text stringlengths 8 6.12M |
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ptDir='MG49';
sessionNum=3;
for ch=1:96
for cellNum=1:4
for wakeBool=0:1
if(wakeBool)
stateName='Wake';
timeLimits=[0 10000];
else
stateName='Sleep';
timeLimits=[10000 16000];
end
chStr=getChStr(ch);
cellStr=[chStr num2letter(cellNum)];
try
inputStruct.cellStr=cellStr;
inp... |
function obj = setType(obj, type)
% Sets the joint type
%
% Parameters:
% type: the joint type @type char
valid_types = {'prismatic',...
'revolute',...
'continuous',...
'fixed'};
obj.Type = validatestring(type,valid_types);
end |
function best_variables = run_pso(zn, kn)
%% each time optimize one anchor node
tic
clc
%clear all
close all
rng default
LB=[0 0 0 0 0 0 0 0 0 0 0 0]; %lower bounds of variables
UB=[100 100 100 100 100 100 100 100 100 100 100 100]; %upper bounds of variables
% pso parameters values
m=12;... |
Lb=[4000:64000];
n=ceil((1-0.000005).^(-8*(Lb+8+(Lb+20)/(1500-20)*28)));
h1 =plot(Lb,n,'-b');
hold on;
n2=ceil((1-0.000005).^(-8*(Lb+8+(Lb+20)/(1500-20)*28)))+2;
h2 =plot(Lb,n2,'-k');
hold on;
n3=ceil((1-0.000005).^(-8*(Lb+8+(Lb+20)/(1500-20)*28)))+3;
h3 =plot(Lb,n3,'-g');
hold on;
%第一组实验数据
C1_16K =[2,2,2,2,2,2,3,2... |
function [M_c, R_c, P_c, d_S, rho_mantle] = fn_get_C_m_implications(...
rho_silicate, rho_sulfide, m_frac_sulfide, dispersed, C_m)
if length(rho_silicate) == 1
rho_silicate = rho_silicate * ones(size(m_frac_sulfide));
end
if length(rho_sulfide) == 1
rho_sulfide = rho_sulfide * ones(size(... |
function [out] = Proj2_Ice_Dream_Team14_Func2(cd,isCorr,V)
%% Constants
cdw = cd;
cda = cd;
cdpw = 0.0035;
cdpa = 0.0022;
P_max = 74569987158/1e3;
p_ice = 917;
%% Initial Iceberg Conditions
path = 4;
[lats,lons,v_air,v_wat,Tw,mode] = GetPath(path);
% mode = 1 --> tow to next point
% = 2 --> ride current/ now towi... |
function [y,Fs] = getaudio(filename,range,channel)
%GETAUDIO Summary of this function goes here
% Detailed explanation goes here
% Parse input arguments:
if nargin > 0
filename = convertStringsToChars(filename);
end
if nargin > 1
range = convertStringsToChars(range);
end
if nargin > 2
channel = convert... |
function img_ = norm_img(img)
minz = min(min(img));
maxz = max(max(img));
img_ = uint8(double(img - minz) ./ double(maxz - minz) * 255); |
function a4_test_all
dir_images= '.\tracking_output\video_frames\';
dir_output= '.\tracking_output\particles\';
wait = 0.01; % skip time
files=dir(strcat(dir_output,'a_*.dat'));
n_files = length(files);
idx = 1;
idxs=[]; data=[];
for i=1:n_files
file = load(strcat(dir_output,files(i).name));
idxs = [... |
%% Plot the probability density function of disparities
%%
%% Input:
%% NO.1 para. = the index of figure
%% NO.2 para. = the dataset of disparities
%% NO.3 para. = the probability density function
%% NO.4 para. = the boundary
%% NO.5 para. = the activation for showing title (0=false, 1=true)
function plot_pdf(inde... |
% Part B
load("problem2");
maxiter = 100;
p = randperm(1000);
x_train = dataset(p(1:500),:);
x_test = dataset(p(501:1000),:);
train = [];
test = [];
for i=1:5
[ltrain,ltest,alpha,mix]=EM(x_train, x_test, i, maxiter);
n = size(ltrain', 1);
% figure(i)
% subplot(1,2,1);
% plot(1:n,ltrain');
% ti... |
% Benjamin Shih
% 16868f13 Muscle and Neural Control
% 1a Hill-Type Contractile Element
Fisomax = 6000; % N
lopt = 8e-2; % m
w = 0.56*lopt; % m
vmax = 12*lopt; % m/s
Necc = 1.5; % dimensionless
% Velocity of the contractile element [m/s]
vce = linspace(-vmax, vmax, 100);
% Length of the contractile element [m]
lce = ... |
classdef TrainMapTest < matlab.unittest.TestCase
% Copyright 2014 - 2016 The MathWorks, Inc.
methods ( Test )
function train(testCase)
% Create data
dim = 2;
N=20000;
N_test = N/5;
data = randn(dim+1,N);
target = [data(1,:);data(2,... |
X
z = X(:,1);
q = zeros(0,2);
for i = 1:size(z,1)
q(1,:) = fcn_inv([0;z(i)],l1,l2);
end
|
function pop = order( pop)
%UNTITLED10 Summary of this function goes here
% Detailed explanation goes here
h=size(pop);
population=h(2);
for i = 1:population
en_cour=pop(i);
MIn=en_cour.erreur;
for j = i:population
if pop(j).erreur<=MIn
pop(i)=pop(j);pop(j)=en_cour;
en_cour=pop(i)... |
conf = dsp2.config.load();
io = dsp2.io.get_dsp_h5();
signal_path = conf.PATHS.signals;
signal_path = fullfile( signal_path, 'transfer', '081617' );
mats = dsp2.util.general.dirstruct( signal_path, '.mat' );
mats = { mats(:).name };
pathstr = 'Signals/none/wideband/targon';
io.require_group( pathstr );
current_day... |
function [solution] = cournot_game(P, b, N, mc, qbar, k)
% A COURNOT GAME SOLVER
% USAGE :cournot_game(P, b, N, mc, qbar, k)
% Demand Function : Price = P - b*Quantity
% P : Intercept
% b : Slope
% N : Number of firms
% mc : Marginal cost for each sub-level units
% qbar : Production Constraints of each... |
clear;
% Population y0
rabbits = 100;
foxes = 30;
wolves = 20;
init = containers.Map({'r', 'f', 'w'}, {rabbits, foxes, wolves});
y0 = [rabbits foxes wolves];
options = odeset('RelTol', 1e-5);
steps = 0:0.01:100;
[t, y] = ode45(@(t,y) predPrey(t, y, init), steps,y0,options);
r = y(:,1);
f = y(:,2);
w = y(:,3);
figu... |
function ROI_struct = PMOD_VOI_reader_match_image(filename, handles);%, zV, x1, y1, z1, x2, y2, z2)
% only support PMOD VOI on static images
% only support ROI drawn on axial slices
% does support multiple contours on the same slice
h = msgbox('Reading the PMOD VOI file. Please wait...');
zV = -fliplr(handles.zV... |
% function plot_gauss(M,C)
%
% Plot a contour of a Gaussian PDF
%
% Parameters are:
% M - the mean
% C - the covariance
function plot_gauss(M,C)
[V,L] = eig(C); % eigen-decomposition of cov matrix C = V L V' , L is diagonal
l = diag(L); % select diagonal
phi = acos(V(1,1)); % angle of fi... |
function dydt = cr3bpse(t,y)
% non-dimentional circular restricted 3-body problem for Sun-Earth.
% y(1) = xp, y(2) = yp, y(3) = zp,
% y(4) = xv, y(5) = yv, y(6) = zv
xp = y(1);
yp = y(2);
zp = y(3);
xv = y(4);
yv = y(5);
zv = y(6);
muSE = 3.036e-6;
x1 = -muSE;
x2 = 1-muSE;
... |
function structplot2(searchString,x,y,Param)
%
if(~ishold)
washeld = false;
figure1 = figure;
axes1 = axes('Parent',figure1);
%axes1 = axes;
box(axes1,'on');
hold(axes1,'all');
xlabel(x);
ylabel(y);
legend();
title(strrep(searchString,'_',' '));
else
washeld = true;
end
St... |
function [ ] = Bounds( )
n = 1:100;
%Bounds
markov = 2/5 ;
chebyshev = 16./(9.*n);
hoeffeding = 2*exp(-n.*(9/50));
%True Binomial Probability
binProb = 1 - binocdf(floor(0.5.*n-0.5), n, 0.2);
plot(n, markov,'-', n, chebyshev,'r--', n, hoeffeding, 'b:', n, binProb, 'g-');
xlabel('n');
ylabel('Proba... |
clc;
clear;
addpath('./data')
load CMUsubject16_TRAIN_X
load CMUsubject16_TRAIN_Y
load CMUsubject16_TEST_X
load CMUsubject16_TEST_Y
load CMUsubject16_inverse;
load CMUsubject16_means;
TRAIN_X=CMUsubject16_TRAIN_X;%TRAIN_X是训练集样本
TRAIN_Y=CMUsubject16_TRAIN_Y;%TRAIN_Y是训练集标签
TEST_X=CMUsubject16_TEST_X;%TEST_X是测试集样本
TEST_Y... |
%BFGS method
f =@(x1,x2)3*(sin(0.5+0.5*x1))*cos(x2);
ezcontour(f,[0,20],[0,5])
hold on
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
x=[1.75;0.5]; %starting point
tol=0.0001;
dx=0.01;
a=1.61803;
b=0.0005;
f = @(x) 3*(sin(0.5+0.5*x(1)))*cos(x(2));
n=1;%starting iteration
SIZE=size(x);
H=eye(SIZE(1));%H... |
function q = box_frame(char,Q)
qK = [0,0,0,1];
switch char
case 'a'
th1 = 0.0283;
qv1 = [0,0.5121,-0.8589,0]; % imu frame
th2 = -0.0277;
case 'b'
th1 = 0.0871;
alfa = -0.3005;
qv1 = [0,cos(alfa),sin(alfa),0];
th2 = -... |
function [c1,c2,c2b] = Divided_Differences(N0, N5, M0, M5, x, y, Q,...
Index, Order)
c1 = zeros(N5,M5,Order-1);
c2 = zeros(N5,M5,Order-1);
c2b = zeros(N5,M5,Order-1);
c = zeros(1,Order+1);
% Divided differences in the x direction
for j = M0:M5-Order
for i = N0:N5-Order
xa = x(i:i+Order);
... |
eps0=8.85418782e-12; % F/m
mu0=1.2566370614e-6; % H/m
c0=1/sqrt(eps0*mu0);
numFrequency = 5e3;
frequency = linspace(0.69,3,numFrequency)*1e9;%*exp(1)/2.7;
numError = 1e3;
error = linspace(1e-6,1e-3,numError)*pi/3;
k0 = 2*pi*frequency/c0;
device_length = 0.05; %in meters normally 50cm
material_width = 0.01; % in meters ... |
function [ x,varargin] = gen_babble_speech(M,d,t,varargin )
%--------------------------------------------------------------------------
%
% Example that generates babble speech received by a uniform linear array
% of sensors.
%
% Author : E.A.P. Habets
% Date : 29-06-2017
%
% Related paper : E.A.P. Habe... |
%Creates mat files for test of RHD data with old scripts from LPNC
%Adrielle de Carvalho Santana
%Rodar com passivo.rhd
%22/05/2019
clear all
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
load('idx_passive.mat')
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
num=sort(abs(unique(idx)));
read_Intan_RHD2000_file2('passivo_190529_110950.rhd')
amplifi... |
function y = ustep(n)
y = ones(n);
endfunction
|
for ii = 1:10
fname = sprintf('hidstates3rd_10_WB_(24f40f288f6ws9ws9ws)_%d',ii);
f1=load(sprintf('%s.mat', fname));
temp = double([f1.hidstate;]);
temp = permute(temp,[3,2,1]);
xtr(ii,:) = temp(:)';
% f1=load([CIFAR_DIR '/filter8_ws12.mat']);
end
fname = sprintf('hidstates3rd_10_WB_(24f40f288f6ws9ws9ws)');
save(spri... |
function value = CS4300_conversion(y_value)
if(y_value == 1)
value = 4;
end
if(y_value == 2)
value = 3;
end
if(y_value == 3)
value = 2;
end
if(y_value == 4)
value = 1;
end
if(y_value == -1)
value = -1;
end |
function results=run_FCN1(seq, res_path, bSaveImage)
addpath('utilities/');
addpath('/home/vis/zhangzhe/caffe-future/matlab/caffe');
caffePath = '/home/vis/zhangzhe/caffe-future/';
input_size = [224,224];
duration = 0;
rects = zeros(seq.len,4);
for imgNum = 1:seq.len
tic;
imgName = seq.s_frames{imgNum};
im... |
%
% (C)lassical (R)unge-(K)utta (4)-th order method
% -> progressing in the REAL space
%
% solves U_t=f(U,t), U(to)=Uo
%
% IN: u :: initial solution (A,B)'
% s :: structure that contains system coefficients
% n :: number of points on x-grid
% h :: time step
% t_end :: time is assumed to very in ... |
xs= [54, 59, 66, 71, 71, 76, 79, 73, 69, 69, 56];
ys= [68, 55, 56, 60, 66, 71, 80, 75, 68, 60, 55];
plot(xs, ys)
dis= 0;
for i= 2: 1: length(xs)
dis= dis+ sqrt( ( xs(i)-xs(i-1) )^2+ ( ys(i)-ys(i-1) )^2 )
end
speed= dis/ (4* length(xs) ) |
% runToAnalyse.m
% In vitro data analysis. GFP
% --------------------------------
%
% limitsROI = [250 500 250 500];
% limitsYzoom = [-2000 6000];
% params.SNR_min = 2;
% params.rsq_min = 0.2;
% r554 = analyseFixedBrightSpots('554',15,100,'');
% % for params.x_limit_spectr = 2000;
%
% r556 = analyseFixedBrightSpot... |
function EDB2editpathlist(edpathsfile,useedges,symmetricedges,pathstokeep)
% EDB2editpathlist - Does some semi-automatic editing of an edpathsfile.
% A vector, 'multfactors' is introduced, which will boost or
% keep or switch off paths in the list of paths.
%
% Input parameters:
% edpathsfile An edpaths file that... |
function [root] = secant(func, x0, x1)
% func: target function
% x0, x1: interval
% root: output root0
root = 0;
i = 1;
while i>=1
root = x1 - (func(x1) * (x1-x0) / (func(x1)-func(x0)));
if abs(root-x1)/abs(root) > 1e-5, i = i+1;
else, break;
end
x0 = x1;
x1 = root;
end
end
... |
function [roiShapes indices] = FRAPMeasure(theImages, imageId, imageName, roiShapes, datasetName, pixels)
%Author Michael Porter
% Copyright (C) 2009-2014 University of Dundee.
% All rights reserved.
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Publi... |
% function y = enc_prac(im)clc
clc
clear
im = double((imread('/Users/INNOCENTBOY/Documents/MATLAB/pic/4.2.06.tiff')));
R = im(:,:,1);
G = im(:,:,2);
B = im(:,:,3);
% im = mat_rev_diffussion4(im);
[row,col,dim]=size(R);
tic
Mu = 3.99;
xlog1= 20.1;
ylog1= 22;
zlog1= 19;
k_5 = 34;
k_6 = 40;
k_7 = 36;
pix = 0.1;
N = numel... |
function labels_struct = segmentation_pairwisePotts_oracle(param, model, X, Y)
%segmentation_pairwisePotts_oracle does the loss-augmented decoding on a given example (X, Y) using model.w as parameter
%
% The model consist of the unary potentials for label 1 (the potential for label 0 is its negation) and Potts pairwise... |
%> @brief Evaluate the post function
%> The post-function
function fphys = matEvaluatePostFunc( obj, fphys )
end |
function [ bool ] = Present( i , j , IMG )
if(i>=1 && i<=size(IMG,1) && j>=1 && j<=size(IMG,2))
bool = true;
else
bool = false;
end
|
ANPV=diag(Area)*NPV;
vht=diag(Area)*Vol;
for i=1:889
for j=1:15
f(1, j+15*(i-1))=ANPV(i,j);
end
end
A=zeros(15,13335);
for i=1:14
for j=1:889
A(i, 15*(j-1)+i)=0.5*vht(j,i);
A(i+14, 15*(j-1)+i)=-1.5*vht(j,i);
end
end
Aeq=zeros(889,13335);
for i=1:889
for j=1:15
... |
function raw_data=fermi_filter_isodim2_memfix(raw_data,w1,w2)
% -------------------------------------------------------------------------
% kspace_filter(iraw) generates the 3D filtered kspace image. Only filter
% function is a fermi window. The input complex kspace dataset is
% multiplied by the 3D fermi window.
%
% ... |
clc; clear all; close all; %#ok
%%
load K.mat K;
h = [10*.3048 10*.3048 2*.3048];
layer = 76; % 75 76 80 85
Kn = K(:,:,layer); %myPlot(log10(Kn),'b');
test = 0;
uGrid = upsGrid(Kn,h,2,2,test);
save uGrid.mat uGrid;
K = uGrid.K; %myPlot(log10(K),'b');
pureNeum = 1;
makeFineData(K,h,pureNeum); % save fineData... |
%uArena{1}.agents{1}.plotVelocityComponents();
%uArena{1}.agents{1}.plotGlobalAttraction(uArena{1}.p_axe_lim(1):0.3:uArena{1}.p_axe_lim(2),uArena{1}.p_axe_lim(3):0.3:uArena{1}.p_axe_lim(4),uArena{1}.c_fun(0));
for j=1:length(names)
% Create movie/frames
visObj = visualArena(uArena{j});
% Figure... |
function [diffVal, daeVal, barVal]=macd(price, long, short,compare)
%%
if ~exist('long', 'var') || isempty(long), long = 26; end
if ~exist('short', 'var') || isempty(short), short = 12; end
if ~exist('compare', 'var') || isempty(compare), compare = 9; end
%%
% 计算短期和长期指数平滑
ema_short = ind.ma(price,short,'e');
ema_lon... |
function p = getCurveFitEffComp(SAECompMap);
%%
xData = [SAECompMap.PR SAECompMap.m_dot];
yData = SAECompMap.eff;
[p, resnorm] = lsqcurvefit(@myFun,p0,p,xData,yData);
function F = myFun(p,xData)
x1 = xData(:,1);
x2 = xData(:,2);
F = x(1) + x2.*(p(2) + x2.*(p( 3) + x2.*(p( 4) + x2.*(p( 5) + x2.*p( 6))))) + ...
... |
function movie(Y)
%Set-up drawing at initial conditions
cube_side = .5;
z_cmd = 5;
%Set-up movie
nframe=max(size(Y));
mov(1:nframe)=struct('cdata',[],'colormap',[]);
set(figure,'Color','white')
set(gca,'nextplot','replacechildren')
% Set the edges of the cube
x=[0 1 1 0 0 0;1 1 0 0 1 1;1 1 0 0 1 1;0 1 1 0 0 0]*cube_... |
function u = F(p, gamma, zeta)
%F Summary of this function goes here
% Detailed explanation goes here
if (gamma - p) >= 1
u = 0;
else
u = zeta .* (1-gamma+p).*sqrt(abs(gamma-p)).*sign(gamma-p);
end
end
|
function [HRV_measures]= HRV_Calculation (IBIsec, fs)
%% original made by Tara Chand
% To calculate HRV measures
%
% VLF=[0.0 0.04];
LF =[0.05 0.15]; HF=[0.15 .5]; % The range low and high frequency
if length(IBIsec)>=2
% HR
hr=60./(IBIsec);
meanHR=nanmean(hr);
%% time domains
sdHR=... |
%#codegen
function val = Serial_read( )
val=char(' ');
val =coder.ceval('Serial.read');
end
|
close all
set(0,'DefaultLineLineWidth',2)
set(0,'DefaultAxesFontSize',14);
%Specify the directory
cd('/Users/')
filenames = {'068 establishments.xls','071 income (England).xls','072 income (England).xls',...
'106a income (Saxony).xls','106b income (Saxony).xls','123 income (Prussia).xls',...
'124 income (Old... |
close all;
clear all;
clc
vm=0:0.1:10;
lm=1;
k=1;
w=1;
delta=0.5;
sigmam=delta/2;
lambdam=((lm)^2)/sigmam;
%part 1
l=2.*(1/sqrt(k)).*(k.*vm-1);
m=(-2).*(1/sqrt(k)).*(k.*vm+1);
n=exp(8*vm);
z1 = normcdf(l);
z2 = normcdf(m);
F1 = z1 + n.*z2;
k1=k-1;
l1=2.*(1/sqrt(k1)).*(k1.*vm-1);
m1=(-2).*(1/sqrt(k1)).*(k1.*vm+1);... |
function [ fv ] = hello( a,i )
a = imresize(a, [10 10]);
eno=eulerno(a)
eno(1).EulerNumber(1);
MM=feature_vec(a)
pro=projection(a)
fv=[eno(1).EulerNumber(1) MM(1) MM(2) MM(3) MM(4) MM(5) MM(6) MM(7) pro(1) pro(2) pro(3) pro(4) pro(5) pro(6) pro(7) pro(8) pro(9) pro(10) pro(11) pro(12) pro(13) pro(14) pro(15) pro(16)... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Schallanalyse mit FFT %%%
%%% Copyright Gentian Rrafshi %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Fs = 1e9;
L = 10000; % Length of signal
t = 0:... |
%%随机生成无线传感网络分布。
load TestData.mat X
%X=X(:,5:10);
[~,N]=size(X);
for i=1:1:N
for j=1:1:N % 节点j到节点i的距离
if i~=j
Distance(i,j)=((X(2,j)-X(2,i))^2+(X(1,j)-X(1,i))^2)^0.5;
else
Distance(i,j)=0;
end
end
end
tic;
CH1=1;
CH2=2;
CH3=3;
CH4=4;
Existed(1,:)... |
%% Direction Measurement (Magnetic Field)
%% Description
% 피가 흐르는 방향으로 센서를 이동시킬 때 혈류 속도와 센서의 이동속도간의
% 상대속도를 계산. 상대속도(v_r)에 따른 Rate Change Of MagneticField를 구한다. dsdfsdf
%% Parameter setting
clear all
clc
N_p = 30; % number of particle
d_int = 1e-4; % interparticle spacing
N = 1; % Number of positive point charge con... |
%Prob. 11(a)
w = linspace(-3*pi, 3*pi, 61);
Fs1 = 1000;
T1 = 1/Fs1;
F1 = linspace(-3/2/T1, 3/2/T1, 61);
X1 = zeros(1, 61);
for N = 1:61
W = (N-31)/10*pi;
for k = -1:1
if (W-2*pi*k)/T1 - 200*pi == 0
X1(N)= X1(N) + 1/T1*5/2*(sqrt(3)/2 + i*1/2);
elseif (W-2*pi*k)/T1 + 200*pi == 0
... |
function [AnimationTextures, frameToTrialMatrix] = AnimateFixationCross(AnimationTextures, crossTexture, frameToTrialMatrix, trial, duration, ifi)
% AnimateVisualNoise takes noise textures and concatenates them onto an existing AnimationTexture (1D matrix containing textures). Duration can be a single value or bielemen... |
function [a1, ax, ay, w] = est_tps(ctr_pts, target_value)
% Estimate Thin-Plate Spline (TPS) Parameters
% Author: Brian Wright
%
% ctr_pts: N x 2 with corresponding points in second image
% target_value: N x 1 representing point position x or y in first image
% a1: TPS parameter (double)
% ax: TPS parameter (double)
% ... |
function plot_circle
clear, clc, close;
x = zeros(100, 1);
y = zeros(100, 1);
t = 0;
for i=1:75
x(i) = 1 * cos(t);
y(i) = 1 * sin(t);
t = t + (0.0838);
end
figure, plot(x, y, '+')
end
|
%% Times2ElapsedSecs.m
% Author: Julianna Evans
% Date: 07.31.17
% Last Revision: 07.31.17
% Converts time from the inputted STK datetime string to elapsed seconds
% from the scenario starttime
function [elapsedSecs] = Times2ElapsedSecs(SCNstarttime, BALLOONstarttime)
%set timevectors using MATLAB's "datevec" functi... |
function [points0, points1, points2] = ...
Triangles(pionG, pionD, pozL, pozP, t)
% komentarze
% Autor: Maciej Chlebny
% Funkcja zwraca wektory z punktami dla 2n^2 trójkątów
% Parametry wejściowe:
% pionG, pionD - odpowiednio górna i dolna granica przedziału na "y"
% pozL, pozP - odpowiednio lewa i prawa g... |
% plot data
[~, uniqueInd] = unique(t_rmse);
ax = [];
ratioRMSE_plotUnique = ratioRMSE_plot(uniqueInd, :);
lengthArray = length(t_rmse);
% com = sqrt(sum(feature_all.com.^2));
com = feature_all.com;
upperBound = 4;
if size(ratioRMSE_plot, 2) < upperBound
upperBound = size(ratioRMSE_plot, 2);
end
h5_1 = figure;
f... |
close all;
% clear all;
clc;
%% Data Import
global z
global N
global dt
global u
global angPos
global gyro_angVel
global t
measurement_number = input('Which measurement do you want to import?');
filename = strcat('../Measurements/measurement_',num2str(measurement_number),'.csv');
display(filename, 'Opened File');
M... |
function [W_new11] = cunchuW(num1)
W_new11=zeros(64,2,4,384);
for i=1:4
for j=1:384
W_new11(:,:,i,j)=num1((i-1)*64+1:i*64,(j-1)*2+1:j*2);
end
end
end
|
function generate_Multimedia(frames, varargin)
% -------------------------------------------------------------
% generating dynamic multimedia files required,
% including *.gif and *.mp4 formatting
% -------------------------------------------------------------
% frames -> pic frames got from a cert... |
function [ output_args ] = high_low( rankingData,outputData,cutoffRate )
%High-Low: [ output_args ] = high_low( rankingData,outputData,cutoffRate )
%Data input has to be single column, otherwise, would get wrong output.
% vector wise is more convenient than matrix wise
%get rid of NaN in ranking factor
% nansum of out... |
function [x,y,width,height] = enlarge_rectangle(x,y,w,h,factor)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
x = x - factor*w;
y = y - factor*h;
width = w + 2*factor*w;
height = h + 2*factor*h;
end
|
classdef AbelianBlock < MatrixBlock
%ABELIANBLOCK Summary of this class goes here
% Detailed explanation goes here
methods
function Y = axpby(a, X, b, Y, p, map)
%% Special cases
% only overload general case, other cases are unchanged.
if a == 0 || ...... |
close all;
clear all;
clc;
a=1;
b=0;
w=pi/5;
p=0;
init_x_p=-9.9;
init_x_p_dot=1;
simtime=10.0;
sim 'abg_x_p1.slx'
%plotting
figure(1)
subplot(3,1,1)
plot(sim_abg_x_p.time, sim_abg_x_p.signals.values)
subplot(3,1,2)
plot(sim_abg_x_p_dot.time, sim_abg_x_p_dot.signals.values)
subplot(3,1,3)
plot(sim_abg_x_p_dd... |
function [varargout] = calc_SHG_spectrum(E_om,crystal_length,crystal_theta)
% This code calculates SHG/SFG spectrum (field magnitude and phase vs omega OR intensity vs wavelength)
% for type I phasematching if fundamental excitation (field magnitude and phase vs. omega) is known.
% Pump depletion is not included.
%... |
%% Stelling 18
%
% De output van een commando kan, na het uitvoeren
% ervan, te zien zijn in het Command Window.
%
Antwoord = 1;
|
function [LSsig, DIRsig, DIFFsig, DirAC_struct] = DirAC_run_stft(insig, DirAC_struct)
%% Run-time processing of 2D or 3D virtual-microphone STFT DirAC
%% for loudspeaker output
%% Archontis Politis and Ville Pulkki 2016
lInsig = size(insig,1); % signal length
nInChan = size(insig,2); % normally 4 for B-format
... |
%% csd_odas
% Estimate the cross- and auto-spectrum of one or two vectors.
%%
% <latex>\index{Functions!csd\_odas}</latex>
%
%%% Syntax
% [Cxy, F, Cxx, Cyy] = csd_odas(x, y, nFFT, rate, window, overlap, msg)
%
% * [x] Vector over which to estimate the cross-spectrum.
% * [y] Vector over which to estimate the cross-sp... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% DeepSqueak 2.7.0 %
% Copyright (c) 2021 Kevin Coffey , Ruby Marx, & Robert Ciszek %
% %
% Licensed under th... |
close all;
%% 读取两帧pcd文件，或读取txt文件
% 然后根据IMU数据显示配准结果，或手动调整配准参数，显示配准结果
%Method 1 读取pcd文件
UR=rotz(0);
TR=[0.1 0.05 0.0];
pcd1=pcread('/home/yaoshw/Downloads/tofpcdt3/1585031800.627109274.pcd');
pcd1=pcd1.Location;
pcd1=pcd1+TR;
pcd2=pcread('/home/yaoshw/Downloads/tofpcdt3/1585031802.667761645.pcd');
pcd2=pcd2.Location;
pc... |
function [control, r_err, i_err, px_err, py_err] = wiggle_test(winsize, angle, radius, epsi);
%winsize = 10000;
%angle = 0;
%radius = 0;
%epsi = 0.0000001;
% generate complex single-pole modal signal
[x, y] = pol2cart(angle, radius);
lambda = x+y*1i;
[vec, r] = modesynth_single_norand(winsize, lambda);
% control... |
clear; close all
folder = 'C:\Users\Orpheus\Desktop\DataFiles\DataFiles';
% Plot Body Temperature
BT = get_data(folder, 'BT');
figure(1)
plot_data(BT)
ylim([96 100])
title('Body Temperature')
xlabel('Time (s)')
ylabel('Temperature (F)')
% Plot Blood Pressure Diastolic
BP = get_data(folder, 'BP');
BPD ... |
function B = generateBox(s)
B = zeros(s,s,s);
p = 0.5;
i_1 = 1 + ceil(s*(1-p)/2);
i_2 = s - ceil(s*(1-p)/2);
range = i_1:i_2;
B(range, range, range) = 1;
end |
%% Script para teste dos classificadores Bayesianos
% Estimativa de parametros baseada em maxima verossimilhança
%% Limpa variáveis
clc; clear;
%% Carrega base de dados
% TODO - automatizar a separação das views
rgb_view_Path = '../Data Base Image Segmentation/RGB_view_order.csv';
shape_view_Path = '../Data Base Imag... |
%Set data paths
global chardata;
addpath('Data_path', '-begin');
addpath('..', '-begin');
disp('Initilation of data');
load('character_recognize.mat');
%add library for process_frame();
disp('Load DIPlib 2.7');
run('C:\Program Files\DIPimage 2.7\dipstart.m');
disp('DIPlib 2.7 Loaded successfully ');
|
% This matlab script plots the dielectric constant field and the Poynting
% vector field for electromagnetic-wave simulations by the maxwell2d
% program. To run this script you need the matlab netcdf toolbox to be
% installed.
% Do we print figures immediately?
is_print = 1;
visible = 'on';
% Get a list of the netcdf... |
function [header]=getHeader(IQ_File,groupNames,chanNames,refYN)
clear header;
header=cell(14,2);
for z=1:3
header{z,1}=IQ_File.Data.Root.Property(z).Name;
header{z,2}=IQ_File.Data.Root.Property(z).Value{1};
end
header(4,:)={'Date/Time',IQ_File.Data.Root.Property(4).Value};
for z=5:10
header{z,1}=IQ_File.Da... |
cfg=[];
cfg.channel='all';
cfg.elecfile='standard_waveguard64.elc'; % The electrodes are read prior to using this in the structure
cfg.headmodel=Standard2;
cfg.inwardshift=20; %how much should the innermost surface be moved inward to constrain
%sources to be conside... |
function img_sum = RT_CylArray(image_F,angle, n,Nt)
% implement the adjoint operator of tomographic photography
% angle is the array specifying the angle in degrees of integration in each lenslet
% line_image:(N_angle,n);
% image_F: a vector of [n*N_angle*Nt(Nt),1]
% image_t: [n,n,Nt]
GPU_A... |
function figuretool0(functionlist)
global camparam imgbound cellbound usedlist bondlist;
imgbound=[Inf,Inf,Inf,-Inf,-Inf,-Inf];
cellbound=[Inf,Inf,Inf,-Inf,-Inf,-Inf];
usedlist=[]; bondlist=[];
fcnnames=cellfun(@(x)x.function,functionlist,'UniformOutput',0);
if ~ismember('drawraMO',fcnnames)
for j=1:numel(fcn... |
clc;
clear all;
% some testing of modulated signal generation...
fs = 10000;
N = 5000;
f0 = 50;
fm = 5;
A0 = 1;
Am = 0.2;
phm = 10/180*pi;
u = mod_synth(fs,N,0, f0,A0,0, fm,Am,phm, 'sine', [1 1.5 0.5],[0.1 0.2 -0.3]*pi);
plot(u);
|
function inv = inversa(A)
N = length(A);
Af = Factorizacion(A);
inv = zeros(N,N);
for k = 1: N
b = zeros(N,1);
b(k) = 1;
y = sustitucion_hacia_adelante(Af, b);
x = sustitucion_hacia_atras(Af, y);
inv(:,k) = x;
end;
end |
% Lab6 Decision trees
% VV ML_T2018
load data_ionosphere % Contains X and XLabels variables
N_classes = 2;
N_samp = length(XLabels);
% training, validation and test indices
rng(1); % for reproducibility
P_train=0.6;
P_val=0.2;
P_test=1-P_train-P_val;
Index_train=[];
Index_val=[];
Index_test=[];
for... |
size = 100000;
rate = zeros(10,11);
x = 0:10;
for n = 1:11
x(1,n) = x(1,n)/10;
end
for m = 1:10
for n = 1:11
[Ha, Sa, Hb, Sb, Ce, He, Se, qubits, rate(m,n)] = BB84(size, (n-1)/10);
end
end
p = plot(x,mean(rate));
xlabel('Eve attack rate');
ylabel('correct rate');
p.Marker = '*'; |
function s = sumapi(m)
% Funció convergència a pi
x = 0;
for n = 0:m
x = x + ((-1/3)^n)/(2*n+1);
end
s = sqrt(12)*x;
end |
function [Xc CXc]=imancon(C,X)
% Rank correlated sampling using Gaussian copula
%
% Input:
% C : correlation matrix of the variables (nvar,nvar)
% X : uncorrelated samples
% Output:
% Xc : LHS sampling with corretion control (nsample,nvar)(units
% CX: Correlatoin matrix of rank-sorted samples Xcf.
% ... |
% makeP1Fig2.m
% Make Fig. 2 of Post 1
% REA 2011-05-28
%% make Figure
xray_energies = 10:0.2:10000; % keV
mus = []; % will hold mu data for xray_energies along rows and for all elements in material along columns
%plot the results
fh = figure;
dat = BodyMaterialCompositionFunc; % composition of body materials
[... |
function spincomp(pdefun, tspan, u0, pref)
%SPINCOMP Compare time-stepping schemes.
% SPINCOMP(PDECHAR, TSPAN, U0, PREF) solves the PDE specified by the STRING
% PDECHAR on TSPAN x U0.DOMAIN, with initial condition U0, using the various
% time-steps DT stored in PREF.DT and the timestepping schemes listed in
% ... |
%{
-> acquisition.Session
photostim_datetime: datetime # the time of performing this stimulation with respect to start time of the session, in the scenario of multiple stimulations per session
---
-> stimulation.PhotoStimulationInfo
photostim_timeseries=null: longblob # (mW)
photostim_start_time=null: float # (s) ... |
function varargout = gui05(varargin)
% GUI05 MATLAB code for gui05.fig
% GUI05, by itself, creates a new GUI05 or raises the existing
% singleton*.
%
% H = GUI05 returns the handle to a new GUI05 or the handle to
% the existing singleton*.
%
% GUI05('CALLBACK',hObject,eventData,handles,...) cal... |
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