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function [trainIdx,testIdx] = stratifiedIndices(DmatY,proportionTrain)
classes = unique(DmatY);
trainIdx = cell(1,numel(classes));
testIdx = cell(1,numel(classes));
for d = 1:numel(classes)
classidx = find(DmatY==classes(d));
shuffIdx = classidx(randperm(length(classidx)));
trainIdx{d} = shuffIdx(... |
mispracticas;
[t, u]= mirk4(tinic, tfin, N, x0, fun, par);
misgraficas; |
function fighandle=dockfig(varargin)
% fighandle=dockfig(figs) DOCK one or more FIGures.
% "fighandle" is an array of handle numbers for the figures.
% "figs" is an array of figure handles.
% If "figs" is empty then all figures are docked.
% Examples:
% figh=dockfig([4,3,5]), dockfig, dock... |
%% Gaussian
function GaussianBlur(GreyWindowWidth, sigma)
fprintf('\n高斯模糊处理中···\n');
global img hImage skin;
skin = SkinDetection(img,0);
img_a = imfilter(img,fspecial('gaussian',double(int32(GreyWindowWidth)),sigma));
img_a = uint8(skin).*img_a;
img_b = uint8(~skin).*img;
img = img_... |
function [final_p_clique, final_m_clique, final_pm_clique] = prune_2cliques_complex(vote_both, kinship2, posteriorIBD1, posterior, pairs)
final_p_clique = [];
final_m_clique = [];
final_pm_clique = [];
len = length(vote_both);
if( len == 1 )
final_pm_clique = vote_both;
return;
else
final_pm_clique = vot... |
function [y,indices] = chitest(x,media,covaria,t)
% CHITEST - Test Chi-cuadrado
% Determina las muestras de una poblacion cuya distancia de
% Mahalanobis es menor que el parametro de test
%
% [y,indices] = chitest(x,media,covaria,test_parameter)
%
% y : muestras que cumplen el... |
classdef (Abstract) rlAbstractSolver
% RLABSTRACTSOLVER Abstract RL solver for framework 2.0 dlnetwork.
% Copyright 2019 The MathWorks, Inc.
% This utility will be replaced with DLT FW2.0 external feature.
methods (Abstract)
% LearnableParameters = calculateUpdate(this,Lear... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simple script that performs Y = X + 1.
% To run in serial without distributed arrays, set
% PARALLEL = 0
% At the Matlab prompt type
% pAddOne
% To run in serial with distributed arrays, set
% PARALLEL = 1
% At the Matlab prompt type
% pAddOne
%... |
function [ outputArg ] = tapply( x, list, fName, options, isEvalOption )
% This is a 'dirty' quivalent of the R function
% Apply a function to each (non-empty) group of values given by a unique combination of the
% levels of certain factors.
%
% IN:
% x : a vector
% list : a cell of one or more factors, each of... |
function viralAssemblyModel ()
%% Initial Conditions
% We're setting everything to 0 except the first variable
% The first variable is the copy number of gapped DNA in the nucleus
% This simulates the initial infection
initial = zeros(18,1);
initial(1) = 0.0001;
vol = 75; % Volume of cell
%% Run the simulati... |
function [x] = GaussPP(M,b)
%GAUSSPP A function to perform gaussian elimination
% Utilizaes partial pivoting in gaussian elimination
% This does not keep track of the r vector for performance
A = [M b];
n = size(A);
n = n(1);
% Diagonal iterator
for i = 1:(n-1)
% Partial pivot to max value in the i c... |
function draw_varianceplot(para,title_string,filename,gmmhmm_projectroot,store_path,varargin)
num_of_dists=size(para,2);
disp(num_of_dists);
figure('Name',['Prec. Recl. Plot for ',title_string],'Visible','On');
hold on;
hline = findobj(gcf, 'type', 'line');
set(hline, 'linewidth', 3);
styles... |
function [mwloads, sloads, sresps, mresps]=simul_main(d,N,lam,jtype,sp1,sp2,tau,svals,nruns,runlen)
% jtype =1 => Exponential with mean 1
% jtype =2 => Hyperexponential with mean=1, SCV=sp1, f=sp2
% jtype =3 => Power law jobs with \bar G(w)=w^(-2) => E[G]=2!
% jtype =4 => Deterministic jobs of size 1
% tau = delay on t... |
close all
clc;clear;
%The first problem
num = [1 1.3 2 2.5];
den = [1 0.3 1.2 1];
[A,B,C,D] = tf2ss(num,den);
[z,p,k] = tf2zp(num,den);
%The second problem
num1 = 0.5;
den1 = [0.1 1 0];
den2 = [0.05 1];
[A1,B1,C1,D1] = tf2ss(num1,den1);
[A2,B2,C2,D2] = tf2ss(num1,den2);
[A3,B3,C3,D3] = series(A1,B1,C1,D1,A2,B2,... |
%%%%%%%%%%%%%%%% PLOT SHAPES %%%%%%%%%%%%%%%%
% Plots space-time plots.
% Inputs:
% plotST - sets the type of plots to make
% options: 'plotFour' - plot the local and global shape and motion measures
% options: 'trackingArrow' - plots the tracking mapping
% ... |
function [fnames, neuroncount, conv, fnames_pos, neuroncount_pos, conv_pos, int_pos, pos_pos,...
fnames_neg, neuroncount_neg, conv_neg, int_neg, pos_neg] = Zfactor_script
%First locate the Excel file that CellProfiler spits out (use the one with
%the suffix "Image"
[filename, pathname, filterindex] = uigetfile('*.... |
function [u1_val,u2_val,I_val,sigma_s2] = get_uI(img_patch,mean_s)
% close all;
% figure;
% imshow(img_patch);
I_val = mean(mean(img_patch));
[m,n] = size(img_patch);
sigma_s2 = 0;
k = 0;
for row=1:m-1
for col=1:n-1
k = k + 1;
sigma_s2 = sigma_s2 + (i... |
function [cohval, sigval, bootcoh] = bandcoh(freq1,freq2,cohall,cohbootall,freqsout)
[~, minidx] = min(abs(freqsout-freq1));
a=minidx;
[~, minidx] = min(abs(freqsout-freq2));
b=minidx;
cohall = cohall(a:b,:);
cohbootall = cohbootall(:,a:b,:);
% %take max over time
% cohval = max(max(cohall,[],2));
% boot... |
% Choosing Lenet model as Baseline model
% Specify files to import
protofile = 'lenet.prototxt';
datafile = 'lenet_iter_10000.caffemodel';
% Import network
net = importCaffeNetwork(protofile,datafile)
%Splitting dataset into training & testing data
XTrain = loadMNISTImages('train-images.idx3-ubyte');
YTrain =... |
for n = 1:length(data)
if ~isempty(data(n).av)
tmp = findSpikes(data(n).trace);
data(n).spikes = tmp;
end
end
save('complete_dataset.mat', 'data') |
close all;
% loads:
% hovering equilibr ium (xs,us)
% continuous time matrices Ac,Bc of the linearization
% matrices sys.A, sys.B of the inner-loop discretized with sampling period sys.Ts
% outer controller optimizer instance
load('quadData.mat')
outerController = getOuterController(Ac, 'cplex');
disp('D... |
clear all; close all;
cd E:\sim\saved
% freqzimgs(:,:,:,fr,sc,sb) = zimg;
corrs = load('mc_yes_gsr'); corrs = corrs.mc_yes_gsr;
temp = zeros(size(corrs,1),size(corrs,2),size(corrs,3),size(corrs,4),4,size(corrs,6));
temp(:,:,:,:,1,:) = squeeze(mean(corrs(:,:,:,:,1:2,:),5));
temp(:,:,:,:,2,:) = squeeze(mean... |
%% align data by sm3 method
% Author: Xiaochen Qiu from Beihang Univ.
% Reference: "Least-Squares Estimation of Transformation Parameters
% between Two Point Patterns"
% Announcement: Not debug free. Feel free to do any modifications and
% use it at will
%... |
function res=linearf(inp)
t=3;
inp=imread(inp);
in=inp;
for i=1:t
si=size(inp);
res=zeros(si);
for j=2:2*si(1)-2
for k=2:2*si(2)-2
a=floor(j/2);
b=floor(k/2);
res(j,k)=sum(inp(a:a+1,b))/2;
end
end
... |
function [ULcomm_op, radar_op,cov_op] = tsp_altermating_projection_UL...
(ULcomm, radar,radar_comm,cov)
ell_max = radar.ell_max;
ell = 1;
radar_op = radar;
ULcomm_op = ULcomm;
I_total = zeros(ell_max,1);
I_total_op = zeros(ell_max,1);
I_UL_op = zeros(ell_max,1);
I_radar_op = zeros(ell_max,1);
I_UL = ULcomm.alpha_UL.*U... |
function [t_ref,errors,t_span,X] = test_dynamics_PVTOL_LQR(N_itr,do_plot,model,t_ref,x_opt,u_opt,x0)
%Simulate with TV-LQR controller
close all;
%% Load model
if strcmp(model,'ccm')
load(strcat('PVTOL_Dyn_Functions_',num2str(N_itr),'_new','.mat')); %f, B
else
load(strcat('PVTOL_',model,'_Dyn_Functions_',num... |
classdef CompareFieldDataFilter < DataFilter
% implements an abstract one-field compared to one-value type filter
properties(SetAccess=protected)
value
end
methods(Abstract)
% return a token describing this comparison, e.g. '==', '>', etc.
str = getOperatorString(filt);
% ... |
function y_out = polyNum(xin,coeffs)
sum=0;
for k=1:length(coeffs)
prod=coeffs(k);
for j=1:k-1
prod=prod.*xin;
end
sum=sum+prod;
end
y_out=sum;
end
|
classdef InputObj
%INPUTOBJ
% Object for handling input options and parameters
properties
ModelParams
WaterParams
temperature_source
chla_source
DOC_source
MeHg_source
tstart
tend
SpeciesParams
SpeciesNames
FeedP... |
function col = get_col_by_name (head_str, col_str)
n = find (head_str == ',');
x = min (strfind (head_str, col_str));
col = min (find (n - x > 0));
|
% This file creates an simplified network outline for the two archipelagos
Seaforth_centroids = [ 166.9275 -45.7254
166.8345 -45.7325
166.79 -45.75
166.6955 -45.76
166.58 -45.78
166.625 -45.7... |
function [derivt] = derivativet(mat,NodesT,dt)
derivt = zeros(NodesT,1);
for j = 1:(NodesT)
if j == 1
derivt(j) = (mat(j+1)-mat(j))/(dt);
else if j == NodesT
derivt(j) = (mat(j)-mat(j-1))/(dt);
else
derivt(j) = (mat(j+1)-mat(j-1))/(2... |
function avg = win_average(AVG_WIN, sig_val)
mask = ones(1, AVG_WIN)./AVG_WIN;
avg = conv(sig_val, mask,'same');
end
|
% batch script to collect and plot co-occurrence data
%%
cfg = []; cfg.rats = {'R042','R044','R050'};
cfg.requireCandidates = 1;
fd = getTmazeDataPath(cfg);
cfg.prefix = 'CC_PRE';
cfg.what = 'SWRz'; % 'SWRz', use only the data for co-occurrence during candidate events
cfg.sessions = {'food','water'};
cfg.arms = {'le... |
function[state, type] = getstatetype(no1, no2);
states = {' Andhra Pradesh',' Arunachal Pradesh',...
' Assam',...
' Bihar',...
' Chhattisgarh',...
' Goa',...
' Gujarat',...
' Haryana',...
' Himachal Pradesh',...
' Jammu and Kashmir',...
' Jharkhand',...
' Karnataka',...
' Ke... |
if ( ~exist ( 'VARARGIN_VARIABLES', 'var' ) )
error ( '## VARARGIN assignment script requires variable VARARGIN_VARIABLES' );
end
% Get parameters
iVarArginAssignmentIdx = 1;
while ( iVarArginAssignmentIdx <= length(varargin) )
iVarArginVariableIdx = 1;
bFound = false;
while ( ~bFound && ( iVarArgi... |
function [area,error,ErrorEst] = simpson(x1,x2,fun,df4)
h=abs(x2-x1)/2;
xm=(x2+x1)/2;
area=(h/3)*(fun(x1)+4*fun(xm)+fun(x2));
error=abs(integral(@(x)fun(x),x1,x2)-abs(area));
ErrorEst=abs((x2-x1)^5/90*fminbnd(@(x) -1*df4(x),x1,x2));
end
|
function pOpt = find_social_opt(follows, langs, logt, constants, global_k, p0)
%% Find social opt (quite fast)
[n,m] = size(follows);
if nargin >= 6
pOpt = p0(1:n);
else
pOpt = rand(n,1);
end
options = optimset('GradObj','on','Display','iter',...
...'DerivativeCheck','on',...
'H... |
function radar_detectorscript(varargin)
%RADAR_DETECTORSCRIPT Controls the Stateflow Markov Chain Demo HTML page
% RADAR_DETECTORSCRIPT(action) executes the hyperlink callback associated with
% the string action.
%
%% BUSDEMOSCRIPT(action,blockName) is used for the hiliteblock action. blockName
%% contai... |
function xl = matL(xl,L,dim,pop_size)
l=reshape(L',1,dim);
for i=1:pop_size
for j=1:dim
if l(j)==0
xl(i,j)=0;
end
end
end
end
|
# Traitement d'Image
pkg load image
# TP5
# 1 - Prise en main
[sinus, map_sinus, alpha_sinus] = imread("data/sinus.png");
[monde, map_monde, alpha_monde] = imread("data/monde.png");
[dominos, map_dominos, alpha_dominos] = imread("data/dominos.png");
[lena, map_lena, alpha_lena] = imread("data/Lena_nb.jpg");
[manhat... |
function [value] = tobeoptimized(shortened_params)
global setts;
params = expand(setts, shortened_params);
setts.pi0 = params(1,1);
setts.sens1 = params(1,2);
setts.spec1 = params(1,3);
setts.vartheta = params(1,4);
if strcmp(setts.object,'mode')
[theta, ll, exitflag] = Postmaxest();
elseif strcmp(sett... |
function [ A_hat, E_hat, iter, logData ] = inexact_alm_rpca( D, lambda, opts )
% Oct 2009
% This matlab code implements the inexact augmented Lagrange multiplier
% method for Robust PCA.
%
% D - m x n matrix of observations/data (required input)
%
% lambda - weight on sparse error term in the cost function
%
% tol - t... |
Gr = reducedTransitionMatrix(G);
[U, D] = eig(Gr);
p0 = zeros(1,5);
p0(1) = 1;
% duurt lang :(
P = U*D^(1000)*inv(U);
while norm(p0) > eps
p0 = p0*P;
end
disp(p0); |
function [] = printPmtkFigures(filename)
printFolder = '/ubc/cs/home/n/nevek/fig';
% create an eps and pdf file for the figure
opts = struct('Color', 'rgb', 'Resolution', 1200);
exportfig(gcf, sprintf('%s/%s.eps', printFolder, filename), opts, 'Format', 'eps' );
%pdfcrop; % This is the problem
exportfig(gcf... |
function [theta,J_history] = GradientDescent (X, y, theta, alpha, iter)
m = size(X,1);
J_history = zeros(iter,1);
for i = 1:iter
theta = theta - alpha .* X' * (X * theta - y) / m;
J_history(i) = CostFunction(theta,X,y);
if(mod(i,1000) == 0)
fprintf("Iterator : %d Co... |
function distance=dist_tanimoto(a, gene_train)
% input: a - test sample, gene_train - train set
n=length(gene_train);
m=length(a);
distance=zeros(n,1);
for i=1:n
count=0;
train=gene_train{i};
for j=1:m
if a(j)==train(j)
count=count+1;
end
end
distance(i... |
clear all
close all
%% Preamble, assigning variables and error checking
% This code gives a nonlinear wah-overdrive effect. I will set the
% variables so they can't be changedas for this code I just want a relatively nice
% sounding distortion effect.
[y,Fs] = audioread('Guitar_Sequence.wav');
if size(y,2) == 2
... |
function [vec, addScore] = Merge(vec, direct)
addScore = 0;
if(direct==3||direct==4)
for i = 1:3
if(vec(i)==vec(i+1))
vec(i) = vec(i)*2;
addScore = addScore + vec(i);
vec(i+1) = 0;
end
end
else
for i = 4:-1:2
if(vec(i)==vec(i-1))
... |
% a function which binarizes the image and returns the label matrix and the
% boundaries of connected regions
function [B,L] = getLabelMatrix(frame)
frame = stretch(frame);
frame = imsharpen(frame, 'Radius', 2, 'Amount', 2);
thres = graythresh(frame);
frame = imbinarize(frame, (0.3 + thres)/2);
... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Hamza Bourbouh <hamza.bourbouh@nasa.gov>
% Notices:
%
% Copyright @ 2020 United States Government as represented by the
% Administrator of the National Aeronautics and Space Administration. All
% Rights Reserved.
%
% Disclaimers
%
% No Warranty:... |
fo=150e3;
wo=2*pi*150e3;
Ls=66e-6;
Cs= 1/(wo^2*Ls);
RL= 16;
M=17e-6;
a1=0.1;
M1=M*(1+a1);
M2=M*(1-a1);
f=1e5:1e2:2e5;
w=2*pi*f;
Zs=1i*w*Ls+1./(1i*w*Cs);
figure();
for RL=16:8:64
Vout1=M1*w.*(RL./(Zs+RL));
plot(f/1000,Vout1,'b');
hold on;
end
for RL=16:8:64
Vout1=M2*w.*(RL./(Zs+RL... |
classdef (HandleCompatible) Cacheable
% METHODS CLIENT WOULD CALL:
% cache()
% loadFromCache()
% snapshot(nameOrIndex)
% loadFromSnapshot(nameOrIndex)
% loadFromSnapshotMostRecent()
% loadFromSnapshotMostRecentMatchingParam()
% printListSnapshots()
methods(Abstract)
% retu... |
%% DIGITAL IMAGE PROCESSING
% Assignment 1 - Summer Semester 2020/2021
% Kavelidis Frantzis Dimitrios - AEM 9351 - kavelids@ece.auth.gr - ECE AUTH
function x = imagedequant(q,w1,w2,w3)
%% Uses mydequant.m function to dequantize values of colors on an image
x(:,:,1) = mydequant(q(:,:,1),w1);
x(:,:,2) = ... |
%% make the example movie
% parameters
nx = 80; % horizontal pixels
ny = 80; % vertical pixels
n = nx * ny;
T = 10; % sec
dt = 0.01;
t = dt:dt:T;
sig = 0.1; % magnitude of gaussian noise added
% 3 underlying modes
[Xgrid, Ygrid] = meshgrid(1:nx, 1:ny);
mode1.u = exp(-((Xgrid-40).^2/250+(Ygrid-40).^2/250));
mode1.f =... |
function [mssim] = mssim_index(img1, img2,K,L)
% Multi-scale SSIM
% Input:
% img1 - first image
% img2 - second image
% Output: mssim - mssim value
nlevs = 5;
% Use Analysis Low Pass filter from Biorthogonal 9/7 Wavelet
lod = [0.037828455507260; -0.023849465019560; -0.110624404418440; ...
0.3774028556128... |
function Congr(hAxes,Color,NumColor)
% Congratulation
for k1=1:6, % check any side
onesq = Color(k1,:,NumColor(k1,1)); % one square of side
for k2=2:9, % check other squares
othsq = Color(k1,:,NumColor(k1,k2)); % other square of side
if ~all(onesq==othsq),
return
end
end
end
hFig = ge... |
A = load('juli234.txt');
figure
plot(A(:,2),A(:,1),'x');
title('任务与任务聚类中心距离-价格图','FontSize',14);
xlabel('距离','FontSize',12);
ylabel('价格（元）','FontSize',12);
%set(gca,'XLim',[0 0.36]);%X轴的数据显示范围
set(gca,'YLim',[65 90]);%X轴的数据显示范围
figure
plot(A(:,3),A(:,1),'x');
title('任务与会员聚类中心距离-价格图','FontSize',14);
xlabel('距离','FontS... |
%See name while clicking on line in figure
function show_DisplayName(varargin)
hmainFig=gcf;
current_line=gcl; %see choosed line
xdata=get(current_line,'XData');
ydata=get(current_line,'YData');
%hdt = datacursormode;
%set(hdt,'DisplayStyle','window');
%set(hdt,'UpdateFcn',{@labeldtips,xdata,ydata}) |
function saveContours(~,~, obj)
try
[dname, fileName] = savePrompt;
if ~isempty(dname)
for i = 1:length(obj.model.nameList)
name = obj.model.nameList{i};
filename = sprintf(fileName, name);
tab = Table.create(getPolygonFromName(obj.model, name), {'x', 'y'});
write(tab, fullfile(dname... |
function [x,y] = km_kde(data,sigma,nsteps,range_x)
% KM_KDE performs kernel density estimation (KDE) on one-dimensional data
% http://en.wikipedia.org/wiki/Kernel_density_estimation
%
% Input: - data: input data, one-dimensional
% - sigma: bandwidth (sometimes called "h")
% - nsteps: optional... |
function p = startTrial(p)
%pds.eyelink.startTrial allocate and clear buffer for the next trial
%
% allocates the data structs and also clears the buffer
%
% p = startTrial(p)
if p.trial.eyelink.use
p.trial.eyelink.sampleNum = 0;
p.trial.eyelink.eventNum = 0;
p.trial.eyelink.drained = f... |
function [y]=fp(x,c)
%
% This function calculates df(x)/dx for a given x and a parameter c.
%
y=sin(c+x)+exp(x);
%
|
clear;
pp = '/Users/huan/Downloads/re-id/dataset/Market1501/bounding_box_test/*.jpg';
%加载属性标注信息
load('market_attribute.mat');
upblack = market_attribute.test.upblack;
upwhite = market_attribute.test.upwhite;
upred = market_attribute.test.upred;
uppurple = market_attribute.test.uppurple;
upyellow = market_attribute.... |
function [ torque_fun ] = torque( nlp )
%torque cost for torque
% Creates SymFunction for a torque cost
%
% Author: Ross Hartley
% Date: 2018-03-19
% Compute function for torque cost
u = nlp.Plant.Inputs.Control.u;
cost = sum((u).^2);
torque_fun = SymFunction('torque', cost, {u});
end
|
load('labels.mat')
difference_t = [0; diff(labels)];
blinks = [find(difference_t==1) find(difference_t==-1)];
difference_d = [0; diff(st)];
detected = [find(difference_d==1) find(difference_d==-1)];
tp = 0; fn = 0;
for i=1:size(blinks,1)
true_sequence = blinks(i,1):blinks(i,2);
was_det... |
function varargout = histogram(varargin)
% GUI for Plotting historgam and equalizing image arrays
%
% INPUT:
% images - array to plot histograms for (can be a single image as well)
% 'N' - image to display
%
% to run:
%
% histogram(images,'1')
%
% if want equalized images as output:
%
% im_eq=thr... |
% John Heath
% ACM 116 Problem Set 3
% Problem 2, Part C
clc; clear; close all;
a = 2;
b = 6;
g = 2;
n = 10.^4;
% draw all the exposure levels from the beta distribution
x = betarnd(a, b, n, 1);
% turn exposure levels into probabilities by exponentiating by gamma
prob = x.^g;
% randomly determine whether they get the d... |
%%%%%%%%%%%%%%%%%%%%%%%%%% Rx Data Collection %%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Setup for Sound on a Linux Machine (beep doesn't work on Linux)
res = 22050;
len = 0.2 * res;
hz = 400;
%%%
timeDelay = 0; % delay between each sample
startDelay = 0; % delay before the first sample is taken
samples = 10; % number of loca... |
function Wx=createAllConnectedGraph(X, delta)
maxx=max(max(abs(X)));
Wx=L2_distance(X/maxx, X/maxx, 0);
Wx=exp(-Wx.^2/delta^2);
Dxsqrt=1./sqrt(sum(Wx));
Dxsqrt=diag(Dxsqrt);
Wx=Dxsqrt*Wx*Dxsqrt;
end
|
function crc_val = crc_ccitt_matlab (message)
% Calculates CRC-CCITT bytes for the message which is an array of bytes.
% Polynomial = hex2dec('1021');
% Hassan M. Abdar(hassan@case.edu),Farhad kaffashi
% Case Western Reserve University, September 2012
crc_table =hex2dec( ['0000';'1189';'2312';'329b';'4624';'57a... |
% this isn't finished, but it was an attempt to model cylindrical harmonics
% in an optical fiber
% SEE Fundamentals of Photonics 2e, Section 9.2
r = linspace(0,10,100);
u = zeros(size(r));
u0 = 1;
du0 = 0;
k_T = 1;
K = 2000;
a = zeros(1,K);
a(1) = 1;
a(2) = 0;
for k = 3:K
a(k) = -k_T^2/(k+1)^2*a(k-2);
end
for... |
function model(X, Y, X_tes, Y_tes, iter, rate)
w = init_with_zero(size(X),1);
[grad,cost] = prop(w,X,Y);
[w,grad,cost] = optimize(w,X,Y,iter,rate);
Y_pred = predict(w,X);
Y_pred_tes = predict(w,X_tes);
fprintf('Akurasi Train: %f\n', mean(double(Y_pred == Y)) * 100);
fprintf('Akurasi Test: %f\n', mean(do... |
function [ analysis ] = inspect_transitions(varargin)
data = load('../kesh/experiments/all.mat','xids');
kwargs = utils.dict(varargin{:});
games = kwargs.get('games',[1:4]);
numgames = length(games);
subjects = kwargs.get('subjects',[1:9]);
numsubjects = length(subjects);
xids = kwargs.g... |
clear
clc
L = load('Book2.mat').Book2;
T=[L(:,1:19) L(:,21:42)];
t1=table2array(T(:,[1, 5:40]));
t2=table2array(T(:,2:4));
t3=table2array(T(:,41));
Temp1=array2table([t1(:,1) grp2idx(t2(:,1)) grp2idx(t2(:,2)) grp2idx(t2(:,3)) t1(:,2:end)]);
Temp2=array2table(t3(:,1));
Temp2.Properties.VariableNames{'Var1'... |
clear all;
close all;
vib=textread('I:\bishe实验数据\25600数据\REC3950_ch3.txt','','headerlines',16);
pul=textread('I:\bishe实验数据\25600数据\REC3950_ch2.txt','','headerlines',16);
pluse1=vib(:,1);
vdata=vib(:,2);
% pul=pul(:,2);pul=-pul;
threshold=abs(1)/3;
fs=25600;
figure;
plot(pluse1,vdata)
xlabel('t/s');ylabel('amplitude');t... |
function [ hz_f ] = mel2hz( mel_f )
%[ hz_f ] = mel2hz( mel_f )
% Converts frequency in mel to frequency in Hz
hz_f = 700*(10.^(mel_f./2595) -1);
end
|
addpath('../lib')
true_params = [1,-10,-10,-10,-2,-10,-10];
plt = 1;
noise_level = 0.1;
repeats = 10;
params = true_params;
example = 'linear_full_trajectory';
tmp_simulate_function = str2func(['simulate_',example]);
for i = 1:4
simulate_function = @(params)tmp_simulate_function(i,[],[],params);
[smooth_data,no... |
%% create a new screen figure (i.e. a struct with parameters used by screenPlot)
function sf = screenFigure(p, startPos, size, windowPointer, xlims,ylims,fontSize,axisColor)
%ok, let's not fiddle with pixels, use cm
% this will hold all essential information used to scale the data
sf.startPo... |
% Example of use of "solar"
% May 2011, tested on MATLAB R2010A
% Translated and improved by Thibaut Leroy (thibaut.leroy@gmail.com),
% French solar car team Hélios (http://www.helioscar.com)
% HEI (Hautes Etudes d'Ingénieur) engineering school Lille, France
% Sunpower datasheets are property of Sunpower Corpor... |
function [x, u, Z, sol, zLoop] = main_template(...
formula, A, B, Px, Pu, h, X0, Obs, CA_flag, epsilon)
% x(t+1) = A*x(t) + B*u(t)
% A = dx*dx matrix
% b = dx*du matrix
% Obs = given as a list of convex polytopes
% X0 = d*N matrix
time = clock;
disp([ 'Started at ', ...
num2str(time(4)), ':',... % Returns year as ... |
function [D,x0,alpha,result] = Ei200_uvw100_at200mfit()
% simplified verification script, which allows one to check
% how do sqw cut works
%-------------------------------------------------
% Parameters :
%
data_source= fullfile(pwd,'sqw','Data','Fe_ei200.sqw');
bragg = [2,0,0]; % selected bragg
%
% Cut properties:
... |
im=imread('1.png');
imshow(im);
g=imnoise(im,'gaussian',0,0.01);
figure;imshow(g)
imwrite(g,'gaussian.png')
|
function J = floydSteinbergDithering(I)
dim = size(I);
J = I;
for i = 1:dim(1,1)
for j = 1:dim(1,2)
orig = J(i,j);
if(J(i,j)<128)
J(i,j) = 0;
else
J(i,j) = 255;
end
diff = orig-J(i,j);
if(i<dim(1,1))
J(i+1,j) = J(i+1,j)... |
function [q_svd,Q_svd] = qsvd(rN,rB,stddev)
% SVD Algorithm for Static State Estimation
% Inputs:
% rN1 - First Inertial-Frame Reference Position Vector
% rN2 - Second Inertial-Frame Reference Position Vector
% rB1 - First Body-Frame Measured Position Vector
% rB2 - Second Body-Frame Measured ... |
function y = MBfnc
persistent counter strArray
y=1;
if isempty(counter)
counter = 1;
end
if isempty(strArray)
strArray = [struct('a',multiObjectTracker,'b',multiObjectTracker)];
end
obj = multiObjectTracker();
cellOfObj = {obj; obj};
if isempty(cellOfObj)
element = struct('a',multiObjectTracker,'b'... |
%% Barker ambiguity example
% Created by: Lee A. Harrison
% On: 4/26/2019
%
% Copyright (C) 2019 Artech House (artech@artechhouse.com)
% This file is part of Introduction to Radar Using Python and MATLAB
% and can not be copied and/or distributed without the express permission of Artech House.
clear, clc
% Set the pa... |
%---------------(i) Simpson・s Method--------------
x0=0;
xn=1;
n=100000;
h=(xn-x0)/n; % step size
x1=x0+h;
x2=x1+h;
sum=0;
for i=1:(n/2)
fox0=sqrt(1-x0*x0); % f(x0)
fox1=sqrt(1-x1*x1); % f(x1)
fox2=sqrt(1-x2*x2); % f(x2)
sum=sum+(fox0/3+4*fox1/3+fox2/3)*h; % formula of Simpson・s Method
x0=x2;
x1... |
% Lab1
% Regularization
% Question 2-3
load data3.mat
[B,FitInfo] = lasso(X,Y);
[B_LS,FitInfo_LS] = lasso(X,Y, 'Lambda', 0);
B_ridge = ridge(Y, X, FitInfo.Lambda);
lambda_index = 59;
lambda = 0.0633;
y = B_LS*ones(size(FitInfo.Lambda));
semilogx(FitInfo.Lambda, B_ridge);
hold on
plot(FitInfo.Lambd... |
function number = count_spikes(data,setting)
b = find(data(1,:)==setting);
diffb = diff(b);
index = find(diffb~=1);
number = length(index)+1;
end
|
function [vi,v_std] = itslive_interannual(t,v,v_err,varargin)
% itslive_interannual computes the interannual component of velocity variability
% for an itslive time series.
%
%% Syntax
%
% vi = itslive_interannual(t,v,err)
% vi = itslive_interannual(...,'ti',ti)
% [vi,v_std] = itslive_interannual(...)
%
%% Desc... |
% filternoise.m filter a noisy signal three ways
pkg load signal % must load signal the first time it is called at runtime
time=3; % length of time
Ts=1/10000; % time interval between samples
x=randn(1,time/Ts); % generate noise signal
figure(1),plotspec(x... |
%% figure5
orig_bp=pwd;
example5
bp = '../..';
cd(bp);
annotation('textbox', [0.01 0.89 0.05 0.05],'String','a)','LineStyle','none','FontSize',16,'FontName','Times','Color',[0.25 0.25 0.25])
annotation('textbox', [0.01 0.68 0.05 0.05],'String','b)','LineStyle','none','FontSize',16,'FontName','Times','Color',[0.25 0.... |
numTrials = 125;
stimValsRange = [.5,7];
numStimVals = 9; %must be odd
stimVals = logspace(log10(stimRange(1)),log10(stimRange(2)),numStimVals);
priorAlphaRange = stimVals(1):.5:stimValsRange(2);
priorBetaRange = 1:2:30;
gammaGuess = .5;
lambdaGuess = .02;
stair = PAL_AMPM_setup('stimRange',stimVals,...
... |
% for phi_rank=1:17
% imagesc(squeeze(Efield_X_map_phi(phi_rank,:,:)))
% pause(0.1)
% end
phi_rank=1
for phi_rank=1:33
imagesc(squeeze(Epot_map_phi(phi_rank,:,:)))
pause(0.05)
end
for phi_rank=2:33
imagesc(squeeze(Epot_map_phi(phi_rank,:,:)))
pause(0.05)
end
% for phi_rank=1:33
% imagesc(squeeze(... |
function [v,y,x] = tpf(T,P,z)
global Ant
v=0.5 ; alpha = 0.5 ;
flag=1 ;
count=0 ;
while flag
P_sat = exp(Ant(1,:)-Ant(2,:)./(Ant(3,:)+T)) ;
K=P_sat/P ;
y = K.*z./((K-1)*v+1) ;
x = z./((K-1)*v+1) ;
fy = sum(y) ;
fx = sum(x) ;
f = fy-fx ;
if abs(f)<1e-10
flag=0;
... |
function rmse = rmse(y, z)
% rmse(y,z) - returns Root Mean Square Error
X = (y(:) - z(:)).^2;
X(isnan(X)) = 0;
X(isinf(X)) = 0;
rmse = sqrt(mean(X));
end |
%filter Rata - rata
F = imread('C:\Users\ignatha\Documents\MATLAB\bintik.jpg');
[tinggi, lebar] = size(F);
F2 = double(F);
G=F;
for baris=2 : tinggi-1
for kolom=2 : lebar-1
jum = F2(baris-1, kolom-1)+ ...
F2(baris-1, kolom) + ...
F2(baris-1, kolom+1) + ...
F2(baris, kolom-1) + ...... |
format long g
clc ;
clear ;
close all ;
addpath Functions
c = 299792458 ; % 光速(m/s)
lambda = c /(1575.42*10^6) ;
Data = 0427 ;
obs_flag = 1 ;
converge_time = 3000000 ;
initial_time = converge_time + 20 ;
smaller_than_elevation = 10 ; %仰角小於elevation即濾掉
interpolation_or... |
function dest = transformEdge(edge, trans)
%TRANSFORMEDGE Transform an edge with an affine transform.
%
% EDGE2 = transformEdge(EDGE1, TRANS);
% where EDGE1 has the form [x1 y1 x2 y1], and TRANS is a transformation
% matrix, return the edge transformed with affine transform TRANS.
%
% Format of TRANS ca... |
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