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% Skeleton code for simulation chain
% History:
% 2000-06-28 written /Stefan Parkvall
% 2001-10-22 modified /George Jongren
% 2012-02-13 modified /Daniel Anfelt
%clear all
clc
close all
% Initialization
tic
EbN0_db = 10;%:1:-0; % Eb/N0 values to simulate (in dB)
nr_bits_per_symbol = 2; ... |
clc;
close all;
clear all;
%1.1
ezplot('x^5-8*x^3+10*x+6',[-3,3]); %grafica de la funcion
hold on;
%1.2 Max y min = las raices de la derivada
f = @(x) x^5-8*x^3+10*x+6;
g = @(x) 5*x^4-24*x^2+10;
h = @(x) 20*x^3-48*x;
puntosCriticos = double.empty;
for i = linspace(-3,3,100)
x = i;
alfa = 1;
delta = 1;
... |
%% Adaptive Maximum Entropy (AME)
% Liu, Haitao, et al. "An adaptive Bayesian sequential sampling approach for global metamodeling."
% Journal of Mechanical Design 138.1 (2016): 011404.
function x_new = AME_function(obj,A,strategy)
% Details: Starting function for AME sampling.
%
% inputs:
% obj - Ordinary kriging clas... |
function p = pdfTLambda(t, lambda, kappa, b, m)
% Joint density of postsyn. ISI and presyn. rate
% Note the difference between this implementation and Eqns. 13 & 32 of Berger &
% Levy 2010: m is assumed to be a real number (rather than an integer) no less than 1.
% Xin Wang <xinw@salk.edu>
% Copyright 2014, CNL-S, ... |
function pixel = compute_color( ray )
%COMPUTE_COLOR Summary of this function goes here
% Detailed explanation goes here
fog = [0.82, 0.935, 1];
fog = [1, 1, 1];
% camera transform
ray(2) = ray(2)+1;
ray(3) = 0.35;
% materials
mats = [1, 1, 1;1, 0.7, 0.4; 0.25, 0.96, 0.43; 0.325... |
function [row, col] = getHarrisCorners(image)
k = .04;
window_size = 9;
threshold = 500000;
g = gausswin(window_size.^2);
% Convert to grayscale if RGB
if(isRgb(image))
gray = rgb2gray(image);
else
gray = image;
end
% Gradient Kernels
dx = [-1 0 1];
... |
function f=sensfig(wfstruct,cats,cases)
% function f=sensfig(wfstructs,cats,cases)
% wfstructs is a cell array of 2- or 3-element wfstructs, containing base and
% sensitivity (optionally sensitivity low and high or somesuch). Each item
% results in a bar on a sensitivity subplot. 'cats' is a vector of indices in... |
function resetVideoPlayer(handles)
% statusText could be toTerminate / Finished
% stopTimer(handles);
setPlayerStatus(handles, 'Terminated');
setappdata(handles.videoSlider, 'isReset', true);
% reset slider first, then change video frame
slider2Video(handles, 0);
set(handles.numFrameInd, 'String... |
function Sys = CalcDoFsNumber(Sys, Mesh)
Sys.NDOFs = Mesh.NNODE + Mesh.NSPIG*(Sys.pOrd-1) + ...
Mesh.NELE*(0<(Sys.pOrd-2))*(Sys.pOrd-2)*(Sys.pOrd-1)*.5;
Sys.NDOFv = Sys.pOrd*Mesh.NSPIG*(1 + (Sys.pOrd>2)) + ...
2*Mesh.NELE*(Sys.pOrd>1)*(Sys.pOrd-1);
end |
classdef AnnoteLogger < log4m
% ANNOTELOGGER
%
% DESCRIPTION:
%
%
% SYNTAX:
%
%
% INPUTS:
%
%
% OUTPUTS:
%
%
% COMMENTS:
%
%
%@
% Copyright 2016 The Johns Hopkins University Applied Physics Laboratory
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associ... |
clear; close all; clc;
R = [0.75e-3, 0.5e-3, 0.25e-3]; % m
E0 = [2e5, 4e5, 6e5, 8e5]; % v/m
QdrMat = zeros(length(E0), length(R));
Meek0Mat = zeros(length(E0), length(R));
QdrMatmorrow = zeros(length(E0), length(R));
Meek0Matmorrow = zeros(length(E0), length(R));
h = fzero( @(h) satm(h)-0.4, 8); % find the altitud... |
if ismember('/odom', rostopic('list'))
odom_sub = rossubscriber('/odom');
end
turtelbot3 = receive(odom_sub);
% plot laser data
tic;
i = 0;
yaw = [];
while toc < 1000
turtelbot3 = receive(odom_sub,0.5);
% robot_Orientation = [turtelbot3.Pose.Pose.Orientation.W, turtelbot3.Pose.Pose.Orientation... |
function [ngbvs, nverts] = obtain_1ring_curv_NM...
( vid, edges, sibhvs, v2hv, varargin) %#codegen
%OBTAIN_1RING_CURV Collect 1-ring vertices on non-manifold mesh.
% [NGBVS,NVERTS] = OBTAIN_1RING_CURV_NM(VID,EDGS,SIBHVS,V2HV) Collects 1-ring
% vertices and edges of a vertex and saves them into NGBVS and NGBES.
%... |
function con=con_fun(x,varargin)
con=[0];
return
|
function [SelectSlices] = slices_with_pixel_selection(Patients)
%% Read Annotated and Original Images
SelectSlices = [];
NumPos = 30;
NumNeg = 300;
for p = 1:length(Patients)
PatientImgs = BrainImage_pid(Patients(p));
index = randsample(length(PatientImgs),min(length(PatientImgs),5... |
function [status_read,status_Set,Err,B] = NE_Out(opwr,feedback)
% opwr should be 1*13 size
% feedback should be 'On' or 'Off'. If 'On', Err = real EDFA output -
% desired output (dB). If 'Off', Err is empty.
B = {};
folderpath = 'Z:/';
topo = [...
9103, 1, 9103, 1, 9109, 1;
9108, 1, 910... |
classdef EllipticProblemAssembleFinalStiffMatrix3d < SWEBarotropic3d
%ELLIPTICPROBLEMASSEMBLEFINALSTIFFMATRIX3D 此处显示有关此类的摘要
% 此处显示详细说明
properties
StiffMatrix
ChLength = 20
ChWidth = 20
Depth = 3.2
SurfaceBoundaryEdge... |
%% Plot sweby diagrams
% number of points
N = 1000;
% compute flux limiting functions for a range of methods
theta = linspace(-1, 5, N);
upwind = zeros(N,1);
laxwendroff = ones(N,1);
beamwarming = theta;
fromm = 0.5*(1+theta);
minmo = minmod(1, theta);
superbee = max(0, max(min(1,2*theta), min(2,theta)... |
%crreated by Sina BaniasadAzad
close all
clear
clc
%create the matrix
a = randi([0 127], 256, 256);
%converts the matrix into image
k = mat2gray(a);
min_image = min(k(:))
max_image = max(k(:))
%Image display
figure
imshow(K)
|
function f = GA_solution_short_route(x,x_start,y_start,x_goal,y_goal,obstacle,square)
obs = [obstacle; [NaN NaN]; square];
prev = [x_start y_start];
polyline = prev;
for i=x
point = [prev(1)+cos(i) prev(2)+sin(i)];
polyline = [polyline; point];
prev = point;
e... |
%% MECH 6710 Homework 1 - Part 1
% Position analysis of mechanism 4-1
clear; clc;
phi = 0; % deg
%% Problem Constraints
AB = 0.09; % m
BC = 0.40; % m
CE = 0.25; % m
CD = 0.12; % m
EF = 0.21; % m
a = 0.22; % m
b = 0.35; ... |
%% Stelling 4
%
% Met de functie randn() produceer je alleen negatieve
% willekeurige getallen.
%
Antwoord = NaN; % vul hier het juiste antwoord in 1 (WAAR) of 0 (ONWAAR)
|
function idx = findClosestCentroids(X, centroids)
K = size(centroids, 1);
idx = zeros(size(X,1), 1);
% ----- %
m = size(X,1);
for i = 1:m,
minDistance = 10^6; % randomly chosen large enough value
for j = 1:K,
distance = sum((X(i,:) - centroids(j,:)).^2);
if distance < minDistance,
minDista... |
clear all; close all; clc;
Train = load('train.txt');
Test = load('test.txt');
pcs = 64; %choose number of principal components
C = cov(Train(:,2:end)); %find covariance matric
MU = mean(Train(:,2:end))';
[V,D] = eig(C);
%Take the principal eigenvectors
E = V(:,end-pcs+1:end);
% from each observation... |
function [ V,S,K_STDP,K_inh ] = conv_step2( S,V,s,w,stride,th,K_STDP,K_inh )
global STDP_time_post %抑制性STDP作用时间，后神经元先发出脉冲，前神经元后发出脉冲，导致权值下降
%UNTITLED2 此处显示有关此函数的摘要
% 此处显示详细说明
[~,~,Ds]=size(s);
[H,W,~]=size(V);%下一层的总深度D DD=Ds*WD
[HH,WW,WD]=size(w);
ks=0;
for k=1:WD %一层一层的来 s每一层与权值矩阵的一层进行卷积，得到Ds层数据
conv_co... |
% Reads a curve-skeleton stored in Oscar Au skeleton extraction by mesh
% contraction format into a curve structure S
function S = curve_read_auskeleton(filename)
% Open file
fid = fopen(filename);
if fid == -1
error(['ERROR: could not open file "' filename '"']);
end
TEMP = textscan(fid, '%f', 1);
S.vertices = z... |
function cao_m(data,min_m,max_m,tau)
%该程序用Cao氏法计算时间序列的嵌入维数
% clc
% clear
% load stock
% data=x; % data为原始数据,列向量，n行1列
min_m=1;
% max_m=10;% min_m,max_m分别为最小和最大嵌入维数
% tau=2; % tau为时间延迟
% 作者:Adu,武汉大学,adupopo@163.com
[E1,E2]=cao_old(data,min_m,max_m,tau);
n=length(E1);
plot(1:n,E1,'-bs',1:n,E2,'-r*');xl... |
clear;
clc;
data = csvread('feature_review_training-20000.csv',1,1);
test = csvread('feature_review_testing-20000.csv',1,1);
data = data(1:1000,:);%length(data),:);
test = test(1:1000,:);
% Labels
% review_id true_stars word_count word_cap_count text_polarity biz_stars biz_review_count usr_avrstars u... |
%testni primeri
% c = 1/2;
% f1 = @(x)f(x);
% g = @(x) 0.*x;
% h = @(x) 0.*x;
% T = 1;
% a = 0;
% b = 1;
% dt = 1/100;
% dx = 1/10;
% th = 1/2;
%
% x = [a:dx:b];
% y = [0:dt:T];
% [X,Y] = meshgrid(x,y);
% [ U,lam ] = resiToplotnoDif(c,f1,g,h,T,a,b,dt,dx,th);
% surf(X,Y,U)
%test2
% c = 1/2;
% f1 = @(x)f(x);
% g = ... |
function plotCCG(t, assignment, varargin)
% Plot cross-correlograms of all pairs
% parse optional inputs
p = inputParser;
p.addOptional('clusters', ':', @(x) isnumeric(x) || ischar(x) && isequal(x, ':'));
p.addOptional('binsize', 1, @(x) isnumeric(x) && isscalar(x) && x > 0);
p.addOptional('maxlag', 30, @(x) isnumeric... |
function [valid, algorithmStr, infoStruct] = loadSignalExtractionSorting(inputFilePath,varargin)
% [valid,algorithmStr,infoStruct] = loadSignalExtractionSorting(inputFilePath,varargin)
%
% Loads manual or automated (e.g. CLEAN) sorting..
%
% Biafra Ahanonu
% started: 2022.05.31 [20:14:54] (branched from modelVa... |
function phaseout = gpops_Continuous( input )
phase_num = input.auxdata.phase_num;
xf = input.auxdata.xf;
dt = input.auxdata.dt;
for j = 1:phase_num
x_1 = input.phase(j).state(:,1);
x_2 = input.phase(j).state(:,2);
p = input.phase(j).parameter;
... |
function [wi_1, wi_2, wo_1, wo_2, du_1] = UpdateBPWeights(xi, E, Epid, K, Oh, H, Out, wi_1, wi_2, wo_1, wo_2, du, du_1)
xite=0.20;
alfa=0.05;
I=xi*wi_1';
dyu = sign(prod(E)./(du-du_1+0.0001));
%Output layer
for j=1:1:Out
dK(j)=2/(exp(K(j))+exp(-K(j)))^2;
end
for l=1:1:Out
delta3(l)=sum(E)*dyu*Epid(l)*dK(l);
end... |
% UserDataContainer Helper class to implement user data and comments.
%
% Backend IRIS class.
% No help provided.
% -IRIS Macroeconomic Modeling Toolbox.
% -Copyright (c) 2007-2017 IRIS Solutions Team.
classdef UserDataContainer
properties %(GetAccess=public, SetAccess=protected, Hidden)
UserDa... |
function [ fit_index ] = get_pareto( f_results )
%GET_PARETO Summary of this function goes here
% Detailed explanation goes here
N = size(f_results, 1);
b = zeros(1,N);
fit_index = zeros(1,N);
for i = 1:N
for j = 1:N
if ((i~=j) && ((f_results(i,1) > f_results(j,1)) && (f_results(i,... |
function [Iout, Zout] = hierarchical_compensation_weighted(Iv, Zv, levels)
minZ = min(Zv(:));
maxZ = max(Zv(:));
Iv(repmat(isnan(Zv), [1 1 3])) = nan;
Zv(isnan(Iv(:,:,1))) = nan;
%W{1} = single(~isnan(Zv));
Wx = single((Zv-minZ)/(maxZ-minZ));
Wx(isnan(Wx)) = 0;
I{1} = single(Iv).*repmat(Wx, [1 1 3]);
I{1}(isnan(I{1})... |
%%enregistrement d'un signal
clear;
[kk,vv]=recorder('B1');
%[zr,ste,frame]=STE_ZRC(kk,10,8000);
figure(1)
subplot(2,1,1)
spectrogram(kk,hann(4),'yaxis');
subplot(2,1,2)
plot(kk)
%% variable
L_sec = 0.025; % --- analysis window length in seconds
STEP_sec = 0.010;
sr_h... |
X = imread('yoo2.jpg');
X = imshape('yoo2.jpg');
imshow(X);
r_pixels = reshape(X(:,:,1),1,[])'; %reshapes into a column vector
g_pixels = reshape(X(:,:,2),1,[])';
b_pixels = reshape(X(:,:,3),1,[])';
RGB_vec = {r_pixels, g_pixels, b_pixels};
numofPixels = size(r_pixels,1);
random_sample = round(rand(1, 8000)*nu... |
config;
postfix = '_s';
proto_dir = './models/%s%s/';
proto_dir = sprintf(proto_dir, model_name, postfix);
proto_file_tr = '%strain.prototxt';
proto_file_ts = '%stest.prototxt';
if use_pairwise
proto_file_ts = '%stest_ip.prototxt';
end
proto_file_tr = sprintf(proto_file_tr, proto_dir);
proto_file_ts = sp... |
function [nbour_results, time_taken_eval] = evaluate_neighbours(job_alloc, ...
nbour_combos, k_exch, num_machines, cost_pm_matrix)
% Time each evaluation step and accumulate in the solver script to see
% how long we're spending on evaluation nbours
start = tic;
nbour_results = [];
[max_val, loaded_mach] = max(cos... |
function [ signal_const ] = Initialize_Signal_Constellation(n, dim, a, P)
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%... |
function [terminals,terminal_links] = findEndEffector(obj, joints)
% Determines the end effector link of an array of rigid joints
%
% The end-effector link is the link that is not a parent link of any joints.
%
% Parameters:
% joints: an array of rigid joints @type RigidJoint
%
% @note i... |
function [params,llk,Mle]=Exp1_gibbs(allResp,allTarg,allRep,allPrev,center,numBurn,numSamps,init,probPrior,envrad)
% Run Gibbs sampler on data
% 4.8.2014-Created
numTotal=numBurn+numSamps;
Mle=nan(10,13,size(allResp,1),numTotal);
%% Initialize priors and data structures
params=nan(numTotal,5); % sd, targ, miss
params(... |
%%
clear;
close all;
sim('hevmpc.slx');
%% Drive Cycle
fig = figure; %#ok<*NASGU>
plot(t,x_tot);
title('Total Distance x_{tot}');
xlabel('Time [s]');
ylabel('x_{tot} [m]');
fig = figure;
plot(t,v*3.6);
title('Vehicle Speed v');
xlabel('Time [s]');
ylabel('v [km/h]')
fig = figure;
plot(t,dv);
title('Vehicle ... |
function xyz = mth_os2cart(e, a, lambda, eta)
% MTH_OS2CART comptues Cartesian coordinates given oblate spheroid
% coordinates. This version treats the semimajor axis as one of the
% OS coordinates.
%
%-----------------------------------------------------------------------
% Copyright 2020 Kurt Motekew
%
% This Source... |
function [] = parseBinn16(data)
imageId = typecast(data(1:2), 'uint16');
packetId = uint16(data(3));
fileName = [int2str(imageId) '_4'];
image = openFile(fileName);
if ((size(image.data, 1) ~= 16) || (size(image.data, 2) ~= 16))
image.data = -ones(16, 16);
end
image_r... |
function [ NUM, DEN K] = OutPutFilter( Wp, Ws, Rp, Rs )
%OutPutFilter Return the
% Returns the transfer function coefficients of an nth-order lowpass digital elliptic filter
% with normalized passband edge frequency Wp
[N, Wc] = ellipord(Wp, Ws, Rp ,Rs);
[NUM, DEN, K] = ellip(N, Rp, Rs, Wc);
end
|
function[]=tvl2min
% This program solves the TV-L2 minimization problem, i.e.,
% 1/(2 \lambda) ||u-g||_{-1}^2 + \int_\Omega |\nabla u| dx
% via the projection algo of Chambolle, i.e., the minimizer u is given by
% u = g - [-\Delta ( \Pi_{\lambda K}(\Delta^{-1} g) )]
% by Carola-Bibiane Sch�nlieb
% Retrieved May 2016, K... |
%% EX 1.1
%% EX 1.2
% 1.2 a)
load sunspot.dat
x = sunspot(:, 2);
xMean = x - mean(x);
xDetrend = detrend(x);
logX = log(x+eps);
logXmean = logX - mean(logX);
[PSDmean,f1] = periodogram(xMean,hamming(length(xMean)),[],1);
[PSDdetrend,f2] = periodogram(xDetrend,hamming(length(xDetrend)),[],1);
[PSDlog,... |
x = [];
y = [];
fileid=fopen('input.txt','r');
data = textscan(fileid, '%f %f');
x(1:numel(data{1}), 1) = data{1};
y(1:numel(data{2}), 1) = data{2};
fclose(fileid);
prompt = 'Enter the degree ';
m = input(prompt);
leastsquare(x,y,m);
|
function coeff_sum = sum_poly_coeff(x1, x2)
x1_order = length(x1);
x2_order = length(x2);
if x1_order > x2_order
max_order = size(x1);
else
max_order = size(x2);
end
new_x1 = padarray(x1,max_order-size(x1),0,'pre');
new_x2 = padarray(x2,max_order-size(x2),0,'pre');
coeff_sum = new_x1 + new_x2;
return
end
|
% Spectral Roloff: Es la frecuencia en la cual se concentra el 85 porciento
% de la magnitud de la distribucion
function rol = spRoloff(v_stft)
rol = find(cumsum(v_stft) >= .85*sum(v_stft), 1);
% cumsum suma los valores hasta la posicion (cs[1] = v[1], cs[2] =
% v[1]+v[2] ...) por lo que lo que se hace es encontrar... |
function d = oval(angle, X, Y, R)
% d = oval(angle, X, Y, R)
% Returns the radial diameter for input angle(s) of an oval with
% side lengths of X and Y, and a corner radii of R
%
% Peder Larson, 6/28/2006
if (R > min(X/2,Y/2))
error('Corner radius is too large (must be less than half the minimum side length)')
e... |
% Calculate False positive(FP) indicator
% I_Out and I_Mask must be logical
function FP_rate = FP_calculation(I_Out,I_Mask)
% I_Out = ones(10,10) > 0;
% I_Mask = (randi(2,10,10)-1) > 0;
unit_region = I_Out | I_Mask;
numerator = sum(sum(unit_region - I_Mask));
denominator = sum(sum(I_Mask));
FP_rate = numerato... |
function [comp1_1, comp_1,prob] = huff_enc2(A)
rem = mod(numel(A),8);
add_val = [ zeros(1,8-rem),de2bi(8-rem,8,'left-msb')];
comp2 = [A;add_val'];
y = reshape(comp2,[8,numel(comp2)/8]);
y = bi2de(y','left-msb');
yG = prob_find(y);
prob = yG (2,:);
comp_1 = huffmandict(yG (1,:),yG (2,:));
l = cell(numel(comp_1)/2,1);
fo... |
% ReadTannerGraph.m
%
% Author: Hatef Monajemi
% Date: Oct 26 2012
%
% Description:
% This program reads the *.txt file that
% is generated by the PEG code of Hu .
% Example of use:
% A = ReadTannerGraph('RegGraph.txt')
% A is a sparse matrix.
function A = ReadTannerGraph(fname)
fid = fopen(fname,'rt');
N = t... |
function ea = average_deviation_wavelet(e,ind)
%
% AVERAGE_DEVIATION_WAVELET: computes the amplitude per subband in steerable wavelet
%
% Given a set of steerable pyramid vectors (columns on the matrix "e"), each
% with a subband structure described by the matlabpyrtools parameter "ind",
% the equivalent set of ... |
classdef HexapodSimulator < matlab.apps.AppBase
% Properties that correspond to app components
properties (Access = public)
UIFigure matlab.ui.Figure
UIAxes matlab.ui.control.UIAxes
XSliderLabel matlab.ui.control.Label
XSlider matlab.ui.control... |
function [ mato,err,errmsg ] = conc( snpi1,snpi2)
%%function conc() links 2 SNPI by transforming them to TNP, then
%%Mult them together. followed with T to S conversion.
% Input variables:
% snpi1,snpi2 -> S matrices to be concatenated
% pindex1,pindex2 -> their pindex respectively
%
% Output variables... |
function neighbor(position,vector1,vector2,r,c)
%% Function to connect with ray the neighbor coordinates
hold on;
[x, y] = coord(position,r);
if x-1 > 0 % If have neighbor in north.
p = posi(x-1,y,c);
connect(vector1(position),vector2(position),vector1(p),vector2(p));
end
... |
% Script for pupil-based 3D localization: CPU version
% (C) Copyright 2019 The Huang Lab
%
% All rights reserved Weldon School of Biomedical Engineering
% Purdue University
% West Lafayette, Indiana
% ... |
function workforce3()
% Copyright 2019, Gurobi Optimization, LLC
%
% Assign workers to shifts; each worker may or may not be available on a
% particular day. If the problem cannot be solved, relax the model
% to determine which constraints cannot be satisfied, and how much
% they need to be relaxed.
% define data
nSh... |
%-------------------------------------------------------------------------%
%
% File: PU_weight(xc,locpts,Cp,cellradius)
%
% Goal: script that evaluates Wendland's function and its derivatives
%
% Inputs: xc: the collocation points
% locpts: the collocation points on the subdomains
% Cp: ... |
function [X,Z,w] = ScharFlowAnalyticalKlemp()
%% Common physical constants
p0 = 1.0E5;
cp = 1004.5;
Rd = 287.0;
cv = cp - Rd;
T0 = 280.0;
g = 9.80616;
U = 10.0;
N = 0.01;
ac = 5000.0;
hc = 250.0;
lc = 4000.0;
%% Schar Mountain Case
%
nx = 1024;
nz = 256;
x = [-50000.0 50000.0];
z = [0.0 25000.0];
... |
%{
MIT License
Copyright (c) [2016] [Mallory Ann Jensen, jensenma@alum.mit.edu]
Note: File contents from David P. Fenning.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, in... |
function [Stat,Per,C9,S6Mach] = Performance(DataIn)
S6Mach = -1;
% Data is taken from the input table allowing for mutiple test cases to be
% run at once
sz=size(DataIn);
Runs=sz(1,1);
% Data imported and number of runs defined
Stat=zeros(22,4,Runs);
stn=[0,1,2,21,22,24,25,3,31,4,41,43,44,47,48,5,6,13,16,64,8,9];
Per=z... |
function [X_train, X_test, y_train, y_test] = sklearn_data_poisson_processes()
% Generate a data set containing a Poisson process in each feature
%% PARAMETERS
test_size = 1/3;
num_times = 300;
num_processes = 50;
lambda_scale = 10;
%% GENERATE
% time-varying underlying rate is the ground-truth label
lambdas = lambda... |
# Load data #
data = load('TSerieEjemplo.txt');
dim_data = size(data,1);
min_value = min(data);
max_value = max(data);
for i=1:dim_data
data(i) = (data(i)-min_value) / (max_value - min_value);
end
dim_data_tr = floor(dim_data * 0.8);
x_tr = data(1:dim_data_tr);
y_tr = data(dim_data_tr+1:end);
|
%SWAP. This function swap the value of two variables.
%The input parameters are a and b, that represents the two numbers.
%The output is a with the previous value of b, and b with the previous
%value of a
function [b,a]=swap(a,b)
|
function externalNodeHeatMap(BRAIN_NODES,INNER_NODES,OUTER_NODES,LOAD_NODES,LOCATIONS,CORRELATIONS,node)
node_str = num2str(node);
if(~ismember(node,INNER_NODES))
if(~ismember(node,OUTER_NODES))
disp([node_str ' is not an external node']);
return;
end
end
X = zeros(1,length(BRAIN_NODES));
Y = X;
S = 5;... |
function[x,FVAL,LAMBDA,EXITFLAG,OUTPUT,GRAD,HESSIAN]= sfminle(funfcn,x,A,b,verb,options,...
computeLambda,initialf,initialGRAD,initialHESS,Hstr,varargin)
%SFMINLE Nonlinear minimization with linear equalities.
%
% [x,val,g,it,npcg,ex]=sfminle(fname,xstart,A,b,fdata,verb,...
% pcmtx,pcflags,mtxmpy,tol,i... |
function topograph(outhsmm,data,chanlocs)
if ~exist('data','var')
ruta1='P:\BrainDynamicsLab\Software\HSMM\Sim_paper\Realdata_13Nov\';
file11='s7b1 clean broadband ENV.mat';
file22='s7b1 clean broadband.mat';
load([ruta1 file11]);
load([ruta1 file22]);
data=ADA... |
clear
clc
close all
t=-5:0.001:5;
t0=3;
y=unitstep(t+t0);
figure(2)
plot(t,y,'color', [255 0 0]/255,'Linewidth',2)
axis([-5 5 -0.2 1.2])
xlabel('t')
ylabel('f(t)') |
function [ data, headers ] = toTable( obj, headers )
%TOTABLE 矩阵输出时间序列，存在TEBase.data, TEBase.headers里
% 原TradeList和EntrustList中单独的域和方法统一到这个
% 可供输出excel用。Ticks,Bars,TradeList里也有同样的函数
% headers的优先级：入参里 > obj.headers > default_headers(主要域都含）
% ===============================================================
% 程刚，140805
%%... |
function[scale_param] = init_scale_estimator(im, location, scale_param)
% desired scale filter output (gaussian shaped), bandwidth proportional to
% number of scales
init_target_sz = location([3,4]);
scale_param.scale_sigma = scale_param.number_of_scales/sqrt(33) * scale_param.scale_sigma_factor;
ss = (1:scale_pa... |
%% Post-process RDF averages
clear
load('E1V_nm_stress_conc_data')
% Box and bin dimensions
box = [-6.8920100281133756e-01 4.2604373712814919e+01;
-3.9211809832795872e+00 4.5836353693286085e+01;
-5.3723467213784559e-01 4.2452407382139313e+01];
dx=box(1,2)-box(1,1);
L=dx/10;
x=0:L/20:L;
xc=x(2:end)-L/20/2;
% Volume of... |
% This script starts from a .txt file and generates a term-document matrix
% using tf-idf weighting
data = dlmread('~/research/data/docword.enron.txt',' ');
n_docs = data(1,1);
n_words = data(2,1);
n_nonzeros = data(3,1); % size(data,1)-3
% data(i,j) is the (raw) term frequency of word i in doc j, i.e.
% the number o... |
function [x, y] = genxy(num)
x = floor(6*rand(1));
y = (num-x);
y = mod(y,6);
%disp(x,y,num); |
clear all
clc
z=[-1 -3 -5 -20];
p=[-0.01 -2+4i -2-4i -10 -50];
k=1;
Gs=zpk(z,p,k);
sys=tf(Gs);
[num,den]=tfdata(sys, 'v');
n=max(size(den));
A=zeros(2*n-1,n);
A(1,:)=fliplr(den);
A(2,:)=fliplr(num);
for i=3:2*n-1
for j=1:n-1
A(i,j)=A(i-2,j+1)-A(i-2,1)*A(i-1,j+1)/A(i-1,1);
end
end
h=zero... |
function p = statsToolboxInstalled()
% Determines if user has http://www.mathworks.com/access/helpdesk/help/toolbox/statistics
p = exist('aoctool','file')>0; % name of obscure toolbox functin
|
function [t,y]=trojkat(A,f,fpr,faza,T,w)
przesuniecie=round(faza/360*fpr/f);
t=zeros(1,(T*fpr+przesuniecie));
y=t;
#size(t)
k=2;
aa=round(w*fpr/f);
aaa=round((1-w)*fpr/f);
a1=0;
a2=1;
for i=1:1:length(t)
t(k)=i/fpr;
if a1<=aa
#y(k)=y(k-1)+A*f/fpr/w;
y(k)=A*a1/aa;
a1=a1+1;
end;
if a1>aa... |
function [T X] = delay_logistic(n, x0, b, delay)
T = 1:n;
X = zeros(1, n);
X(1) = x0;
for k = 1:(n-1)
if (k>delay)
xdelelayed = 1 - X(k-delay);
else
xdelelayed = 1;
endif;
X(k+1) = b * X(k) * xdelelayed;
end;
endfunction
|
function cameraParams = computeIntrinsicMatrix(image)
%COMPUTEINTRINSICMATRIX Returns a cameraParameters object containing the intrinsic
%parameters of the camera.
data = imfinfo(image);
sensorX = 22.3;
sensorY = 14.9;
x = data.DigitalCamera.CPixelXDimension;
y = data.DigitalCamera.CPixelYDime... |
function nominalFrequency = getNominalFrequency(signal, fs)
% Determines whether the given signal is 50Hz or 60Hz
% data: n by 1 array of the voltage
% fs : sampling frequency
L = length(signal);
nfft = L; % Normally make this power of 2
Signal = fft(signal, nfft);
mag = abs(S... |
t = linspace(-4*pi,4*pi);
y = sin(t)./t;
plot(t,y) |
%**************************************************************************
% Fuzzy Random Impulse Noise Reduction Method for Colour Images
% => (Compoent-wise)
%
% The FRINR method was proposed in:
%
% Stefan Schulte, Valérie De Witte, Mike Nachtegael,
% Dietrich Van der Weken and Etienne E. Kerre
... |
function [d] = batch_ArtefactRejection_TF(fname,script)
% Function to perform multiple pre-processing operations such as artefact
% rejection, time frequency decomposition, and averaging within a frequency
% band using SPM batch tools. The options within the batch should be
% modified depending on the question to inve... |
%MÉTODO EXPLÍCITO DE ADAMS-BASHFORTH DE CUATRO PASOS
% - Introduzca la ecuación diferencial : 'Dy=y-(x^2)+1'
% - Introduzca la condición y(a)=b : 'y(0)=0.5'
% - Introduzca la función de trabajo : y-(x^2)+1
% - Introduzca el valor de a : 0
% - Introduzca el valor de b ... |
function plot3DTrajAnalysis(outputPath, generalProperty, imagingData, BehaveData)
[labels, examinedInds, eventsStr, labelsLUT] = getLabels4clusteringFromEventslist(BehaveData, ...
generalProperty.labels2cluster, generalProperty.includeOmissions);
frameRateRatio = generalProperty.BehavioralSamplingRate/g... |
function r = cat(dim, varargin)
% CAT Concatenate arrays.
% (Quaternion overloading of standard Matlab function.)
% Copyright © 2005, 2009 Stephen J. Sangwine and Nicolas Le Bihan.
% See the file : Copyright.m for further details.
error(nargchk(3, inf, nargin)), error(nargoutchk(0, 1, nargout))
a = quaternion(vararg... |
% Matt McDade
% System Simluation
% Final Exam Problem 5A
clear; close all; clc;
N = 100;
t = linspace(0, N, N);
a1 = 0.1;
a2 = 0.3;
A1 = 1.2;
A2 = -1.9;
R1 = @(x) (exp(x)-exp(-x)) / (exp(x)+exp(-x));
R2 = @(x) (2*exp(x)-2*exp(-x)) / (exp(x)+2*exp(-x));
x1 = zeros(1, N);
x2 = zeros(1, N);
fx1 = zeros(1, N);
fx2 = ... |
%%%Question 1%%%
raw_data = xlsread('D:\ACADS\IDA\Assignment_3\Raw Data.xlsx');
data = knnimpute(raw_data);
%%%%%Question 2%%%%%
x=randperm(699);
Training_data = data(x(1:500),:);
Test_data = data(x(501:end),:);
attr={'Clump Thickness','Uniformity of Cell Size','Uniformity of Cell Shape','Marginal Adhesion'...
'Si... |
function [X,iter,t] = std_sdp_ADMM(C,A,b,rho,X0,Z0,U0,maxit,tol)
% initializations
[m,n] = size(C);
f0 = trace(C*X0);
iter = 1;
Z = Z0;
U = U0;
% factorize to solve linear system later
AA = [rho*eye(n) A'; A zeros(m)];
L = chol(AA,'lower');
R = L';
% main ADMM
while... |
function pr_loc_summary(cell_data_sub)
figure();
set_print_page(gcf, 0);
subplot(3,2,1:2:5);
% colorcombine image, autoscale
im_output = cat(3, imadjust(cell_data_sub.img_raw(:,:,1)),...
imadjust(cell_data_sub.img_raw(:,:,2)), imadjust(cell_data_sub.img_raw(:,:,3)));
% converts the intensity image I to double pre... |
(** User Mathematica initialization file **)
|
function [w,h] = type2_dft(N,wc1,wc2)
M=(N-1)/2;
% Create vector of equally-spaced frequencies
w= 0:0.01:2*pi;
w1=0: (2*pi)/N: (2*pi)*(N-1)/N;
% Create ideal amplitude response of low-pass filter (remember, it should be symmetric about w = pi)
for i = 0: 1 : N-1
if( ((((2*pi)/N)*i)>wc1 && (((2*pi)/N)*i)<wc2) | ( (((2... |
function img = reconShiftInvariantFBPShortScan( sino, geom, window, crop )
% Cone-beam CT filtered backpeoject reconstruction using FDK method
% input:
% sino - log sinogram
% geom - geometry parameters
% window - window function
% output:
% img - reconstructed attenuation image (1/cm... |
%-------------------------------------------------------------------------%
%
% File: greedy(neigh,x0,N)
%
% Goal: script that computes greedy points in a neighborhood
%
% Inputs: neigh: the neighbors
% x0: the original point (the seed)
% N: number of greedy points
%
% Outputs: x:... |
function generate_segmentation_masks_THUMOS14(slice_image_path, gt, thumos14_videos, segmentation_mask_path)
if exist(segmentation_mask_path)
return
else
mkdir(segmentation_mask_path)
end
img_file_list = dir(fullfile(slice_image_path,'*x145.jpg'));
for i=1:length(img_file_list)
filename = img_file_list(... |
function [FDim] = FractalDim(X, k)
% Fractal Dimension
N = length(X);
for i = 2:N/k
y = abs(X.*(i*k) - X.*((i-1)*k));
end
FDim = (sum(y)*((N-1)/(N)))/k;
end |
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