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function [result, dice, volume] = evaluate_demo(PatientsData, feature_index, train_mean, train_std, model_SVM)
record = 0;
annotated_slices = PatientsData.annotated_slices;
annotated_features = PatientsData.annotated_features;
n = length(annotated_slices);
dice_belows = zeros(1, n);
dice_up... |
clear;clc;clf
peaks
[az,el]=view %方位角(azimuth)
%仰角(elevation)
view(30,-30) %設定圖形的視角，單位為度
colorbar('horizontal') %把coclrbar變為平行(內定預設為垂直)
|
function C = autodijk(varargin)
%
% NAME
%
% function C = autodijk()
%
% ARGUMENTS
% INPUT
%
% OPTIONAL
%
% DESCRIPTION
%
% 'autodijk' constructs the base class for analyzing the
% Dijkstra-based properties of a curvature mapping on a
% FreeSurfer surface.
%
% NOTE:
%
% HISTORY
% 02 November 2009
% o Init... |
function es = combineTwoVRexpts(es1, es2)
% function to combine two VR experiments.
% Created AS 2011
% Combines the following fields:
%. 'screenTimes2'
%. 'sortIDX'
%. 'screenTimes'
%. 'sampleRate'
%. 'sampleTimes'
%. 'trialID'
%. 'traj'
%. 'trajspeed'
%. 'ballspeed'
% 'lick'
... |
% -------------------------------------------------------------------------
% A demo for the SOS matrix decompsotion
% and Correlative Sparsity technique
% -------------------------------------------------------------------------
% Details can be found in the following papers
% [1... |
%% Question 2
% Clear variables and close figures
clear;
close all
load digits.mat
[n,d] = size(X);
nLabels = max(y);
yExpanded = linearInd2Binary(y,nLabels);
t = size(Xvalid,1);
t2 = size(Xtest,1);
% Standardize columns and add bias
[X,mu,sigma] = standardizeCols(X);
X = [ones(n,1) X];
d = d + 1;
% Make sure to ap... |
%Simple file to plot data drom 2 files in octave (2dim plot)
%addpath(genpath("/home/gomez/workspace/Plot1")); %or replace with needed
%savepath;
%path %this is a test
datax=load("x");
datay=load("y");
myPlot=plot(datax, datay);
% figure; %To create a new window
% hold on; %To not overwrite the existing plot
pa... |
clear, close all;
%%
% ML estimation using a receiver array with randomly placed antennas
% (uniformly distributed). This is the single carrier version.
%% Parameters
SNRdB=2000;
actSNR=10^(SNRdB/10);
%% Target & Modulation definition
% Angle
% u_x_real=rand()*1.8-.9;
u_x_real = 0.0;
u_real=[u_x_real;0;sqrt(1-u_x_rea... |
function [scfac] = procH5normFactor(file)
%procH5normFactor - read in the raw data sequentially in order to determine
%suitable normalisation / transformation scaling values...
% File name
if nargin == 0
%file = '/Users/jmckenzi/Documents/Box Sync/H5 Proc/H5-Test-170510-135411.h5';
file = '/Users/jmckenzi/Docu... |
%Outputs a formatted circuit, taken in as an 2 dimensional matrix.
%Fixed tile size.
classdef VisualGrid < handle
properties
%backend stuff
<<<<<<< HEAD
dimensionSizeX;
dimensionSizeY;
=======
dimensionSize;
>>>>>>> 3da1db6a338cf615ebb0ffbac6d91b23be6d27e7
squareSize; %the size o... |
%% Stelling 12
%
% De functie aanroep 'zeros(3)' genereert een matrix
% met 3x3 elementen.
%
Antwoord = NaN; % vul hier het juiste antwoord in 1 (WAAR) of 0 (ONWAAR)
|
% Name: Zheng Wen
% USC ID: 7112807212
% USC Email: zwen1423@usc.edu
% Submission Date 3/3/2020
addpath('E:\Chrome Download\EE569\Week3\basicOperations');
raw = readraw('GearTooth.raw');
img = raw22D(raw, 250, 250);
img = matTranspose(img);
img = fixedThresholdDithering(img, 150);
img_cp = img;
figure(1)
... |
%% mercury_test_ene_hist.m - plot graph of energy history
%% loading
% ene = mercury_load_ene('free_cooling3D.ene')
% restart = mercury_load_restart('free_cooling3D.restart')
ene.ene_tot = ene.ene_gra + ene.ene_kin + ene.ene_rot + ene.ene_ela;
%% history of energy
subplot(2,2,2);
plot(ene.ts, ene.ene_gra, 'g', ...
... |
function [] = parte2(which=1)
% Datos comunes a las 3 problemas planteados
[ind,coord,aristas,costos,delays]=carga("../datos/nodos.txt","../datos/aristas.txt");
[mAdy,vecInd] = adaptador(ind,aristas);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Por Costos
if (which==1... |
function hw3_3()
% Program the steepest descent and Newton algorithms using the backtracking
% line search, Algorithm 3.1. Use them to minimize the Rosenbrock function
% (2.22). Set the initial step length = 1 and print the step length used
% by each method at each iteration. First try the initial point
% x0 = (1.2, 1.... |
path(path, 'data/');
name = 'sparse-curve';
rep = 'results/tensor-dense/';
if not(exist(rep))
mkdir(rep);
end
n = 150;
M = load_image(name, n);
M = rescale(clamp(M,0,255));
% compute structure tensor around the curve
sigma1 = 1.5; % for gradient computation
sigma2 = 6; % for filtering the tensor field
T1 =... |
function res = preprocessLFP_VS(animal, iseries, iexplist, Probe)
% dwonsample the LFP to 1kHz and save it to a mat file
SetDirs;
global pepNEV
global DIRS
addpath(genpath('..\Behaviour analysis\'))
addpath(genpath('..\General\'))
addpath(genpath('..\Spike Analysis\'))
if nargin < 3
iexplist = [];
end
if nargi... |
clear
clc
n = 7;
maximum = 0;
minimum = 1000;
count58 = 0;
count32 = 0;
fileadj = 'bd'+string(n)+'adjmat.txt';
filever = 'bd'+string(n)+'_ver.txt';
Adj = importdata(fileadj);
V = importdata(filever);
V = V(:,2:size(V,2));
for a = 1:30
c = rand(size(V,2),1);
TSPs = V*c;
temp = TS... |
%% NLMS flux ramp estimation and demodulation
% Readout setup
Fs = 2.4e6; % downsampled rate
resetRate = 1e4; % flux ramp reset rate
frameSize = Fs/resetRate; % number of samples per frame
freqNorm = 2.9e4/Fs; % normalized frequency, 2.6kHz with 1kHz reset rate corresponds to 2.6 phi0
numb... |
close all;
clear;
clc;
Network1;
Network2;
Network3;
graph1 = ListToGraph(network1, max(network1));
graph2 = ListToGraph(network2, max(network2));
graph3 = ListToGraph(network3, max(network3));
VisualizeGraph(graph1);
VisualizeGraph(graph2);
VisualizeGraph(graph3);
%
% CalculateClusteringCoefficient(graph1)
% Calcu... |
classdef sm_viewer2_exported < matlab.apps.AppBase
% Properties that correspond to app components
properties (Access = public)
SingleMoleculeDataBrowserUIFigure matlab.ui.Figure
main_axis matlab.ui.control.UIAxes
loadsmfcsvfileButton matlab.ui.control.Button
... |
function [dxyz,mxyz] = defineCommonGrid(XYZ, dxyz,stepsize)
if nargin < 3
stepsize = 0.25;
end
if nargin < 2
dxyz = ones(1,size(XYZ{1},2));
end
mxyz = min(cell2mat(XYZ));
XYZ_adj = XYZ;
XYZm = cellfun(@(x) bsxfun(@minus,x,min(x)), XYZ, 'unif', 0);;
N = cellfun(@(x) size(x,1), XYZ);
ndim = length(dxyz);
... |
function [cM] = ...
stats_BE(astr_BETable, a_cols, varargin)
%
% NAME
%
% function [cM] = stats_BE(astr_BETable, a_cols [, ...
% ab_skipPrune, ...
% ab_skipFirstCol])
%
% ARGUMENTS
% INPUT
% astr_BETable string output table from 'mris_curvature_stats'
% a_cols int number of "paired" columns in
%... |
function [a,fL]=transform_cfp4_only(a)
maxA=max(max(max(a)));
a=double(a);
if maxA>1024
a=a/16;
elseif maxA>256
a=a/4;
end
max(max(max(a)))
%-----------------------------------------------------------------------
M=4;
tanTheta=1/8;
for ia=1:96
ia
[a(:,:,ia),fL]=LFP2(a(:,:,ia),M); a(:,:,ia)=block2band(a... |
function [A, b, nDir, confined] = BC(X,dom,n)
% [A, b, nDir, confined] = BC(X,dom,n)
% Matrices to impose Dirichlet boundary conditions using Lagrange
% multipliers on a rectangular domain
% Input:
% X: nodal coordinates
% dom: domain description [x1,x2,y1,y2]
% n: number of velocity degrees of freedom
% Outp... |
%Number 2 in Review
%Create a plot of y = x^2 for x = -10:10
x = -10:10;
y = x.^2;%Need the .^ to get element wise results
plot(x,y); |
function [A,B,C,D] = SystemModel(P)
%% Model Sistem
% Besaran fisis beserta konstanta yang digunakan
k = 1000; %kN/m
beta = 0.02;
g = 9.8; %m/s2
myu = 0.002;
%m1 = m(1); %ton
%m2 = m(2); %ton
m1 = 34 + (P*0.06); %ton
m2 = 34 + (P*0.06); %ton
% Pemodelan sistem
A = [0 1 0 ... |
tic
close all; clear all; clc;
conn = database('sim_v3_8_3_2015','root','sHa136384', 'Vendor','MySQL','server','localhost');
sqlquery = 'SELECT * FROM HistoryData';
curs = exec(conn,sqlquery);
curs = fetch(curs);
data = cell2mat(curs.Data);
time = data(:,2);
S = data(:,3);
I = data(:,4);
P = data(:,5);
R ... |
function xplus = g(x)
%%%%%%%%%%
%jump map of the hybrid automaton
%%%%%%%%%%
% load the parameters
parameter;
% state
xi = x(1:20);
zeta = x(21:24);
tau = x(25);
kapa = x(26);
xplus = zeros(26,1);
xplus(1:20) = xi;
xplus(21:24) = 0;
xplus(25) = 0;
xplus(26) = kapa + 1;
end
|
x = -1.4:0.01:0.4;
plot(x, myerrorfun(x, 1))
[x1, y1] = fminsearch(@(x) myerrorfun(x,1), -1.2)
hold on;
plot(x1, y1, 'ro', 'MarkerSize', 10, 'MarkerFaceColor', 'r')
|
% Lec 8.3 : Methods of Lines for transient PDEs
function fval = rodConduc(t,y)
% Parameters
Ta = 25;
alpha = 0.025;
beta = 0.1;
% Getting temperature
N = length(y)+1;
T(1) = 100;
T(2:N) = y;
T(N+1) = Ta;
h = 1/N;
%% Define dT/dt
dTdt = zeros(N + 1,1);
for i = 2:N
dTdt(i) = alpha/h^2*(T(i+1)-2*T(i)+T(i-1))- beta*... |
% The ReadImages function helps to read in a specified list of images
% given the filenames and the directory the files are located in.
%
% Input: path - A string containing the name of the
% directory the images are contained in
%
% filenames - A 1xn 1D cell array containing n strings
% ... |
### Skript zum Newton-Verfahren ###
function [x, e, v] = myNewton(f, df, x0)
if f(x0) == 0;
printf('Startwert ist schon eine Nullstelle.')
x = x0;
e = 0;
v = f(x0);
break
end
x(1) = x0;
x(2) = x(1) - f(x(1)) / df(x(1));
v(1) = f(x(1));
n = 2;
while(abs(x(n) - x(n-1)) > 10**(... |
function [] = GenLogdata_1(source)
% automatically log the test data signal in the preconditions
load_system(source);
sys = [source '/Validation Functions'];
c = find_system(sys, 'regexp', 'on','LookUnderMasks','all','Name','Test Info');
ReqNr = length(c);
lb = length('Test Info')+1;
lg = length([source '/Validation Fu... |
clear variables
acer=1;
rat24base=2; %Rat 24 base.
plot_sleep=0;
%%
%Rat=26;
for RAT=1:3
rats=[26 27 24 21];
Rat=rats(RAT);
% for Rat=26:26
if Rat==26
nFF=[
% {'rat26_Base_II_2016-03-24' }
% {'rat26_Base_II_2016-03-24_09-47-13' }
% {'rat26_Base_II_2016-03-24_12-5... |
function make_ADV_RC_bat_file(action,var_name)
% Make ADVISOR engine file
global binf MakeFile;
type='ess';
%Files and path for .mat files at different temperatures
files=strrep(MakeFile.data_files,'.mat','');
path=MakeFile.path;
%sort files in order of ascending temperatures
for i=1:length(files)
eval(['load ''',... |
%% Define parameters - adjust parameters here to fix tracking and ROI segmentation errors
warning OFF;
% Experimental parameters
exp_duration=60; % Duration of the experiment in minutes
referenceStackSize=5; % Number of images to keep in rolling reference
referenceFreq=3; % Minutes between r... |
function output = decoder(enc_out, no_points_per_bit, no_bits_per_sample,type)
output=[];
flag =0;
outputs =[];
switch type
case 'Unipolar NRZ'
for i=1:length(enc_out)/(no_points_per_bit)
if enc_out((i-1)*no_points_per_bit+1)>0
outputs=[outputs 1];
else
... |
function [f,qm,im,info1,info2,info3,ind]=fidread(pfilename,seq,slc,frm,acqno)
% Usage ... [f,qm,im,info1,info2,info3]=fidread(pfilename,seq,slice,frame,acquisition)
%
%ndat=info1(9);
%nslices=info1(3);
%npr=info3(5);
%nph=info3(2);
%nphmult=info3(11);
%nphases=nph*nphmult;
%frsize=2*npr*ndat;
HEADERSIZE=39984;
RDBRA... |
function plot_spec0
% Fit experimental data for a pair +hmin -hmin (high Hmin)
% using 5 parameters
% A - amplitude
% I0 - main field
% I1 - additional uniform field, proportional to Imin (due to shielding)
% Rmin - coil radius
% K1 - uniform field distorsion caused by SC coil
fit=0;
find_figure('p... |
function passed = test_eid2adj_faces
%% Test function eid2adj_faces on different non-manifold meshes
%% two "disks" intersecting in the middle. Each disk consist of 8 faces. Edges [8,9] and [4,9] are shared between disks.
tris=int32([1,2,9; % 1
2,3,9; % 2
3,4,9; % 3
4,5,... |
function pausekey(varargin)
% PAUSEKEY pauses a key has been pressed and waits for another key press.
% PAUSEKEY(key) pauses if specific key has been pressed and waits for another key press.
%
% Cogent 2000 function.
%
% $Rev: 218 $ $Date: 2010-10-27 12:06:55 +0100 (Wed, 27 Oct 2010) $
global cogent;
% Set and check... |
% test for building an anisotropic metric.
add_base_paths;
rep = '../../results/domain-anisotropy/';
if not(exist(rep))
mkdir(rep);
end
%%
% load mask
n = 300;
name = 'sala';
M = rescale(load_image(name,n));
M = perform_blurring(M,5)>.5;
M = conv2(double(M), ones(3), 'same')>0;
M = double(M);
%%
% Building ten... |
function fancyclip_make_release(newVersion)
% Cut a release of fancyclip
%
% fancyclip_make_release <newVersion>
%
% This does most of the steps of performing a release for you. It will:
% - run the tests
% - build the project
% - build the distribution artifacts
% - update the VERSION file
% - tag a new... |
function tests = ZonotopeTest
tests = functiontests(localfunctions);
end
function zonotope_creation_test(testCase)
M = [0 1;2 1];
% create a zonotope
cv = [1;1];
gener = [1 0;0 1];
zt1 = Zonotope(cv,gener);
assertError(testCase,@() Zonotope(1,gener),'some:siz_dismatch:id');
% te... |
# Two features, X and Y, are presented in the table below.
# Find the coefficients of the linear regression equation Y=aX+b, the correlation coefficient and the determinacy coefficient.
# Estimate the value of Y at an object with X=1.5.
# Output in the following order: a, b, the correlation coefficient, the estimated v... |
function strout = titlecase(strin)
% Convert the first letter of a given string to uppercase
strout = [upper(strin(1)) strin(2:end)]; |
function output = CropImg(input, pad)
output = input(pad(1)+1:end-pad(1), pad(2)+1:end-pad(2), :, :, :, :, :, :); |
%{
Camera-based tracker for the raft
HoverGroup/PVT (2013)
%}
clear;
close all;
imaqreset;
% obj = videoinput('winvideo',1,'RGB24_320x240');
% obj = videoinput('winvideo',1,'RGB24_424x240');
% min_area = 50;
% max_area = 200;
% obj = videoinput('winvideo',1,'RGB24_640x360');
obj = vi... |
function makeRdataStructureHemiRegANOVA(ResultsBetaSerConnectivityOnlyNum,acc)
%created by Oded Bein
%assumes that connectivity analyses and single-trial activity analyses were
%run. Takes the data and write it to a txt file that will be used to R
%analysis
%this script assumes that the connectivity and activity analy... |
function [t, Phi, F, P, Lp,Sp,Np] = vort_period(N, w, mu, BH, BD, Phi0)
% calculate 1 oscillation period
% N - number of points,
% w - frequency
% mu - beta_M/beta_L
% BD, BH = beta_L^2 T_D,H / 2f
% Phi0 - initial angle
t=linspace(0,2*pi/w,N);
Th = acos(-1/4);
AA = 1/(1-exp(-i*Th));
Sp = mu/sqrt(2) * exp(i*w*... |
clf;clear;
Th = 294.0;
Tl = 194:1:294;
lamda = 0.8;
wel_lambda = (Th-Tl);
wsup_lambda = ((1-Tl./Th).*(Th-Tl))./ (1-lamda);
hold on
plot(Tl-273.15, wel_lambda, 'b-','DisplayName', 'Radiator');
plot(Tl-273.15, wsup_lambda,'r-','DisplayName', 'Heat Pump');
hold off
legend('show', 'Location', 'BestOutside');
xlabel... |
% initialize the PASCAL development kit
tmp = pwd;
cd(VOCdevkit);
addpath([tmp '/VOCcode']);
VOCopts.datadir = '/Users/abhishek/Data';
VOCopts.dataset = '';
VOCopts.resdir = '/Users/abhishek/Data/Detection_model/';
VOCopts.testset = 'test';
VOCopts = VOCinit(VOCopts);
cd(tmp);
|
function [P_grad, update] = update_term(x_p)
global plant_dt gamma alpha g l
y = eye(2);
x=x_p;
while( sign(x(2))*(x(1)-gamma) < alpha)
x = x + plant_dt*stance_dynamics(x);
A_dyn = [ 0,1 ; g*cos(x(1))/l , 0];
y = y + A_dyn*y*plant_dt;
end
P = collision(x);
impact_grad = [ 0 , 0; 0, cos(2*alpha) ];... |
%% StartBoard
% Author - Tanishq Jain
% Sets up the intial game
% Needs global board_matrix img_matrix
% board_matrix = zeros(8)
% img_matrix = cell{8}
% Argument - flip = bool
function StartBoard(flip)
% Load .mat files
load Game_Replay_GUI/GUI_images.mat
load Game_Replay_GUI/GUI_var.mat
board_im = imsh... |
function Yout=stepit(dydt,yin,dt)
k1=dt*dydt(yin);
k2=dt*dydt(yin+k1/2);
k3=dt*dydt(yin+k2/2);
k4=dt*dydt(yin+k3);
Yout=yin+(k1+2*k2+2*k3+k4)/6;
end |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Numerische Mathematik fuer Physik und Ingenieurwissenschaften 2018 %%%
%% Programmierabgaben (Praktischer Teil des Uebungungsplattes) %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
... |
% Assignment 8 ;Problem 4
% Initialization
N0 = 1000;
I0 = 1;
R0 = 0;
Y0 = [N0;I0;R0];
% Executing ODE
tSpan = [0 25];
[tSol,YSol] = ode45(@(t,y) fun4Infec(t,y),tSpan ,Y0); |
function [diseasescores] = diseasescoresPD25_extract
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
workingdirectory = pwd;
files = dir(workingdirectory);
dirFlags=[files.isdir];
subFolders=files(dirFlags);
subFolders(1:2)=[];
for s = 1:length(subFolders)
currentSubj= subFolders(s... |
function [ nb ] = calcul_intersect( array1, array2 )
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
nb = 0;
for i = 1 : length(array1)
for j = 1 : length(array2)
if array1(i) == array2(j)
nb = nb + 1;
break;
end
end
end
... |
function [isequal] = double_equal(src, dst)
% double_equal 目的是检查两个浮点数是否相等，由于浮点数运算会有精度损失，用==或者 >= <= 等逻辑运算符
% 未必能够得到预期的结果。所以用double_equal来判断相等。
% true = abs(src - dst) < exp(-8)
% false = abs(src - dst) >= exp(-8)
isequal = abs(src - dst) < exp(-8);
end |
function [Y,numIter,tElapsed]=seminmfruletest(X,outTrain)
% SemiNMF based on update rules: X=AY, s.t. Y>0;
% X, dataset, matrix, each column is a sample, each row is a feature, each column of X is a sample
% k, number of clusters
% option: struct:
% option.iter, max number of interations
% option.dis, boolen scal... |
function barpic(numbars)
a=zeros(900);
barwidth=floor(900/(2*numbars));
bar_ind=ceil([1:barwidth]-(barwidth/2));
for k=1:numbars
a((2*k-1)*barwidth+bar_ind,:)=1;
end
a=1-a.';
%%
figure, subplot('position',[0 0 1 1]),
imagesc(a)
axis equal,
axis off
colormap gray
set(gcf,'color','w')
axis([1 900 1 900])
|
function Tsat= MBWREOS_Tsat(P)
%Calcuates the saturation temperature, by searching for a value of T which
%satisfies MBWREOS_Psat(T)-P=0
%Use:
%Tsat= MBWREOS_Tsat(P)
%where:
%P = pressure (kPa)
%Tsat = saturation temperature (K)
%NOTES:
%function returns -1 if given a pressure above the critical point
Tc =101.08+273.1... |
clear
close all
addpath ../model
xdk = figure('units','inches','Position',[-24,5,10,6]);
% this function gives a diurnal course of tmax
% with no stress it would produce 4.3mm/d transpiration
% x is the time of day from 0-24
pp = pi/(18-5.5);
f = @(x)max(0,tmax_max*sin((x-5.5)*pp));
swp0 = -0.3;
out = zeros(1... |
function runGetTrialTimes(varargin)
% This function loads the relevant digital file and estimates the trial
% times when the images were flashed
% use: runGetTrialTimes(varargin)
% input arguments can be:
% 'num' : channel number, should be a string . like '1'
% 'rawdataDirectory' : leave this empty if you want to load... |
% ======================================
% Cycle-slip detection
%
% zhen.dai@dlr.de
%
% last modified: 2011.Oct
% ======================================
% reaction when clicking the SECOND button "show results"
% depending on different methods selected, the button might have different
% titles, and hence there might... |
%% RCNN_SymmetricGroups : Creating Training Data
%--------------------------------------------------------------------------
%
% Creation of the region proposals for training a deep network. Each image
% is fisrt labelled manually. Since all the images of the group has a
% similar pattern, the labelled infomration is u... |
% main_capacity_plotter
function main_capacity_plotter(rk,const_index,stbc_index,r,N_BLOCKS,BLOCK_SIZE)
% precision spec
N_SAMPLES=N_BLOCKS*BLOCK_SIZE;
prec_spec=[N_BLOCKS,BLOCK_SIZE,N_SAMPLES];
% size of the step
SIZE_STEP=1;
% SNR interval limits. In dB
INTERVAL_LIMITS=[-10 15];
% quantity of points used
N_POINT... |
%[ALL]=[C,D,E,F,G,H1,I1,IIa1ADC,IIIb1ADC,IIIIb1ADC,JJJADC,JJJADCb2,T,PWM,Den,M];
[ALL]=importdata('Prueba_6.csv'); %%valor de muestras
[C]=ALL(:,1);
[D]=ALL(:,2);
%[E]=ALL(:,3)
%[F]=ALL(:,4)
[G]=ALL(:,3);
%%%%%%% Presion diferencial %%%%%%
[H1]=ALL(:,4);
[I1]=ALL(:,5);
[IIa1ADC]=ALL(:,6);
[IIIb1ADC]=ALL(:,7);
[II... |
% 8/28/14
% residual estimation error measurement
%
mics = 1;
order = 4;
winsize = 10000;
mscale = 0.001;
mshift = 0.999;
alpha = 0;
directory = "/media/joe/Milarepa/experiments/2014_08_29/d/";
trial = 6;
err = 0;
for mshift = (0.999:0.1:0.999);
[vec, lambdas, f, z, w, r] = modesynth(mics, order, winsize... |
%% Calculate the optimized trajectories for 6 link biped model with GRF
% the dynamics constraints are discrete Lagrangian
function result=opt_discrete(modelName,hipLen,toeLen,h,jointW,ank_push)
%add share functions
addpath dyn/
addpath obj/
addpath gaitCon/
addpath plotRobot/
addpath forward_dyn
addpath i... |
clear all
fs =96000;
noteON = 100 ; %100;
noteOFF =3500; %3500 ;
t = 0:1000/fs:4500;
note = (t >= noteON) & (t <= noteOFF);
N = length(note);
f0 = 110;
zi(1,:) = [0,0]; %vector zi(1,:) stores the previous value of the amplitude and state respectively.
zi(2,:) = [sin(0), cos(0)];% vector zi(1,:) stores intial phase f... |
% An enum class of for interference free workspace methods
% Author: Zeqing
% Date: 7/2017
% Description: Enum class for different interference free workspace methods
classdef InterferenceFreeMethodType
enumeration
M_MINDISTANCE_CABLE_CABLE
end
end
|
%Matriz ya paso por un proceso de verificacion
% Matriz es cuadrada
% Df
function [ respuesta ] = definidaPositiva( matriz )
[n,~] = size(matriz);
verificador = 0;
for i = 2:n
subMatriz = matriz(1:i,1:i);
valor = determinante(subMatriz);
if(valor <= 0)
verificador = 1;
break;
end
en... |
%% Data Fitting
% Script Solves for coefficients of production equations and plots the equations
% on graphs
% Calculates time interval Domain for February, 2013
startIndex=find(date=='01-Feb-2013');
endIndex=find(date=='01-Mar-2013')-1;
% Values of these vectors will be defined when the main script runs
% Alters... |
function [League,nEval]=LoserFunction(League,Loser,nEval)
global ProblemSettings;
global SCASettings;
nVar=ProblemSettings.nVar;
VarMin=ProblemSettings.VarMin;
VarMax=ProblemSettings.VarMax;
nMainPlayer=SCASettings.nMainPlayer;
nReservePlayer=SCASettings.nReservePlayer;
Co... |
function R = ApllyOperator(Field,Operator)
R = zeros(size(Field));
for i=2:size(Field,1)-1
for j=2:size(Field,2)-1
R(i,j)=sum(sum(Field(i-1:i+1,j-1:j+1).*Operator));
end
end
endfunction
|
% Author: Jonathan Sprinkle
% Compares bag files from several experiments in gazebo using the same
% inputs
%% set up the cell arrays
% bagfiles = cell(2,1);
% ts = cell(2,1);
% complexGazeboInputs/hardLeft-lessbounce1
bagfiles{1} = rosbag('2016-05-24-21-19-08.bag');
bagfiles{2} = rosbag('2016-05-25-14-59-18.bag');
ba... |
error = zeros(test_ds.n_data,1);
for i = 1:test_ds.n_data
temp1 = test_ds.data{i}.ann;
temp2 = fann(:,:,i);
eye1 = mean(temp1(test_ds.comp{3},:));
eye2 = mean(temp1(test_ds.comp{4},:));
eye_dist = mean(sqrt(sum((eye1 - eye2).^2,2)));
% eye_dist = mean(sqrt(sum((temp1(125,:) - temp2(145,:)).^2,2)));
erro... |
%% R-Breaker日内（非高频）交易策略
%{
第1版 张树德（sdzhang@wind.com.cn） 2013年7月5日
R-Breaker是个经典的具有长生命周期的日内模型，曾14年排名Future Trust杂志年度前10最赚钱的策略。
该策略包含突破与反转二种策略，
主要的思想：
根据前一个交易日的收盘价、最高价和最低价数据通过一定方式计算出六个价位，从大到小依次为：
观察卖出价(Ssetup):昨高+0.35*(昨收-昨低); //ssetup
反转卖出价(Senter):(1.07/2)*(昨高+昨低)-0.07*昨低; //senter
反转买入价(Benter):(1.07/... |
% prepare data
l1 = 10; % length of first arm
l2 = 7; % length of second arm
nr_p = 50;
theta1 = linspace(0, pi/4, nr_p); % all possible theta1 values
theta2 = linspace(0, pi/2, nr_p); % all possible theta2 values
[THETA1,THETA2] = meshgrid(theta1,theta2);
X = l1 * cos(THETA1) + l2 * cos(THETA1 + THETA2);
Y = l1 *... |
function x=wt_Lehmer_Mean(A, df)
% Function to get weighted lehmar mean
wt = df/sum(df);
x = sum((A.*A).*wt)/sum(A.*wt);
end |
% Loading Dataset
data = readtable('datasets_rankings.csv');
% Selecting and Converting 2 columns in array 'x' and 'y'
x = table2array(data(:,1)); % Column: 1
y = table2array(data(:,5)); % Column: 5
% fit polynomial
cftool; |
% proc_interp - interpolate artifact or missing data using EEGLAB's
% spherical-spline interpolation
%
% Usage:
% >> OUTEEG = proc_interp(INEEG, varargin);
%
% Inputs:
% INEEG - input EEG data structure
% 'type' - interpolate just artifact ('artifact'; i.e. EEG.reject.*TYPE*E==1)
% ... |
clear all;
options = optimset('MaxFunEvals', 1000);
optymalne = fminsearch(@fzad2, [1.8 3.3 5], options);
% parametry obiektu
% N = 2;
% C = 1000;
% d = 3;
% B = C*C/(2*N);
% alfa = 2*N/(d*d*C);
% beta = 1 / d;
d = 3;
B = 2;
alfa = 12;
beta = 3;
zadana = 5; % wartość zadana
Ki = 1;
K = optymalne(1);
Ti = optyma... |
function [Left] = ENO_Interpolation_Stencil(N0, N5, Order, c1)
Left = zeros(1, N5-N0+1);
Left(N0 ) = 1;
Left(N5-Order+1:N5) = N5-Order;
for i = N0 + 1 : N5 - Order
is = i;
for m = 2 : Order
if (abs(c1(is-1,m)) < abs... |
%% Distortion Resistance
%%
set(0, 'DefaultFigurePosition', get(0,'screensize'));
clc; clear; close all;
%% Introduction
%
% In this exercise we will test how stable is the network. For this
% purpose, we will first train the network with some patterns. Next, we
% will add some noise to these patterns and test if th... |
function c = mycond(A, v)
%
% function c = mycond(A, v)
%
% Compute condition number of matrix A, A should be invertible.
% Cond(A)_v = norm(A^{-1})_v * norm(A)_v.
%
% Input -
% A: NxN matrix
% v: 0 -- L_infinity norm
% 1 -- L1 norm
% 2 -- L2 norm
%
% Output -
% c: number, condition number of A
%% Parameter chec... |
% % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% % %clean and collect results
% clear;clc
% location = '/home/hengl/matlab/bin/scripts/ITAFS/results/';
% data = 'penglymp';
% boots = 7;
%
% bootstrap = [];
%
% % store the consistencies across different rounds
% SPConsistency_mrmr = [];
% SPConsistency_jmi = [];
%... |
load wavelengths.txt;
load delays.txt;
load FROG.txt;
N=256;
freq0=flipdim(299.792./wavelengths,2);
T0=5.0333;
delays_fs0=(delays-T0)*1e6/299.792*2;
freq_center=freq0(round(length(freq0)/2));
freq_step=min([(freq_center-min(freq0))/(N/2-1) (max(freq0)-freq_center)/(N/2-1)]);
freq_min=freq_center-(N/2-1)*freq... |
function[angles_array, power_array, time_array, distance_array] = ...
flight_simulation_scenarios(E_model, E_angle_speed, E_rotate, e_total, altitude)
angles_array = [];
power_array = [];
time_array = [];
distance_array = [];
% open every workspace file
for j = 3 : size(di... |
function modulatedOffset = modulate_OffsetWindows(norm, snakeCompl,...
windows)
offset_windows = windows.offset;
len = windows.numWindows;
slope = snakeCompl.slope;
mod... |
function [t,varargout] = calc_direct_radiance(layer_dens,los_lens,gasvec,cros,sol,p1,p2,p3,offset,L)
% [t,K,K2] = calc_direct_radiance(layer_dens,los_lens,gasvec,cros,sol,p1,p2,p3,offset,L)
% km to cm
c = 1e5;
% parametrized polynomial and solar sepctrum
base = L*[p1 p2 p3]' .* sol;
% size of the problem
[ngas,nlay,... |
classdef VolumeOptions < steno3d.core.opts.Options
%VOLUMEOPTIONS Options for Steno3D Volume objects
% For usage details, see the %%%ref[options help](steno3d.core.opts).
%
% %%%properties
%
% See the volume %%%ref[EXAMPLES](steno3d.examples.core.volume)
%
% %%%seealso steno3d.core.opts, steno3d.core.Volume
%
... |
function est = get_estimate_from_label_probabilities(W)
% GET_ESTIMATE_FROM_LABEL_PROBABILITIES - returns the volumetric estimate of the
% true segmentation given the label
% probabilities (W - in STAPLE notation)
%
% est = get_estimate_fro... |
function [ output_time ,output_distance ] = process_data( PLAYED, RECEIVED, SampleRate , sound_vel)
%_____PERFORMING THE CORRELATION BETWEEN THE RECEIVED SOUND ANDTHE ECHO__
CORRELATED_SOUND = xcorr(RECEIVED, PLAYED);
%_______________TRIMMING THE EXTRA DATA AFTER CORRELATION _________
%%since we know that in c... |
close all;
clear;
%dicominfo
good = load('lab_bioimaging/imT1.mat');
x1 = good.imT1(:,:,1);
x2 = good.imT1(:,:,2);
x3 = good.imT1(:,:,3);
x4 = good.imT1(:,:,4);
x5 = good.imT1(:,:,5);
x6 = good.imT1(:,:,6);
x7 = good.imT1(:,:,7);
x8 = good.imT1(:,:,8);
newfit = zeros(size(x1)); t1map = zeros(size(x1));
t1 = [50,100... |
function [cm, avg_acc, index]= get_cm(gt,predict_label,FLAG)
% Get confision matrix and average accuracy from groundtruth and predict
% result.
% Written by Xiaojiang Peng,9/2012. Email: xiaojiangp@gmail.com
% Input:
% gt and predict_label are both column vectors
% FLAG=1 is for rate format.
% Output:
% cm:... |
% Intrinsic and Extrinsic Camera Parameters
%
% This script file can be directly excecuted under Matlab to recover the camera intrinsic and extrinsic parameters.
% IMPORTANT: This file contains neither the structure of the calibration objects nor the image coordinates of the calibration points.
% All those c... |
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