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%% INIT
%These files use simulation resuls stored in the "data" directory%
%to update the simulation, run the simulation separately. (AFTER RUNNING%
%THE COMMON FILE "PART5")%
close all;
clear;
clc;
psi_ref = 30;
fig = 1;
load('data/part_1_data.mat');
load('data/part_2_data.mat');
load('data/part3_data.mat... |
function [PeakData, PeakNames,PeakPars] = feature_Peak(V, ttChannelValidity, Params)
% MClust
% [PeakData, PeakNames] = feature_Peak(V, ttChannelValidity)
% Calculate peak feature max value for each channel
%
% INPUTS
% V = TT tsd
% ttChannelValidity = nCh x 1 of booleans
%
% OUTPUTS
% Data - nSpikes x nCh pe... |
%---------------Ergasia 1 - Extended Kalman Filter-------------------------
clear;
clc;
% process noise covariance matrix
q = 0.001;
Q = [q, 0, 0, 0, 0, 0, 0;
0, q, 0, 0, 0, 0, 0;
0, 0, q, 0, 0, 0, 0;
0, 0, 0, 0, 0, 0, 0;
0, 0, 0, 0, 0, 0, 0;
0, 0, 0, 0, 0, 0, ... |
% book : Signals and Systems Laboratory with MATLAB
% authors : Alex Palamides & Anastasia Veloni
%
%
%
% problem 7 - Graph of
% r(t)-r(t-1)+r(t-2)-2r(t-3)+r(t-5)
t=-1:.001:10;
x=t.*heaviside(t)-(t-1).*heaviside(t-1)+(t-2).*heaviside(t-2)-2*(t-3).*heaviside(t-3)+(t-5).*heaviside(t-5);
plot(t,x); ... |
function [mean_hsv] = getBaselineDescriptor(thisModel, vid, mask)
n_f = 5;
bins_hsv = [16 4 4];
parts = [0 0.5 1];
% compute bin centers
min_max_hsv = [0 1; 0 1; 0 1]; centers_hsv = cell(1, 3);
for i = 1 : 3, centers_hsv{i} = min_max_hsv(i, 1) + (min_max_hsv(i, 2)-min_max_hsv(i, 1))/bins_hsv(i)/2 : (min_m... |
function y = erfaterms(x,iter)
[xx,ii] = meshgrid(x,1:iter);
y = 1 + sum(((-1).^ii) .* (ii*2-1) ./ ((2*xx.^2).^ii));
|
function [M,B,A]=ul2tank(w0)
% [M,B,A]=ul2tank(w0)
%
% \dot{x}=M\sqrt{x}+Bu
%
tank_par
a1=ao*sigmao*sqrt(2*g)/C;
a2=al*sigmal*sqrt(2*g)/C;
M=[-a1 a2; a1 -2*a2];
B=[0 1/C]';
if nargin>0, % A linear model (A: system matrix)
[u0,x0]=offset(w0);
A=M*diag(0.5./sqrt(x0));
end
|
% lx = Ilde(PL,PU,x)
%
% interval largest distance error of a realization x
function lx = Ilde(PL,PU,x)
[n,n] = size(PL);
lx = 0;
e = 0;
for i=1:n
for j=1:n
if (PL(i,j)>0)
Dij = norm(x(:,i)-x(:,j));
e = max(PL(i,j)-Dij,0) + max(Dij-PU(i,j),0);
if e > lx
lx = e;
... |
%%
clear all, close all, clc
run('my_prefs')
path0 = cd;
%% load images
options.WindowStyle='normal';
prompt={'How many images do you want to load:'};
def={'2'};
tmp = inputdlg(prompt, 'How many images do you want to load', 1, def, options);
n_img = str2double(tmp(1));
filename = cell(n_img, 1);
pathname = cell(n_img... |
function imdb = TY_roidb_from_proposal(imdb, roidb, regions, varargin)
% roidb = roidb_from_proposal(imdb, roidb, regions, varargin)s
% --------------------------------------------------------
% Faster R-CNN
% Copyright (c) 2015, Shaoqing Ren
% Licensed under The MIT License [see LICENSE for details]
% ----------------... |
data;
MW_EG = 62.07 / 1000.0; % (kg/mol)
MW_DG = 106.12 / 1000.0; % (kg/mol)
MW_PG = 76.10 / 1000.0; % (kg/mol)
MW_2EH = 130.23 / 1000.0; % (kg/mol)
options = optimoptions(@lsqcurvefit,'Display','iter-detailed',...
'FunctionTolerance',1e-6,...
... |
function image_com = compensate( image, method )
%%%%%%%%%%%%%%%%%%%
% 这个函数是用来对光照偏角太大的图片进行光照补偿的处理
% 传入的参数image是要进行处理的图片，method有两个值：vertical和horizontal
% 其中vertical是对光源的左右变化进行处理，horizontal是对光源的仰角的变化进行处理
% 返回值image_com是处理好的图片
% image=imread('yaleB01_P00A+120E+00.png');
% image=imresize(image,[100,100]);
load yale-b_... |
% --- Executes during object creation, after setting all properties.
function graph_input_CreateFcn(hObject, eventdata, handles)
% hObject handle to graph_input (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
%... |
% function [inst,t] = gtrack_step(handle, point, mNum, mIndex)
function [t, targetDescr] = gtrack_step(point, mNum, targetDescr, targetIndex)
global trackerProcObj;
trackerProcObj.gtrackHandle.heartBeat = trackerProcObj.gtrackHandle.heartBeat + 1;
if mNum > trackerProcObj.gtrackHandle.maxNu... |
function [x_o,y_o,angle] = PoseCalculation (x,angle,v,theta)
% Position of robot
x_o = x(1)+ v(1);
y_o = x(2)+ v(2);
% orientation of robot
angle = angle+theta; % new angle of robot
|
%% Tobit model - data o postu ziskanych medaily (souhrnny panel)
clear
close all
clc
% Pridani cesty k podpurnym funkcim v adresari Support
% adresar pro vlastni funkce (pokud nejsou ve stejnem adresari jako skript)
addpath('.\Support')
% Nacteni data
% structure array data_olympics, 1610 pozorovani
%... |
%% Test of fct_a
init;
test_mean_nrj = false;
test_val_a = true;
test_grad_sigma = true;
% choice_a = 'spectrum_geo';
% choice_a = 'averaged_lyapunov';
% choice_a = 'kriging';
choice_a = 'var_w';
% type_data = 'klein'
% type_w = 'klein'
type_data = 'toy2';
type_w = 'toy8';
k_c = inf;
% k_c = 1/3;
alpha_adv_back=tru... |
function CCT = computeCCT(taskFilename, masterLogFilename, slaveLogFilenames)
[numTasks, totalNumFlows, numSlaves, slaveIDs] = ...
getSimulationInfo(taskFilename) %;
% --Master log entries: task number, coflowID
% --Slave log entries: slaveID that generated this file (so every entry
% will be the same, san... |
% run beta_thal -0.5 to 2 (by 0.05) against SMA activation
% beta_thal: THALAMUS saturation threshold
clear; clc;
beta_sma = 0.5*(ones(1,6));
beta_str = 0.4*(ones(1,6));
beta_thal = 0.5*(ones(1,6));
alpha_str = 5;
alpha_thal = 6;
beta_thal_var = -0.5:0.05:2;
for cc = 1:length(beta_thal_var)
beta_thal = beta_... |
function result = f_compare_PT(tra_A,tra_B)
% - compare two otolith profile transects
%
% USAGE: result = f_compare(tra_A,tra_B);
%
% tra_A, tra_B = otolith profile transect data created by f_cps2ppm_PT,
% f_extract_PT, or f_interpolate_PT
%
% result = structure of results with the following fields:
% ... |
add_all_paths
clear variables
%% Generate the data for Figure 4.6a
w_range=linspace(0, 200, 2*10^4);
lam=0.7;
d=2;
N=34;
Fbar_collector=cell(2, N);
job_distributions=["Bounded Pareto", "Exponential"];
for i =1:length(job_distributions)
job_distribution=job_distributions(i);
if job_distribution == "Exponenti... |
folder = fullfile('Put the link of folder containing samples');
ADS = audioDatastore(folder);
sname='Sheet1';
startingColumn1='A';
nextRow=1;
% i=1;
filename = 'put name of file to write the extracted features';
while hasdata(ADS)
x = read(ADS);
% [x,fs]=audioread(x);
fprintf('Fraction of files read: ... |
function offsetchange6(handles,offsetaxis,up_down,Dv,isPA)
% Custom callback function for HASgui that increments the offset of
% the transducer up or down by Dx or Dy when pushbuttons are pushed.
%
% Changes:
% 1/26/11 - Changed name to offsetchange5 and call to calcgeom5.
% Added Dv and isPA ... |
% This procedure find transition prob. for the different artificial forests
% under actor-critic and logstic regression
clear
close all
clc
addpath('../utility/')
fog = 6.6;
load('../../data/processed/forest_experi_2.mat','environment')
load('../../data/processed/state_action_prob.mat','tran_prob')
m=environment.par... |
function [ prev_peak ] = previous_peak_heuristic( current_peak, prev_peaks, prev_rl, prev_ru)
% [ prev_peak ] = previous_peak_heuristic( current_peak, prev_peaks, prev_rl, prev_ru)
% Find the previous peak that relates to the current one
% Current peak is scalar
% prev_peaks is vector
% prev_rl is vector (region ... |
function ove_test_1
%{
file_name = 'E:\HTP\FeNiCr\xrd2-Fe-Co-Ni-reduce20170815\FeNiCr-00098-00000_rm.chi'
txt = importdata(file_name);
tmp = txt.data;
tmp = tmp(2:end);
ele_num = numel(tmp);
tmp = reshape(tmp,2,numel(tmp)/2);
%}
w_b = imread('G:\WorkSpaceOfGit\xrdParser\matlab_src\test\w_b.png');
b = imread('G:\WorkSp... |
clc;clear all;close all;
clc;clear; close all;
%load Features_MNIST_SFN;
load LetterData.mat;
X = [B(1:500,:);R(1:250,:);H(1:250,:)]; %Letter
%load('CancerData.mat')
%load WINE_QUALITY.mat
% X=[B(1:100,:);M(1:100,:)]; %CancerData
% %X=[RED(1:500,1:end-1);WHITE(1:500,1:end-1)]; %WineData
MIN=min(X);MAX=m... |
% How to use cellLocations and faceLocations functions to define cell and
% face values, variable in space
% Written by Ali A. Eftekhari
% Last checked: June 2021
% Cell Variable:
m=createMesh2D(30, 20, 5.0, 3.0);
[X, Y, Z]=cellLocations(m);
c=createCellVariable(m, sin(X.value).*cos(Y.value));
figure(1);
visualizeCell... |
% run alpha_str 0 to 10 (by 0.1) against SMA activation
% alpha_str: STRIATUM saturation slope
clear; clc;
beta_sma = 0.5*(ones(1,6)); %default is 0.5
beta_str = 0.4*(ones(1,6)); %default is 0.4
beta_thal = 0.5*(ones(1,6)); %default is 0.5
alpha_str = 5; %default is 5
alpha_thal = 6; %default is 6
alpha_str_v... |
function reducedColorImage = OPTIONAL1_reduce_width(im,cumulativeEnergyMap,xleft,yindex)
reducedColorImage=zeros(size(im,1),size(im,2)-1,3);
verticalSeam = OPTIONAL1_find_optimal_vertical_seam(cumulativeEnergyMap,xleft,yindex);
for a=1 : size(im,1)
for b=1 : verticalSeam(a)-1
reducedCo... |
function beta = calculateBeta(R, pp, xj, n, m, X)
belief = zeros(1, length(xj));
beta = zeros(m, n);
for j = 1:m
for i = 1:n
for k = 1:length(xj)
belief(k) = calculateBelief(X(j, xj(k)+1), pp{k}(R(k, i), :));
end
beta(j, i... |
function Flow = pa_dtfanalysis(fname)
% PA_DTFANALYSIS(FNAME)
%
% Analyze the acoustic recordings, and produce the directional transfer
% funtion.
%
% See also PA_READHRTF, PA_SWEEP2MAG, PA_READCSV
if nargin<1
close all
clear all
% fname = 'SB-PB-2008-02-20-0004.hrtf';
% fname = 'MW-BG-2010-05-06-0... |
function [ kernelReal, kernelImag ] = gaborAnnulusKernel( size, lambda, sigma, radius )
%GABORANNULUSKERNEL Generates two annulus kernels - real and imag
% size - kernel size
% lambda - wavelength (ie. selected f0 from paper = 1/lambda)
% sigma - gaussian deviation (around radius)
% radius - donut r... |
clc; clear all; format compact;
k = 50; % rank of SVD approximation
image = 4; % choose a number 1 to 4 identifying a file name
names = ["dice","cat","piano","street"];
A = imread(names(image)+".jpg");
% A = imread('dice.jpg');
% Display the Orginal Image
A = rgb2gray(A);
figure(1)
imshow(A)
title(sprintf('Original ... |
clear all
clc
n = input('Enter a number to test if it is prime');
f = divisors(n);
j=length(f);
if (j>2)
disp('Its not prime')
else
disp('its prime')
end
|
tic;
%% Original Image
img = load("../data/image_low_frequency_noise.mat").Z;
figure, imagesc(img), colormap('gray'), daspect([1 1 1]), title('Original image'), axis tight;
%% Zero padding
dim = length(img);
pad_img=cat(2,zeros([dim,dim/2]),img, zeros([dim,dim/2]));
pad_img=cat(1,zeros([dim/2,2*dim]),pad_img,zeros([d... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% DIGITAL CODES LIST (0-255) %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% General instructions for codes
% 0-255: standard trial codes
% 256-511: ascii text
% 1000-32000: custom user code range - use these for... |
function [kTraj,MaxRadius] = tyTraj(gHzpercm,dt)
% g in Hz/cm
kTraj = zeros(size(gHzpercm));
kTraj(1,:) = gHzpercm(1,:);
for ii = 2:size(gHzpercm,1)
kTraj(ii,1) = kTraj(ii-1,1) + gHzpercm(ii,1);
kTraj(ii,2) = kTraj(ii-1,2) + gHzpercm(ii,2);
end
kTraj = kTraj*dt; % to convert to 1/cm;
kRadius = hypot(kTraj(:,1... |
function s_cut = cut (s, n, overlap, padlast)
% TODO Doesn't work when length (s) = n !!!
if (nargin < 4)
padlast = 0;
end
if (nargin < 3)
overlap = 0;
end
if (overlap >= n)
s_cut = [];
return;
end
% make s a column
s = s (:);
N = length (s);
if N <= n
s_cut = s;
return;
end
chunk = floor ((N - ... |
% This script demonstrates the use of (two different algorithms of) ICA
% for isolating maternal from foetal cardiac signal
% First the Jade's algorithm is invoked
% and then the FASTICA toolbox is utilized (from command line mode)
% Note: you should add to the path the foetal_ecg_ica_example
clear all, clos... |
function ObjBW_smooth=as_smoothcontour(ObjBW)
[ObjBoundary,~] = bwboundaries(ObjBW,'noholes');
ObjBoundary = ObjBoundary{1}';
ObjBoundary(:, end) = [];
repeatFactor = 3;
ObjBoundaryRepeat = [];
for i=1:repeatFactor
ObjBoundaryRepeat = [ObjBoundaryRepeat ObjBoundary];
end
t... |
function id=getPatternId(pattern,TxOrRx)
if(strcmp(pattern,'AP8'))
if(strcmp(TxOrRx,'Tx'))
id=76;
else
id=33;
end
elseif(strcmp(pattern,'REC-465-5'))
if(strcmp(TxOrRx,'Tx'))
id=602;
else
id=601;
end
... |
% Script modelling ERP
clear; close all; clc;
nip_init();
%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Preproceso / simulacion %
%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Numero de dipolos a considerar
Nd = 4000; % 1000, 2000, 4000, 8000
% Cargar datos(lead field, mesh del cerebro etc...
load(strcat('data/montreal',num2str(Nd),'_full3shell.ma... |
function [ signal_concat ] = concat( signal, nb_spl_in, nb_spl_out )
if( nb_spl_out > nb_spl_in)
disp('error in input arguments');
else
signal_concat = zeros(nb_spl_out, 1);
for i = (nb_spl_in - nb_spl_out):(nb_spl_in - 1)
signal_concat(i - (nb_spl_in - n... |
function mmapAPIGeneralCall
% wait to get data: sbx is slow
pause(5);
% loading fake data
global pixelTc imagingDetail exptDetail
if isempty(pixelTc)
getPixelTcFromSbx
end
% ==================
% any preprocessing to be done on inputs should be done here.
% need to check... |
function [result, acc_matrix, train_acc_matrix] = optimize_hyperparameters(model, X, Y, parameter_ranges, numOfFolds, varargin)
% Optimizes a set of hyperparameters for a given model 'model'
%
% Parameter_ranges must be a struct of parameter names and the set over
% which to optimize. For example:
% parameter_ranges.C... |
function analysis = erroranalyis()
res = csvread( 'res_save_fin.csv');
Opt = res(:, 1);
R = res(:, 2);
M = res(:,3);
measure = res(:, 4);
rf = res(:, 5);
xgb = res(:, 6);
cubist = res(:,7);
for i=5:7
mean_abs_error = mean( abs( res(:,i) - measure)./measure)
max_abs_error = max( abs(res(:,i) - measure)./meas... |
function int_value = Gauss_vol_int_trial_test(coe_fun,Gauss_weight,Gauss_point,vertices,basis_type_trial,basis_index_trial,der_trial,...
basis_type_test,basis_index_test,der_test,t)
int_value = 0;
Gpn = size(Gauss_point,2); %... |
%
% cal_wgts.m
% NOTE1: every ray has a unique wgt
% NOTE2: the sum of the wgts is 1.
%
% Input parameter:
%
% Output parameter:
% weights_result
%
% function weights_result = cal_wgts()
%
function weights_result = cal_wgts()
%
% read the Num_Lgts and str_in from 'input.txt'
%
%fid = fopen('input2', 'r');
Num... |
function area = physicalBorderArea2(borders, edges, seg, scale, isPadded)
% PHYSICALBORDERAREA2
% Calculate the physical border area using the algorithm
% from Moritz Retina paper.
%
% INPUTS borders: Structure array with PixelIdxList field or cell
% array of linear voxe... |
function px_dcm_checkcopy2(ip,op,protocol,Nruns,Nfiles,vector)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% px_checkcopy(ip,op,protocol,Nruns,Nfiles,vector)
%
% ip = 'I:\DataAnalysis\Runing\AnxietyModel\fMRI\DataSortTask';
% op = 'I:\DataAnalysis\Runing\AnxietyModel\fMRI\DataReady';
% protocol = {'A... |
function [t, v] = HW1Q3(delt)
%HW1Q3
%% Initialize Variables and Parameters
g = 9.81; %gravity (m/s^2)
cd = 0.25; %drag coefficient (kg/m)
m = 68.1; %bungee-jumper mass (kg)
t = (0:delt:12)'; %time vector, 0 to 12 seconds, interval of delt
v = nan(size(t)); %initialize velocity variable as NaNs, same size as t... |
function [Sholl STE] = mot_sholl (drawings, labels, opts)
%A DYNAMO ANALYSIS FUNCTION
%All Dynamo analysis functions take two arguments:
% drawing: a Dynamo saved structure containing the fields 'states' and 'traits'
% labels: a structure containing the annotation key used in drawing
% opts: con... |
function [cmbVal, Contrast, Distribution] = SaliencyFilter(colDistM, posDistM, meanPos)
% The core function for Saliency Filter:
% F. Perazzi, P. Krahenbuhl, Y. Pritch, and A. Hornung. Saliency filters:
% Contrast based filtering for salient region detection. In CVPR, 2012.
%
% Note that we didn't implement the l... |
function folder = fgmRoot()
% fgmRoot - Folder containing the GUI MatlabFigureManager
%
% folder = layoutRoot();
%
% The function returns the full path to the folder containing the
% GUI MatlabFigureManager.
% (c) 2018-2019 MIT License
% Created by Stephane Roussel & Olivier Lev... |
%just parses all trackmate results into a shared data structure saved in a
%mat file and used later on
location='D:\core\aditistuff\correctwindowed30_15_withnorm\bksub_manual\';
location='D:\core\aditistuff\FullDataSetFixTest\cropped_aligned\sub\'%
%location='D:\core\aditistuff\correctwindowed30_15_withnorm_med... |
%=========================================================================%
% OMCal.m Module of MOVESTAR %
% %
% Script for calculating the operating mode of a vehicle. %
% ... |
function [ reverseStr ] = printToCmd( reverseStr,message )
message = strrep(message,'%','%%');
message = strrep(message,'\','\\');
fprintf([reverseStr, message]);
%find extra chars
%nof_extra = length(strfind(message,'%%'));
%nof_extra = nof_extra + length(strfind(message,'\\'));
%nof_... |
clear
close all
clc
load('data.mat')
if 0 % fake parameters
para1 = [0,-2];
papa2 = [0,-2];
end
addpath('..\matlab\Scripts_m\fun_MHSampling\')
addpath('..\matlab\Scripts_m\ex_PMCMC\')
%% note
% the problem is not identifiable
% because the prior and the likelihood are both semetric
% All the codes seems to be ... |
%Comunicações Digitais - Simulação 1
%
%
%
%Alunos:
%
%
%
%Gera a sequência de 100000 + 2 bits aleatórios:
bits = randi([0, 1], 1,1E5 + 2);
Es = 1; % energia do círculo interior
Es2 = (1 + sqrt(3))^2*Es/2; % energia círculo exterior
M = 4; % quantidade de sím... |
%test_WKS
%
%
% Copyright (c) 2013 Junjie Cao
clc;clear all;close all;
addpath(genpath('../../'));
%% Load mesh
M.filename = 'wolf0.off';
[M.verts,M.faces] = read_mesh(M.filename);
M.nverts = size(M.verts,1);
%% Laplacian eigen
nbasis = 100;
withAreaNormalization = true;
adjustL = false;
[M.eigvector,... |
function [statExist] = checkFeatStats(boldDir,featName)
% Checks for the existence of a 'zstat1.nii.gz' file in the stats
% directory, to serve as confirmation feat ran correctly
%
% Usage:
% [statExist] = checkFeatStats(boldDir,featName);
%
% Output:
% statExist = 1 if exist, 0 if not
%
% Written by Andrew ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2012 Analog Devices, Inc.
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in compliance with the License.
% You may obtain a copy of the License at
%
% http:/... |
function varargout = rescal2(varargin)
% RESCAL2 M-file for rescal2.fig
% RESCAL2, by itself, creates a new RESCAL2 or raises the existing
% singleton*.
%
% H = RESCAL2 returns the handle to a new RESCAL2 or the handle to
% the existing singleton*.
%
% RESCAL2('CALLBACK',hObject,eventDa... |
function np_cal
% This program is for the arithmetic searching
% and the calculation task
clear all;
% set course --------------------------------
fixTable = 1;
setTrials = 1;
%---------------------------------------------
if fixTable == 1 % this section is the base
% variable help----------------------... |
%@(#) bucatch.m 1.4 03/10/09 08:41:27
%
%function j=bucatch(buid,BUIDNT)
%
function j=bucatch(buid,BUIDNT)
[iB,jB]=size(BUIDNT);
[iB1,jB1]=size(buid);
if jB~=jB1,
error('Length of both strings must be the same');
end
jj=((jB*2-2):-2:0)';
jj=10.^jj;
x=abs(BUIDNT)*jj;
x1=abs(buid)*jj;
j=find(x==x1);
|
function [o1,o2] = plnr( i1, i2 )
% plnr compose/decompose planar-vector coordinate transform.
% X=plnr(theta,r) and [theta,r]=plnr(X) compose a planar-vector coordinate
% transform X from its component parts theta and r, and decompose it into
% those parts, respectively. theta is a scalar and r is a 2D vector. r... |
% This script tests the functionality of the TriangleDisparity class using
% real images taken using a color-coded aperture camera
% Author: Timothy Setterfield (Timothy.P.Setterfield@jpl.nasa.gov)
% Read the original image file
imFileName = '../data/blocks-glass50-09.26.2018/Dalsa-18.jpg';
% imFileName = '../da... |
function data_out = AMPX_remap_sites(data, ExpKeys)
%% AMPX_map: rempas the data channels to match the probe layout specified
% in the Expkeys.
%
% Inputs:
% - data: [struct] format (AMPX, FT, TSD) will be autodetected
% - ExpKeys: [struct] contains the mapping
%
% Outputs:
% - data_out: [struct] in the same fo... |
function diff = find_emitter_eField(rho0, Ecrit, p,e,t, geometry, constants, plot_debug)
%solve the problem using the guessed rho0
results = get_results_using_rho(rho0, p,e,t, geometry, constants, plot_debug);
diff = results.Ee - Ecrit;
disp('diff')
disp(diff)
disp(' ')
|
% University of Isfahan, Isfahan, Iran
% Computer engineering faculty
% Author: Seyyed Naser Seyyed Hashemi
% n.s.hashemi@eng.ui.ac.ir
% naser_seyed_hashemi@yahoo.com
%
% The network topology was implemented in the code below.
% each node structure:
% {
% ... |
%% Linear wire example
% Created by: Lee A. Harrison
% On: 8/5/2018
%
% 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 House.
clear, clc
% The operating fr... |
%| Itinerary estimation using Automated Fare Collection and train operation timetable data for metro passengers.
%| Published by ³ÂÐÀ (Xin Chen) from (Southwest Jiaotong University School of transportation and logistics)
%| and (Transport Division of Technical University of Denmark).
%| This code is a pa... |
function cluster_ISODATA_consolidation(img)
% disp('consolidation');
global theC z w Nc L;
D = zeros(Nc, Nc);
IX = [];
for i = 1:Nc-1
for j = (i+1):Nc
D(i,j) = norm(double(z(i,:)-z(j,:)));
% disp(['D(' num2str(i) ',' num2str(j) ')= ' num2str(D(i,j))]);
if D(i,j) < theC
te... |
% The robot will drop down to the ground and keep balance
function dropAndBalance(ini_cond)
global yout tout t_end
impFuncs = impactMapping;
dySys = dynaSys;
% Setting up the initial conditions
tout = 0;
yout = ini_cond.';
% Robot falling down
ode_opt = odeset('Events', @eventRearTouchG... |
function [edge_mag, edge_dir] = pyramid_ed_cvip( input_image )
% PYRAMID_ED_CVIP - perform a pyramid edge detection.
%
% Syntax :
% ------
% [edge_mag, edge_dir] = pyramid_ed_cvip( input_image )
%
% Input Parameter include:
% -----------------------
% 'input_image' Input image can be gray image or rgb i... |
%Minjun Park, CAAM 210, 11/23/15
%
%Description: shows how each gene interact with each other with given
%probabilities.
%Structure: pbndriver, ruletree, genestm, d2b, b2d
%
%USAGE: assign wires, rules, probability.
%
function pbndriver
wire = [4 2 4;5 3 2;3 6 1;5 4 6;6 1 2;3 5 6]; %represents genes
rule = {[231 230]... |
function [varargout] = NV_Finder(im,NVsize)
sensitivity = 2; %number of STD's above the noise
scaley = (size(im.image,1)-1)/diff(im.ROI(2,:));
scalex = (size(im.image,2)-1)/diff(im.ROI(1,:));
NVsize = scaley*NVsize;
lp = NVsize/2*0.5; % Wants sigma (NVsize was originaly a diameter)
hp = NVsize/2*1.5;
% Assume im is th... |
function Estimator = Estimator_LPF(agent)
%% estimator class demo
% estimator property をEstimator classのインスタンス配列として定義
qnum=agent.model.state.num_list(contains(agent.model.state.list,["q"]));
Eparam = struct('LPF_T',0.05,'list',["p","q"],'num_list',[3 qnum]);
Estimator.type = "LPF";
Estimator.name = "lpf";
Estima... |
function [u_hat,fval,exitflag,output] = CPG6_optimize(u_hat)
% OPTIMIZE PARAMETERS OF THE OSCILLATOR TO FIT THOSE OF HALBERTSMA 1983
% [u_hat,fval,exitflag,output] = CPG6_optimize
%
% INPUT
% Run in report mode when input parameters are present
% u_hat - osc. parameters to display
% OUTPUT
% u_hat - weights of the o... |
%ELIIPSOID Plots the upper half of a parametric ellipsoid of rotation
% Figure 13.10.For explanations see Subsection 13.26 in the book.
% define axes
a = 5;
b = 3;
c = 2;
% plot the boundary of the patch and define frame
w = 0: 0.01: 1;
x = a*cos(2*pi*w);
y = b*sin(2*pi*w);
z = zeros(size(x));
plot3(x, ... |
function vary_Error_Tolerances_To_Compare()
% Plot number of iterations versus error tolerance for both the golden
% search and successive parabolic interpolation algorithms, for
% several different tolerances over many orders of magnitude.
%
% This script calls the scripts "golden_Search" and
... |
classdef ControlChartChangeDetector < modular.cd.AbstractChangeDetector
%CONTROLCHARTCHANGEDETECTOR Summary of this class goes here
% Detailed explanation goes here
properties
deviations = 2;
end
methods
function obj = ControlChartChangeDetector(window_... |
classdef (Abstract) SA < MLSimulator.Modules.Module
%SA 可饱和吸收体类
properties
end
methods
end
end
|
function MI = mutualinformation(J,K)
%takes two images of equal size and pixel value ranges and returns the
%joint histogram, joint entropy, and mutual information. No error checking
%used, as this function is built for speed. For additional speed,
%instructions on how to remove what you do not need are in the comments... |
% function rsi = getrsi(mopen,mclose,period)
function rsi = getrsi(mopen,mclose,period)
rsi = zeros(size(mopen));
for i=period+1:length(mopen)
meangain = 0;
meanloss = 0;
for j=i-period:i
pricediff = mclose(j)-mopen(j);
if pricediff>0
meangain = meangain + pr... |
function param = GNN(obj,param)
% Determining observations within the validation region
%【Input】 obj : object of EKF
% param : Structure of EKF
%【Output】param : Structure of EKF
% Feature point prediction of estimated object
param.Mhatbar = cell2mat(arrayfun... |
load('data.mat');
p = precision(predicted, gt)
disp("Correct answer: " + 0.8860);
|
load q2_data
%display(q2x_train);
alpha = 0.0005;
n = length(q2x_train);
phi = [ones(n, 1), q2x_train];
w = [0.327059967177088,-0.944377806404219;1.08263350423676,-1.32178852139256;1.00607711081905,0.924825933493706;-0.650907736597753,4.98490752508133e-05;0.257056157433969,-0.0549189146094067];
classification = zeros(... |
//
// Moon.m
// MoonHerder
//
// Created by Roger Engelbert on 10/9/12.
// Copyright Done With Computers 2012. All rights reserved.
//
#import "Moon.h"
// Moon implementation
@implementation Moon
@synthesize blinking = _blinking, off = _off;
- (void) dealloc {
[super dealloc];
}
-(id) initWithGame:(Game *) ... |
% ============================================
% Author: Alex Chen
% email: alextpf@gmail.com
% 2014
% ============================================
clear all;
close all;
clc;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Program parameters
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
HAND_DRAW = false; % true: ha... |
function out = deloutlier(in,param)
% 删除数据的离群点
% in: 单列数据
% param: 删除几倍sigma外的数据
% out
while 1
rowrow = find(abs(in-mean(in))>std(in)*param);
if ~isempty(rowrow)
in(rowrow,:)=[];
else
out = in; break;
end
end
|
function XtY = randTransMat(nx,ny)
% random transition matrix X to Y, size [nx,ny]
XtY = rand(nx,ny);
pX = sum(XtY,2);
XtY = XtY./pX(:,ones(1,ny)); |
% logftS.m 7/01 file to run logft calculation
% EX with defaults:
% [cqtrans, tt, freqs, kerncos, kernsin] = logftS(vsc11);
%
% EX inputting all values (same as defaults here)
% [cqtrans, tt, freqs, kerncos, kernsin] = ...
% logftS(vsc11, 'SR', 11025, 'minfreq', 174.6141,'freqrat', 1.0293, 'maxfreq... |
function [P,obj,err,iter,Q] = SSGLPCA(L,D,lambda,k,opts)% lambda is alpha
%
tol = 1e-4;
max_iter = 500;
rho = 1.05;
mu = 1e-4;
max_mu = 1e10;
DEBUG = 0;
if ~exist('opts', 'var')
opts = [];
end
if isfield(opts, 'tol'); tol = opts.tol; end
if isfield(opts, 'max_iter'); max_iter = opt... |
function [pass,maxerr] = test(opt)
% Check error control of dipolarsignal() towards wrong inputs
N = 100;
t = linspace(0,3,N);
r = time2dist(t);
P = dd_gauss(r,[4,0.4]);
% Pass 1: not enough input arguments
try
V = dipolarsignal(t);
pass(1) = false;
catch
pass(1) = true;
end
% Pass 2: negative modulatio... |
function [ TrialInfo, SubjectParams ] = GetVitals( vicon, FD, S )
% Gets a bunch of little things that could be important and organizes them
% into a structure.
% If you are adding to this structure, ensure that is full of things that
% each subject will have.
% Set all values to NaN or 0 in case something goes ... |
function [best str] = courseCritique(fn, threshold)
[num text raw] = xlsread(fn);
psc = find(num>=threshold);
if ~isempty(psc)
pass = num(psc);
[topgpa ndx] = max(num);
rawtop = text{ndx+1};
best = sprintf('Professor: %s', rawtop);
for i = 1:length(psc)
... |
%-----------------------------------------------------------------------
% This is the code for the following paper:
%
% Q. He, W. Zhang, P. Lu and J. Liu
% Performance comparison of representative model-based fault
% reconstruction algorithms for aircraft sensor fault detection
% and diagnosis.
%
%... |
fs = 40000;
t = -10:1/fs:10;
p = (1/(1 *sqrt(2*pi)))*exp(-t.^2/2);
stem(t,p) |
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