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function plot_band(lower, upper, lower_line, upper_line, plot_title, plot_xlabel, plot_ylabel, plot_legend, varargin)
% Plot lines and confidence band for dynamic variance decompositions
maxmin = @(x) max(min(x,1),0);
% Plot lines/bands
hold on;
if ~isempty(lower)
the_band = plot(1:length(lower), maxmin(lower), ... |
function lsequal2(displaymode,listname,nl,M,Wn)
% LSEQUAL2 Compute random phase signals with loadspeaker equalization
% for the loudspeakers for HRTF measurement.
% LSEQUAL(displaymode,listname,nl,M,Wn)
% diplaymode=1 shows the inverse filters,
% listname = name of a file with name... |
function SmoothArray = smooth(Array,m)
%13-month running mean
n = length(Array);
k=floor(m/2);
SmoothArray(n) = zeros();
SmoothArray(1:k) = mean(Array(1:k));
for i = k+1 : n-k
SmoothArray(i) = sum(Array(i-k:i+k))/m;
end
SmoothArray(n-k:n)=mean(Array(end-k:end)); |
classdef PF_Fa_DwS < PF_Fa
%PF_Fa_DwS Summary of this class goes here
% Detailed explanation goes here
methods
function obj = PF_Fa_DwS(f)
obj = obj@PF_Fa(f);
end
end
end
|
logger = kifu.Logger('project', 'thtfrhgfest2');
data = rand(10, 10, 1, 100);
responses = categorical(round(rand(100,1)));
layers = [
imageInputLayer([10, 10, 1])
fullyConnectedLayer(2)
softmaxLayer
classificationLayer];
options = trainingOptions('sgdm', 'OutputFcn', @logger.log);
trainNetwork(data,... |
% created: Tilke Judd, Feb 2011
% updated: Zoya Bylinskii, Aug 2014
% This finds the similarity between two different saliency maps when
% viewed as distributions (equivalent to histogram intersection).
% score=1 means the maps are identical
% score=0 means the maps are completely opposite
function score = similarity... |
Nimgs = 15;
lr = zeros( Nimgs );
rf = zeros( Nimgs );
rf1 = zeros( Nimgs );
for u_img = 1 : Nimgs
u_img
for gt_img = 2 : Nimgs
for fld = 1 : 5
%img = 50;
%fld = 10;
%ngts = 20;
img = u_img + gt_img;
ngts = gt_img;
% img = 40;
% ... |
function [num_S_0,num_P_0,num_O_0,Is_FirstOrder, Is_SecondOrder, Is_ThirdOrder,T_unique_embeddings,ic, ia] = GetOrderInfo_sherlock_v2(TestData)
tupleId2IndMap = containers.Map(TestData.unique_tuple_ids, [1: numel(TestData.unique_tuple_ids)] );
T_embedding = TestData.unique_tuple_features(get_val_array... |
function passed = test_vid2adj_edges
% test geometry
% contains non-manifold vertex
% test boundary vertex, non-manifold interior vertex and manifold interior
% vertex
nv=10;
edges=int32([
3,5; % 1
1,2; % 2
2,3; % 3
1,10; % 4
10,6; % 5
1,6; % 6
... |
function stat = within_subj_tf_cluster(GA_tf_CONV,GA_tf_NOCH,neighbours,freq,subj,latency)
%%
cfg = [];
cfg.channel = {'EEG'};
cfg.latency = latency; % 'all';
cfg.frequency = freq;
cfg.method = 'montecarlo';
cfg.statistic = 'ft_statfun_depsamplesT';
cfg.correctm ... |
%Author: REDJAN F. SHABANI
%Universita' degli studi di Roma "LA SAPIENZA"
%Ingegneria Informatica - Intelligenza Artificiale
%Version: Dec. 2009
%Class definition for Perceptron objects
classdef perceptron
properties
bias;%unit bias
weights;%input weights
end
methods
%method costru... |
function data=read_namelist(filename,namelist)
%data=READ_NAMELIST(filename,namelist) Returns values from FORTRAN namelist
% This function reads a FORTRAN input namelist and returns the values as
% the fields of a structure. Multidimensional arrays have their indicies
% scaled and shifted to fit the matlab numbe... |
function generateCompetitionPlot_new(folder,sxBySy,sxBySyTex)
if nargin < 3
sxBySyTex = 150 * 150;
end
gain_thres = 0.1;
nChannel = 0;
load(sprintf('rawmodel_basis_%s_size%d.mat',folder,sxBySy),'template'); nChannel = nChannel + 1;
template_all{nChannel} = template;
ax = 10;
load(sprintf('rawmodel_tex_%s_size%d... |
% teleTrain2
% Constants
global ts;
center = 0;
gain = -1;
startTime = 10;
interval = 30;
lockDuration = 1;
preTest = 16;
visStimN = [1, 0, gain, center];
odor1Laser = '0000';
odor2Laser = '0000';
odorOn = 'ff00';
laserOff = '0000';
odorOff = '0000';
trialStructureList(1,:) = {0, visStimN, laserOff,odorOff... |
% Left Stance Domain
%
% Contact: Left Toe
function domain = LeftStance(model, load_path)
% construct the right stance domain of Cassie
%
% Parameters:
% model: the right body model of Cassie robot
%% first make a copy of the robot model
%| @note Do not directly assign with th... |
function [icoord, jcoord, kcoord, head_box, quality] = ini_head_n_hands( IM, IM2, use_kinect, debug, slow_version )
%[icoord, jcoord, kcoord, head_box, quality] = ini_head_n_hands( IM, IM2, use_kinect, debug, slow_version )
% Find coordinates of head and hands (kcoord is either the depth or red)
% and the head bounding... |
% Sport_Utility_in.m ADVISOR 3.1 rev b input file created: 12-Jan-2001 16:01:33
global vinf
vinf.name='Sport_Utility_in';
vinf.drivetrain.name='conventional';
vinf.fuel_converter.name='FC_SI102_emis';
vinf.fuel_converter.ver='ic';
vinf.fuel_converter.type='si';
vinf.transmission.name='TX_5SPD';
vinf.transmission.v... |
%function DCA_embedding(NetList)
addpath('../Data/');
clear;
maxiter = 20;
restartProb = 0.5;
nnode = 3;
NetList = {'Network.txt'};
dim = 50;
for i = 1 : length(NetList)
tic
fprintf('Processing network %d ...\n', i);
netID = char(NetList(i));
ppi_net = loadNetwork(netID, nnode);
p... |
%Lectura Sperm 0 y 1
lee_archivos1 = dir('C:\Users\Ruth\Desktop\train\label\*.jpg');
for i = 1:length(lee_archivos1)
%Obtiene el nombre de los archivos de la carpeta
archivo1 = lee_archivos1(i).name;
A = erase(archivo1,".jpg");
Im= imread(strcat('C:\Users\Ruth\Desktop\train\label\',archivo1));
... |
datafolder = fullfile('E:\SURYA-PRO\speech command\speech_commands_v0.01');
ads = audioDatastore(datafolder,'IncludeSubfolders',true,'FileExtensions','.wav','LabelSource','foldernames')
ads0 = copy(ads);
commands = categorical(["yes","no","up","down","left","right","on","off","stop","go"]);
isCommand = ismember(ads.L... |
function [file_name,folder_name] = get_names(file_path,rep)
%This function returns the filename of a given file from the full file_path
%, removing all the folder names before the actual file. It also replaces underscores '_' with empty spaces '
%'. Additionally, it also provides the folder name that the files is in.
%... |
function [y] = m1_hiQ_eq(q,a,b,c2,th1)
y = (a-log(q))/b - c2 + th1 - 2*q - 1/b;
end |
function x = trans2_3(theta, point)
mat2_3 = [cosd(theta) -sind(theta) 0 3; sind(theta) cosd(theta) 0 0; 0 0 1 0; 0 0 0 1];
x = mat2_3*point;
end |
% UQ_LISTINPUTS return all the INPUT objects available in the UQLab session.
% UQ_LISTINPUTS returns a list a INPUT objects that have been created by
% the <a href="matlab:help uq_createInput">uq_createInput</a> command.
%
% The INPUT that is currently selected (used by default in several UQLab
% command... |
function []=CompileConcentrationCurve_v1(dataName,numFrames)
%Use file" {Name}_AnalysisData_NoHeaders.txt
data=load([dataName '_NoHeaders.txt']);
%% Figure out which spots came from which well
dataindex=data(:,1)~=0;
data_clean=data(dataindex,:);
NumSamples=length(data_clean);
%Identify wells on 384 plate wrt 96 plat... |
function [W_fuel] = performance(W_fuel_c, W_wing_c, L_c, D_c)
R = 12569.5e3; % m
CT = 1.8639e-4; % N/Ns
V = 243; % m/s
base_weight = 154.44e3;
WTO_max = W_fuel_c + W_wing_c + base_weight;
W_fuel = WTO_max * (1-( 1 / (0.938*( exp((CT*R*D_c)/(V*L_c))))));
end |
clear;
close all;
clc;
dirpath = uigetdir('.','Please pick MEM data directory');
subjects = dir(strcat(dirpath,'/S*'));
for ear = 1:2
if ear == 1
eartag = '_L';
earname = 'left';
else
eartag = '_R';
earname = 'right';
end
for k = 1:numel(subjects)
s = subjects(... |
function funct = registerfunction(controller,functionname,channelname)
% REGISTERFUNCTION Associates a callback function with a specific channel
% name.
% FUNCT = REGISTERFUNCTION(CONTROLLER,FUNCTIONNAME,CHANNELNAME) returns
% the Java Function object that is created within this function.
% CONTROLLER is th... |
% ADVISOR data file: ESS_UC2_Maxwell_temp.m
%
% Data source:
% Testing at NREL's Battery Thermal Management Testing facility.
%
% Data confirmation:
%
% Notes:
% These parameters describe the Maxwell PC2500 Ultracapacitor.
%
% Created on: 11/01/01
% By: Tony Markel and Matt Zolot, NREL
%
% Revision history at end of... |
function JobSyubmitResults(fileID,folder,MatPunique)
% submit the job
fprintf(fileID,' mdb.jobs["%s"].submit(consistencyChecking=OFF) \n',MatPunique);
% wait for the job to be complete
fprintf(fileID,' mdb.jobs["%s"].waitForCompletion(); \n',MatPunique);
% read output database to retrieve the J-i... |
function selectAnnos(imgset)
if nargin < 1
%error(['usage: selectAnnos(imgset)']);
imgset = 'test_coco_2000_clean';
end
addpath([cd '/VOCcode'])
VOCinit;
file = sprintf(VOCopts.imgsetpath, [imgset]);
fprintf('file list %s\n', file);
[ids] = textread(file, '%s');
selected = {'sofa', 'diningtable', 'refrigerator', 'w... |
function D2u = grad(Du,type)
%% Input
%% Output
%% Coder:Rubing Han
%% Lastest Version:2021/1/15
if type == 0
D2u(:,:,1) = Delta(Du,1,0);
D2u(:,:,2) = Delta(Du,2,0);
else % type == 1
D2u(:,:,1) = Delta(Du(:,:,1),1,0);
D2u(:,:,2) = Delta(Du(:,:,2),2,0);
D2u(:,:,3) = (Delta(Du(:... |
function [X] = norm_l2(X,y, opt)
% norm_l2(OPT)
% Spheriphies the data according to the l2 norm.
%
% INPUTS:
% -OPT: must contain the field X
%
% OUTPUT:
% -X: normalized input data matrix
for j = 1:size(X,1)
X(j,:) = X(j,:)/(norm(X(j,:)) + eps);
end
if opt.verbose
fprintf('\tL2 Normalized\n');
end
|
Exp = {'Participant'};
load('ExpInfo');
[j,k] = size(ExpConditions);
for c = 1:j
Exp = horzcat(Exp,ExpConditions(c,1)); %#ok<*AGROW>
end
Exp = horzcat(Exp,'Trial Number');
Heading = {};
HeadingsExport = horzcat(HeadingsExport,'Pelvis Sway (ML) - Mean');
HeadingsExport = horzcat(HeadingsExport,'Pelvis Swa... |
clear all
close all
root=fullfile(mdf,'stn_rotameter\STN_Rotameter\');
cd(root);
addpath(fullfile(mdf,'matlab_scripts\wjn_toolbox'));
addpath(fullfile(mdf,'stn_rotameter\rotameter_scripts'));
pat=patienten;
gfiles=ffind('newoneth_gamma_brown_burst_r*.mat');
for c=1:length(gfiles);
d=load(gfiles{c});
... |
%Part1 a
%**********************************************************************
load ORLfacedata;
X = data([1:10, 301:310],:);
Y = labels([1:10, 301:310]);
%create a cell to store datase
C = [];
%create 50 partitions and store in the cell
for index = 1:50
%create a partitions
[Xtr, Xte, Ytr, Yte] = PartitionData(X,... |
% PRP: add field for derivative from prior
classdef ErrorPackage < DataPackage
methods
function merge(obj, package)
if all(obj.datasize == package.datasize)
obj.data = obj.data + package.data;
else
error('ILLEAGAL OPERATION');
end
e... |
T_old.nodes=[1,-1,2;sqrt(3),0,-3];
T_old.n=[1;2;3];
T_old.e=[1;2;3];
T_old.t=[1];
T_old.En=[1,2,3;2,3,1];
T_old.types=[1];
T_old.info=[];
T_old.num_nodes=3;
T_old.num_tri=1;
T_old.num_edges=3;
T_old.refined=zeros(7,T_old.num_edges);
[T_new]=refine(T_old,1,2); |
close all;
clear all;
%Parameters for finding corners (HarrisTop)
DoWarp = 1;
SIGMA = 1.5; K =0.04; LOCAL_RADIUS= 20; THRESHOLD = 50;
%CORNER_NUM = 400;
MARGIN = 25;
%Parameters for matching (knnMatch)
MATCH_NUM = 50;
% Get input images from input directory, and store them in dataset{}
InputDir = 'C:\Users\panda\Des... |
classdef testADLStoreEndUserAuth < matlab.unittest.TestCase
% TESTDLSTOREENDUSERAUTH This is a test stub for a unit testing
% The assertions that you can use in your test cases:
%
% assertTrue
% assertFalse
% assertEqual
% assertFilesEqual
% assertElementsAlmostEqual
%... |
function [mu, w, D] = ComputePCABasis(X)
%COMPUTEPCABASIS Compute the eigenfaces
% compute the mean of all the faces
mu = mean(X, 2);
% subtract the mean from each face
X = X - repmat(mu, 1, size(X,2));
% if the vector length is very large, use an alternate way of computing
% eigenvector... |
% GSE_Analysis.m by Amanda Smelser, created 6/28/12
% For GSE analysis of particles tracked by Video Spot Tracker (VST).
% VST output (*.vrpn file) must be converted to *.vrpn.mat file using
% vrpnLogToMat, provided by UNC, prior to running this program.
% This wrapper program calls the following function... |
function [ t_old,t_new,diff] = line_by_liney( t_old,t_new,z1,z2,z3,m,n,value,mat,diff )
%this function implements the line by line gauss siedel method along the
%y-direction
mat1=zeros(n,n);
value1=zeros(1,n);
for j=z1:z2:z3
if j==1
for i=1:m
if i==1
value1(i)= (mat(i,2)*t_old(2,... |
function [PSI_all,psi,psi2,granger,granger2,g1,g1_f,G,g_f,FB,FB1]=getval_psi(P,Q,labelconditions3,label1,s,w,fn)
n=min([length(P.(labelconditions3{1}).(label1{w}){s}) length(P.(labelconditions3{2}).(label1{w}){s})...
length(P.(labelconditions3{3}).(label1{w}){s}) length(P.(labelconditions3{4}).(label1{w})... |
function [ matout ] = flatmat( matin )
%UNTITLED8 Summary of this function goes here
% Detailed explanation goes here
matout = reshape(matin,1,size(matin,1)*size(matin,2));
end
|
% brainmovie3d() - generate a sequence of images showing event-related coherence,
% event-related spectral perturbations, and inter-trial coherence
% of localized EEG waveforms. Uses outputs of timef() and cross().
% Usage:
% >> brainmovie3d(ersps,itcs,crossfs_amp,crossfs_phase,TIMES,freqs... |
function[V6,tiempo]=save_samples(x,transitions)
%Loads the .continuous file
h=messbox('Loading .continuous file','Current Progress')
[data6m, ~, ~] = load_open_ephys_data_faster(x);
close(h);
fs=20000; %Original sampling frequency.
[C6,tiempo]=reduce_data(data6m,transitions,fs,3);
clear data6m
A=cellfun('length',C6);
... |
%%
function [a_tr, a_te, tr_error, te_error]=temporal_ridge_fc_tr_te(corrs,k_values,tr_all,te_all,lambda,duration)
% pos: voxel_number by 3 matrix
% k_values: the number of neighbor voxels ( p_values in the algorithm )
% tr_all, te_all: train and test data (N by voxel_number matrix, N:sample size
%%
p=k_... |
function [substr, isEnsemble , ensStr]= splitClassifierNames(name)
allMdls = string(classreg.learning.classificationModels);
name = convertCharsToStrings(name);
match = rmEmptyStr(regexpi(name,allMdls, 'match'));
loc =arrayfun(@(x) strfind(lower(name),x), lower(match));
substr= toCol(match(pick(@sort,2, loc)))... |
% Change raw data files to be compliant with current analysis.
% Changes are renaming columns or fixing bugs in the code that are well
% established.
% No data changes in this code.
%
% V1.0 October 30, 2017
function preprocessing_overwrite_eyelink_settings_v10(settings)
% Show file you are running
p1 = mfilename;
f... |
function boolean= analyzeBW(targetBW)
%ANALYZEBW 此处显示有关此函数的摘要
% 此处显示详细说明
height=size(targetBW,1);
width=size(targetBW,2);
area=height*width;
L=logical(targetBW);
ct=regionprops(L,'centroid');% ct means centroid.
ctCell=struct2cell(ct);
bb=regionprops(L,'BoundingBox');% bb means BoundingBox
bbCell=struct2cel... |
function [y,s] = Simul_MSAR(theta,P,T)
%Fonction permettant de simuler un processus MS-AR à probabilités de
%transition variables, à l'aide d'une chaine de markov à probabilités
%de transition variables.
%la simulation a propremement parler et ensuite la même que pour un
%processus de markov simulé ... |
function [ug,t] = AccTHfromPSD(G,dt,Ts,dOmega)
%
% Acceleration time history from a one sided Power Spectral Density (PSD)
%
% ug = AccTHfromPSD(G,dt,Ts,dOmega)
%
% Description
% This function calculates an acceleration time history that
% corresponds to the given one sided Power Spectral Density (PSD).... |
function product = myprod(inputArray)
rows = size(inputArray, 1);
cols = size(inputArray, 2);
product = 0;
for i = 0: rows
for j = 0: cols
product = product * inputArray(rows, cols);
end
end
end
|
function cord_new=Rz(cord,theta,cord0)
x0=cord0(1);
y0 = cord0(2);
z0 = cord0(3);
s= sind(theta);
c = cosd(theta);
T = [c -s 0;
s c 0;
0 0 1];
vector_old =[cord(1)-x0, cord(2)-y0, cord(3)- z0];
vector_rotated = T*vector_old';
cord_new = vector_rotated' + [x0 y0 z0];
|
clear all
%read in datafile from POEM2 COBALTS
%PISC_data = csvread('/volumes/bigDisk/POEM2/CODE/Data_hindcast/CSV2/Data3_PISC.csv');
%plot(PISC_data(:, 10))
%read in datafile from POEM2 TP
subplot(2, 2, 1)
PISC_data = csvread('/volumes/bigDisk/POEM2/CODE/Data_hindcast/CSV2/DataTP_PISC.csv');
plot(PISC_data(:, 1:10))
... |
function saveOPC_toFile( var , type)
current_date = datetime();
filename = datestr(current_date,'yyyyMMdd_HHmmSS_');
filename = strcat(filename,type,'.txt');
% fprintf('filename=%s\n',filename);
fileID = fopen(filename,'w');
fprintf(fileID, '%7.4f %9.4f %10.4f\n',var');
fclose(fileID);
end
|
function [] = showMovieForSpeed(dataMtr)
% cmap = jet(256);
limits = [];
limits(1) = double(min(dataMtr(:)));
limits(2) = double(max(dataMtr(:)));
handle = implay(dataMtr);
cmap = jet(256);
handle.Visual.ColorMap.Map = cmap;
handle.Visual.ColorMap.UserRangeMin = limits(1);
handle.Vis... |
function octInt = toOctal(action)
% TOOCTAL returns the octal representation of an AclAction
%
% Example:
% % return the octal value of myAclAction
% myOctalInt = azure.datalake.store.acl.AclAction.toOctal(myAclAction)
% Copyright 2018 The MathWorks, Inc.
% validate input
p = inputParser;
p.CaseSensitive... |
function [r888, KLAYERS, SARTA] = cris888_sarta_wrapper_bc(rtpin, nguard);
% function [r888, KLAYERS, SARTA ] = cris888_sarta_wrapper_bc(rtpin, nguard);
%
% Wrapper for running SARTA for CrIS 8/8/8 mm OPD. Uses the
% IASI RTA to calculate Guassian apodized IASI radiances.
% The IASI radiance is then unapodized and tru... |
function cover=GetObstacleCover()
global accuracy;
global xmax;
global ymax;
global robot_size;
cover=[];
for i=floor(0*10/accuracy)-floor(robot_size/2/accuracy)+1:1:ceil(10*10/accuracy)+floor(robot_size/2/accuracy)+1
for j=floor(38.5*10/accuracy)-floor(robot_size/2/accuracy)+1:1:ceil(41*10/accuracy)+floor(robot_si... |
function fFitness=calculateFitness(fObjV)
fFitness=zeros(size(fObjV));
ind=find(fObjV>=0);
fFitness(ind)=1./(fObjV(ind)*0.5+1); % 设为0.5效果是最好的，对于布谷鸟来说
% fFitness(ind) = exp(-fObjV(ind)*0.05);
ind=find(fObjV<0); % 怎么会有小于0的呢？!
fFitness(ind)=1+abs(fObjV(ind));
|
%% FFT Currents, i_actual% Frequency Analysis
close all
% For example, consider the following data x with two component frequencies
% of differing amplitude and phase buried in noise:
fs = 250; % Sample frequency (Hz)
% sample_start = 900;
% sample_end = 2700;
sample_start = 100;
sample_end... |
% postprocessing on when the best design is found
probs = sparse(zeros(2455,1));
load ggbs_test6_s10000_inq10_forprofit.mat;
probs = probs + prob(:,31);
load ggbs_test1_s10000_inq10_forprofit.mat;
probs = probs + prob(:,31);
load ggbs_test11_s10000_inq10_forprofit.mat;
probs = probs + prob(:,31);
load ggbs_test... |
% WPDTOOL ウェーブレットパケット表示ツール
% VARARGOUT = WPDTOOL(OPTION,VARARGIN)
% Copyright 1995-2004 The MathWorks, Inc.
|
%%
for i = 1:(floor(length(rms(:,2))/5))
binsRMS(i) = mean(rms((5*i-4):(5*i),2));
end
%%
%using data from hammer1, binsRMS(:,2), gyro
trainIndex = [243,252;252,261;261,270;269,278;278,287;...
286,295;295,304;304,313;313,322;322,331;331,340];
%%
hammerExamples = zeros(11,10);
for i = 1:length(trainIndex)
... |
% XXXXXXXXXXXXXXXXXXXXXXXXXXXX htet_generate_cross_validation_data XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
%
% Author : Htet
% Date : Sep 11, 2019
% Function : generate 5-fold cross validation data that consist of failed banks and survived banks
% Syntax : htet_generate_cross_valid... |
%Backpropagation start
out(it,:,:) = outputs(1).value(:,:);
diffsum = outputs(1).value - expected;
deroutput = sigmoid_prime(outputs(1).value,1,0);
deltaoutput = diffsum .* deroutput;
avgdiff(it) = mean(abs(diffsum));
for y = 1:numoutputs
for x = 1:hiddensdef(1)
tmp = ( deltaoutput / hiddens(end,x).value ... |
classdef TabularCpd < CondProbDist
%TABULARCPD
properties
dof;
ndimensions;
params;
prior;
end
methods
function model = TabularCpd(varargin)
%
end
function computeMapOutput(model,varargin)
%
notYetImplemented('TabularCpd.computeMapOutput()');
end
function fit(model,varargin)
%
... |
close all;
[file, path] = uigetfile('/Users/preston/MATLAB-Drive/Cropped_image_stacks/*.mat', 'MultiSelect', 'on');
if isa(file, 'char')
file = {file};
end
fig = figure(1);
for i = 1:length(file)
load(fullfile(path, file{i}));
fprintf('h = %d, w = %d\n', h, w);
arr = zeros(size(mydata_bw, 3), 1); % im... |
classdef PPOptProblem3D < OptProblem
properties
facetMap
end
methods
function obj = PPOptProblem3D()
end
function createProblem(self, splitedMembers, nozzleMaxAngle, maxTurnAngle, solverOptions, knowAngleValue)
xZoneNumber = size(sp... |
function out=runlength(BinaryVector,num)
% Make sure BinaryVector is a column vector
if size(BinaryVector,2) > 1
BinaryVector = transpose(BinaryVector);
end
if num == 0
% Augment binary vector
BinaryVector = [1;BinaryVector;1];
out = find(diff(BinaryVector)==1)-find(diff(BinaryVector)==-1);
... |
function OUT = lwtcoef2(type,xDEC,LS,level,levEXT)
%LWTCOEF2 Extract or reconstruct 2-D LWT wavelet coefficients.
% Y = LWTCOEF2(TYPE,XDEC,LS,LEVEL,LEVEXT) returns the coefficients
% or the reconstructed coefficients of level LEVEXT, extracted from
% XDEC, the LWT decomposition at level LEVEL obtained with the
%... |
% function Test_group_lasso
% min 0.5 * ||A * x - b||_2^2 + mu * ||x||_{1,2}
% generate data
seed = 97006855;
ss = RandStream('mt19937ar','Seed',seed);
RandStream.setGlobalStream(ss);
n = 512;
m = 256;
A = randn(m,n);
k = round(n*0.1); l = 2;
A = randn(m,n);
p = randperm(n); p = p(1:k);
u = zeros(n,l); u(p,:) = rand... |
% chklimits.m
% A script to quickly find indices at which drivetrain limits were reached. For
% this script to work, a simulation must have been run which generates boolean
% flags, *_limited, with TRUE indicating that the particular limit was reached.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function RenameImagePilotDicom
% RenameImagePilotDicom reads the patientID from the Dicom-file to rename
% the Dicom-file with patientID as filename. This function will search
% for all Dicom files in the selected folders and subfolders.
% April 2017 ImagePilot doesn't add file extension to dicom files, what
% ... |
%Process the sliding along bar with one hand while other holds bar
addpath('../');
addpath(genpath('C:\asl_git\kalmanfilter\ik_framework\common\ars'));
%Load post alignment data
load('C:\aslab\data\bench2\featureSet_mocap_post_const1_Subject02_lyingdown_sliding_12.mat')
trc = dataInstance_trc_post;
m_names = fieldnam... |
mdl='PlantNL';
% Obtain default operating point
op = operspec(mdl);
% Set the value of output concentration C to be known
op.Outputs.Known = true;
% Specify operating regions
C = [2 3 4 5 6 7 8 9];
% Initialize an array of state space systems
Plants = rss(1,1,1,8);
for ct = 1:length(C)
% Compute equilibrium operat... |
function [Wx, Wy] = trainMMSSH(X, Y, dMMSSH)
%
% Input
% X = features matrix [Nfeatures, Nsamples]
% Y = features matrix [Nfeatures, Nsamples]
% SHparam.nbits = number of bits (nbits do not need to be a multiple of 8)
%
[Ndimx Nsamples] = size(X); [Ndimy] = size(Y,1);
% algorithm
% option = struct('disp',0);
Wx... |
%calvo_ss.m
%Steady state of the Two-sector open economy model with Staggered price
%setting in the nontraded sector developed in the chapter entitled ``Nominal Rigidity, Exchange Rates, And Unemployment,'' of
%the book ``Open Economy Macroeconomics,''
%by Martin Uribe and Stephanie Schmitt-
%Grohe, Prince... |
function [output] = calUtilde(what_vec, mu_vec, sigma_mat, gamma_c)
output=(mu_vec')*what_vec-(gamma_c/2)*((what_vec')*(sigma_mat*what_vec));
end
|
ziad = 1; |
function result = is_cyl_coordinate_data(r, phi, z)
if is_double(r) && length(r) == 1 && isreal(r) &&...
is_double(phi) && length(phi) == 1 && isreal(phi) &&...
is_double(z) && length(z) == 1 && isreal(z)
result = 1;
else
result = 0;
end
|
%
% irpFilterDistanceMap uses various filters (median, average) to smooth the
% distance map.
%
% Usage:
% FilteredMap = irpFilterDistanceMap(DistanceMap);
function FilteredMap = irpFilterDistanceMap(DistanceMap)
DistanceMap = irpInterpolateRows(DistanceMap);
DistanceMap = medfilt2(DistanceMap,[3,3]);
% set all z... |
function visualize_network_webweb(A, varargin)
% visualize_network(A, varargin)
%
% optional inputs
% case {'webwebdir'}
% case {'node_names'}
% case {'groups'}
% case {'group_names'}
% case {'values'}
% case {'value_names'}
webwebdir = '/Users/clinpsywoo/Dropbox/MATLAB/network_tools/webweb_v3.2';
vis_groups = fals... |
%==========================================================================
% Genetic algorithm function
%==========================================================================
function [new_chromosomes,fitness,accuracy,features_used] = genetic(chromosomes,...
num_features,population,crossover_rate,mutation_rate,X... |
%% load in subject
clear all; clc
addpath(genpath('C:\Users\gridlab\Desktop\ai phuong\HAPTIC SUBJECTS\SUBJECTS'))
addpath(genpath('C:\Users\gridlab\Desktop\ai phuong\HAPTIC SUBJECTS\CODE\Extraction'))
% ui box for input
% have to have a value assigned to the file to have it wait to finish
% loading...mathwork... |
function results = Itegration(position,velocity,position_DR,velocity_DR,gyro_heading_deg)
%parameters
deg_to_rad = 0.01745329252; % Degrees to radians conversion factor
rad_to_deg = 1/deg_to_rad; % Radians to degrees conversion factor
latitude_deg = position(:,1);
longitude_deg = position(:,2);
height = positio... |
function val = subsref(p, s)
%% extract panel
% extract panels array
userData = get(p.fig, 'UserData');
if ~isfield(userData, 'panel')
error(['panel reference no longer valid - "' int2str(p.id) '" not found in figure "' num2str(p.fig) '" (was associated figure closed/reopened?)'])
end
panels = userData... |
classdef FilterClass < handle
properties (SetAccess='protected', GetAccess='public')
maxNPoles = 20;
% filter parameters
samplingRate = nan;
cornerFrequency = nan;
nPoles = nan;
pbRipple = nan;
LoHi = 0; % low-pass (0), high-pass (1), band-pass (2... |
clear all
addpath(genpath('./'))
FontSize=10;
%set the situation of the classification problem in the demo.
numClass=5;
numSampleForEachClass=5;
centerForEachClass=[-2 -1 0 1 4];
numFeatureDims=100;
%make data for validation
feature=[];
label=[];
for index_class=1:numClass
temporal_feature=zeros(numSampleForEachC... |
function [xlist,ylist]=adaptive(func,opt)
if ~isa(func,'function_handle')
error('%s is not a function handle',func2str(func));
end
if ~isa(opt,'struct')
error('option is not a struct');
end
if isfield(opt,{'min','max'})
if opt.min>=opt.max
error('min of plot range %f is larger than max %f',opt.min,o... |
function de = quickde(ts,dim,lag,nmin)
% de = quickde(ts,dim,lag,nmin)
% does a quick-and-dirty characterization of determinism using de
% ts -- the time series
% dim -- the embedding dimension
% lag -- the embedding lag
% nmin -- optional: number of points to use for delta-eps fitting
% default value: 500
% ... |
function [] = exitProg()
% Last Update: 27/04/2016
global PROG;
%% Define Ending Date and Elapsed Time
PROG.elapsedTime = toc(PROG.myTic);
PROG.dateEnd = datestr(clock);
%% Print Exit Message
fprintf('\n\nTotal Elapsed Time: %1.4f [s]\n',PROG.elapsedTime);
entranceMsg('END');
%% Ready Sound
% WarnWave = [sin(1... |
function outvar_twyd = dist_towed_vehicle(veh_depth, wire_out)
% outvar_twyd = DIST_TOWED_VEHICLE(veh_depth, wire_out)
%
% inputs
% - veh_depth: vector with the towed vehicle depth, in
% meters (i.e. derived from pressure sensor).
% - wire_out: vector (same length as veh_depth) with the... |
function multiObjectTracking1()
options=0;
obj = setupSystemObjects();
tracks = initializeTracks();
nextId = 1;
while ~isDone(obj.reader)
frame = readFrame();
[centroids, bboxes, mask] = detectObjects(frame);
[cA1] = DiscreteWT(mask);
[eigvector, eigvalue] = PCA2(cA1, options);
... |
function [ W0 ] = weightLoop( parameters, tailParameters)
%UNTITLED11 Summary of this function goes here
% Detailed explanation goes here
%%%%% Optimizer: Weight Estimation Inner Loop
MTOW = parameters.W0;%%% inital MTOW guess
wNew = 1.1*MTOW; %%% initialize a dummy weight variable so loop will run
W0 = wNew; %%% ... |
% I have not tested this to make sure it works yet, but I didn't change
% anything from what Lucas had except I commented more.
function regions = find_clusters(frame, threshold, dir)
%INPUTS:
% frame: a grayscale array of images F(row,col,t), where t is the array index
% threshold: how many white pixels must ... |
function y=sigmoid(x)
y=1./(1+exp(-x));
end |
% WDFIGUTL は、Wavelet Toolbox のデモの Figure に関連するユーティリティ
% です。
% VARARGOUT = WDFIGUTL(OPTION,VARARGIN)
% Copyright 1995-2003 The MathWorks, Inc.
|
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