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function out = MAUC (TrueTestLabels,labels,predProbs)
c = length(labels); % Number of classes
t =1;
for i=1:c
for j=i+1:c
positiveC = i;
prob = predProbs(:,positiveC);
ind1 = find(TrueTestLabels==i); % index of positive class
ind2 = find(TrueTestLabels==j); % index of ne... |
function [y] = ros(x)
if length(x) ~= 2
error("Wrong dimension")
else
y = 100 * (x(2) - x(1)^2)^2 + (1 - x(1))^2;
end
end
|
function [imgGS] = convertRGBtoGrayscale_student(imgRGB)
% Get the size of the input image
[rows, cols, channels] = size(imgRGB)
% Create an empty matrix for the new greyscale image
imgGS = zeros(rows,cols);
for i = 1:rows
for j = 1:cols
% Your logic goes in here
% greyscale value = 0.2989 * R ... |
function [Mbc] = bias_cr_seas(Od,Md)
%BIAS_CR_SEAS Bias corrects the model input according to the given
% observational data. Bias correction happens for the seasonal cycle
% [Mbc] = bias_cr_seas(Od,Md)
% Where
% Od[space,time] = observational data
% Md[space,time] = model data (to be corrected)
%
% ... |
function [fre, amp] = fft_prec(t, x, f1, f2, df)
% fft_prec(t, x, f1, f2, df)
%
% Do fourier transformation of x(t) in range f1..f2 with step df.
j=1;
for f = f1 : df : f2
amp(j) = sum(x .* (cos(2.0*pi*f*t) - sin(2.0*pi*f*t) * i)) * 2.0/(length(t)-1);
fre(j) = f;
j=j+1;
end
end
|
% A script for calculating the absorption and reflection coefficients of an ensemble of core-shell nanoparticles
% These models only work for particles that are much smaller than the
% incident wavelength (less than 50 nm diameter for visible light)
% 25.3.2020 Mikko Kataja
% Details of the particles
r_core = ... |
%% Example script for annotation of spectral data.
% For instructions and a guide, please refer to the documentation available
% here:
% Initial annotation
[lm,ass] = annotateMZ(op.cmz,...
'Polarity','negative',...
'Adduct',{'M-H','M+Cl'},...
'Tolerance',10,...
'Database','luisa');
%% Exporting the a... |
% Air/Physical properties
bar = 1e5;
k = 1.4;
cp = 1000;
R = 8.3144/(28.9647e-3);
% Given values
m_cor = 54.4;
pp_total = 23;
n_ad = 0.86;
n_pl = 0.906;
T01 = 304.8;
P01 = 0.60496*bar;
% Real mass flow rate, stage number and stage pressure ratio
m = m_cor*(P01/101325)/sqrt(T01/288.15);
n_stages = ceil(9*log(pp_total)... |
%{
spinVis.m
Ashley Dale
Visualizes a spin lattice
%}
function leg = spinVis(spinD)
[m, n, p] = size(spinD);
%Set colors
spins = spinD;
%threshold spin lattice
%find where the spins=1, set these spins equal to 10
mask_HS = (spins == 1);
spins(mask_HS) = 10;
color10 = [1,0,1];
%find where 0.75<spins<1, set these sp... |
function f=dspchi3(x1,y1,x2,y2,sig1,sig2)
% function f=dspchi3(x1,y1,x2,y2,sig1,sig2)
% f=[x0 x1 x2], x0=b1, x1=b2, x2=a for b+ax
% calculates slopes for isosceles triangle for brewer dsp.
% sig1 sig2 are uncertainities.
% 5 3 98 julian gives same result as fmins(dspchi2)
if nargin<6,sig2=[];end
if nargin<5,... |
%% Extraction of Impedance data from the Brain Vision .txt files
% clc, clear all, close all
% for calling helper functions
addpath(genpath('\\bmi-nas-01\Contreras-UH\Infantdata\Infantdata\code\Zachs_Infant_decoding_files'))
tic;
%% Annotation for Infant Data
files = dir('\\bmi-nas-01\Contreras-UH\Infantdata... |
%% MMSP2 - Lab 2
% Exercise 3 - Scalar quantization
clearvars
close all
clc
%% 1) Suppose that you are sampling the output of a sensor at 10 kHz for 10 seconds.
%% Quantize the output with a uniform quantizer at 10 bit per sample.
%% Assume that the pdf of the signal is gaussian with mean 0 V and variance 4 V^... |
function [diff_coeff,o_sig,o_amps,centers,base_level,o_weigth,o_t0,o_dimens,res] = diff_fit_routine(img,timestamps,parameters)
% input: img - image stack, timestamps - time signatures of images,
% parameters - parameters for fitting
% output: diff_coeff - calculated diffusion coefficient, o_sig - calculated
% sigma... |
clc
clear all
close all
%in degrees, sin(60)=0.86602540378
sin60deg=0.86602540378;
centerbx=0;
centerby=0;
centerpx=0;
centerpy=0;
rotationp=0;
%given dimensions
LAb=290;
LBb=290;
LCb=290;
LAp=130;
LBp=130;
LCp=130;
Al1=170;
Bl1=170;
Cl1=170;
Al2=130;
Bl2=130;
Cl2=130;
bb=2*LAb*sin60deg;
bp=2*LAp*sin60deg;
lbb=sqr... |
function Xlr = solve_Xlr(y,Xl,D,G,Wl_old,Wr_old,Xr_bar_total,Xlrold,lambda3,lambda4,lambda5)
%minimize sum||yhat - Xlr*Wlr|| + lambda3 * 1/D*
%sum_{i<j}||Xlr_total(i,:) -Xlr_total(j,:)||_{2} + lambda4*||Xlr_total - Xr_bar_total||_{F}
r = length(y);
n = length(y{1});
dr =... |
function imPxv = stackToPxv(imStack)
% STACK TO PIXEL VECTORS: Turn a stack of images X * Y * C * F into a set of
% flattened image vectors, respecting category boundaries, (X*Y) * C * F.
%
% Inputs:
% imStack - a stack of images X pixels * Y pixels * C categories* F frames
%
% Outputs:
% imLinear - a matrix (X * Y... |
classdef batteryTypeSelection < int32
% Battery type selection definition.
%
% Copyright 2020 The MathWorks, Inc.
%
enumeration
Pouch (1)
Can (2)
CompactCylindrical (3)
RegularCylindrical (4)
end
methods(Static)
function map = display... |
function [intervals, point_cloud] = BC_compute_intervals(image, max_dimension, num_divisions, num_landmark_points, nu, threshold, init_MFV, max_stream_size, show_messages)
%BC_compute_intervals Computes Betti intervals given an image
% Default values:
% max_dimension = 3
% num_divisions = 10
% num_l... |
%==============================================================
% FileName: get_org_wei.m
% Description: Get original gauss weight in 12 gauss integral points
% Author: Changhao Li
% Date created: 18 Jul 2017
% Version: 1.00
% Date last revised: 18 Jul 2017
% Revised by: Changhao Li
%===========================... |
function test_costfunction_forums ()
epsilon = 1e-4;
% CTA Colin Beckingham
% https://class.coursera.org/ml-005/forum/thread?thread_id=943#post-4641
[J grad] = costFunction([0 1 0]', magic(3), [1 2 3]');
assert( J, -7.5600, epsilon );
assert( grad, [-4.3907 -7.7678 -4.2202]', epsilon);
% Me - non-squar... |
speed_kps = 300000
year_sec = 365 * 24 * 60 * 60
lightyear_km = speed_kps * year_sec
earth_to_sun_km = 150e6
earth_to_sun_sec = earth_to_sun_km/speed_kps
earth_to_sun_minute = earth_to_sun_sec/60 |
function [ u ] = Step( x )
u= 0 * x;
u(x >= 0) = 1;
end
|
function [results] = fast_reg_old(wfs)
num_clust = size(wfs,1);
fs = 30000;
for jj = 1:num_clust
wf = [];
wf = wfs(jj,:);
[~,ix_abs_max] = max(abs(wf)); %Find ix of the maximum abs value
if wf(ix_abs_max)<0
wf = -wf; %If the max is negative, invert the spike
end
[peak_val,ix_peak] = max(... |
%% SpectrHomemade Function
function SpectrHomemade(Signal_1,Signal_2,Fps_1,Fps_2,WindowSecond_1,WindowSecond_2)
hold off;
Length_1= size(Signal_1,2); %Number of frame in the signal
WindowFrame_1=ceil(Fps_1*WindowSecond_1); %Size of window, in frames
Overlap_1=0; %Size of overlap, in seconds (not yet implemented)
nWind... |
clear;clc;
Data = csvread('Q1.csv');
X = Data(:,1:2);
label = Data(:,3);
classminus = X(label==-1,:);
classplus = X(label==1,:);
%% Data Test and Train
X_test = X(1:0.1*size(X,1),:);
label_test = label(1:0.1*size(X,1),:);
X_train = X(0.1*size(X,1)+1:end,:);
label_train = label(0.1*size(X,1)+1:end,:);
% forest = Tree... |
function [FNN] = fcnFNN(x,tao,mmax,rtol,atol)
%x : time series
%tao : time delay
%mmax : maximum embedding dimension
%reference:M. B. Kennel, R. Brown, and H. D. I. Abarbanel, Determining
%embedding dimension for phase-space reconstruction using a geometrical
%construction, Phys. Rev. A 45, 3403 (1992).
%autho... |
function demoQuadBowl(x)
|
%% Function Name: clockHands
%
% Test Cases:
[out1, out2] = clockHands(6, 45, 10);
[out1_soln, out2_soln] = clockHands_soln(6, 45, 10);
match1a = isequal(out1, out1_soln);
match1b = isequal(out2, out2_soln);
match1 = match1a & match1b;
[out3, out4] = clockHands(4, 45, -30);
[out3_soln, out4_soln] = clockHands_soln(4, ... |
clear all
clc
simming = 1;
a=1;
b=0;
p=0;
w_1=pi/5;
w=pi/5;
window=[-10 10 -1 1];
init_x_p=-9.9;
init_x_p_dot=1;
%{
%----alpha, beta, gamma motion generation-------
simtime=0.55;
sim 'abg_x_p1.slx'
%plotting proposed path and alpha on that path
x_p_path=window(1):0.001:window(2);
y_p_path=a*cos(w*x_p_path ... |
% spectral code 2x2
% WITH FADING
%
% r=Hs+n
%
function ber = ber_spec_F(SNR)
%N_BLOCKS=10e1;
%BLOCK_SIZE=10e3;
%N_SAMPLES=N_BLOCKS*BLOCK_SIZE;
load precision.mat
pl=zeros(2,2);
s=zeros(1,BLOCK_SIZE);
r=zeros(1,BLOCK_SIZE);
y=zeros(2,2);
s_hat=zeros(1,BLOCK_S... |
%% initialization
clc
clear all
close all
% Create a serial object. Change the string to the port name on your
% computer.
s = serial('/dev/tty.usbserial-A601EW9I');
s.BaudRate=19200;
%% Read Data
ROW = 480; % previous value is 1000
LINE = 65;
%open the serial port. If this line throws an error, ... |
clc;
clear;
close all;
%% Problem formulation
%% Thermal Power Plants
X_limit=[200 450
150 350];
X_min = X_limit(:,1)';
X_max = X_limit(:,2)';
PD = 800;
alpha = [500 400];
beta = [5.3 5.5];
gama = [0.004 0.006];
%% Wind Power Plants
No_Turbine = 50;
Pr = 4; % rated power each turbine
Vin = 3;... |
function M = resolve(Grille, lignes, colonnes)
for a = 9:-1:1
for b = 9:-1:1
i = lignes(b);
j = colonnes(a); % On parcourt toutes les cases dans le sens inverse à celui de la génération des trous
if(Grille(i,j) == 0) % Pour chaque ... |
function [f, df] =dissimilarity(f_f,f_m,x,Dissimilarity_Metric)
% x 表示 控制点 or 像素点 标号
D = length(x);
% spacing : pixel (voxel)'s physical dimensions δn ,n=1,2...N
v=prod(spacing);
switch Dissimilarity_Metric
case 'SSD'
[f, df] =SSD(f_f,f_m,v);
case 'LCC'
... |
function [r2ln,bddls,surrFeat,surrBurstWave] = bddlSurrogate(dataStore,n_surr,R,featEmp)
frq = R.obs.trans.bursts.frq;
fsamp = R.IntP.dt^-1;
[surr,params] = surrogate(dataStore(:)', n_surr, 'IAAFT2', 0, fsamp);
% % Plot example
% % tvec = linspace(0,size(surr,2)/fsamp,size(surr,2));
% % plot(tvec,dataStore(:))
% ... |
function comp_g_l = fourth_tempx()
% Ryan George
% VIGRE, Rice University
% This code naively recovers time-integrated V from initial and Neumann
% data, then seeks to replicate g_l(x) using this data
%
a = 1; %micro_m
a = a/(1e4); %cm
C_m = 1; %microF/cm^2
l = .1; %cm
dx = 5e-4; %cm
x_grid = (0:dx:l)';
Nx = numel(x_... |
%% opening 3 times
im=double(imread('D:\Users\Lenovo\Desktop\pic\binary_img\binary (21).gif'));
subplot(1,3,1);
image(im*255);
colormap(gray(256));
%% erosion
[m,n] = size(im);
for i = 2:m-1
for j = 2:n-1
im1(i,j) = im(i,j) & im(i-1,j) & im(i+1,j) & im(i,j-1) & im(i,j+1);
end
end
%% er... |
function a=ijsparse(d,x,r,v)
% convert matrix from ij to column sparse format
% in:
% d vector [number of rows; number of columns; number of nonzeros]
% x index
% r row indices
% v entry values
% out:
% a matlab sparse matrix
%
% row indices for column j are r(x(j):x(j+1)-1)
% ... |
function [radar] = tsp_Nearest_PAR(radar)
%function [a_mr_bigstar] = Nearest_PAR(z,rho,c)
%Nearest_PAR returns the nearest a
%
%% Initialization
Mr = radar.Tx;
A = radar.codematrix;
d = radar.codelength;
for mr = 1:Mr
rho_mr = radar.gamma_r(mr);
z_mr = A(:,mr);
z_nor_mr = normalize(z_mr,'norm',2);
c = ... |
% Surface 类为各类（x,y,Z）数据提供插值和绘制方法
% Surface 的Z为简单值，不允许用于对象（暂定如此，使用中据实际情况再推敲）。
% 针对M2TK提供特定转换方法
% 计算拟合曲线的参数。
% 提供曲线上个点取值的计算方法
classdef MatrixSurface < Matrix2DBase
properties
N_fit_exponent = 2;
x_fit_args = [];
y_fit_args = [];
end
methods
% 构造函数:K的数量和T的数量
function su... |
function [bdctimg]=hopfieldnet(spimg,targetimg,T)
%Hopfieldnet: calculate the best BDCT with hopfield network
%intput images are square and multiple of 8
%Initialization
A=1500;
B=600;
C=10;
u0=300;
M=3;%maximum modification of coeff
flags=-M:-1;
flags=cat(2,flags,1:M);
L=4;%Process L lines a time
stack... |
%% 另外定义tempPSNR2的意义，是因为之前FSR_ADMM产生的数据在tempPSNR里面，想用一下，放到tempPSNR2里面的第一列
clc
clear
close all
% figure;
% text(.5, .5,'hello, i''m qwe');
% axis off;
% orient tall;
% print(gcf,'-r300','-dpdf','a.pdf');
tempPSNR=zeros(800,5);%专门针对ADMM，只有第一列有用
% tempPSNR2=zeros(800,5);%专门针对SADMM，第一列无用,间隔0.1，从0.4-0.7
% tempPSNR... |
function v=cell2vec(c)
% v=cell2vec(c)
% Flatten a cell array of matrices to a vector
[m,n]=size(c);
v=[];
t=sum(sum(cellfun(@numel,c)));
v=zeros(t,1);
k=0;
for j=1:n
for i=1:m
s = size(c{i,j});
e = prod(s);
v(k+1:k+e)=reshape(c{i,j},[e,1]);
k=k+e;
end
end
if t~=k,
error('in... |
function obj = viewMovieFiltering(obj)
% Allows testing of spatial filtering.
% Biafra Ahanonu
% branched from controllerAnalysis: 2014.08.01 [16:09:16]
% inputs
%
% outputs
%
% changelog
% 2021.08.10 [09:57:36] - Updated to handle CIAtah v4.0 switch to all functions inside ciapkg package.
% TODO
%
im... |
function SOS=zp2sos12(z,p,k,posneg,tol)
z=cplxpair(z(:));
p=cplxpair(p(:));
% cancel unnecessary roots:
c=unique12(p,tol);
for s=1:length(c)
idxz=find(abs(z-c(s))<=tol);
idxp=find(abs(p-c(s))<=tol);
nnn=min(length(idxz),length(idxp));
p(idxp)=mean(p(idxp));
z(idxz)=mean(z(idxz));
p(idxp(1:nnn))... |
% 计算给定的像素周围像素情况
function mexforeverypix=Calcul_around(i,j,I)
mexforeverypix(9)=i;
mexforeverypix(10)=j;
[w,h]=size(I);
if i>2&&i<w&&j>2&&j<h
if I(i-1,j-1)>0
mexforeverypix(1)=1;%左上角
end
if I(i-1,j)>0
mexforeverypix(2)=1;%上
end
if I(i-... |
function epochs = compute_average_for_different_timing(epochs,eventOfInterest)
%COMPUTE_AVERAGE_FOR_DIFFERENT_TIMING Summary of this function goes here
% Detailed explanation goes here
end
|
function [C, sigma] = dataset3Params(X, y, Xval, yval)
%EX6PARAMS returns your choice of C and sigma for Part 3 of the exercise
%where you select the optimal (C, sigma) learning parameters to use for SVM
%with RBF kernel
% [C, sigma] = EX6PARAMS(X, y, Xval, yval) returns your choice of C and
% sigma. You should co... |
function [value, vector] = eigen(matrix)
[value, vector] = eig(matrix)
end
|
%CODIFICAÇÃO RS 64QAM - TEORIA
N = 63; % Tamanho da palavra código
K = 51; % Tamanho da mensagem
M = 64; % Ordem da Modulação
ebnoVec = (-10:40)';
berapprox = bercoding(ebnoVec,'RS','hard',N,K,'qam',64);
semilogy(ebnoVec,berapprox,'k--')
legend('Curva Teórica - RS(63,51) | 64QAM','Location','southwest'... |
function varargout = CardGame(varargin)
% CARDGAME MATLAB code for CardGame.fig
% CARDGAME, by itself, creates a new CARDGAME or raises the existing
% singleton*.
%
% H = CARDGAME returns the handle to a new CARDGAME or the handle to
% the existing singleton*.
%
% CARDGAME('CALLBACK',hO... |
function img = EdgeDetector(image, method)
%
% Calculates the a 3 x 3 Prewitt or Sobel Edge Detector given an input image
%
% img = output image (edge-detected)
% image = input image name as string
% method = string ’sobel’ or ’prewitt’
%
% This function should call PrewittGradDetector.m or SobelGradDetector.m
%
% Care... |
for a = 1:3
for b = a+1:4
for c = b+1:5
%choose mixture
%BenzeneTolueneEthylbenzeneStyreneMethylstyrene;
%letter = 'A';
%EthanolIso_1PropanolIso_1Butanol;
%letter = 'B';
HexaneHeptaneOctaneNonaneDecane;
letter = 'C';
... |
function [aii,n,cod,upred,zpred,delta] = fitPowerLawFull(u,z,fixn,h)
% This function fits a power law of the form u = aii*z^n to the given data
% and returns the constant coefficient aii, the exponent n, and the coef of determination cod. The user has the
% option to fix the value of n to 1/6 by setting 'fixn' = ... |
%
% Mathematical model of the movement of the ship in the water
% with influence of wind, current and waves
%
% (c) by Oliver Baur
% see documentation in ship3
clear all; close all; clc;
% changeable variables
% ---------------------------------
% simulation variables
T_sim = 50; % [s] time of simula... |
%hvweight - issue 1.2 (02/02/09) - HVLab HRV Toolbox
%---------------------------------------------------
%[weightedTH] = hvweight (unwtdTH, wname, nublim)
% Applies a specified frequency weighting to time history(s) in an HVLab
% data structure
%
% weightedTH = HVLab data structure containing weighted time hi... |
function [ h ] = rotx( a )
%ROTX Summary of this function goes here
% Detailed explanation goes here
h = [1 0 0; 0 cosd(a) -sind(a); 0 sind(a) cosd(a)];
end
|
%% Stelling 7
%
% Als je van te voren weet hoe vaak een lus moet worden
% herhaald, gebruik je een while-lus.
%
Antwoord = 0;
|
function obj = get_type_of_java_object(value)
arr_list = java.util.ArrayList;
if iscell(value)
obj = 'ArrayList<';
in = '';
in = get_type_of_java_object(value{1,1});
obj = [obj in '>'];
return;
end
if isempty(value)
obj = '';
return;
end
if isnumeric(value)
if(size(value,2) > 1)
... |
clc;
clear all;
close all;
data_temp=xlsread('cancer.xlsx');
global data_test
global k
data=fun_norm1(data_temp);
num_data=size(data,1);
rate_train=0.75;
n=size(data,2);
num_class=2;
data_train=[];
data_test=[];
num_train_all=0;
num_test_all=0;
epoch_max=200;
num_class_zero=find(data(:,n)==0);
data... |
% ADVISOR Data file: VEH_ORIONVI.M
%
%
% Data source: Briefing Packet, Paul Norton (NREL) 10/29/98
%
% Data confidence level: {provide details as to how well the data
% represents the source data.}
%
% Notes: {include any other comments pertaining to the data or use
% the data}
%
% Created on: 11/4/98
% By: To... |
function [rl,brep] = demodulatePPMperso(sl,Fse)
%UNTITLED5 Summary of this function goes here
% Detailed explanation goes here
p = [];
for i=1:Fse
c=-0.5;
if i<=floor(Fse/2)
c=0.5;
end
p = [p c];
end
rl = conv(p,sl);
brep = [];
for k=1:(length(rl)+1)/Fse-1
c=0;
if rl(k*Fse-1)... |
mri = load('./Data/mri.mat');
params = load('./Data/params.mat');
dum = load('./Data/dummyData.mat');
% tryout = myKMeans(dum.D, 5, 10);
% input('c');
%
% klustri = assignDatapoints(tryout, dum.D);
% figure();
% plot(dum.D(1,klustri==1),dum.D(2,klustri==1), 'go');
% hold on;
% plot(dum.D(1,klustri==2),dum.D(2,klustri... |
% Y = VEC2MAT(x,m,n)
% Given a vector of length m*n, this produces the m x n matrix
% Y such that x = mat2vec(Y). In other words, x contains the columns of the
% matrix Y, stacked below each other.
%
% See also mat2vec.
function X = vec2mat(y,m,n)
X = reshape(y,m,n);
end |
function [X, flag, iter, res] = SSOR(A, B, omega, tol, maxIter, X0)
% SSOR Solve linear system using symmetric successive over-relaxation.
% X = SSOR(A, B, OMEGA) attempts to solve the linear system A*X=B for X,
% where A is a N-by-N matrix and OMEGA is the relaxation factor. This
% method is similar to SOR but... |
function mywork()
clear;
%==========================================================================
% Load Data Set In Matrix and Initilize The Matrix
z=load ('iris.txt'); % eta=0.00005 eps=3.5
z3=z;
z(:,5)=[]; %used with iris dataset to remove coulmns number ... |
%parameters
n=8;
d=0.01;
alpha=pi;
%init vectors with coordinates of the polygon
x=zeros(1,n);
y=x;
for i = 1:n
fi=alpha+2*(i-1)*pi/n; %change angle for the next vertex
x(i)= -sin(fi); %initial x coordinates
y(i)= cos(fi); %initial y coordinates
end
%draw polygon
shapex=x(1:n);
shapex(n+1)=x(1);
shapey=y... |
function [x, A, A_star,ThroatLoc,y] = getNozzle6(leng,Ed,Post_Length,Throat_Radius, endlength, divpm, minpt)
% Returns: x (position [m] along the nozzle)
% A (Area [m^2] along the nozzle at each x)
% A_Star (Area [m^2] of the throat)
% ThroatLoc (Location of the throat [m])
%
% Inpu... |
% Foundation Class: SYData < SYObject.
% Written by Satoshi Yamashita.
% Fundamental Class of data which stores variable and provides synchronous
% use of it among multiple objects.
classdef SYData < SYObject
properties (Constant)
EventNameVarChanged = 'SYDataVarChanged';
end
properties
var = [];
end
methods
... |
function [ output ] = fun_binary_img( I )
%FUN_BINARY_IMG Summary of this function goes here
% Detailed explanation goes here
BW = im2bw(I,level)
BW = im2bw(X,cmap,level)
BW = im2bw(RGB,level)
end
|
function [yfit,roi] = NP_fit(x,y,w,xfit)
% Do a linear regression of the two parameters weighted with the variance explained
if isempty(w)
w = ones(size(y));
end
roi.p = linreg(x,y,w);
roi.p = flipud(roi.p(:)); % switch to polyval format
yfit = polyval(roi.p,xfit); % %xfit_tmp = linspace(xfit_range(1),xfit_range... |
function util_loop_check_file( data_filename )
%UTIL_LOOP_GET_FRACTAL_PARAMETERS Get DFA/Hurst Exponent/Minkowski
%Dimension of each file.
%util_perform_op_in_directory( 'E:\pu\Data', '[cc_matrix xc_matrix
%mi_matrix nmi_matrix sync_matrix bc_cc bc_xc bc_mi bc_nmi bc_sync] =
%util_loop_calc_topo( %file, %dir, 28 )... |
function best_direction = findBestDirection( best_movement )
if best_movement == 1
best_direction = 'up';
else if best_movement == 2
best_direction = 'right';
else if best_movement == 3
best_direction = 'down';
else
best_direction =... |
function [ ] = thecannon_xvalidate_labels( label1, label2, labelname1, labelname2 )
% Written by: Bo Zhang (NAOC, bozhang@nao.cas.cn)
% Last modified: 23-Jun-2016
%
% Aim:
% - start a parpool/matlabpool
% Example:
% -
% -
% INPUT:
% -
% -
% OUTPUT:
% -
% -
% HISTORY:
% -
% -
if nargin =... |
close all
clear all
disp('Loading data ............')
%% Data loading part
array='AU';
f=['v_' array '.txt'];
v=load(f);
f=['t_' array '.txt'];
t=load(f);
f=['stnlat_' array ];
stnlat=load(f);
f=['stnlong_' array ];
stnlong=load(f);
f=['P_time_' array ];
P_time=load(f);
f=['Cross_correlation_' array '.txt'];
Cr... |
clear;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Constants.
xlsFile = 'preprocess.xls';
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Import data.
[i2m i2m_labels] = xlsread(xlsFile, 'i2m');
[m2o m2o_labels] = xlsread(xlsFile, 'm2o');
[p2o p2o_labels] = xl... |
close all
clear
clc
nc = 255;
d = 100;
l = 80;
obj_height = 20;
std_noise = 4.5;
filtered = 1;
nave = 3;
az = -49; % azimuth
el = 28; % elevation
showfig = 1;
x = linspace(-nc/2, nc/2, nc);
% generate parabola surface
z = zeros(nc, nc);
for i=1:nc
for j=1:nc
z(i,j) = -((x(i)^2) + (x(j)^2));
end
en... |
function [x, t] = sliceSiamData(x,idxs,ndims,datatype)
if ndims == 2
x.x1 = x.x1(idxs,:);
x.x2 = x.x2(idxs,:);
else
x.x1 = x.x1(:,:,:,idxs);
x.x2 = x.x2(:,:,:,idxs);
end
x.x1 = feval(datatype, x.x1);
x.x2 = feval(datatype, x.x2);
x.t = feval(datatype, x.t(idxs,:));
t = x.t; |
function [K,h] = lqrsp_fista(A,B,W,Q,R,Lambda,K0,params)
[m,n] = size(K0);
K = K0;
Kp = K0;
tnu = 1;
tic;
for t=1:params.max_iters
if tnu == 1
[At,U,S,V,nu] = lqrsp_eig_deflate(A, B*K, params.max_eig_limit);
else
At = A;
nu = 0;
end
% Calculate the Lyapunov equations and the gradient
if params.a... |
function [ new_cbr ] = retrieve( new_case, cbr )
%inserts case to cluster and updates similarities
%set threshold
t = 0.9;
%store duplicates
duplicates = {};
%initialise
for c = 1:length(cbr.clusters)
clusters(c).no = c;
clusters(c).cluster = cbr.clusters;
clust... |
%
%main program for reading and fusing c3d feature
clear;
%%setting path of c3d feature
rgbvalidationC3dPath = '../python/feature/test/rgb';
depthvalidationC3dPath = '../python/feature/test/depth';
%%setting path
depthvalidationFeaturePath = 'iso_validation_only_hand_depth_map_2stream.mat';
rgbvalidationFeaturePath =... |
% Help calculate GC from spectrum
% S is p*p*fftlen matrix
function S3 = whiteS(S)
if size(S,1)~=size(S,2)
error('S shoule be p*p*fftlen matrix');
end
[H11 de11] = S2H1D(squeeze(S(1,1,:)));
[H22 de22] = S2H1D(squeeze(S(2,2,:)));
S3 = zeros(size(S));
for k = 1:size(S,3)
iH = [1/H11(k), 0; 0, 1/H22(k)];
S3(:... |
%CLIQUETREECALIBRATE Performs sum-product or max-product algorithm for
%clique tree calibration.
% P = CLIQUETREECALIBRATE(P, isMax) calibrates a given clique tree, P
% according to the value of isMax flag. If isMax is 1, it uses max-sum
% message passing, otherwise uses sum-product. This function
% returns... |
function deleteObjects(session, ids, type)
% DELETEOBJECTS Delete objects of a given type from the OMERO server
%
% objects = deleteObjects(session, ids, type) returns all the objects of
% the specified type, identified by the input ids. All annotations (tags,
% files...) linked to the objects will either be dele... |
% ADVISOR data file: VEH_Highlander.m
%
% Data source:
%
% Data confirmation:
%
% Notes: Defines road load parameters for a Toyota Highlander.
%
% Created on: 04/07/03
% By: Tony Markel of NREL, tony_markel@nrel.gov
%
% Revision history at end of file.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function obj = firingrate(varargin)
% constructor for firingrate class
% OBJ = firingrate(varargin)
%
% example as = firingrate('save','redo')
%
% dependencies: adjspikes, stiminfo
Args = struct('RedoLevels',0,'SaveLevels',0,'Auto',0,...
'Binsize','frame','Repetitions',0,'Fit',0,'BootStrap',0,...
'NumBoots'... |
% Returns constructor function handle for a stimulus generator with the given id and version. This function assumes:
% - The identifier ends with the generator's class name.
% - Older versions of the generator exist on the MATLAB path with the suffix '_v[VERSION_NUMBER]', e.g. PulseGenerator_v1.
function construct... |
clear;
clc;
close all;
!synclient HorizTwoFingerScroll=0
addpath('../sensor_models/');
addpath('../controllers');
addpath('../solvers');
addpath('../trajectory_generator');
addpath('../classes');
addpath('../utilities');
addpath('../');
addpath('../../matlab_utils/src/');
%% User commands : Final time, time step, so... |
% One channel implementation of the LMS algorithm
clear all;close all;
[sig,fsd]=audioread('queen.wav'); % Reading music file with a noise
sig2 = awgn(sig(:,1),40);
ylen=length(sig2);
d=150; % Large delay to make noise uncorrelated as possible
sig_del=zeros(ylen,1);
sig_del(d:ylen)=sig2(1:ylen-d+1); % Delayed signal, I... |
function [img] = ivec3(vec, sz)
%IVEC3 Utility, vectorized RGB image back to image (inverse of vec3)
img = reshape(vec, sz(1), sz(2), [], IF(numel(sz)>=4, @()sz(4),1)); % works with multiple stacked RGB images (return image with dims H-W-C-N)
end
|
function pop = qh_initialFcn(GenomeLength, FitnessFcn, options, A, vertexPosInTopology)
% 自定义的初始化种群函数
% 额外输入参数：
% A -- 邻接表
% disp('种群初始化开始')
totalPopulationSize = sum(options.PopulationSize);
% pop = cell(totalPopulationSize,1);
pop = [];
for i=1:totalPopulationSize
pop = [pop; genChromosome(A)]; % 初始化种群(向种群中添加... |
function roidb = roidb_from_nyu(imdb)
% roidb = roidb_from_voc(imdb)
% Builds an regions of interest database from imdb image
% database. Uses precomputed selective search boxes available
% in the R-CNN data package.
%
% Inspired by Andrea Vedaldi's MKL imdb and roidb code.
% AUTORIGHTS
% ---------------------... |
function QuarTestPlot(Outbreak_tot,Quar_tot,Test_tot,casenames,case_ind)
subs = gobjects(1,2);
kk_cases = length(casenames);
del = 0.15;
f = figure('Position',[100,100,1100,900]);
for ii = 1:2
if ii == 1
analysant = Test_tot;
titlestr = 'Tests';
xlab = 'Tests per Day';
else
... |
function [SNRdB,sigma] = caprate(channel,r)
% function [SNRdB,sigma] = caprate(channel,r);
%
% determine the capacity of either an awgn channel or
% a binary awgn channel.
%
% This is done by solving for the sigma for which capacity(sigma) = rate
% where capacity(.) is the appropriate capacity function
%
% channel i... |
% function [probs, labels_idx] = doRandomWalk(W, img, seeds, cross_num, alpha)
% % do random walk segmentation for supervoxel
% % cross_num : number of compute frames once a time
%
% % parameters
% [X, Y, ~] = size(img);
% N = X * Y;
% Num = cross_num * N;
% W = sparse([W(:,1); W(:,2)], [W(:,2); W(:,1)], [W(:,3); W(:,... |
function [ r ] = datafill( bars, idx )
%DATAFILL 填充空白数据，使在时间上更完备
% inputs:
% bars: 原数据，Bars体
% idx: 1为股指期货数据，2为股票指数数据
% outputs:
% r
% ver 1.0 , luhuaibao
Date=unique(floor(bars.time)); % 提取交易日期
Date(end)=[]; % 所给数据最后一个交易日只有一个时间存在，直接删掉
ReferenceDate=repmat(Date,270,1);
ReferenceDat... |
% Digital Communication Lab 1
% VUB BRUFACE
% Yu Liu, Bohan Zhang, Xianjun Mao
%
% Lab 1
% Channel charateristic estimation
% -> coherence frequency and PDP
%% Init
clear all
addpath('functions/');
addpath('misc/');
flags.N_line = 10; % how many points in a line
flags.N_bins = 501; % the number of bins
flags.N_pts... |
%% PANEL DEMO 9
%%
%% (a) Create an empty panel object
%% (b) Packing a grid of panels into a parent panel
%% (c) Plotting into multiple panels
%% (d) Selecting a panel using an existing axis
%% This extended usage of panel.select() was suggested by Arthur
%% Ward.
%% (a)
% clear or create figure and create root ... |
function cellsort = sbxPullSignalsCoreDFF(cellsort, fps)
fr_number = length(cellsort(1).timecourse.raw);
nROIs = size(cellsort,2);
%% Now calculate dFF using axon method
% Calculate f0 for each timecourse using a moving window of time window
% prior to each frame
f0_vector = zeros(nROIs, fr_n... |
%
% cris_test5 -- compare AIRS CrIS with true CrIS
%
% reference truth: start with kcarta radiances, convolve to the
% CrIS user grid, and call the result "true CrIS".
%
% deconvolution: start with kcarta radiances, convolve to AIRS
% channel radiances (“true AIRS”), deconvolve to an intermediate
% grid, e.g. 0.05 ... |
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