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%%
%clc;
%clear all;
%Serial = serial('COM4');
Serial = serial('/dev/ttyUSB0');
set(Serial,'Terminator','CR/LF');
set(Serial,'BaudRate',115200);
set(Serial,'DataBits',8);
% set(Serial,'Parity','none');
set(Serial,'StopBits',1);
% set(Serial,'FlowControl','none');
fopen(Serial);
blocking = 0;
moving = 0;
%%
%sudo ln -... |
% CustomFactors holds custom solver factor creation associations
% for those solvers that allow it through an appropriate 'customFactors'
% option.
%
% Custom factors must be implemented as a Java subtype of the appropriate
% solver class and/or interface for that type of solver.
%
% For example, if you have implemente... |
classdef AbstractSolver < ether.optim.Solver
%ABSTRACTSOLVER Summary of this class goes here
% Detailed explanation goes here
properties(Constant,Access=private)
logger = ether.log4m.Logger.getLogger('ether.optim.AbstractSolver');
end
methods
%--------------------------------------------------------------... |
function plot_phasediagram()
% plot_phasediagram
%
% Plot all the phasediagrams contained in the *.mat files in this folder.
%
% Developed by GeoModelling Solutions GmbH
%
% Original author: Dani Schmid
% Last committed: $Revision: 0 $
% Last changed by: $Author: karthik $
% Last changed date: $Dat... |
function [bestnfac,bestper,allper] = loo_npls(X,Y,nfactors)
%% Parameters
bestper = 0;
bestnfac = [];
allper =[];
Xdim = size(X);
Ydim = size(Y);
Nf = 5;
%% unfold pls
YP = cell(nfactors,1);
indices = crossvalind('Kfold', Xdim(1), Nf);
for i = 1:Nf
test = (indices == i); train = ~test;
[Xfactors,Y... |
function school_by_year_show(saveFigures, setNo)
% Show stats for schooling by year
% ---------------------------------------
cS = const_cpsearn(setNo);
ny = length(cS.yearV);
% Stats: school by year for a particular age range
[avgSchoolV, fracM] = aggr_cpsearn.school_by_year(setNo);
output_cpsearn.fig_new(saveFigur... |
clear variables; clc;
load('data.mat');
global mu
mu = 398600e+9; %gravitational constant
%%
%orbital elemets
%%
global orbit_vec
orbit_vec.Re = 6371*1000; %earth radius
orbit_vec.h = 400*1000; %height above sea level
orbit_vec.sma = orbit_vec.h+orbit_vec.Re; %semimajor axis
orbit_v... |
function [fullP, fullMeanDemands, curProcID, visited, currentClass, classMatch,SEFFcalls_proc,SEFFcalls_act,SEFF,numActs] = ...
readXML_CMCQNCS_addEntriesP_SEFF(...
actGraph, processors, tasks, entries, actCalls, actProcs, K,...
... |
function varargout = fluidforces(varargin)
% F = fluidforces(t,freq, swimvecx,swimvecy, xm,ym,fxmtot,fymtot, xl,yl,fxltot,fyltot, ...
% xr,yr,fxrtot,fyrtot)
% or
% [Flateralt,Flateraln,Faxialt,Faxialn] = fluidforces(...)
%
% Options:
% 'nregions' - Number of regions along the body in which force will be
% int... |
clear all; close all;
load('parameters.mat');
addpath(code_path);
%---input---
idiag = 1212;
zdiag = 5;
font_size = 15;
fig_position = [50, 50, 1200, 500];
l_max = 30;
m_max = 20;
%-----------
build_grid_2d;
data_file = fullfile('data', ['dat', sprintf('%4.4d', idiag)]);
load(data_file);
phi_before = Tref * squee... |
% Door gambling task - Cue Splitting 09/01/2018
% matching trial count across regolar or special conditions
% EEG = pop_select(EEG, 'trial', randsample(1:size(EEG.data,3), numTrials))
% all 26 subjects (including low redoers) - to correlate type effect vs redo rate
clc
clear
p... |
% This script design the perameters for flume experiments.
clc
clear all
% The plate is fixed which amounted to the wave flume.
% Different water depth means different submergence.
DOCK_LENGTH = 1.00;
DOCK_ANGLES = 0;
DOCK_SUBMER = [-0.10 -0.05 0.00 0.05 0.10];
% PL is for Plate Length.
% PI is for Plate Inclination... |
function [energyMatrix] = computeEnergy(height, width, matrix)
energyMatrix = zeros(height, width);
for i = 1:height
for j = 1:width
energyMatrix(i, j) = matrix(i, j);
if i ~= 1
if j == 1
if energyMatrix(i-1, j) < energyMatrix(i-1, j+1)
energ... |
function Model = AdaptiveHistogramTrain(X,options)
%function Model = AdaptiveHistogram(X,options);
%
% given N, D-dimensional samples X, size(X) == [D,N] :
% for each dimension d, select a set of k - 1 thresholds such that the points
% of X projected into d fall into the k bins in approximately the same number ea... |
function K = rbf_kernel(X, Y, gamma)
% Compute the rbf (Gaussian) kernel between X and Y:
%
% K(x, y) = exp(-gamma * (x-y).^2)
%
% for each pair of rows x in X and y in Y.
%
% Inputs:
% - X: Shape: n_samples_X * n_features.
% - Y: Shape: n_samples_Y * n_features.
% - gamma: Kernel parameter. Defaults to 1/n_features. E... |
function spc_makeRoiA(i)
global spc
global gui
i=i+1;
figure(gui.spc.figure.project);
waitforbuttonpress;
figure(gcf);
point1 = get(gca,'CurrentPoint'); % button down detected
finalRect = rbbox; % return figure units
point2 = get(gca,'CurrentPoint'); % button up detected
point1 = point1(1,1:2... |
function P2=makestimAREVCOR(P)
% MakestimARevcor - stimulus generator for ARevcor stimGUI
% P=MakestimARevcor(P), where P is returned by GUIval, generates the stimulus
% specified in P. MakestimARevcor is typically called by StimGuiAction when
% the user pushes the Check, Play or PlayRec button.
% MakestimA... |
% SamplingDataTrainPCA.m
% 2015/10/20
% ランダムにサンプリングしたデータ(DataSampling)に
% trainPCAをかける
clear all;
clc;
tic;
sample = 200;
half = sample / 2;
num_om = half;
num_hm = half;
% データの読み込み
FileName = 'SamplingData/%d/samplingdata_%d_%d.xls';
IndexSize = 5621;
dim = 3;
SampleData = zeros(sample,IndexSize*3);
for cnt = 1... |
% script to plot rejection results
tolerance2 = csvread('mhn10000t2');
tolerance5 = csvread('mhn10000t5');
tolerance7 = csvread('mhn10000t7');
tolerance10 = csvread('mhn10000t10');
colors = brewermap(4,'set1');
tolerances = {'\epsilon = 2.5','\epsilon = 5.0','\epsilon = 7.5','\epsilon = 10.0'};
ar = {'AR = 0.2%','AR ... |
function [vel_p] = chi_generate_vel_pitot(basedir)
%% [vel_p] = chi_generate_vel_piitot(basedir)
%
% This function generates an input file for chi-processing vel_p.mat
% directory input
%
% Input
% basedir : unit base directory
%
% Output
% vel_p.time : tim... |
function out = mloads(jstr, varargin)
% out = mdumps(obj, ['compress'])
% function that takes a matlab object (cell array, struct, vector) and converts it into json.
% It also creates a "sister" json object that describes the type and dimension of the "leaf" elements.
if isempty(jstr)
out = {};
... |
clear all
hold off
t = load("../../../Tree.m");
s = t(:,1);
n = t(:,2:7);
border = 0.4;
minVal = min(min(n))- border;
maxVal = max(max(n))+ border;
camup([0 1 0])
grid on
pbaspect([1 1 1])
rotate3d on
axis([minVal, maxVal, minVal, maxVal, minVal, maxVal])
xlabel('X')
ylabel('Y')
zlabel('Z')
hold on
len = size(t,1... |
function [lsRedShock, lsRedParam] = chkredundant(this, varargin)
% chkredundant Check for redundant shocks and/or parameters.
%
%
% Syntax
% =======
%
% [redShocks, redParams] = chkredundant(m)
%
%
% Input arguments
% ================
%
% * `m` [ model ] - Model object.
%
%
% Output arguments
% =================
%... |
% created by wykys 2016
function [ str_hod ] = stredni_hod_fce( matice )
% funkce spočítá střední hodnotu, jako vstup jí slouží výstupní matice z
% funkce matice_dat
str_hod = sum( matice(:,1) .* matice(:,2) );
end
|
%% Define Red Pitaya as TCP/IP object
IP= ''; % Input IP of your Red Pitaya...
port = 5000;
tcpipObj=tcpip(IP, port);
%% Open connection with your Red Pitaya
fopen(tcpipObj);
tcpipObj.Terminator = 'CR/LF';
fprintf(tcpipObj,'SPI:INIT:DEV "/dev/spidev1.0"');
fprintf(tcpipObj,'SPI:SET:DEF'); % set ... |
function unsteadyP1(Nh, Nd)
% import time-step
global t;
% import all the necessary functions of the variational problem
global coefficient_functions;
% import geometric entities of the domain
global triangles;
global nodes;
% initialise the linear system
global M;
M = zeros... |
% Set params of the detection
cameras = {17, 18, 19, 40, 50, 53, 54, 56, 57, 58, 59, 60};
homography_directory = '~/mct-bqp/data/hda/homographies';
hdaRootDirectory = '/media/pedro/mct/HDA_Dataset_V1.3';
num_cams = length(cameras);
detections = cell(num_cams,1);
detections_ocl = cell(num_cams,1); % NOTE We have all occ... |
function [newcoor, newsymbol, newcharge, newtypes, newbound, newPair] = resortXYZ(coor, symbol, charge, types, bound, Pair, first, radii);
%This function is to resort the atoms according to the neighbor list
%The atoms are located based on the sequence in the neighbor list.
%INPUT:
%coor (N*3) -- atomic coordinate;
%r... |
%
p0=load('PCC-Point0-des.dat');
p1=load('PCC-Point1-des.dat');
p2=load('PCC-Point2-des.dat');
N=50;
t=[0:N-1];
nss=8;
hp1=plot(t,p0(1:N),'-<',t,p1(1:N),'-o',t,p2(1:N),'-s',2.8284*ones(1,nss),linspace(0,1,nss),'--.');
grid
%grid minor
hl1=legend('Analysis region 0','Analysis region 1','Analysis region 2','Measure er... |
function [ d1, d2 ] = convert_zone_to_trials( data,varargin )
% CONVERT_ZONE_TO_TRIALS shuggles data matrix such that all all
% combinations of recordings are paired with each other as a trial, e.g.
% Sps you have 4 recordings, a,b,c,d to compute coherence between whole
% group, find all 4 choose 2 combinations of a-d... |
function [chk, wa, wb, wc] = get_weights(x, y, x1, y1, x2, y2, x3, y3)
% Checks whether (x, y) are in the triangle based on the 3 vertices 1,
% 2, and 3, and returns the linear combination weight as wa, wb, and wc.
x1 = repmat(x1, size(x,1), size(x,2));
y1 = repmat(y1, size(x,1), size(x,2));
x2 = repmat(x2,... |
clc
clear all
I1 = (imread('/Users/INNOCENTBOY/Downloads/videos/Imageprocessing/week4/motion1.jpg'));
bpp=class(I1);
I1= double(I1);
%% Negative Image
I2 = 255-I1;
%% Logarithmic
c = 1;
I3 = c*log(I1+1);
%% Power Law
c1= 1;
Lamda = 0.5;
I4 = c1*(I1.^Lamda);
Lamda = 1/Lamda;
I5 = c1*(I4.^Lamda);
%% Contrast stretchi... |
function loopThroughFigs(list)
if (nargin < 1) || isempty(list)
list = sort( get(0, 'children')' );
end
currentFigs = get(0, 'children');
tf_validFigs = ismember(list, currentFigs);
list( not(tf_validFigs) ) = [];
cnt = 0;
try
while not(isempty(list))
cnt = cnt + 1;... |
function [ status ] = readData( fEvt,fSta,fPhase,fVel,origLat,origLon )
run('globalVar.m');
[X0,Y0,F0] = ll2utm(origLat,origLon);
vel = load(fVel);
velMod = vel(:,1);
velMods = velMod/1.73;
depthMod = vel(:,2);
evtData = load(fEvt);
evtID = evtData(:,14);
evtLat = evtData(:,7);
evtLon = evtData(:,8);
evtDep = evtDat... |
% Author: Ratana Lim
% Created date: 25/04/2018
function x=limitchk(x,up,low,nbus,loadbusLocation)
for ii=1:numel(x)
if x(ii)<low
x(ii)=low;
elseif x(ii)>up
x(ii)=up;
end
end
%% volateg constraint check
% busdata = busdatas(nbus); % load the bus data
% linedata=linedatas(nbus); % load the line data
% %... |
close all; clear all; clc;
% load('LinearSeparable.mat','X','Y'); %X: D*N; Y: 1*N
load('NonLinearSeparable.mat','X','Y'); %X: D*N; Y: 1*N
%generate data
% N = length(Y); %number of samples
% D = length(X(:,1)); %dimension of features
[D,N] = size(X);
% %find the positive and negative data
% posIdx = find(Y==1)... |
f =@(x) (x.^2-1+exp(-x));
x = 0.5:0.2:1;
y = f(x);
hold on;
plot(x, y);
%Algoritmo per il metodo di Bisezione
a = 0.5;
b = 1;
toll = 1e-8;
fa = f(a);
n = -1;
n_max = 100;
amp = toll+1;
while amp >= toll && n < n_max
n = n+1;
amp = abs(b-a)
c = a + (amp/2);
fc = f(c);
if fc*fa <... |
function cmd_out = force_mode_tcp(obj,varargin)
%% enable force mode
% varargin = tare_trigger,DoF,wrench,cmd
% arg1: tare_trigger: 1-zero the sensor before start 0-don't zero the sensor before start
% arg2: DoF: 6-by-1 boolean vector, 1-compliant dof, 0-rigid dof
% arg3: wrench: 6-by-1 force/torque vector t... |
function [] = accuracy(n)
equips = ["psv","acmilan","liverpool","chelsea","barcelona","madrid","juventus","none"];
[x,y] = size(equips);
CONF = zeros(y,y);
for equip = equips(1:end-1)
N=size(dir([char(equip) '/*.jpg']),1);
images = randperm(N,n);
id_equip = getIds(equips,equip);... |
function [XC, Exc] = eval_Xalpha_XC_with_phi(natom, nbf, phi, ipw, D)
% Evaluate XC matrix using Xalpha functional and phi
% Input parameters:
% nbf : Total number of basis functions
% phi : Values of basis function at integral points
% ipw : Integral point weights
% D : Density matrix
% Output parameter:
% ... |
%选择操作函数
%输入：
%Chrom 种群
%FitnV 适应度值
%GGAP 选择概率
%输出：
%SelCh 被选择的个体
function SelCh=Select(Chrom,FitnV,GGAP)
NIND=size(Chrom,1);
NSel=max(floor(NIND*GGAP+.5),2);
ChrIx=Sus(FitnV,NSel);
SelCh=Chrom(ChrIx,:); |
clear all;
clc % Clearing Matlab desktop
vid=videoinput('winvideo',1,'YUY2_640x480'); % Defining the video input object
%set(vid,'FramesPerTrigger',1); % Setting frames per trigger
% preview(vid); %////// Showing the video of the moving Ball(TO BE USED %
% WHILE TESTING)
% pause(10);% Waiting for a certain time for t... |
function [cdata] = coarser(olat,olon,odata,clat,clon)
% COARSER Interpolation of model data onto coarser resolution
% function [cdata] = coarser(olat,olon,odata,clat,clon)
% where olat/olon are the finer original resolution lats/lons,
% odata is the original data [lat,lon,time], and clat/clon are
% ... |
%% Focal fields - TEM00 Gaussian Mode
% This script calculates the field of a TEM00 Gaussian Mode in the focus of
% a microscope objective with a given NA. The formula used here was
% taken from "Novotny, L. and Hecht, B. (2006); Principles of Nano-Optics".
%
% © Jens Brauer, 2016
%% Constants
lambda = 800; % Wa... |
function operation_button_payoffinfo(hObject, eventdata, handles)
% 子界面的作图画Payoff
% 吴云峰 20170331
global OPTSTRUCTURE_INSTANCE;
global QMS_INSTANCE;
opt_entrustinfo_ = get(handles.asset.table_optopensel, 'Data');
% 更新数据
curr_biaodi_px = nan;
portfolio_T_idx = [];
portfolio_K_idx = [];
portf... |
function eye = quick_correlation(eye, filterOn, filterOff, amplitudeScale, slidingWindowWidth, corrBufferScale)
% apply sliding window on eventstream and store correlation results in
% substructure
allTimestamps = eye.ts;
allActivityOn = eye.activityOn;
allActivityOff = eye.activityOff;
len = length(allTimestamps);
ey... |
function [x y]=fRK4b(n,a,b,x,y)
f=@(x,y)exp(-x)-x.*exp(-x); %Figura 9.4 (a) (b)
h=(b-a)/n; % espacamento em x
for k=1:n
K1f=f(x(k), y(k) );
K2f=f(x(k)+0.5*h,y(k)+0.5*h*K1f);
K3f=f(x(k)+0.5*h,y(k)+0.5*h*K2f);
K4f=f(x(k)+h, y(k)+ h*K3f);
x(k+1)=x(k)+h;
y(k+1)=y(k)+... |
clc
filepath = '/mnt/NetDisks/Xinyi_Server/A-PET/experimental data/03-15-2020 point_source_3d/4x4x4';
filepath = 'D:\APET_DATA\03-15-2020 point_source_3d\4x4x4';
filepath = '/media/xinyi/LABDESK_2TB/APET/APET_DATA/';
filepath = '/media/xinyi/LABDESK_2TB/APET/APET_DATA/02-19-2020 ultramicro phantom/ultramicro_high_activ... |
function tick2text(varargin)
%TICK2TEXT Changes tick labels to text objects
%
% tick2text
% tick2text(ax)
% tick2text(ax, param1, val1, ...)
%
% This function creates text objects that mimic x, y, and z tick labels,
% while the original tick labels are removed. The text object format
% allows more modification (such a... |
function [ projDist_dir, projDist_pos ] = projectionDistance( P, dataType, options )
%function [ projDist_dir, projDist_pos ] = projectionDistance( xA, mask, options )
% determines the distance between projections in high D space
fracVar2capture = .95;
%% parse options struct
if ~isempty(options) && isfield(options, '... |
function [s, id] = get_scores_from_file
%
% loads score matrix and plots info
%
s = load('scorematrix.txt', '-ascii');
id = load('id.txt', '-ascii');
% [np, nt] = size(s);
% nid = max(id);
% entries = (1:np);
%
% fprintf('Size of score matrix: %u x %u\n', np, ... |
classdef NetworkAether < hgsetget
%NETWORKAETHER A virtual space that connects neurons and transmits signals between them.
%
% This object acts as a virtual "wiring" that connects neurons to one another, performing functions similar to an
% axon. On its own, a single aether object connects only two... |
function [centre radius] = calc_circle(pt1, pt2, pt3)
delta_a = pt2 - pt1;
delta_b = pt3 - pt2;
ax_is_0 = abs(delta_a(1)) <= 0.000000001;
bx_is_0 = abs(delta_b(1)) <= 0.000000001;
% check whether both lines are vertical - collinear
if (ax_is_0 && bx_is_0)
centre = [0 0];
radius = -1;
return
... |
function Points = EllipticCurvePointsModp3Mod4(a, b, p)
% Points = EllipticCurvePointsModp3Mod4(a, b, p)
% Input: Two integers a, b, and a prime p > 3. It is assumed that 4a^3 +
% 27b^2 is nonzero, so that the associated elliptic curve
% y^2 = x^3 + ax + b
%is nonsingular.
% Output: Points, a 2 column vector... |
%-----------------------------Script for brain tumor segmentation--------------------%
close all
clear all
%datadir = '../experiments/data/Brain_tumor'
datadir = '/home/haltair/Research/vision/experiments/data/Brain_tumor';
%resultsdir = '../experiments/results/Brain_tumor'
resultsdir = '../results/bts';
ERR = 10^... |
% calculate vortex motion until mean power stabilizes
function PP = vort_stable(N, w, mu, BH, BD)
PPo=-1;
Phi0=0;
j=0;
while(1)
j=j+1;
[Phi, P] = vort_period(N, w, mu, BH, BD, Phi0);
Phi0=Phi(end);
PP=mean(P);
if (abs(PP-PPo)/PP<1e-5) break; end
PPo=PP;
if j>=100
printf('Warnin... |
function runData = extract_signal_runs(folderName,loadStateCodeStr,params_loading,Data_inspection)
%EXTRACT_RUNS
global verbose
% File Processing
subSessionFolders = dir([folderName filesep '*.gdf']);
nFile = numel(subSessionFolders);
if nargin == 3
Data_inspection = false;
end
%% Extract signal from runs
j = ... |
function stats = glm(y,factor,model,iscateg,facnames,varnames)
% function P = glm(y,factor,model,[iscateg,facnames,varnames])
%
% General linear model. Performs AN(C)OVA/MAN(C)OVA calculations. This is
% a general regression model to determine the effect on y of the independent
% variables in factor. They may be ca... |
function [X,L] = FastSolver(y,A,alpha,a1,a2)
global_max_iter=100; lasso_max_iter=100;
% Initialization and setting
M=size(y,1); N=size(A,2);
X=zeros(N,1); L=zeros(M,1); Z=ones(M,1);
AT=A'; ATA =AT*A;
tau=eigs(ATA,1); tauInv =1/tau;
beta=(20*M)/sum(sum(abs(y))); % betaInv=1./beta ; % betaTauInv=betaInv*tauInv;... |
clear; close all; clc;
%% Read files
X = dlmread('features.txt');
Y = dlmread('targets.txt');
V = dlmread('unknown.txt');
|
%Initial version of a trading tool based in genetic neural network.
%% Parameter of the account
% broker
broker = 'xtb';
% initial deposit
initial_deposit = 5000;
% comision per lot
comision_vol = 0;
%% Parameters for the forex currency
% symbol
symbol = 'EURUSD';
% value of a lot
lot_value = 100000;
% minimun lot
mi... |
function numvect = EDB2extrnums(Str,delim)
% EDB2extrnums - Extracts the numerical values in a text-string, separated by a given delimiter.
% Periods (.) are interpreted as decimal points.
%
% Input parameters:
% Str Text string, [nchars,1].
% delim The delimiter to look for, e.g., comma, space, slas... |
function earthplot3D(earthmap, t, r, re, El, e, a, ECI, color)
load('earth_constants.mat');
n_sat = length(ECI);
set(gcf,'Menubar','default','Name','Orbit Visualization', ...
'NumberTitle','off','Position',[70,10,750,750]);
lim=(1+e)*a;%Setting the limits of the graph
clf
axis([-... |
function train_matrix=train_ChainCode ()
my=dir('C:\Users\HP WIN 8\Desktop\FCI4 term 2\Pattern\Assignment\Pattern Recognition Data Set (0-9)\*.bmp');
s1='C:\Users\HP WIN 8\Desktop\FCI4 term 2\Pattern\Assignment\Pattern Recognition Data Set (0-9)\';
train_matrix=cell(10 ,10);
nfiles=length(my);
trained=[ ];
... |
%% Prep_MainPara Module
% * VAR parameter contains parameter for model setup and results.
% * Bootstrap parameter contains parameter regarding bootstrapping for CI.
% * Plot parameter contains parameters regarding single or multiple plots.
%%
%% 1.VAR Parameters
Para.p = 4; % V... |
function [value, M] = calCri2(A, X, K, I, new, M)
% Caculate the criteria value
% INPUT
% A: the adjacency matrix
% X: the membership vector
% K: the number of blocks
% I: the node to be moved
% new: index of the block to which node I is moved
% M: the matrix of total edge... |
// UNSUPPORTED: target={{.*}}-zos{{.*}}, target={{.*}}-aix{{.*}}
// RUN: cd %S
// RUN: %clang_cc1 -x objective-c -fmodules -fno-implicit-modules \
// RUN: -fmodule-file-home-is-cwd -fmodule-name=libA -emit-module \
// RUN: -fmodules-embed-all-files %S/Inputs/normal-module-map/module.map \
// RUN: -o %t/mod.... |
function [ X, vX, aX, tarray ] = cartesian_circ( Pstart, Pend, Pcenter, Rotaxis, righthanded, t, dt, vp )
% Interpolate a circular arc path in cartesian space based on initial and end position
% [x,y,z] and orientation angles [theta,phi,psi], rotation center and
% axis, and rotation direction
% Output:
% X = cartes... |
function cfg = track_nets(cfg)
% Track the functional nets through time
global dynanets_default;
method_list = cfg.track.method;
if isstruct(cfg.track.method)
cfg.track.method = {cfg.track.method};
end
for m = 1 : length(method_list)
cfg.track.method = method_list{m};
track = method_list{m};
for ... |
% event parameters
lat_range = [-27 -26];
lon_range = [-115 -114];
mag_range = [5 7];
start_time = '2014-09-06 01:00:00';
search_time_range = 10; % in hour
% station parameters
%station_network = '_GSN';
%station_network = 'TA';
%station_network = '*';
station_network = '_US-ALL,_GSN';
min_epi_dist = 0;
... |
clc;
clear all;
close all;
dataset = 'VIPeR';
%dataset = 'PRID';
if strcmp(dataset,'VIPeR')
data = load( 'data/VIPeR_split.mat');
n_gallery = 316;
n_train = 316;
n_test = 316;
end
if strcmp(dataset,'PRID')
data = load( 'data/PRID_split.mat');
n_gallery = 649;
n_train = 10... |
addpath('/n/home09/jguo/SAM_drymodel/Drycore/');
addpath('/n/home09/jguo/WRFV3.3/stat');
%% set up global variables
global cp dx dz fcor ccrit ggr tau taum nr nzm nz rd rout r rm cd ce alpha ztop zsponge z zm zz t t_end dt Nstep cs eddyu eddyv eddyw eddytheta v00 theta00 H ppi00
global eddy_flag sponge_damp diffusion ... |
function [sim_basis] = OrthonormalizeBasis(obj)
%OrthonormalizeBasis Summary of this function goes here
% Detailed explanation goes here
[Q,~] = qr(obj.sim_basis,0);
sim_basis = Q(:,1:obj.n_sim_basis);
end
|
MNImask = imgload('MNImask');
% [ bounds, bounded_mask ] = mask_bounds( MNImask );
MNImask_boundary = bndry_voxels(logical(MNImask), "full");
%%
f = Field();
f.mask = logical(MNImask_boundary);
f.xvals = {1:91,1:109,1:91};
plot_voxmf( f )
%%
mask = imgload('MNImask');
%%
% Create a 3D grid of coordinat... |
% closedLoop.m
% Constants
global ts;
center = 0;
% Format: {time, visStim}
% [Mode, K0, K1, K2]
visStim0 = [1, 0, 0, center];
visStimN = [1, 0, -1, center];
LaserOn = '0000';
LaserOff = '0000';
olf1 = '0000';
olf2 = '0000';
histogramBounds = [10 ,70; 70, 130];
trialStructureList = [...
{0, v... |
function result=fc(t,f0)
T=1/f0;
result=zeros(1,length(t));
for time_index = 1:length(t)
if mod(t(time_index),T)<T/6
result(time_index)=mod(t(time_index),T)/(T/6);
else if mod(t(time_index),T)>T/6 && mod(t(time_index),T)<4*T/6
result(time_index)=-mod(t(time_index),T)/(T/6)+2;
... |
clear
hold on
%% D|PID
close all
clear
K = 2652.28;
%K= K/23; %Reductora
p = 64.986;
b2 = 0.5;
b= 10;
z = 20;
Kp = p^2*(2*b+1/z^2)/(b2^2*K);%00.015;%[0.5,2];
taud2 = p/(K*Kp);%0.02;%[0.1,0.5,2,]; %Debe ser >0!
taui = b2*z^2*(2*b+1/z^2)/(b*p);%[0.5,2];
taud1 = b2*(b-b2+2)/(p*(2*b+1/z^2));
% SOLO PINTA LAS FIGURAS DISTI... |
%Get user inputs for folder
%[filename pathname] = uigetfile('*.avi', 'select first movie');
%[tagfile tagpathname] = uigetfile('*.csv', 'select taglist file');
parDir = uigetdir(pwd, 'Choose parent directory');
cd(parDir)
dirList = dir('*colPos*');
close all
for i = 1:numel(dirList)
%for i = 1:2
%%
masDi... |
%Load Bipolar signals
S17=load('S17.mat');
S17=S17.S17;
S12=load('S12.mat');
S12=S12.S12;
S9=load('S9.mat');
S9=S9.S9;
%Load Monopolar signals
V17=load('V17.mat');
V17=V17.V17;
V12=load('V12.mat');
V12=V12.V12;
V9=load('V9.mat');
V9=V9.V9;
V6=load('V6.mat');
V6=V6.V6;
'Loaded channels'
%Total amount of time s... |
% Compare refaced data with ground truth. Calculate L1 and L2 norm. Plot
% convergence of training across epochs. Create summary images.
dirGroundTruth = fullfile('data','Dataset-defacing5-maskface');
dirGTIm = fullfile(dirGroundTruth,'testA');
dirUnsup = fullfile('generate_images', '20181001-105440-defacing5-maskfac... |
% RMHC
runs=10;
R=50;
d=10;
T=500;
trials=10000;
winHitting2=zeros(1,R);
for r=1:R
for run=1:trials
x=RandomBinaryString(d);
evals=0;
findOpt=0;
while (findOpt==0&&evals<=T-2*r)
xp=x;
mut=randi(d);
xp(mut)=1-xp(mut);
if SampleGame(xp,r)... |
close all;clear all;clc;
load hall;
img = hall_gray;
v = zigzag(img);
img1 = uint8(izigzag(v,size(img)));
max(max(img-img1))
imshow(img1); |
[num, txt, raw] = xlsread('controldata.csv');
accelx = num(1:end,3);
accely = num(1:end,4);
accelz = num(1:end,5);
gyrox = num(1:end,6);
gyroy = num(1:end,7);
gyroz = num(1:end,8);
angleX = rad2deg(atan(y/sqrt(x^2+z^2)));
angleY = rad2deg(atan(x/sqrt(y^2+z^2)));
compFangX = 0.98 * (angleX + gyrox * dt) + 0.02 * acce... |
function [S] = runFSM(nref,x0,varargin)
%{
Fast Sweeping algorithm
Input-
nref - non-negative index of refraction
x0 - a 2x1 vector of coordinates of the source point [x,y]
varargin : S0 - values of the distance map at the points x0; (default : S0=0);
Output-
S - optical length on a regular grid
copyright 2014 Amit B... |
function global_demo1(num)
global globalvar
if nargin>0
globalvar=num
end
fprintf('Global variable in function %s is %d\n',...
mfilename, globalvar);
|
%This is a code that computes the
%cartoon RTC function in a linear
%coupled network, with given coupling
%lengths. It also computes all
%the partial derivatives on all the
%parameters
clear all;
%LGN kernel time delay
T=3;
%LGN kernel time parameters
alpha=4;
beta=1/2;
%LGN kernel width
sigma=0.3;
%Cortical time ... |
%-------------------------------------------------------------------
% Here's an implementation of the sigmoid function, which you may find useful
% in your computation of the costs and the gradients. This inputs a (row or
% column) vector (say (z1, z2, z3)) and returns (f(z1), f(z2), f(z3)).
function sigm = sigmoid... |
function c = guessMult(d, tol)
lam1 = max(d);
c=0;
for i = 1:length(d)
if abs(d(i)-lam1)/max(lam1,1) <= tol
c=c+1;
end
end
end |
clear;
close all;
clc;
smallWorldExample
SIZE = 11;
C = 4;
% graph = GenerateCircularGraph(SIZE, C);
graph = A;
CalculatePathStatistics(graph)
VisualizeGraph(graph);
|
function s = vocodeFromEnvelopes(fc, envelopes, carrier_type, Fs, rms_level, fl, fu)
% generate a vocoded signal based on envelopes
% supports two different vocoding strategies:
% (1) based on bands of pink noise (carrier_type: pink)
% (2) based on pure tones (carrier_type: sine)
%
% fc: 1 x n vector of centre ... |
if (~exist(fullfile('data-striation', 'no-focus1', 'before', 'avg.png'), 'file'))
averagePhotos(fullfile('data-striation', 'no-focus1', 'before'), 8);
end
IB = imread(fullfile('data-striation', 'no-focus1', 'before', '1.jpg'));
if (~exist(fullfile('data-striation', 'no-focus1', 'after', 'avg.png'), 'file')... |
##Plano de Bits
function aux = plano(img,n)
aux = img;
for i=1:size(img)(1)
for j=1:size(img)(2)
if(bitand(aux(i,j),2**n)>0)
aux(i,j) = 255;
else
aux(i,j) = 0;
endif
endfor
endfor
endfunction |
function [ ] = simple_ik(typeInteger)
% Simple inverse kinematics using inverse jacobian method
% joint limits (degrees)
joint_limits = [...
-97.494 97.494 0; ... % s0
-60 123 31.5; ... % s1
-174.987 174.987 0; ... % e0
-150 2.864 -73; ... % e1
-175.25 175.25 0; ... ... |
% F5
function o = FUN5(x)
dim=size(x,2);
o=sum(100*(x(2:dim)-(x(1:dim-1).^2)).^2+(x(1:dim-1)-1).^2);
end |
function plotBurstConstruction(fsamp,dataC,dataX,XH,burstinds)
% plot data% Run inside constructGenCrossMatrix
a(1) = subplot(5,1,1)
XC = dataC;
tvec = linspace(0,size(XC,1)/fsamp,size(XC,1));
plot(tvec,XC,'b')
a(2) = subplot(5,1,2)
plot(tvec,dataX,'b')
a(3) = subplot(5,1,3)
plot(tvec,XH,'b')
ylim([0 4])
a(4) = su... |
function makedir(directory_name)
if exist(directory_name) ==7, return; end
warning off
% R13 compatibility
if strfind(version,'R13'),
I = findstr(directory_name,'/');
parent_dir = directory_name(1:I(end-1));
new_dir = directory_name(I(end-1)+1:end);
status=mkdir(parent_dir, new_dir);
else
... |
% 'Track and Label Bounding Box(Cuboid) Automatically Based on predefined Bounding Box
%
% [Japanese]
% トラッキングアルゴリズムを利用することで、点群データ向けラベリング(Cuboid)を半自動化します。
% 使い方は以下の通りです。
%
% Step 1 : Labeler上でROIラベルを定義します。ラベルタイプは"Cuboid"を選択します。
%
% Step 2 : 点群データをクラスタリングします。Labeler本体の機能としてクラスタリング機能が
% 提供されていますので、そちらを利用します。La... |
function [stimulusData, responseData] = parsePresentationFile( ...
filename, metaData, screenCoords, encoding)
%PARSEPRESENTATIONFILE Load experimental setup from a spreadsheet file
%
% stimulusData:
% The columns define the order of stimuli drawn to the screen.
% Each column is a new stimulus drawn on the scree... |
%
% This code uses the Euler method to solve y'=-a*y+0.25*t^2
% with time step h=0.1 and h=0.05. Then it estimates the error
% and plots the estimated error as a function of time.
%
clear
clf reset
%
a=2;
y0=2;
h=0.1;
%
% Run with h
%
n=5/h;
t=[0:n]*h;
y=zeros(1,n+1);
y(1)=y0;
for j=1:n,
y(j+1)=y(j)+h*(-a*y(j)+0.25*... |
length=2.1336*10^3;%mm;
width=1.524*10^3;%mm;
radiu_in=0.4572*10^3;%mm
radiu_out=1.9812*10^3;%mm
x1 = [0.381 0.381 -0.381 -0.381].*10^3;
x2=[-1.2954 -1.2954 -2.8194 -2.8194].*10^3;
y1 = [-1.5616428.*10^3 length+1.5616428.*10^3 length 0];
y2=[0 length length 0];
c1 = linspace(0,-pi,20);
c2 = l... |
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