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function [ f ] = fn_mu_sigma( x, n, A, G, u, v_eff, z )
%fn_mu_sigma Partial function of mu, sigma to be minimized.
mu = reshape(x(1 : (A * G)), A, G);
L_vec = x((A * G + 1) : end);
L = tril(ones(A));
L(L == 1) = L_vec;
sigma = L * L';
f2 = zeros(n, G);
parfor i = 1 : n
mu_eff ... |
function [img_out] = pre_interCC(img, N)
img = double(img);
img_out = interpCC(img);
img_out = permute(img_out,[2,1,3]);
img_out = interpCC(img_out);
img_out = permute(img_out,[2,1,3]);
function [img_output] = interpCC(img_input)
[H, W] = size(img_input);
img_output = zeros(H, W*N);
img_output(:,1:N... |
%% ------- Constants -------
A_c = 1;
A_m = 1;
f_c = 200;
f_div = 100;
phi_c = 0;
samples = 10000;
symbols = 5;
samples_per_symbol = samples / symbols;
end_time = 0.1;
%% ------- Main -------
% Message signal
msg = binary_stream(A_m, symbols, samples_per_symbol);
% Carrier signal
carrier = to_signal(A_c, f_c, phi... |
n = 7;
theta = ones(1,n)/n;
ntime = n;
rholen = n^2;
theta = padarray(theta,[0,(rholen-n)/2],0,'both');
n = rholen;
center = ceil(rholen/2);
rho = zeros(ntime,rholen);
drho = zeros(ntime,rholen,n);
hessian_t = zeros(n,n,ntime);
rho(1,center) = 1;
for i = 2:ntime
rho(i,:) = conv(rho(i-1,:),theta,'same');
for j = 1:... |
function []=metamodel_normal_kt_Gb_scan_kt_cov_with_kt_mean_as_evidence()
% Sample the meta-modeling DBN containing following five input models:
% 1. The postprandial model
% 2. The exocytosis model
% 3. The signaling model
% 4. The GLP1R model
% 5. The metabolism model
SCRIPTS_PATH=pwd(); % Change this line if not ru... |
classdef GradedSpace < AbstractSpace
% Tensor index structure with internal structure, which is not self dual.
%% Constructors
methods
function spaces = GradedSpace(dimensions, dual)
% Construct an array of vector spaces.
%
% Repeating Arguments
%... |
%% true probability distribution
true_func = @(x) betapdf(x,1+1,1+10);
%% Do importance sampling
N = 10^6;
% uniform proposal distribution
x_samples = rand(N,1);
proposal = 1/N;
% evaluate for each sample
target = true_func(x_samples);
% calculate importance weight
w = target ./ proposal;
w = w ./ sum(w);
% resample, ... |
% BRIEF:
% Controller function template. Input and output dimension MUST NOT be
% modified.
% INPUT:
% Q: State weighting matrix, dimension (3,3)
% R: Input weighting matrix, dimension (3,3)
% T: Measured system temperatures, dimension (3,1)
% N: MPC horizon length, dimension (1,1)
% d: Disturbance matrix... |
function image = CdReadSeq(filename, frames)
% image = CdReadSeq(filename, frames)
%
% read in the .seq file produced by the video functionality of the FPD
%
% image: output image of .seq file
% filename: the name of the file
% frames: number of image frames (pages)
image = MgReadRawFile(filename, 1536, 2048, frames, ... |
%% Initialization
clear ; close all; clc
load('datatrain.mat');
%% =========== Part 1: Regularized Logistic Regression with static value of lambda ============
%X = mapFeature(Xtrain(1:209,:), Xtrain(210:418,:));
initial_theta = zeros(size(Xtrain, 2), 1);
lambda = 1;
% Compute and display initial cost and gradient fo... |
numDB = 4;
%numTests = 5;
for j = 1:numDB
databaseBuffer{j} = 0;
end
totalExecutions = 100;
for i = 1:totalExecutions
addpath(num2str(i));
currentExecution = runBatch;
for j = 1:numDB
databaseBuffer{j} = databaseBuffer{j} + currentExecution{j};
end
f{i} = strcat('f', num2str(i));
mkdir(f{i});
for j = 1... |
% BSWFUN 双直交スケーリングとウェーブレット関数
%
% [PHIS,PSIS,PHIA,PSIA,XVAL] = BSWFUN(LoD,HiD,LoR,HiR) は、(LoD,HiD),
% (LoR,HiR) の2組のフィルタに関連する2組のスケーリング関数とウェーブレット
% (PHIA,PSIA) のグリッド XVAL での近似を出力します。
%
% BSWFUN(...,ITER) は、ITER の繰り返しを使用して、スケーリングと
% ウェーブレット関数の2つの組を計算します。
%
% BSWFUN(...,'plot') または BSWFUN(...,ITER,'plot') または
% BSWFUN(.... |
function [] = delete_triangles (TriangleToBeDeleted,nTriangleToBeDeleted);
%
% [] = delete_triangles (TriangleToBeDeleted,nTriangleToBeDeleted);
%
% This function deletes triangles insert in the parameter array. If it is
% necessary the function also eliminates borders and verteces and updates
% BorderInfo array.... |
function [rx_frame_return timedOut] = PHY_receiveFrame(radio, expectedFrameLength, detect, timeOut)
% expectedFrameLength in terms of sample
flushUSRPRxBuffer(radio,0);
timedOut = 0;
tic;
% Receive one frame
len = 0;
while len == 0
[rx_data, len] = step(radio);
end;
% Keep searching for frame
whil... |
clc
clear
% close all
% im = (imread('/Users/INNOCENTBOY/Documents/MATLAB/pic/4.2.04.tiff'));
% % im = imresize(im,[1024,1024]);
% im1 = double((im));
% imo = double(imread('256_p.jpg'));
imo = double(imread('/Users/INNOCENTBOY/Documents/MATLAB/pic/4.1.01.tiff'));
im1(:,:,:) = imo(:,:,:);
im = im1(:,:,3);
im2(:,:,:... |
clc,clear all,close all
rain1 = [-1.9,-6.9,5.2,5,7.3,6.8,0.9,-12.5,1.5,3.8]';
rain2 = [3.2,10.4,2,2.5,0,12.7,-15.4,-2.5,1.3,6.8]';
unrain1 = [0.2,-0.1,0.4,2.7,2.1,-4.6,-1.7,-2.6,2.6,-2.8]';
unrain2 = [6.2,7.5,14.6,8.3,0.8,4.3,10.9,13.1,12.8,10]';
%%
% G1 = [rain1,rain2];
% G2 = [unrain1,unrain2];
% meanG1 = mea... |
function [ tanstruct_out_flagged ] = apply_ace_flags(tanstruct_in)
%A function to apply the flags that are supplied for the ACE data. The
%profiles that are flagged as 'not to be used' are removed. Data points
%that are not be used are or replaced with NaNs.
% The ACE flags are descibed in Sheese et al., 2015: Detecti... |
function [y alpha beta gamma W] = TVME_Sens(Y, x,lambda,hnuclei,nbandas,varargin )
% TVME_Sens Reconstructs a HR MS image from observed LR MS and
% pansharpening images using TV prior
%
% input arguments:
%
% Y Multi-spectral observed image
% x Panchromatic observed image
% ... |
function varargout = coord_binner(coords,center,Nphi,Nrad,Ecoeff)
% This code sorts the values of a 2D rectangular array into radial and
% angular bins.
% input parameters:
% imgin: 2D rectangular array to be sorted
% center: coordinates [x y] a.k.a. [row column]
% Nphi: number of angular sectors
% Nrad: num... |
% detecting whether a triangle is isosceles
% empty vector for trianlge lengths
triLengths = [];
% assking for the lengths of the triangle sides
for i = 1:3
triLengths(i) = input("length of a triangle side: ");
end
% checking if any triangle lengths are 0 or less
if triLengths(1) > 0 && triLengths(2) > 0 && triL... |
function [string, onset, rt] = EchoCueResp(windowPtr, cue, msg, cueRect, respRect, varargin)
KbName('UnifyKeyNames')
HideCursor();
% string = EchoCue Resp(window, cue, msg, left, right, [KbHandler], dev, [duration],[answers],[textColor], [bgColor] )
% REQUIRED ARGUMENTS
%
% Get a string typed at the keyboard. Entry is... |
fs = 10000;
t = 0 : 1 / fs : 3;
y = (rand(length(t), 1) - 0.5) * 1;
%%plot_fft(y, fs);
samplesT = length(y);
NFFT = 2^nextpow2(samplesT); % Next power of 2 from length of y
Y = fft(y, NFFT)/samplesT;
f = fs/2*linspace(0,1,NFFT/2+1);
a = 25;
b = 500;
h = exp(- a * t) .* cos(b * t);
plot(conv(y, h));
%plot(t, h);
%pl... |
function [ ProjectedImages Eigenfaces m Eigenfaces_Size] = SignUp(TrainPath)
% SignUp step....
%
% Description: This function adds new person in the system
%
% Argument: TrainPath - The path for trainning
% person images
%
% Returns: m ... |
%% Main file
clear all
clc
%% 定义基本参数
% 飞行高度(海平面）
global h
h = 1000;
% 大气数据
global rho
[~,~,~,rho] = atmosisa(h); %温度，音速，压强，密度
global g
% 重力加速度
g = 9.81;
global N_b m_b z_diff R A Omega sigma_M theta_t omega_n I_beta a c_d c K_beta gamma_M epsilon e M_beta i_theta i_phi x_H1 y_H1 z_H1 x_H2 y_H2 z_H2
... |
% Copyright 2014
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in compliance with the License.
% You may obtain a copy of the License at
%
% http://www.apache.org/licenses/LICENSE-2.0
%
% Unless required by applicable law or agreed to in writin... |
function [ L ] = lossfn( theta,X,Y)
%UNTITLED5 Summary of this function goes here
% Detailed explanation goes here
L=0;
for i = 1: length(Y)
L=L+ (Y(i)-1)*log(1-classfn(X(:,i),theta))-Y(i)*log(classfn(X(:,i),theta));
end
L=(1/2*length(Y))*L;
end
|
% Frecuencia de muestreo
Fs = 512;
% Periodo de muestreo
Ts = 1/Fs;
% Muestras
L = 1024;
% Vector tiempo
t = (0:L-1).*Ts;
% Para la señal
s1 = (t>=0);
s2 = exp(-10*t);
s = s1.*s2;
% Para el espectro de fase de la señal
figure 1
Y = fft(s);
subplot(211)
plot(imag(Y), 'linewidth', 2)
title('Espectro de la fase')
xl... |
function ColorImagePriorsLocalHook
% ColorImagePriors
%
% Configure things for working on the LightnessPopCode project.
%
% For use with the ToolboxToolbox. If you copy this into your
% ToolboxToolbox localToolboxHooks directory (by defalut,
% ~/localToolboxHooks) and delete "LocalHooksTemplate" from the filename,
% t... |
function coivox = nii_centerinten(V)
% This script attempts to return the 'Center of Intensity' for an image
% Similar to 'center of mass' - for each dimension the intensity is summed
% COI is the midpoint for the intensity
% Example
% nii_centerinten('C:\dir\img.nii');
coivox = zeros(1,3); %translate 0mm i... |
function [esperanzaport, desvestport]=fun_portafolio_prof(Precios,part)
[nprecios,activos]=size(Precios);
npart=size(part,1);
for k=1:activos
rend(:,k)=(Precios(2:nprecios,k)-Precios(1:nprecios-1,k))./Precios(1:nprecios-1,k);
end
esperanza=mean(rend);
varianza=var(rend);
desv... |
% My simple implementation of sift descriptor ignoring scale and rotation
% invariances
%
% Input:
% keyPoints - detected keypoints in a 2 x n matrix holding the key
% point coordinates
% img - the gray scale image
%
% Output:
% descr - w x n matrix, stores for each keyp... |
%segmentation for 1 image
img=imread('004.tif');
I = imresize(img,0.15);
Ig= imgaussfilt (I,1);
cform = makecform('srgb2lab'); %transform to L*ab space
lab_he = applycform(Ig,cform);
ab = double(lab_he(:,:,2:3));
nrows = size(ab,1);
ncols = size(ab,2);
ab = reshape(ab,nrows*ncols,2);
nColors = 3; % kmeans clu... |
function[freq1]=norm_spec_maxfreq(freq1)
cao=freq1.powspctrm;
% KAO=cao;
for j=1:size(cao,1)
for y=1:size(cao,2)
kao=squeeze(cao(j,y,:,:));
% mkao=max(kao.');
% nkao=kao./mkao.';
% KAO(j,y,:,:)=nkao;
mkao=max(kao);
nkao=k... |
function mplotmatrix(haxes,info)
% by Guoxu ZHOU
definfo=struct('signal',rand(2,100),'xlabel','Index','ylabel','\itt','zlabel','\it{s}({\itt})','viewpoint',[25 45],'title','plotmatrix','linewidth',2,...
'linestyle','','plotfunc','plot3','colormap','hsv','tag','plotmatrix','opos',[0.01 0.01 0.98 0.98],'units','norma... |
% sieve of Erasthotenes built in version
max = 10000; % limit for the max prime number
if (nargin > 0)
max = int64(str2num(argv(){1}));
end
tic(); % start timer
prime = primes(max);
toc() % write elapsed time
printf('%d\n', columns(prime));
|
% Matt McDade
% System Simulation
% HW 10 Part C & D
Nr = 12;
Ntheta = 50;
theta = linspace(0, (Ntheta-1) / Ntheta, Ntheta) * 2 * pi;
rho = linspace(1, Nr, Nr) / Nr;
rho_cw = linspace(1, Nr, Nr) / Nr;
rho_ccw = linspace(1, Nr, Nr) / Nr;
p = linspace(0, 2*pi, 1001);
for m=1:Nr
r = rho(Nr - m + 1);
z ... |
function tseries_filt = Filter_daily_new(tseries,Tmin,Tmax)
% filter the data series, for a period of Tmin,Tmax (in days)
% tseries dimentions: [lon,lat,time]
%~~~~~~~Filter Parameters~~~~~~~~~~~~
f_sampling = 1; %(days^-1) sampling frequency
N=6; % order of filter
F3dB1=1/Tmax; % first 3dB cutoff point
F3dB2=1/Tmin... |
function [plot_handle] = quiver_plot_coil(x_points,y_points,z_points)
%QUIVER_PLOT_COIL Summary of this function goes here
% Detailed explanation goes here
quiver_vec_x=diff(x_points);
quiver_vec_y=diff(y_points);
quiver_vec_z=diff(z_points);
quiver_pos_x=(x_points(1:end-1))+.5*quiver_vec_x;
quiver_pos_y=(y_points... |
filefolder = 'C:\Users\praveen\Desktop\imgp\1\Input Images\';
imagefiles = dir(fullfile(filefolder,'*.*'));
nfiles = length(imagefiles);
count = 0;
for i=17:21
filename = imagefiles(i).name;
fullfilename = fullfile(filefolder,filename);
im = imread(fullfilename);
gamma = 5;
[rows column depth] = siz... |
% Represents a trajectory of disturbances (in joint space)
%
% Author : Chen SONG
% Created : 2017
% Description :
% This is a trajectory of joint space disturbances, will probably mainly
% be used in simulators with disturbance observer
% Not sure if this should even exist
classdef ObserverTrajec... |
function pred = image_pyramid(image,paths)
%
% analyze the predictiveness of coarse to fine luminance/depth correlation for
% perceptual responses
%pyramids = {'Laplacian', 'Wavelet', 'Steerable'}; % different methods for coarse-to-fine scale
pyramids = {'Laplacian'};
max_levels = 5; ... |
% Task = 'EXHC';
% SpecIdio = true;
% SpecType = true;
% SpecBC = true;
format shortG;
if ~isequal(exist('Task','var'),1)
Task = 'US';
end
Params = SETUP;
Params = MOMENTS(Params);
switch (Task)
case 'EQ'
Params = OVERWRITE(Params, 'Benchmark');
Params = COMMON(Params);
EQ(Params);
... |
% Collect data
mytable = readtable('00_codelines.csv');
values = mytable{:, :};
% Plot
hFig = figure;
hB = bar(values,'grouped','FaceColor','flat');
set(gca,'XTickLabel', {'XDP wired' 'XDP wireless' 'P4 wired' 'P4 wireless' });
title('Number of code lines');
grid on
ylim([0, 320]);
% IF we want to add V... |
% PROJECT: Flooding Physiology
%
% Compile all longitude files into a single record for analysis.
%
% Meg D. Fowler, 2017-09-19
% Be sure to mount /gdata/pritchard2/mdfowler/ via sshfs
%% OPTIONS %%%
baseDir = '/Users/meganfowler/gp_fuse/Flooding-physiology/MatlabData/30yr/outflw_lonSeparated/';
caseName = 'co... |
clear all;
clc;
close all;
t=-5000:5000;
x=cos(31.4*t)+2*cos(188.5*t)+0.5*cos(43.98*t);
plot(t,x); xlabel('time in sec');
ylabel('x(t)');
title('continuous time signal'); |
function CT = getCT(vawt, CTb)
%GETCT Non dimensional torque of all VAWT.
%
% CT = vawt.getCT(CTb) returns the non dimensional torque (CT) of the
% overall turbine from the torque of one blade (CTb).
CT=zeros(size(CTb));
CTb=vawt.solidity*CTb/vawt.nblades;
indCT=1:2*vawt.Nth;
stepCT=2*vawt.Nth/v... |
function noisedPoint = noise( point, p, K, l )
%Общая формула x = sqrt(p) * h * d + ksi
N0=4;
A=1;
fd = 100;
dt = 66.7E-6;
%k=-1 модель Кларка
%k=Inf гауссов шумовой канал
%k=0 релеевский канал
global teta;
if(teta == -1)
teta = 2*pi * rand(1, N0);
end
if( K == Inf ) ... |
function [tau_ext,dTau_ext,Fn,Fs,dFn,dFs] = toe_grf(x,p)
x = x(1,:); %we leave for future delay function
J = six_J(x(1),x(2),x(3),x(4),x(5),x(6));
dJdx1 = dJ_q1(x);
dJdx2 = dJ_q2(x);
dJdx3 = dJ_q3(x);
dJdx4 = dJ_q4(x);
dJdx5 = dJ_q5(x);
dJdx6 = dJ_q6(x);
Fn = Fn_toe(x,p.toe_th,p.k,p.cmax,p.dmax,p.us,... |
% 一次性更新一个时间段的TableData_main_v2时，有时候会遇到ATR价格取得不对导致ATR计算有误的问题，不定期check一下这个问题
load('E:\futureDataBasic\priceData\Dly\TableData_main_v2.mat')
% 核对14列trABS计算有没有错误
TableData.Variety = regexp(TableData.mainCont, '\D+', 'match');
TableData.Variety = cellfun(@char, TableData.Variety, 'UniformOutput', false);
TableData ... |
%% ex3 Addythive synthesis
% Open the wav file flute.wav as ? and try to synthetically (and empirically) replicate it as a sum of K=3 sinusoids
clear all
close all
clc
[x, Fs]=audioread('flute.wav');
%% 1. Compute and plot the spectrogram of x
Nfft=2048;
R=Nfft/2;
f=linspace(0,Fs/2,Nfft/2+1);
X=spectrog... |
% Generated through Matlab
% Author/last edit: Killian Keller/Christian
% E-Mail: killian.keller@ief.ee.ethz.ch
% Organization: ETHZ ITET IEF
function [simulation_results, mode_results] = comsolEvaluation(model, simulation_parameters, materials, varargin)
%EVALUATION Evaluates the Simulati... |
% Consumption for fish and plants agent types
function tank = agents_behaviour(tank)
% Initialize fish and plants
[~, fishPopulation] = size(tank.fish);
[~, plantPopulation] = size(tank.plants);
% Behaviour of fish
for j = 1:fishPopulation
if (tank.fish(j).status == STATUS.A... |
revisedColorMap = [ 0 0 0;
0 0 255;
127 0 255;
65 127 127;
127 65 0;
255 180 180;
201 201 65;
158 196 113;
127 127 127;
180 255 255... |
%Add Retina-LGN-V1-ongoing package into matlab path
%Load any image
load images_80.mat
r_xy=AdjancyCorrPixel(im1);
r_x2y=Adjancy2CorrPixel(im1);
r_x4y=Adjancy4CorrPixel(im1);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% De-corrlation with RBIG2018
% Addpath RBIG2008 into matlab
%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
classdef LUT1DHalfDomain < LUT1D
%LUT1DHalfDomain Summary of this class goes here
% Detailed explanation goes here
properties
numChannels = 1
end
methods
function value = getLUTValueForFloat(obj, floatVal, channel)
value = floatVal;
end
... |
smooth_factor = 50;
e1.srms = rectify(e1.fdata800(:,1:20), smooth_factor);
e2.srms = rectify(e2.fdata800(:,1:20), smooth_factor);
subtracted.srms = rectify(subtracted.fdata800(:,1:20), smooth_factor);
figure('Name', 'Smoothed rms of signal');
sh(1) = subplot(7, 1, 1);
[s,f,t] = zftftb_pretty_sonogram(double(audio.d... |
function [ M ] = x_operator( v )
M = [ 0 -v(3) v(2);
v(3) 0 -v(1);
-v(2) v(1) 0 ];
end
|
function [S] = loadphyparam(fn)
%LOADPHYPARAM Summary of this function goes here
% Detailed explanation goes here
% Loads a phy-style "params.py" into a matlab struct. The params.py is
% python code but just a series of assignments, so most of it will run
% directly in matlab
%
% now based on text2struct from James ... |
function x = doolitle(A, b)
[n, n] = size(A);
L = zeros(n);
U = zeros(n);
x = zeros(n, 1);
y = zeros(n, 1);
for r = 1:n
for i = r:n
U(r, i) = A(r, i) - sum(L(r, 1:r-1).*U(1:r-1, i)');
L(i, r) = (A(i, r) - sum(L(i, 1:r-1).*U(1:r-1, r)'))/U(r, r);
end
en... |
function [z] = Aitken_Neville2(x,y)
%Extrapolation von Pi mit Aitken Neville
%Mit Darstellung von U/2 durch n*sin(pi/n)
n = length(x);
T = zeros(n,n);
T(:,1) = y';
h = 1./x;
for i=1:n
for j = 1:i-1
T(i,j+1) = ((h(i).^2)*T(i-1,j)-(h(i-j).^2)*T(i,j))/((h(i).^2)-(h(i-j).^2));
end
end
z = T(n,n); |
%2 dimensions
figure
subplot(2,1,1)%概率转移矩阵不同
for k=1:3
f=[0.4;0.6];
[P1,PI1]=Mchain2(0.1*k,0.2*k);
for i=1:20
err1(i)=norm((P1')^i*f-PI1(1,:)');
end
plot(err1);
title('（同一初始分布）2阶Markov链的收敛迭代误差');
xlabel('迭代次数');
hold on
end
subplot(2,1,2);%初始分布不同????????????
[P... |
% common fields
% traintype, numhid, epsilon, eps_decay, sp_type, sp_reg, sp_target, l2reg,
% maxiter, batchsize, stdinit, upfactor_x, upfactor_z, downfactor,
% momentum_change,
%
% training algorithms
% 'pcd' : ML with CD
% : usepcd, kcd, negchain
% 'cdpl' : percloss with CD
% : kcd
% 'mrnn'... |
function WriteLineOfFile(varargin)
%WRITELINEOFILE A function a line of a text based file
%
% ------------------------------------------------------------------------
% Copyright (C) 2017 M. Schrauwen (markschrauwen@gmail.com)
%
% This program is free software: you can redistribute it and/or modify
% i... |
function [activeSet, Kstore] = gplvmivm(X, theta, d)
% GPLVMIVM THis code implements active set selection (via the IVM) for the GPLVM
numData = size(X, 1);
% Create storage for the kernel
Kstore = zeros(numData, d);
% Initialise Indices
J = 1:numData;
activeSet = [];
% Note the last parameter theta(end) is the preci... |
clearvars
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%do 2D+1 analysis of some real AIRS-observed waves
%
%Corwin Wright, c.wright@bath.ac.uk, 2021/02/02
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function F_x = dyn_fn(X_in, u)
x= X_in(1,1); theta=X_in(2,1); x_dot = X_in(3,1); theta_dot = X_in(4,1);
F_x = [ x_dot ; theta_dot ; ...
( (theta_dot^2 + cos(theta))*sin(theta) + u )/(1+(sin(theta))^2 );
( -u*cos(theta) - theta_dot^2*cos(theta)*sin(theta) - 2*sin(theta) )/(1+sin(theta)^2) ];
end |
classdef SWEDepthLimiter1d
%SWEDEPTHLIMITER1D Summary of this class goes here
% Detailed explanation goes here
methods
function fphys = apply( obj, phys, fphys )
fphys = phys.limiter.matLimit( fphys, 1 );
fphys = phys.limiter.matLimit( fphys, 2 );
end
end
... |
function [options, imdb] = run_experiments_bcnn_train(opts)
if(~exist('data', 'dir'))
mkdir('data');
end
for ii = 1 : numel(opts.datasetList)
dataset = opts.datasetList{ii} ;
if iscell(dataset)
numSplits = dataset{2} ;
dataset = dataset{1} ;
else
numSplits = 1 ;
end
for jj ... |
function [J grad] = nnCostFunction(nn_params, ...
input_layer_size, ...
hidden_layer_size, ...
num_labels, ...
X, y, lambda)
%NNCOSTFUNCTION Implements the neural network cost func... |
% Returns a m x 3K(3K+1)/2 system of orthogonality and basis constraints
% with m = F(K-1) - K(K-1)/2 = (2F-K)(K-1)/2 the number of constraints.
function [A, c] = rotation_and_basis_constraints(M_hat, k)
% M_hat is 2F x 3K.
F = size(M_hat, 1) / 2;
K = size(M_hat, 2) / 3;
% Number of variables.
n = 3 * K * (... |
function [ hidden,accuracy ] = viterbi_nolog( observations1, states, pye, A, B )
%clear all;
%[pye,A,B] = training_crossValidated();
%observations1 = load(observationsPath);
%observations2 = load('~/NCSU-git/ActivityRecognition/data/NewData/ADL5.csv');
%observations2 = load('~/NCSU-git/ActivityRecog... |
clc, clear all, close all
matA=diag([ones(1,9)*17]);
matB=diag([ones(1,9)*17]);
%[P1,Ant1]=sort(rand(1,8));
Ant1=[8 6 3 1 4 5 7 2];
%[P2,Ant2]=sort(rand(1,8));
Ant2=[7 5 3 2 8 6 1 4];
%[P3,Ant3]=sort(rand(1,8));
Ant3=[1 8 3 5 6 7 2 4];
%[P4,Ant4]=sort(rand(1,8));
Ant4=[4 1 8 7 5 3 6 2];
ANTS=[Ant1; Ant2; Ant... |
function [nTApprox,nVApprox,nBApprox] = first_size_variables_extimate (nInputVertex);
%
% [nTApprox,nVApprox,nBApprox] = first_size_variables_extimate (nInputVertex);
%
% This function gives a first extimate of the size of the
% elements of the grid
%
% Inputs & Outputs of this function are:
%
% nInputVertex... |
%SCRIPT TO MAKE ANIMATED .GIF OF 3D PLOT
%FROM
%http://www.mathworks.com/matlabcentral/answers/86940-animate-3d-plot-view
az = 45;
el = 45;
view([az,el])
degStep = 5;
detlaT = 1;
fCount = 71;
f = getframe(gcf);
[im,map] = rgb2ind(f.cdata,256,'nodither');
im(1,1,1,fCount) = 0;
k = 1;
% % spin 45°
% for i = 0:-degStep:... |
function [ALPHA, GAMMA, BETA] = make_euler_angle_grid_3D(BAND_WIDTH)
% This function creates matrices of spherical coordinates
% that are consistent with the SOFT library in C.
%
% INPUTS
% BAND_WIDTH: Band width of the function, e.g., half the sampling rate on
% the equiangular grid (integer).
%
% OUTPUTS
% ALPH... |
function peaksIdx = myFindPeaks(signalECG)
diffSig = diff(signalECG);
thy = 80;
thx = 300;
peaks1 = find(diffSig > thy);
diffpeaks = diff(peaks1);
peaks1(find(diffpeaks < thx)+1) = [];
peaks2 = find(diffSig < -thy);
diffpeaks1 = -diff(peaks2(end:-1:1));
peaks2(length(peaks2) - find(diffpeaks1 < thx)) = [];
peaksIdx ... |
function gnd_detections = loadDetections(dataset, cameras, subset)
% load the detections file
gnd_detections = cell(length(cameras),1);
for id = 1:length(cameras)
filename_g = ['/home/pedro/mct-bqp/data/' dataset '/groundtruth/' num2str(cameras{id}) '.txt'];
temp_g = csvread(filename_g);
... |
function hi=lsqinv(h,N,L,wlp)
% LSQINV Least square inverse filter design
% hi=LSQINV(h,N,L,wlp)
% input parameters:
% h --> measured impulse response
% N --> number of recognized samples (default: length of h -1)
% L --> time shift for desired output (defau... |
function [data,labelNames,numActive,MAD]=extractField_multiFile(field)
% Takes field as an input (eg. 'rBias') and prompts the user to select
% multiple files. Files are automatically sorted and grouped by line,
% treatment, and day.
%% Get paths to data files
[fName,fDir,fFilter] = uigetfile('*.txt;*','Open data fil... |
base_path = '/home/owhughes/matlab';
addpath(fullfile(base_path, 'chebfun-master'));
addpath(fullfile(base_path, 'Padua2DM'));
addpath(fullfile(base_path, 'partitions'));
addpath(fullfile(base_path, 'spotless'));
addpath(fullfile(base_path, 'alfonso-master'));
addpath ./okay_poly_utils
addpath ./spotless_utils
addpath... |
function models = trainShape(files,collector,params,options)
% trainShape - collects ground truth and estimates a Gaussian distribution regularized by PPCA; alternatively loads a shape stored on disk
%
% Syntax:
% models = trainShape(files,collector,params,options)
%
% Inputs:
% files - [struct] output of the ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Illustrate how we get hyperacuity resolution: vernierSample.
%
cd /wusr5/brian/book/06space/fig/subLocalization
% Make 5 minutes worth of linespread
%
x = -5:.05:5;
ls = lineSpread(x);
%plot(x,ls)
% Make sample points every 30 sec (1/2 minute) for cones
%
sampleValues = 5:1... |
function [C] = CorR(X,Y,m)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
%{
Cright = zeros(1,length(m));
N1 = (floor(length(m) / 2)) + 1;
for i = ((floor(length(m) / 2)) + 1):length(m)
for n = 1:(N1 - m(i))
Cright(i) = Cright(i) + (X(n)*Y(n + m(i)));
Cright(i) = (... |
function [] = Predict(imageurl)
load D:\CODE\aboutSVM\try\only_HOG\classifier2.mat;
figure;
img = imread(imageurl);
imshow(img);
%提取图像的特征向量
%转化为灰度图像
img=rgb2gray(img);
glcm_feature = getGLCMFeatures(img);
%转化为2值图像
lvl = graythresh(img);
img = im2bw(img, lvl);
% imshow(img);
% figure
img=imresize(img,[256 256]);
[hog... |
function phaldacst(varargin);
% phaldacst( [...] );
% uDACS16 T
h = timeplot({'MS5607_T','TRU1T','TRU2T','TRU3T','TRUIB1T','TRUIB2T'}, ...
'uDACS16 T', ...
'T', ...
{'MS5607\_T','TRU1T','TRU2T','TRU3T','TRUIB1T','TRUIB2T'}, ...
varargin{:} );
|
classdef ImagingSystem < handle
%IMAGINGSYSTEM Class implementing an ultrasound post-processing system.
% IMAGINGSYSTEM is responsible the brain of the operation.
% The class keeps control over all settings and parameters,
% and also calls the different algorithms when necessary.
proper... |
[reflect11,reflect21,r_frequency] = s2pToComplexSParam_v4('C:\Users\jl3y9\Documents\MATLAB\Data\Calibration\Airline_50mm_30dBm_1-20-17.dat');
[air11,air21,a_frequency] = s2pToComplexSParam_v4('C:\Users\jl3y9\Documents\MATLAB\Data\Calibration\Airline_reflect_30dBm_1-20-17.dat');
[mut11,mut21,m_frequency] = s2pToComplexS... |
fs = 16000;
load 'rir.mat'
load 'source.mat'
[I,J,Lr] = size(rir);
[~,Ls] = size(source);
Lx = Ls+Lr-1;
x = zeros(I,Lx);
for i = 1:I
for j = 1:J
x(i,:) = x(i,:)+conv(source(j,:),squeeze(rir(i,j,:)));
end
end
y = ctf_mint(x,rir,1e-5,6);
figure;plot(y')
figure;plot(source')
|
function grafico = geragrafico (p)
xneg=input("Entrar valor negativo de X: ", "s");
xpos=input("Entrar valor positivo de X: ", "s");
escala=input("Entrar com a escala de valores X: ", "s");
x=xneg:escala:xpos;
k= ((str2num(xpos)- str2num(xneg))/str2num(escala))+1;
funcao = input("entre com a funcao: ",... |
function [L,U,piv] = OuterLU_PP(A)
% function [L,U,piv] = OuterLU_PP(A)
% Outer product LU with partial pivoting.
% A is nxn.
% L is nxn and unit lower triangular.
% U is nxn and upper triangular
% piv(1:n-1) houses the pivot row indices.
% PA = LU where P = P_{n-1}...P_{1} and P_{k} is the identity with
% ro... |
function [ LPT, Cycle ] = LPTurb( LPT, LPC, IPT, Cycle_In, DesignInputs, DesignCriteria )
% Set outputs equal to inputs, add to throughout code
Cycle = Cycle_In;
% Set shafts speeds to be equivalent
LPT.N = LPC.N;
% Determine row indices for IPT stations
Station_48 = find(ismember(Cycle(:,1),48),1); % IPT Inlet
Stat... |
function [Xh, Xl, Yh, varargout] = Sample_PreProcess( params, varargin)
%%
% ====================================== ===================================
% 04/03/2016 optional preprocess involving blure, downsampling, interplolation,
% feature extraction.
% 03/03/2016 Assume the measurement matrix is unknown;
% =======... |
%
% Calc data for Voce plots
% (Uses files generated in Step9)
%
function calcVoceData
marker = ['o';'p';'v';'s';'d';'^';'h';'<';'x';'>';'+';'*'];
color = [[0.90 0.10 0.10];[0.10 0.90 0.10];[0.10 0.10 0.90];...
[0.75 0.25 1.00];[1.00 0.75 0.25];[0.15 0.30 0.70];...
[0.30 0.50 0.80];[0.25 0.7... |
function WriteCentered(win, text, x, y, color, margin, linespacing, yPositionIsBaseline)
%
% WriteCentered(win, text, x, y, color, margin, linespacing, yPositionIsBaseline)
%
% function writes a string TEXT to screen WIN in color COLOR. The center
% of the TEXT occurs at postion X and Y.
%
% If the text ... |
function [ freq_trials ] = readBinDevFreq( subj_num, E)
%READDEVFREQ reads the input txt file of a subject's deviation
%frequencies (represented as binary numbers).
%Outputs a structure with all the conditions (frequencies
%tested) on the subject, in the order that they were tested in.
%
%This function is used for sin... |
function lineBest = ransacEstimate(line, modelmode, errormode, maxiter, modeloptions, falsePositions)
% RANSACESTIMATE Gives the best fitting RANSAC model fit for a line.
%
% LINEBEST = ransacEstimate(LINE, MODELMODE, ERRORMODE, MAXITER, MODELOPTIONS, FALSEPOSITION)
%
% LINE: The original linepoints (OCTSEG format).
... |
classdef Node
%NODE Summary of this class goes here
% Detailed explanation goes here
properties
Pose
Invariant
Transition
Level
Parent
ChildrenList
Cost
EdgeList
end
methods
function obj = Node(pose,invariant,transit... |
%{
common.Injection (manual) # record of injections
-> common.Animal
injection : tinyint # number of injection (first, second, etc...)
---
injection_guidance="2P" : enum('2P','stereotactic','other')# guidance method
injection_type="virus" : enum('virus','dye','beads','other')# substance in... |
function X = mwptrec(dec,varargin)
%MWPTREC Multisignal wavelet packet 1-D reconstruction.
% M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi 18-Feb-2011
% Last Revision: 28-Aug-2011.
% Copyright 1995-2011 The MathWorks, Inc.
% $Revision: 1.1.6.2 $ $Date: 2011/10/11 16:07:01 $
% Check arguments.
error(nargchk(1... |
classdef HexagonalLattice <Lattice
methods
function rect= getPatchRects( obj )
sz= obj.size .* obj.baseSize;
rect= zeros([4 sz(:)'] );
for k1= 1:sz(1),
for k2= 1:sz(2),
rect( :, k1, k2 )= [-.45+0.86*.9*k1 -0.86*.45+k2*0.86+mod(k1,2)*0.4... |
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