lkDpxTuningExpAnalysis
[is,whynot] = dpxdIs(D);
if ~is
error(whynot)
end
if ~exist('filterMode') || isempty(filterMode)
filterMode='includeall';
end
if ~exist('normalize... |
%Anteckningar från möte 16/2
%Primitiver som flaggor, 3 färger svårt att mappa till en bildpunkt -->
%lättare och mer logiskt att använda flaggornas medelvärden som mätpunkt.
%Svårt att se översiklgihet om bilderna INTE är brusiga, därmed är
%brusiga flaggor inget problem!
%Sätta till ett standrardrektaungulär är ... |
function addTextToAvi(srcName, tarName, strTxt, varargin)
% adds text to given avi video.
% SYNTAX:
% addTextToAvi(srcName, tarName, strTxt) outputs avi file with name
% "tarName", by converting strTxt to image and adding it to the top left
% corner of avi file srcName.
%
% addTextToAvi(srcName, tarName, s... |
function flag=findSubset(set)
flag=[];
zeroPlaces=find(set==0);
onePlaces=find(set==1);
if isempty(onePlaces)==0
zeroPlaces=zeroPlaces(zeroPlaces>onePlaces(end));
end
for i=1:size(zeroPlaces,2)
setHelp=set;
set(1,zeroPlaces(1,i))=1;
flag=[flag;findSubset(set)];
set=setHelp;
end
flag=[flag;set];
end |
function result = ex_gazeContingent(e)
global wins
r=5;
while 1
pt = samp .* wins.pixelsPerMV + wins.midV;
pt(2) = wins.voltageDim(4) - pt(2); % flip Y coordinate
% obj 1 is fix spot
msg('set 1 oval 0 %i %i %i %i %i %i',[round(pt) r 255 0 0]);
msg(... |
function [sizes] = images_size_infos(images)
% width and height
sizes = [0 0];
for i=1:length(images)
im = imread(images(i).name);
sizes(1) = sizes(1) + size(im, 1);
sizes(2) = sizes(2) + size(im, 2);
end
sizes = round(sizes ./ length(images));
end
|
function B = repdiag(A,d)
% REPDIAG repeat a matrix along the diagonal a certain number of times, so
% that if A is a m by n matrix and we want to repeat along the diagonal d
% times, we get a m*d by n*d matrix B such that:
% B( (k*m+1):(k*m+1+m-1), (k*n+1):(k*n+1+n-1)) = A
% for k from 0 to d-1
%
% B = ... |
function [cov_mean, cov_median, cov_mode, cov_max, cov_min, cov_skewness, cov_kurtosis] = OriDataForPlot(path)
cov_mean = [];
cov_median = [];
cov_mode = [];
cov_max = [];
cov_min = [];
cov_skewness = [];
cov_kurtosis = [];
if path == "angle"
load('stat_vector_angle');
cov_mean = cov_mean4;
cov_medi... |
function rfExamples(fitobjs, featureMapNm)
if nargin < 2
featureMapNm = 'pixel';
end
ind = randi(numel(fitobjs));
fobj = fitobjs(ind).fits(1);
if ~strcmpi(featureMapNm, 'pixel')
A = io.loadFeatureBasis(featureMapNm);
else
A = 1;
end
figure; colormap gray;
nd1 = 1; nd2 = 4;
subplot(nd1,nd2,1);
plotRf(fob... |
% This script calculates the critical temperature of a bulk superconductor,
% by performing a binary search for the temperature where the gap vanishes
% numerically. The result should be numerically one in the given unit
% system, so this script can be used to calibrate other simulation parameters.
%
% Written by Jabir... |
function call_pushUndo (buttonHandle, ~, ~)
% Bone Mesh Female Toolkit
% Licensed under the zlib license. See LICENSE for more details.
% Define Variables
buttonHandle.Parent.UserData.model_current =...
buttonHandle.Parent.UserData.model_undo;
buttonHandle.Parent.UserData.model_undo = [];
buttonHandle.Parent.User... |
data = csvread('cervicalCancerFix.csv', 1, 0);
Hinselmann = data(:,29);
Schiller = data(:,30);
Cytology = data(:,31);
Biopsy = data(:,32);
data = data(:,1:28);
% centering the data
for k = 1:28
colSum = sum(data(:,k));
for j = 1:668
data(j,k) = data(j,k) - (colSum/668);
end
end
sumH = sum(Hinselm... |
disp('======= KITTI DevKit Demo =======');
clear all; close all; dbstop error;
% error threshold
tau = 3;
% stereo demo
disp('Load and show disparity map ... ');
D_est = disp_read('data/disp_est.png');
D_gt = disp_read('data/disp_gt.png');
d_err = disp_error(D_gt,D_est,tau);
figure,imshow(disp_to_color([D_est;D_gt])... |
% step1a_doNegotiation_first.m description
% Add your first-price sealed-bid agent models and edit this file to create
% your first-price sealed-bid auction.
% This file uses the matrix generated in determineCommunicationCandidates.m
% (in step1_performCommunication.m) that contains every communication
% candidate for... |
function hBuildMenu = open_editdevice
list = getBuiltDevices;
if ( size(list) ~= 0)
hExistingDevMenu = figure('Visible', 'on', ...
'Position', [500, 50, 550, 575], ...
'Name', 'Availible Devices', ...
'NumberTitle', 'off', ...
'MenuBar', 'none... |
function sfn_tr = trunc_fort_sfn( sfn, parms )
%Takes streamfunction from the fortran code (which lives on multiple
%grids)and truncates the parts the overlap with finer grids to return a
%streamfunction that is consistent with the matlab base flow solver.
mg = parms.mg; m = parms.m; n = parms.n;
%size of st... |
clear all; clc; close all;
%%
N = 1000;
%% Create von Mises Fisher distribution on a circle along a direction
nd = 3;
xg = ones(nd, 1); %45 degtree angle
xr = zeros(nd,1); %robot is always at origin.
mu = [-0.1226,
0.0310,
-0.0997];
kappa = 20; %concentration parameters
vonmises_samples = randvonMisesFisherm... |
% Thin the variables used to build the Gaussian Process
%
% This thins the variables used to build the Gaussian Process.
%
% >> object=thinVariables(object,x);
%
% If x is 1D array then it represents the elements to kept.
% If x is a scalar, then it is taken to be a stride such that the
% build points kept are 1... |
function [error] = kernreg_xval_error(X, Y, sigma, part)
% KERNREG_XVAL_ERROR - Kernel regression cross-validation error.
%
% Usage:
%
% ERROR = kernreg_xval_error(X, Y, SIGMA, PART)
%
% Returns the average N-fold cross validation error of the kernel regression
% algorithm on the given dataset when the dataset is par... |
function [DLcomm] = Xi_comm_k_DL(DLcomm, k)
J = DLcomm.DL_num;
Xi_DL_k = 0;
for jj = 1:J
alpha_dj = DLcomm.alpha_DL(jj);
W_jd_k = DLcomm.DL_weights{jj,k};
E_jd_k = DLcomm.DL_MMSE_nop{jj,k};
Xi_DL_k = Xi_DL_k+alpha_dj*real(trace(W_jd_k*E_jd_k));
end
DLcomm.Xi_DL(k) = Xi_DL_k;
end
|
function answer = even_fibonacci_numbers()
answer=2;
for i=3:50
a(1)=1;a(2)=2;
a(i)=a(i-1)+a(i-2);
if a(i)<4000000
if rem(a(i),2)==0
answer = answer + a(i);
end
end
end
|
global C1;
global C1a;
global C2;
global C2a;
global C3;
global C3a;
global poziom_zawor1_poprawiony;
global poziom_zawor2_poprawiony;
global poziom_zawor3_poprawiony;
global x01;
global x01a;
global x02;
global x02a;
global x03;
global x03a;
global alfa;
global alfa2;
global alfa3; |
function tpsbooster
% TPS booster lattice
% Created by Peace Aug/19/2009
% Modified and Tested by Peace Aug/25/2009
global FAMLIST THERING GLOBVAL
GLOBVAL.E0 = 3.00e9; % Energy = 3.0e9;
GLOBVAL.LatticeFile = 'B6P4D'; % mfilename
FAMLIST = cell(0);
disp(['>> Loading TPS booster lattice ', mfilename]);
AP = ape... |
%___________________________________________________________________%
% Multi-Objective Dragonfly Algorithm (MODA) source codes demo %
% version 1.0 %
% %
% Developed in MATLAB R2011b(7.13) ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Authors: Hamza Bourbouh <hamza.bourbouh@nasa.gov>, Andreas Katis <andreas.katis@nasa.gov>
% Notices:
%
% Copyright @ 2020 United States Government as represented by the
% Administrator of the National Aeronautics and Space Administration. All
% Rights R... |
function [err, p_bin, score] = cal_p_bin(filter, weight, f_num, nonf_num, data_bin, bin_num)
%UNTITLED14 Summary of this function goes here
% Detailed explanation goes here
filter_num = size(filter, 2);
p_bin = zeros(bin_num, filter_num);
err = zeros(filter_num , 1);
score = zeros(bin_num, filter_num);
for i = 1:1:f... |
% CheckLatex checks the Qs printed by LatexQ for normalization and
% orthogonality to P'*I.
for d = 0:3
for j = 1:4
disp(['---------- d = ' num2str(d) ', j = ' num2str(j) ' -----------']);
P = FindP(d, j);
P_denom = LCD(P);
P = round(P*P_denom);
disp(['P = 1/' num2str(P_denom)]);
disp(P);
... |
function dataSet = plotTimeGraph(csi_trace)
% plot time-CSI graph
% input : csi_trace - csi infomation(n*3)
% output : dataSet - new csi_trace
% -----------------------------------------------------------------------
m = size(csi_trace, 1);
dataSet = zeros(m, 3) ;
for k=1:m
t = get_scaled_cs... |
function [Q, R, x]=GramSchmidt(A, b)
% Returns an orthonormal basis for C(A), the QR decomposition, and
% optionally solves Ax=b.
n=size(A,2);
Q=A;
for i=1:n
for j=i+1:n
Q(:,j)=Q(:,j)-proj(Q(:,j), Q(:,i));
end
end
for i=1:n
n=norm(Q(:,i));
if(n>eps)
Q(:,i)=Q(:,i)/n;
end
end
R=Q'*A;
i... |
x = -pi:.01:pi;
y = sin(x)
plot(x,y)
title ('grafica de la funcion seno');
xlabel('x')
ylabel('Sin(x)')
|
function haar_im = filter_image_haar(im, block_size, haar_4, fcnHandleBlockSplitter)
% Input arguments: im - input image (of type double in range 0..1)
% N - block_size
% haar_4 - haar matrix of size 16x16
% fcnHandleBlockSplitter - function handle to block splitter (see problem 1.1 for signature)
% Output argumen... |
function SVM = train_allvsall_svm(X, Y, K, kernel, hyperparams, varargin)
% X is a matrix of training data, m by N
% -- (m examples of dimension N, one example per row)
%
% Y is an m-dimensional vector of labels in {1, 2, \dots, K}
[SVM, Xn] = svm_preprocess(X, 'normalize', true);
% We need to build K-1 different b... |
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