text stringlengths 8 6.12M |
|---|
function [CFvals,CFvecs,x,dx,nx] = setup_getBasis(basis_loc)
load(basis_loc,'CFvals','CFvecs','x','dx','nx');
end |
classdef WhiteLight_Axiovert200 < Modules.Source
%LASER532 Summary of this class goes here
% Detailed explanation goes here
properties
intensity = 100; % Intenisty 0-100 (0-5 V)
prefs = {'intensity'};
end
properties(SetObservable,SetAccess=private)
source... |
% function [ afValues, afTimes ] = GetRoomTemperatureForecastsFromALookUpTable( tSignal )
% taking the room temperature forecasts of a certain room from a desired
% lookup table
%
function [ afValues, afTimes ] = GetRoomTemperatureForecastsFromALookUpTable( tSignal )
%
%
try %
%
%
tDevicesIDs = Signal.Get... |
L_values_neg=-(0:0.001:4);
L_values=(0:0.001:1);
plot(L_values_neg,real((sqrt(1+i*L_values_neg.^2)+sqrt(i)*L_values_neg).^4));hold on
plot(L_values,real((sqrt(1+i*L_values.^2)+sqrt(i)*L_values).^4));hold on |
function d2fdxdpval = SEIR_var_d2fdxdp(t,y,p,more)
beta = more.more.beta_fun(t,p,more);
t = t(:);
beta = beta(:);
dbetadp = more.more.beta_dfdp(t,p,more);
n = size(y,2);
r = zeros(length(t),n,n,n,length(p));
tmpdiag1 = diag(p(2)+y(:,3));
tmpdiag2 = diag(y(:,1));
r(:,1,1,1,more.more.beta_ind) = tmpdiag1 * dbetadp;
... |
% input: f -> an 9-joint robot encoded as a SerialLink class
% position -> 3x1 vector denoting the target position to move to
% output: q -> 1x9 vector of joint angles that cause the end
% effector position to reach <position>
% (orientation is to be ignored)
function q = Q1(f, positio... |
function [ state ] = WaypointController_roundCorner( state, W, P )
wCurr = 2;
W_2 = [[state(1); state(2)], W(:,1),W(:,2), W(:,3), W(:,4), [W(1,4)+ 10; W(2,4)]]
R = 100;
[WrowLength WColLength] = size(W_2);
while(wCurr < WColLength)
Wimin1 = W_2(:,wCurr-1)
Wi = W_2(:,wCurr)
Wiplus... |
% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
clc;clear;close all;format shortg
addpath([pwd,'/utility/'])
load('twistedxor2data.mat')
whos
% Name Size Bytes Class Attributes
% ... |
% Primer Ejemplo
clc; % Limpiar la información de la ventana de comandos
clear; % Limpiar las variables de la memoria
close all; % Cerrar todas las figuras expuesta
pkg load image
A = imread('files/camarografo.jpg');
% Las imagenes se trabajan en dos formatos:
% 1: 8 bits {0,1,.....,255} * El ... |
%fit all aboussaids HF constants
%addpath('C:\Users\Felix\Desktop\MSc Astrophysics Lund\Thesis\Matlab\10102016 matlab program full', 'C:\Users\Felix\Desktop\MSc Astrophysics Lund\Thesis\Matlab\thesis progrm 08 11 2016', 'C:\Users\Felix\Desktop\MSc Astrophysics Lund\Thesis\Matlab\thesis progrm 08 11 2016\R and stdev ... |
%3
histograma('kid.bmp');
calculaEntropia('kid.bmp');
pause();
histograma('homer.bmp');
calculaEntropia('homer.bmp');
pause();
histograma('homerBin.bmp');
calculaEntropia('homerBin.bmp');
pause();
histograma('guitarSolo.wav');
calculaEntropia('guitarSolo.wav');
pause();
histograma('english.txt');
calculaEntropia... |
phi_rank
m_adjust_profile=zeros(Nradial,1);
m_guess=q_initial_profile(pTAE_inf-1)*nTAE;
% if (DOM_M<2)
% m_adjust_profile1(pTAE_inf-1)=nTAE-mtheta1;
% m_adjust_profile2(pTAE_inf-1)=nTAE-mtheta2-DOM_M;
% else
% m_adjust_profile1(pTAE_inf-1)=nTAE-mtheta1+1;
% m_adjust_profile2(pTAE_inf-1)=nTAE-mtheta2;
%... |
function sample_registration(input_folder_path, number_of_frames, output_folder_path, output_file_name, ref_image)
%% This function provides a sample to use QCHR(Lam et. al. 2013) to register a reference frame against all other frames and calculate the Beltrami Descriptor. Note that this function does not automatical... |
fid = fopen('tmp');
path = fgetl(fid);
src = double(dicomread(path));
src = src/max(max(src));
src = imresize(src,[504 504]);
imwrite(src,'input.jpg'); |
clear all; % close all;
addpath('.\jpegtbx_1.4');
%% Read an image from above Folder %%
% %% Double Compressed Image (JPEG) %%
% srcDCJpg = dir('.\DCMISALLIGN\*.jpg');
% img_num = 5;
% img_name = strcat('.\DCMISALLIGN\',srcDCJpg(img_num).name)
% img_Ycbcr = rgb2ycbcr(imread(img_name));
% img_Y = img_Ycbcr... |
clc;
clear;
close all;
% cd /project/compbioScratch/Zhuliu/LUNG_mESC_data
load mESC_data.mat;
%% prepare data, convert label to matrix
% working on sub labels in serum
serum_data = log10(data(:, 455:end)+1);
serum_data_copy = data(:, 455:end);
serum_label = SID_class_label(455:end,:);
[m, n] = size(serum_da... |
classdef cCompositeArea_YSymm < cCompositeArea
%This class takes only the upper or lower half of composite area
properties (Access = private)
ind_vec
end
methods(Static)
function d=Qy(~)
d=0;
end
function f=z_bar(~)
f=0;... |
function v = rtd(X)
% Dc RTD output
% R1 R2 R3 R4 R5 R6 R7 R8 R9 RT E1
% 1 2 3 4 5 6 7 8 9 10 11
%
Y=4; % N = 0, U = 4, and M = 1 not required for dc.
%
% The following adds to execution time, but is given for clarity.
%
R1=X(1);R2=X(2);R3=X(3);R4=X(4);R5=X(5);R6=X(6);R7=X(7);
R8=X(8);R9=X(9);RT=X(10... |
function OutputVector = BreakPointCheck1(X,eDims,tsteps)
%NN1
breakpoints = zeros(length(tsteps),1);
for tsteps_step = 1:1:length(tsteps),
timestep_of_interest = tsteps(tsteps_step);
for Estep = 1:1:length(eDims),
[distance,timesteps,weights] = NNcheck(X,eDims(Estep),1);
if( Estep == 1 ),
... |
function test_unprincipal
epsilon=1e-5;
alpha=[0 pi/8 pi/4 3*pi/8 pi/2 5*pi/8 3*pi/4 7*pi/8 pi -pi/8 -pi/4 ...
-3*pi/8 -pi/2 -5*pi/8 -3*pi/4 -7*pi/8 -pi];
a=0.14645;
b=0.85355;
c=0.35355;
% Test for S1=1, S2=0
S1=1;
S2=0;
for ii=1:length(alpha)
[s11(ii), s22(ii), s12(ii)] = unprincipal(S1, S2, alpha(ii))... |
% function [evec] = solveSystem(W,D)
% finds the second to smallest eigenvector,
function [evec,allevecs] = solveSystem(W,D)
Dinv = sqrt(inv(D)); % diagonal - so just dinv_ii = 1/d_ii .. this is a quick way to do that..
M = Dinv * (D - W) * Dinv; % system to decompose, minimizes the Rayleigh quotient.
image(M*256... |
function [out] = Print_Escala()
%% Print_Escala
% Imprime la escala en pantalla y guarda la frecuencia de las notas en una
% matriz de 12x9 (notas x Nš_de_octava)
%% Constantes
P = nthroot(2,12); % Relacion entre notas
P0 = 13.75 * P^(-9); % Primer nota que detecta (DO_-1 = LA_-1 - 9)
notas = char('D... |
%% Choix fonction
boolf=0;
%%%%%%% CHOIX CONTRAINTE %%%%%%%%%%%%%%
while (boolf==0)
prompt='Contrainte h1 ou h2 ? (h1 pour f1, h2 pour f2) : ';
fonc=input(prompt,'s');
switch fonc
case 'h1'
[h, grad_h, hess_h]=contrainte(1);
boolf=1;
c... |
clc, clear all, close all;
points_num = 10000;
points_3d = [100 0 0; 0 100 0; 0 0 100]*rand(3,points_num) + [-50;-50;50];
center = [0;0;100];
K = [568.996140852000,0,643.210559410000;
0,568.988362396000,477.982801038000;
0,0,1];
%% 初始化（虚拟了SIFT）
% 随机生成相机姿态 视线方向对象点云中心
R1 = eye(3); t1 = zeros(3,1);
[R2,t2] = gene... |
function [ Cf, St ] = developed_flow( Re, Pr, shape )
%Compute friction factor and Stanton number from Reynolds and Prandtl
%numbers
if strcmp(shape,'circular')
% Set coefficients for circular pipe
aL = 16.0;
bL = 4.36;
else
error('not implemented')
end
% Set laminar to turbulent transition points
R... |
function [ minArr ,maxArr, NoOnes] = mini_max_dist( skelImg )
%MINI_MAX_DIST returns average of min Max algo.
% Detailed explanation goes here
NoOnes=zeros([1 20]);
maxArr=zeros([1 20]);
minArr=zeros([1 20]);
for index=1:20
ones1=find(skelImg(10*index,:)==1);
sizeOnes=size(ones1,2);
if(sizeOnes >1)
... |
function z=MA_default_states(Y)
NA = 6.0221415e23; % Avogadro (molecules in a mol)
V = 1e-14; % Cell volume
NAV = NA*V/1e9; % For concentration in nM
z.z0 = zeros(30,1);
z.z0(1) = max(Y(1,:))/NAV;
z.z0(2) = max(Y(2,:))/NAV;
z.z0(3) = max(Y(3,:))/NAV;
z.z0(4) = max(Y(4,:))/NAV;
z.name{1}='P1';
z.name{2}='P2';
z.na... |
function [clustIm,LrwList,eVals,avClusts] = spectAvs(avList,k,sigma,NN,fullIm)
wM = NNSort(avList,sigma,NN);
Lrw = speye(length(avList)) - sparse(1:length(avList),1:length(avList),1./sum(wM))*wM;
%Moved up to 10, used to be 3
[LrwList, eVals] = eigs(Lrw, 10, 'sr');
%Normalizing the eVects to avoid outliers
for i = ... |
% From angles to prototype
clc
clf
close all
clearvars
%% Prototype filter parameter definition
M = 16; % M channels for the FB, and 2M polyphase components for the prototype filter
m = 1; % m taps for each polyphase component
N = 2*m*M-1; % The order of the prototype filter
%% Optimization definition
the... |
% np003A.m
% Physics of Neurones
% [1D] Dynamical Models: EXAMPLES
% CELL 1: Phase Portrait Plot
% Define function in CELL 1
% CELL 2: Time Evolution of State Variable: Solve equation of motion
% Define function in CELL 4 at end of Script
% CELL 3: Bifurcation Diagram
% CELL 4: Define fu... |
load('params.mat');
Lambda_k_M = A_k_M'*A_k_M;
f_h_dir = F_h' / ( F_h*( eye(N) - A_k_M/Lambda_k_M*A_k_M' )*F_h' ) *F_h*A_k_M/Lambda_k_M*alpha;
f_h_dir= f_h_dir / norm(f_h_dir);
mu_alphat_delta_k_dir = alpha' / Lambda_k_M * A_k_M' * f_h_dir;
lambda_k_dir = f_h_dir' * ( eye( N ) - A_k_M / Lambda_k_M * A_k_M' ) * f_h_di... |
function PWP(met_input_file, profile_input_file, pwp_output_file)
% function PWP(met_input_file, profile_input_file, pwp_output_file)
% MATLAB version 1.4 (8 Oct 2001)
% This main program is used to drive the pwp subroutine (pwpgo)
% with a daily cycle of heating, or, an arbitrary (observed) time
% series of su... |
function tap_delay = tapped_delay_fcn(input)
% The Tapped Delay function delays its input by the specified number
% of sample periods, and outputs all the delayed versions in a vector
% form. The output includes current input
% NOTE: To instruct Embedded MATLAB to compile an external function,
% add the following co... |
function answer=question_dialog_fig(main_figure,tt_str,str_quest,varargin)
p = inputParser;
addRequired(p,'main_figure',@(h) isempty(h)|isa(h,'matlab.ui.Figure'));
addRequired(p,'tt_str',@ischar);
addRequired(p,'str_quest',@ischar);
addParameter(p,'default_answer',1,@isnumeric);
addParameter(p,'opt',{'Yes' 'No'},@isc... |
function [fixRes, SD_Res2, SD_Res3] = plotStimTestResults(ra, varargin)
% RelAbs.plotStimTestResults
%
% Description: plot results of ra.testStimFeat
%
% Syntax: [resSD, resFix] = ra.plotStimTestResults()
%
% In:
% <optional>
% testRes - <[]> a structure of results from ra.testStimFeat
% groupPlots - <tr... |
close all
clear
load bc_source
global ubc
num = 2000; % Number of samples
for i = 1:num
ubc = f_bc(i, :);
model = createpde('structural','static-planestrain');
radius = 0.25;
R1 = [3, 4,0,1,1,0,0,0,1,1]';
C1 = [1,0.5,0.5,0.25]';
C1 = [C1;zeros(length(R1) - length(C1),1)];
gm... |
function y = wrapPhase(phalims, x)
% y = WRAPPHASE(phalims, x)
%
% inputs
% - phalims: 1x2 array, with min/max phase limits.
% - x: phase (in the same units as phalims).
%
% outputs
% - y: x wrapped (bounded) between phalims.
%
% Wraps phase values (x) between the limits given by phalims.
% Matlab... |
function [predictions, theClassifierEngine, responses] = computePerformanceRecon(nullScene, testScene, ...
temporalSupport, nTrain, nTest, theNeuralEngine, theClassifierEngine, trainNoiseFlag, testNoiseFlag, oneSided)
% Compute performance of a classifier given a null and test scene, a neural engine, and a classifi... |
function [udot_0, udotdot_0] = ThirdOrder(u_4,u_3,u_2,u_1,u_0,dt)
udot_0 = 1/6*(11*u_0-18*u_1+9*u_2-2*u_3)/dt;
udotdot_0 = 1/12*(35*u_0-104*u_1+114*u_2-56*u_3+11*u_4)/dt/dt;
|
function [bool]=verificacionGYPANHDOL(x,y)
[x1 y1 x2 y2 x3 y3]=cteGYPANHDOL;
bool=triangulo(x1,y1,x2,y2,x3,y3,x,y);
end
|
% create Guassian Kernel Matrices where \tau in [-10,10]
function flag=gaussian_kernel(data_name, label_vector, instance_matrix)
tau = -10:1:10;
sample_n = size(instance_matrix,1);
for t=1:length(tau)
norms = sum(instance_matrix'.^2);
K = exp((-norms'*ones(1,sample_n) - ones(sample_n,1)*norm... |
function drawLines()
img_name = '00840';
img = imread([img_name '.jpg']);
for i = 1 : 4
lane_img = imread([img_name '_' num2str(i) '_avg.png']);
%imshow(lane_img);
lane_img = imresize(lane_img, 1638/800);
[x, y] = find(lane_img > 100);
for j = 1 : size(x)
... |
function res = isIntersectInterval(I,target_I)
% check an interval matrix inside interval matrix
%
% Syntax:
% res = isIntersectInterval(I,targetSet)
%
% Inputs:
% I - interval matrix
% target_I - interval matrix
%
% Outputs:
% res - indicate the interval is inside/outside/intersect
% res = 0: I outside... |
function autobeadfind(image, smp)
if nargin==0
image=normalize(imread('00008153.jpg'));
%smp = imread('00008153-s.jpg');
smp = imread('00008153-nc.jpg'); % badly centered
smp=normalize(smp(:,:,1));
end
image = image-mean(image(:));
image = makepowerof2(image);
s = si... |
function GE = selectNGenes(N, Gene_Expression, ~)
if ~exist('Gene_Expression','var')
fprintf('Loading the database.\n');
load('GE.mat');
end
assert(N <=size(Gene_Expression,2));
[~,select] = sort(std(Gene_Expression),'descend');
select = sort(select(1:N));
GE = Gene_Expression(:,select);
end |
function list_sounds
sounds = {
'heat'
'hot'
'hut'
'hoot'
'dog'
'mice'
'fame'
'heat'
'hot'
'hut'
'hoot'
'dog'
'mice'
'fame'
'heat'
'hot'
'hut'
'hoot'};
for i = 1:numel(sounds)
fprintf('%d %s\n', i ,sounds{i});
end
end |
function [G_J, c_J] = Jacobi_factorization(A, b)
N = diag (diag (A));
P = N - A;
inv_N = inv (N);
# contruiesc matricea si vectorul de iteratie
G_J = inv_N * P;
c_J = inv_N * b;
endfunction
|
function [returnPowerB, returnPowerR] = laserOff(args)
returnPowerB = zeros(1,8);
returnPowerR = zeros(1,8);
|
function rgbSpace = split(target)
R = target(:,:,1);
G = target(:,:,2);
B = target(:,:,3);
[row,col,~] = size(target);
Rr = reshape(R,1,row*col);
Br = reshape(B,1,row*col);
Gr = reshape(G,1,row*col);
rgbSpace = [Rr;Br;Gr];
return |
clc;clear;close all;
root_dir = '../../results-plots/19-03-19/hyperparameters/';
num_files = size(dir(root_dir),1);
pause_time = 0.1;
for index = 16
filename = strcat(root_dir, int2str(index), '.mat');
load(filename);
% if not(and((hp.destination(1,1) > 0), (hp.destination(2,1) < 0)))
% continue
% ... |
x = [4 6 8 10 12];
y = [
0.004852
0.002900
0.003274
0.003093
0.005837
];
plot(x,y);
title('Fungsi 2 tn');
xlabel('-log(tol)');
legend('Waktu(s)'); |
function [f0, timeInSec] = myPitchTrackMod1(x, blockSize, hopSize, fs)
%% Blockwise Pitch Tracking based on a modified approach
% Input:
% x: (N x 1) float vector, input signal
% blockSize: int, block size of the blockwise process
% hopSize: int, hop size of the blockwise process
% fs: flo... |
%这段代码的作用是将原始的CSV数据文件的最后一行拿出来
%从中随机取出来十分之一的数据存成了CSV文件
filename = 'density.csv';
data = csvread(filename, 0, 3);
data = data';
index = randperm(length(data), 5528); %length(data) = 55280
final_data = data(index);
csvwrite('density_out.csv', final_data);
|
function [ R ] = matdownsample( R, val )
R_n = downsample(R',val);
R = downsample(R_n',val);
end
|
function [xdfb,tau] = IDfb( model, xfb, q, qd, qdd, f_ext )
% IDfb Floating-Base Inverse Dynamics (=Hybrid Dynamics)
% [xdfb,tau]=IDfb(model,xfb,q,qd,qdd,f_ext) calculates the inverse dynamics
% of a floating-base kinematic tree via the algorithm in Table 9.6 of RBDA
% (which is really a special case of hybrid dynam... |
## Copyright (C) 2016 thiago.basso
##
## Author: thiago <thiago.basso@gmail.com>
## Created: 2016-09-25
function [vetor] = InsertionSort (vetor)
for j=2:length(vetor)
chave = vetor(j);
%inserir vetor(j) na sequencia ordenada vetor(1..j-1)
i = j-1;
while i>0 && vetor(i)>chave
vetor(i+1) = vetor... |
function result=Discretization(result)
%% ÀëÉ¢»¯tÓëE
global min_delta_t nu W;
h=6.62607*10^-34;
E_photon=h*nu;
for x= W(1):W(2)
for y = W(3):W(4)
result{x,y}(:,1)=min_delta_t*ceil(result{x,y}(:,1)/min_delta_t);
result{x,y}(:,2)=floor(result{x,y}(:,2)/E_photon);
T=unique(result{x,... |
function [TP,TN,FP,FN,oob] = classifier(Train, Test, nTrees_vec,nPCA)
% Input: training data (train.X,train.y)
% test data (test.X, test.y)
% nTrees_vec (number of trees)
% Output: rate_TP,rate_TN
n_iter = length(nTrees_vec)
rate_TP = zeros(n_iter,1);
rate_FN = zeros(n_iter,1);
rate_TN = zeros(n_iter,1... |
%% 基于C-SVM算法的螺纹钢主力合约交易模型(R) 作者：张宇霖
% Modified by 李洋faruto 2014.06.01
% 支持向量机( Support Vector Machines, SVM)是近几年来应用于建模的一种新的学习方法
% 与传统经网络相比,支持向量机算法最终将转化为一个二次型寻优问题,从理论上讲得到的将是全局最优点,
% 解决了在神经网络中无法避免的局部极小值问题。
%
% 本篇报告旨在运用SVM模型系统对以螺纹钢期货主力合约进行动态的回测检验，目的是为了检测
% SVM算法在商品期货中进行价格推演和预测的可行性。
%
% 本报告所涉及的SVM算法来自于台湾大学林智仁先生的libs... |
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