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%This is the code for X-ray imaging processing and extracting 3D/2D sorghum
%panicle features and seed profiles.
%For Branch features, see another folder "IdentifyStemAndBranches".
%integrate all images into 3D matrix H
clear H
file=dir('*.png');
for k=1:length(file)
I=imread(file(k).name);
H(:,:,k)=i... |
function salida = cesar(entrada,desplazamiento)
a=double(entrada);
for i=1:length(a)
aux=a(i);
val=65;
if 96 < aux
if aux < 123
val=97;
end
end
a(i)=mod(aux - val + desplazamiento,26);
a(i)=a(i) + val;
end
salida=char(a);
end
|
close all;clear;clc;
load('F:\Study\Data\Dh.mat');
load('F:\Study\Data\Sh.mat');
load('F:\Study\Data\Vh.mat');
load('F:\Study\Data\Dg.mat');
v = Vh; s = Sh; d = Dh; dg = Dg;
n = size(v,1);
a = 5; p0 = 0; p1 = 1; p2 = -1;
Su = 0; wSum = 0; vSum = 0; sSum = 0; aSum = 0;
Lr = 0.002;
for i = 1:n
temp = d... |
clear, close all
[srcimg, map] = imread('girl.bmp');
image(srcimg);
srcimg = double(srcimg);
[hs, ws] = size(srcimg);
outimg = zeros(hs, ws);
p = 0:255;
h = zeros(1,256);
for j = 1:hs
for i = 1:hs
outimg(j, i) = srcimg(j, i);
end
end
for j = 1:hs
for i = 1:ws
h(srcim... |
function [G, TP, ARD, DI] = convert_to_ts(gid, acc, ard, di, tap_ch_type, CFG)
CFG.estim_points = 10;
%% groupid processing
first_gid = find(gid >= 1,1);
gid(1:first_gid-1) = 0;
try
last_gid = find(gid >= 1); last_gid = last_gid(end);
catch
keyboard
end
gid(last_gid+1:end) = 0;
gid_idx = find(diff([gid,0]));
G =... |
clf; %清除图表
fs=1000;N=length([0:1e-4:10]); %采样频率和数据点数
disp(num2str(N))
n=0:N-1;
% t=n/fs; %时间序列
g=9.8;
l=0.7;
omega=23;
R=0.2;
odefun=@(t,x)[(R*omega^2*cos(x(2))-g*sin(x(2))-l*omega^2*sin(x(2))*cos(x(2)))/l;
x(1);];
[t,x]=ode45(odefun,[0:1e-4:10],[pi/30 pi/20]);
X=0.155*cos(9*t)-0.9*sin(x(:,2)).*cos(9*t... |
function rhs = vortStreamFuncBGS(t, w, v, A, B, C)
p = bicgstab(A, w, 1e-6, 233);
px = B*p;
wx = B*w;
py = C*p;
wy = C*w;
psiOmega = px.*wy - py.*wx;
rhs = v*A*w - psiOmega; |
function da = forwardprop(dn,n,a,param)
%SATLIN.FORWARDPROP Forward propagate derivatives from input to output.
% Copyright 2012-2015 The MathWorks, Inc.
da = bsxfun(@times,dn,(n >= 0) & (n <= 1));
end
|
function [kalle] = drawDEMtree(arguments)
global NOB layers axs nobh layh
if (nargin == 0)
close all;
demDACgui;
NOB = 14;
layers = 5;
arguments = 'update layers';
end;
if (strcmp(arguments,'update NOB'))
disp('jahadu, det tycker du...');
elseif (strcmp(arguments,'update layers'))
layers = str2num(g... |
function [cmAdjMat, vVertPos, mVertMembership, cmImageGraph, cmShuffledAdjMat, vShuffledVertPos] =...
genBlockmodelWithBackground(sPosDist, posNum, graphSize, bShuffle, vBackgroundProp, sBlockmodelType,...
varargin)
%
% Generate blockmodels, using a stocastic blockmodel (generative) model.
% Compare... |
function D = save_mem
X = 1:10;
D = pdist(X',@distfun);
function d2 = distfun(XI, XJ)
d2 = XI + XJ;
end
end |
function [I,f]=esparso(n,x1,xn,m,y1,ym)
#gera sistema I n*m com abcdef
#olhar slide de PVC para referencia porque e muita formula
I=zeros(n,m);
fl=zeros(n,1);
for i=1:n
for j=1:m
[a,b,c,d,e,f]=constantes(x1,xn,n,y1,ym,m,i,j);
if(i==j)
I(i,j)=a;
elseif(i-1==j)
I(i,j)=b;
e... |
function dataset_out = datasetCheck(dataset)
% Checks that in dataset there are no inf or NaN valued data and replaces
% them with the previous data eventually
%
% INPUTS
% dataset = struct with fields
% .InfettiRegioniOggi : matrix with data on positive peo... |
function pa_prior_figure3
%% SUPSAC_SL beinhaltet die Data von RG, PH, CK
% Jetzt probiere ich, diese Data zusammen zu analysieren
%% Initialization
close all
clear all
clc
figurel2s
%% Filenames
fnames = {'JR-RG-2012-04-06-0001';...
'RG-JR-2012-04-26-0001';...
'RG-PH-2012-04-13-0001';...
'RG-PH-... |
function [negloglik] = log_det_B(hyps, func, n, n_class, X, y, approxF)
% a function evaluating log.det B
% where B = I + KW
% by Mark Norrish, 2011
% note: actually uses a bunch of other equations, esp. for derivations
dim = length(hyps) / n_class;
Hyps = reshape(hyps, dim, n_class);
bigK = zeros(n*n_class); K = zer... |
classdef prtDataSetBase
% prtDataSetBase Base class for all prt data sets.
%
% This is an abstract class from which all prt data sets inherit from.
% It can not be instantiated. It contains the following properties:
%
% name - Data set descriptive name
% description - D... |
function [stateEst,stateCovarianceDiag] = navigation_ahrs10(i,accel,gyro,mag,Rmag,lla,Rpos,gpsvel,Rvel,...
imuUpdateFs,magUpdateFs,gpsUpdateFs,baroUpdateFs,radarUpdateFs,...
X0_ahrs10,P0_ahrs10,fs,refloc,std_acc,std_acc_bias,std_alt,std_gpsvel,...
std_gyro,std_gyro_bias,std_magNED,std_mag_bias)
global filte... |
% Run a stochastic simulation to determine good feedback matrices
type = 'y=sin(t)';
model = 'P';
func_opt = @(type, kp_v, kp_th) P_model_V2(type, kp_v, kp_th);
% Turn off plotting
plotting = 0;
% Try 100 trials
ntrials = 100;
err_total = zeros(1,ntrials);
load(['best_',model,'model_',type])
for n = 1:ntrials
fpr... |
clear all
close all
load('../data/fig4_6.mat')
%% Figure 4.6a
h=figure
for n=1:N
semilogy(w_range, Fbar_collector{1,n}, 'color', 'k', 'LineWidth', n/40);
hold on
end
ylim([10^(-10), 1])
xlim([0,200])
xlabel("$w$", 'Interpreter', 'latex')
ylabel("$\bar F_n(w)$", 'Interpreter', 'latex')
set(gca,'fontsize',14)
... |
function nn_bayes1_MAP
home;
close all;
%% Generative model
% cd('E:\MATLAB');
pa_datadir;
load AVpar2
figure(1)
subplot(241)
A = Vision(1).SupSac(:,23);
E = Vision(1).SupSac(:,24);
for ii = 1:4
a = Audiovisual(ii).SupSac(:,23);
A = [A;a];
e = Audiovisual(ii).SupSac(:,24);
E = [... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function clursterTextons
% Cluster all the 3x3 patches in the training database into textons
%
% Input parameters:
%
%
% Output parameters:
%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function doLoad3x3Pa... |
%±æʶÆÀ¼Û
function Q=QV(Y,U,dt,k,T,n)
[lp,m]=size(Y);
if m>lp
lp=m;
end
Q=0;
a=exp(-dt/T);
b=1-a;
X=zeros(n,1);
for i=1:lp
X(1)=a*X(1)+k*b*U(i);
if n>1
X(2:n)=a*X(2:n)+b*X(1:n-1);
end
Y1(i)=X(n);
Q=Q+(Y(i)-Y1(i))*(Y(i)-Y1(i));
end
|
function [emis]=interfaceF_getEmisCLEref(type, savedCLE, CLE, savedCLEref, CLEref, D, d, x, geometryIntermediateData, commonDataInfo)
if isequal(type, 'FIRSTGUESS')
if size(x,1) == size(savedCLEref,1)
thisCLE=savedCLEref;
else
thisCLE=CLEref;
end
% E = D * sparse(x);
% ... |
doEmbryo = 0;
doGut = 0;
doTouching = 1;
if doEmbryo
X = imread('../data/embryo.png');
X = imresize(X,0.5);
elseif doGut
X = imread('../data/gut.png');
X = imresize(X,0.5);
X = mean(X,3);
%X = histeq(X);
elseif doTouching
imgName = '../data/touchingEmb/touching2';
X = imread([imgName,'.jpg']);
X =... |
function Y = y_AM_inc(alpha_out,s_c)
alpha_2prime_t = 90 - alpha_out;
C_t = 0.08*((alpha_2prime_t/30)^2-1);
n_AM_t = 1+alpha_2prime_t/30;
if alpha_2prime_t > 27
A_t = 0.025 + (27 - alpha_2prime_t) / 3085;
else
A_t = 0.025 + (27 - alpha_2prime_t) / 5... |
function [Z] = myProcrustes(X,Y)
%MYPROCRUSTES Function that stretches or contracts the input points set to fit the reference points set.
% Input
% X - Input points set
% Y - Reference soints set
%
% Output
% Z - Fitted points set
%% Function starts here
figure,
subplot(2,2,1), plot(X(:,1),X(:,... |
load('muab.mat');
red_wavelength = 600; %%INSERT_RED_WAVELENGTH (unit nm)
green_wavelength = 515; %%INSERT_GREEN_WAVELENGTH (unit nm)
blue_wavelength = 460; %%INSERT_BLUE_WAVELENGTH (unit nm)
wavelengths = [red_wavelength, green_wavelength, blue_wavelength];
mua_blood_oxy = @(x) interp1(muabo(:,1), muabo(:,2), x);... |
clear all ; close all
subs = {'alex','dina','genevieve','jeremie','karl','russell','valerie'} ;
prefix='1hz_' ;
for sb=1:length(subs) ;
cd(['c:/shared/badger_eeg/',subs{sb}]) ; ls
gammas=dir([prefix,'preproc*gamma*set']) ;
figure,
for g=1:2
clear stims
cd(['c:/shared/b... |
%% Setting Path for vEMGP
fprintf(['\n-----------------------------------------------\n'])
fprintf(['Setting up paths for code-package vEMGP!\n'])
addpath('~/Desktop/Matlab_Gatsby/Matlab/vEMGP/');
addpath('~/Desktop/Matlab_Gatsby/Matlab/vEMGP/Data_Transform/');
addpath('~/Desktop/Matlab_Gatsby/Matlab/vEMGP/Variational/... |
%% Plots
%% Section 1
figure(1);
subplot(3,1,1)
plot(theta, RyS);
title('PSD Squarer');
xlabel('\theta');
subplot(3,1,2)
plot(theta, RyH);
title('PSD Half-wave rectifier');
xlabel('\theta');
subplot(3,1,3)
plot(theta,RyA);
title('PSD AM-SC modulator');
xlabel('\theta');
%% Section 2
% PSD Bartletts
figure(2);
... |
function [G6] = fix_graph_type_5_disconnection(G5,possible_edges_I_M_kinked)
% this function appends the possible I-M edges to the existing graph edges
% creating copy of graph
G6=G5;
% adding edges
for i=1:numel(possible_edges_I_M_kinked(:,1))
disp(i)
G6 = addedge(G6,possible_edges_I_M_kinked(i,1),... |
function [idx] = idx_distance_metrics_clustering(scal_X, n_eigs, k, idx_0, iter_max, cent_crit, scal_crit, crit, manifold, DistParameter, varargin)
% This function partitions the data into `k` clusters according to
% distance from the low-dimensional manifold to the cluster centroids computed
% with various distance me... |
function [s, med ] = Calc_estadisticos(err0,t)
% Cálculos estadisticos de las variables error.
for i = t:1:length(err0)
erms(i+1-t) = err0(i);
end
%% Variables Estadísticas
med = sum(erms)/length(erms); %VALOR ERROR ... |
function [CV,CF] = cylinder_mesh(R,N,varargin);
% CYLINDER_MESH
%
%[CV,CQ] = cylinder_mesh(R,N);
%[CV,CF] = cylinder_mesh(R,N,'ParameterName',ParameterValue, ...)
%
% Inputs:
% R radius
% N number of vertices around axs
% Optional:
% 'Quads' whether to output quads instead of triangles... |
function bool = isfloateq(float1, float2, epsilon)
%ISFLOATEQ (ps-utils): are two floating point numbers equal?
% BOOL = ISFLOATEQ(FLOAT1, FLOAT2)
% or BOOL = ISFLOATEQ(FLOAT1, FLOAT2, EPSILON)
% returns 1 if arguments differ by less than epsilon
%
% EPSILON defaults to EPS*1e2, about 2.2e-14 for 8-byte doubles... |
function getDataTable(searchDate)
% Function to load the Data Table from a given experimental session, if it
% exists
dsgcDir = 'C:\Users\Mathew\Documents\MATLAB\Feller Lab\DSGC Recordings\';
searchDirName = sprintf('%s*',searchDate); %find directories that match input date
oldDir = cd(dsgcDir);
newDir = dir(searchDi... |
function [ output_args ] = map3d( Frame,a1,a2 )
%map3d wyrysowanie zależności funkcji celu od 2 zmiennych
% Detailed explanation goes here
map2d=zeros(200,200);
y=zeros(200);
z=zeros(200);
y=linspace(-1,1,200);
z=linspace(84.2,86.2,200);
for i=1:200
for j=1:200
point=[0,0,(j-100)*0.01,0,0,85.2+(i-100)*0.0... |
function [trainPerf,valPerf,testPerf,trainN,valN,testN] = trainValTestPerfs(net,data,hints)
% CALL KERNAL
numMasks = 3;
hints.Perfs_and_N = feval(hints.perfsKernel,...
hints.Perfs_and_N,... % Output
net,...
data.X, data.Xi, data.Pc, data.Pd, ...
data.Ac, ... % Temporary Storage
data.T, data.EW, data.masks, .... |
function enable_toolbox(name)
local_toolbox_dir = ['./' name];
if exist(local_toolbox_dir,'dir');
rmdir(local_toolbox_dir,'s');
end
mkdir(local_toolbox_dir);
mkdir([local_toolbox_dir '/private'])
addpath(local_toolbox_dir) % important to do this before copying
matlabroot = '/Applications/MATLAB_R2018... |
ff = fmdl;
ff.fwd_model = fmdl;
ff.jacobian_bkgnd.value = 1;
ff.type = 'inv_model';
ff.RtR_prior = 'eidors_default';
ff.hyperparameter.value = 0.05;
imgS = inv_solve_diff_GN_one_step(ff,v1,v2)
elem = imgS.elem_data-min(imgS.elem_data);
elem = elem/max(elem);
elem = elem.*(max(abs(img_diff.elem_data)));
el... |
Ts = 0.002;
Ns = 5000;
Am = 1;
NP = 0.001;
R = 2;
mr = 10;
carrier_frequency = 700;
for i=1:10,
to=round(rand * 100);
sim('model', Ts * Ns);
sum(simout)
end; |
function annotationImport
% kaya de barbaro june 2018
% video annotation data should include column headers . each row is an
% annotation. the order of the columns does not matter but you may need to edit the code to
% grab the correct columns.
dataDir ='C:\Users\kdeba\Dropbox\Libraries\Documents\UT Austin\projects\M... |
clear all;
clc;
format shortG;
ttotal = 10;
tmuestra = 0.05;
var = 0.001;
%conv = convolución
num = conv(conv(conv([1 0.5], [1 0.7]),[1 -0.2]),[0 1])
denom = conv(conv(conv([1 0.2], [1 -0.6]),[1 0.4]),[1 -0.1])
tiempo = (0:tmuestra:ttotal)';
n = size(tiempo, 1);
u(1:n, 1) = tiempo;
u(1:floor(0.5*n), 2) = 0;
u(f... |
% ----------------------------------------------------------------------
% B-spline Lab is free software: you can redistribute it and/or modify it under the terms of the
% GNU Lesser General Public License as published by the Free Software Foundation, either version 3
% of the License, or (at your option) any later ... |
% Obtain the best LMS polynomial for fitting
% The order of polynomial must be between 3 and 10
function LMS = bestPol(x,y)
min = 10^8;
min_ind = 2;
for i=3:10
p = polyfit(x,y,i);
LMS = polyval(p,x);
dist = sqrt(sum((LMS-y).^2));
if (dist<min)
min = dist;
min_ind = i;
end... |
function distanceWithNoise = addGaussianNoise(distances,factor)
if ~exist('factor','var')
factor = 1;
end
[r,c] = size(distances);
%% Save a file with noise, to make it the same for every run
fullPath = mfilename('fullpath');
r1 = 10000;
c1 = 10;
fullPathFileName = createName(fullPath,r1,c1);
if exist(fullPath,'di... |
function weights = getTemporalWeights(imgs, temporalGradient, center, scale)
%GETSPATIALWEIGHTS Computes spatial smoothness weights based on an input image or video
% Input:
% img - 4D img data [height x width x {1,3} x numFrames]
% temporalGradient - Temporal gradient operator of size
% ... |
clear all; close all;
global env;
env.MFCCcompression = false;
env.os = getenv('OS');
env.computeDTW = false;
%% Voice command recognition
%%{
global commands;
addpath('lib');
%% READING AUDIO FILES (LABELED)
load_data;
env.mfccComprThreshold = 1;
env.lpcN = 12;
env.mfccN = 12;
env.splitTrTe = 0.7;
%% ENHANCING AUDIO... |
% calculates the difference between Estimated (Z_bar) and measured (Z)
% poses followed by normalization of the results
% INPUT:
% >measured noisy relative position of a stationary robot w.r.t a moving robot (Z)
% >estimated relative postion of a stationary robot w.r.t a moving robot (Z_bar)
%
% OUTPUT
% ... |
% CSI 700: Newton method for minimum
% J schott
% 13 MAR 2011
function [currX] = newton(f, currX, vars, tol)
J = jacobian(f);
err = tol+1;
i = 0;
fprintf('solving system using newton''s method...\n');
%use newton to solve lagrange functions
while ( err > tol )
i = i + 1;
... |
% Input parameters:
% data dataset;
% shapeletSize u-shapelet length;
% alphabetSize cardinality;
% SAXshapeletLen dimensionality
% Output parameters:
% shapeletsHash hash map linking SAX representation of u-shapelet
% candidates and time seri... |
%generuje wykres funkcji
figure(1);
[x,y]=meshgrid(-8:0.1:8);
z=sin(sqrt(x.^2+y.^2));
mesh(x,y,z); |
function [labs,coords] = load_elocs(locname)
% function [labs,coords] = load_elocs
% load the electrode coordinate file output by the java program
cd c:/shared/elocs ;
fid = fopen(locname) ;
icount = 1 ;
while ~feof(fid)
line = fgets(fid) ;
split = strsplit(line,',') ;
labs{icount} = split{1} ... |
%versao2
%1)
simbolos = ['a':'z', 'A' : 'Z'];
files = {'pg21209.txt','pg26017.txt'};
pmf = pmfLetrasPT(files, simbolos);
fCarga = 0.8;
tamanho = 1000/fCarga;
arr=zeros(1,tamanho);
for x = 1: tamanho
chave = chaveAleatoriaNormal(10, sqrt(5),pmf, simbolos);
hash = string2hash(chave,tamanho)+1;
arr(hash) = arr... |
function sd = war_dls( x, td)
%WAR_DLS - Dimensionless drawdown of Warren and Root (1963) solution
%
% Syntax: war_dls(x,t)
% x(1) = sigma
% x(2) = lamda
% t = time
%
% Description:
% Calculates the dimensionless drawdown
%
% References:
% Warren, J. E., and P. J. Root (1963), The behaviour of naturally
% ... |
function varargout = MouseAnalysisTool(varargin)
% MOUSEANALYSISTOOL MATLAB code for MouseAnalysisTool.fig
% MOUSEANALYSISTOOL, by itself, creates a new MOUSEANALYSISTOOL or raises the existing
% singleton*.
%
% H = MOUSEANALYSISTOOL returns the handle to a new MOUSEANALYSISTOOL or the handle to
% t... |
function [ h ] = heuristic( graphVector, idxX, idxGoal )
%HEURISTIC The heuristic function for the graph_search function, which is
%just the euclidean distance between the two nodes with ideces idxX and
%idxGoal.
% graphVector is a graphVector structure as previously defined
% idxX is the index of the first node
% ... |
function output = AnalyseBagFile(file)
%ANALYSEBAGFILE Summary of this function goes here
% Detailed explanation goes here
bag = rosbag(file);
start = bag.StartTime;
topicselect = select(bag, 'Time', [start + 30 start + 60], 'Topic', '/odom');
ts = timeseries(topicselect, 'Pose.Pose.Position.X', 'Twist.Twist.Angular... |
function [judgemtx]=rand_AHP(n,diff)
judgemtx=ones(n);
randIndex = randperm(n);
for i=1:n
for j=1:n
if(i~=j)
if((find(randIndex==j)-find(randIndex==i))>0)
judgemtx(i,j)=rand_pos_or_neg()*abs((find(randIndex==j)-find(randIndex==i))/(n-1)*diff);
... |
function [S,dv,U] = getxmlcue(fname)
%
% [S,dv,U] = getxmlcue(fname)
% Extract the CUE sentence from a D3 xml file.
% Returns S = [local_time,sample_number] for the first CUE
% sentence found. local_time is in second of the day.
% dv is the 6-element date vector.
% U is the unix time numbe... |
clear all; close all;
load('wordsinput.mat');
load('testwordsinput.mat');
cat1num = 15; % # of exemplars for fruit category
cat2num = 15; % # of exemplars for vegetable category
% part A: MDS
% use pdist function to compute cosine distances
wordinput = [wordvec; testwordvec];
distvec = pdist(wordinput,... |
function drawPartialPatch(u, v, z, varargin)
%DRAWPARTIALPATCH Draw surface patch, with 2 parametrized surfaces.
%
% usage:
% drawSurfPatch(u, v, zuv)
% where u, v, and zuv are three matrices the same size, u and
% corresponding to each parameter, and zuv being equal to a function of u
% and v.
%
% ... |
function nPMMA = PMMARefractiveIndexTemp(lambda, temperature)
% nPMMA = PMMARefractiveIndexTemp(temperature, lambda)
%
% lambda is in microns
% temperature is the temperature in C, between 20 and 100. Assumes pressure is sea level.
%
% Parameters and equation from Kasarova et al. Temperature dependence of refractive c... |
%%
TwoCarAnimation_handle = figure()
sfh2 = subplot(2,2,3);
plot(test_data_time-test_data_time(1),test_data_d_rel,'LineWidth',2,'Color',[0.9290, 0.6940, 0.1250])
hold on
plot(t,d_rel,'-.','LineWidth',2)
% plot(t_no_delay,d_rel_no_delay,'-.','LineWidth',2)
xlabel('Time[s]','FontSize',30)
ylabel('Relative position[m]'... |
%% Codes to generate figure 5 in the document
clear all
% Parameter values
nsim = 200;
nVal = [50 100 200];
pVal = [2 5 10];
%% Compute numeric summaries for high noise
hopt_MSEE_hn = zeros(length(nVal), length(pVal)); % Store best MSEE bandwidth indices for high noise
MSEE_hn = zeros(nsim, length(nVal)*length(pV... |
function decisionBoundariesDemo
% Decision boundaries induced by a mixture of two or three 2D Gaussians
% Based on code by Tommi Jaakkola
% 2 class
% linear decision boundary, with means on opposite sides
figure;
p1 = 0.5; p2 = 1-p1;
mu1 = [1 1]'; mu2 = [-1 -1]';
S1 = eye(2); S2 = eye(2);
plotgaussians2(p1, mu1, S1, ... |
function [merged_assignment error] = merge_segments_secure(assignment, family)
merged_assignment = [];
error = 0;
global debug_mode;
[~, ~, error] = check_allsegments(assignment, family);
if( error ~= 0 )
disp('error in global IBD');
return;
end
time = cputime;
[merged_assignment error] = merge_segments(as... |
function W_hk_c = calculate_W(A)
options = [];
options.NeighborMode = 'KNN';
options.k = 4;
options.WeightMode = 'HeatKernel';
options.t = sqrt(10);
A = A';
W_hk_c = full(constructW(A,options));
end |
% im1 = imread('pics/01.bmp');
% im1 = imread('pics/02.bmp');
% im1 = imread('pics/03.bmp');
% im1 = imread('pics/04.bmp');
% im1 = imread('pics/05.bmp');
% im1 = imread('pics/06.bmp');
% im1 = imread('pics/07.bmp');
% im1 = imread('pics/08.bmp');
%color palmprint
% im1 = imrea... |
gca; %设置当前坐标轴用于绘制曲线
h = waitbar(0, '开始绘图...', 'WindowStyle', 'modal'); %创建置于屏幕前端的进度条，动态显示绘图进度
t = [0 : 0.01 : pi]; %数据的横坐标
try
for i = 1 : 10
plot(t, sin(2 * pi * i * t)); %绘制数据曲线
waitbar(i / 10, h,... |
function [A,B] = eje3b
load("datos3a.mat")
p = polyfit(x, x./y, 1)
A = p(1);
B = p(2);
endfunction
|
function blkStruct = slblocks
blkStruct.Name = sprintf('Model I/O and State Information');
blkStruct.OpenFcn = 'model_info';
blkStruct.MaskDisplay = 'disp(''Model I/O and State Information'')';
% Information for Simulink Library Browser
Browser(1).Library = 'model_info';
Browser(1).Name = 'Model I/O and St... |
close all
N = 1000;
T = 20; % [sec]
t = (0:N-1)'/N*T;
dt = T/N;
a = [1 0.8]'; % amplitudes
w = [1 2 ]'; % frecuencias
f = zeros(N,1);
for i=1:length(a)
f = f + a(i)*sin(2*pi*w(i)*t);
end
r = 2.5*(rand(N,1)-0.5);
fr = f + r;
ax = [0 T/8 -1.5 1.5];
figure(1)
clf
subplot(2,2,1);plot(t,f),ylabel('f');axis(ax)
subp... |
function fLoop= getLoop()
% returns loop constraints
global W bigM zLoop ZLoop;
% number of agents
N = length(W);
% number of states
I = size(W{1},1);
% time horizon
h = size(W{1},2)-1;
% Loop variables
% zLoop(i)=1 where loop starts
zLoop = binvar(h,1);
% ZLoop(i)=1 for all i in loop
ZLoop = zLoop;
% ... |
% Example 10.4 subroutine
% from Parameter Estimation and Inverse Problems, 3rd edition, 2018
% by R. Aster, B. Borchers, C. Thurber
%
% [a,u,b]=bracket(@f)
%
% For a unimodal function f(alpha), finds a bracket [a,u,b] surrounding a
% minimum of f(alpha), where f(a) >= f(u) and f(u) <= f(b).
%
function [a,u,b]=brack... |
% Using no built-in function
function v = sort3(a, b, c)
if a <= b
v = [a b];
else
v = [b a];
end
if c >= v(2) % a and b in v are ordered. Where to insert c?
v = [v c]; % at the end
elseif c <= v(1)
v = [c v]; % at the beginning
else
... |
function [ UAttr ] = attractive_potential( xEval, potential )
%Determines the Attractive potential at a point xEval by the potential of
%type 'potential'
% xEval is a 2x1 vector with entries [x; y].
% potential is a struct following the definition in the homework. It has
% fields xGoal (goal location), alpha (wei... |
% Matlab + Arduino Serial Port communication
% Autor: Mario Pérez Esteso - Geeky Theory
% Blog: www.geekytheory.com
% Facebook Page: www.facebook.com/geekytheory
% Twitter: @geekytheory
close all;
clc;
% AVI --------
%Configuración del gráfico
plano = figure();
f1 = 2;
f2 = 3;
vocal = 'a';
h = plot(f2,f1,'rx','Lin... |
function [diffe,mse] = errorResta(x,y)
%ERRORRESTA
% [e,em] = errorResta(x,y)
% x: (in) Senal que se desea comparar
% y: (in) Senal con la que se desea comparar x
% diffe: (out) Error punto a punto, obtenido como la diferencia
% mse: (out) Error cuadratico medio
%
% Calcula el error que ... |
function opt = post_getopt(opt,tbl,vect,egv,param,ns)
% opt = POST_GETOPT(tbl,vect,egv,ns)
%
% This function populates the optimal vectors
%
%
% -------------------------------------------------------------------------
% ------------------------------- INPUTS ----------------------------------
% opt
% tbl
% vect
% egv
... |
function [angle1,angle2,all_angles] = find_min_dividing_angle_deg3(Y_nodes_idx,G3,XY3,s_node)
% at any intersection, independent of degree, an edge makes two immediate
% angles; these angles are the abutting angles which needs to be checked
% for acute abutment or orthogonal abutment in the main script; they are
% ... |
function sb_callback(obj,event)
global T sb;
% while(sb.BytesAvailable>0)
% q = fread(sb,5,'uint8')';
% T(end+1,:) = q;
% end
n = floor(sb.BytesAvailable/5);
if(n>0)
q = fread(sb,[5 n],'uint8');
T = [T; q'];
end
|
%% Reference
% [1] Peng, et al. "Active Transfer Learning.". in TCSVT'19.
function [ A, P, obj ] = RMMD(X,Y,KXY,WXY,Part)
[d, n1] = size(X);
[~, n2] = size(Y);
r = floor((3*d)/4) ;
B1 = ones(n1,1);
B2 = ones(n2,1);
I = eye(n1,n1);
P = eye( d, r );
r1 = Part.r1;
r2 = Part.r2;
A = zeros( n1, 1) ;
V = ze... |
%MAP_MCNN Translate .mat to point map.
%
% default parameters
% img_path: 'UAVData/train_data/train_img'
% gt_path: 'UAVData/train_data/ground_truth'
% save_path: 'UAVData/train_data/train_gt'
% scale: [-1, -1] represent for not resize, eg. [480, 640] is height
% -> 480 and width... |
function saveusergaps
DirStart = pwd;
if ispc
cd \\Als-filer\physbase\hlc\SR\ID
else
cd /home/als/physbase/hlc/SR/ID
end
% ID_UserGap.sh
FileName = mml2caput('ID', 'UserGap', getpv('ID', 'UserGap'));
% ID_Setpoint_UserGap.sh (turn gap control off)
FileName = mml2caput({'ID','ID'}, {'GapEnableControl', '... |
clc;
clear all;
s=tf('s');
Gp = ((10)/(1.6*s+1))*(exp(-0.1*s))
Gp_simc = 0.8*(1+(1/(0.8*s)))
Gp_coon = 1.4483*(1+(1/(0.2945*s)))
step(Gp)
margin(Gp*Gp_simc)
% margin(Gp*Gp_coon) |
function state_estimator_ukf
close all;
clear all;
freq=10000;% in hertz keep it as high as possible - paper has done it on very slow moving robot
T=60;
data_T=200;
ctrl_freq=400;
offset_r=[0;0;0];
assumeFlatFloor=true;
only_predict=false;
%% get the data
load('ground_truth.mat');
ctrl_state=load('ctrl_state.mat');
ct... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% REGRESS
% Computes a linear regression. Uses generalized inverse if X'X is singular
% Format
% beta = regress(y,x);
% Inputs
% y nxm dependent variable(s)
% x nxk independent variables (should include constant)
% Output
% beta kxm Regression slope estima... |
function mask = SubtractDominantMotion(image1, image2)
% input - image1 and image2 form the input image pair
% output - mask is a binary image of the same size
|
% This is material illustrating the methods from the book
% Financial Modelling - Theory, Implementation and Practice with Matlab
% source
% Wiley Finance Series
% ISBN 978-0-470-74489-5
%
% Date: 02.05.2012
%
% Authors: Joerg Kienitz
% Daniel Wetterau
%
% Please send comments, suggestions, bugs,... |
function y = step_sim(init_state, fs)
% estimate the output in one step
y2 = init_state(1);
y1 = init_state(2);
a1p = init_state(3);
v1b = (y1 - y2)*fs;
y = y1 + v1b/fs + a1p/fs^2;
end |
function d = obtain_procrustes(A,dims)
AA = zeros(size(A,1),size(A,2)*size(A,3));
for i = 1:size(A,2)
AA(:,(size(A,3)*(i-1)+1):(size(A,3)*i)) = squeeze(A(:,i,:));
end
[AA_pca,~,~] = get_pca(AA,dims);
[AA_isomap,~] = get_isomap(AA,dims);
if strcmp(AA_isomap,'Not computed')
disp('Error: isomap cannot co... |
close all
clear
addpath('../../auxiliary')
m =50;
% weights
weights = ones(m,1);
% poles, in complex plane on circle of radius 1.5
rpoles_xi = 3;
poles_xi = equiPointCircle([1:m-1]',rpoles_xi);
rpoles_psi = 3;
poles_psi = equiPointCircle([1:m-1]',rpoles_psi);
% nodes on real line
nodes = equiPointCircle([1:m].',... |
function [GrdIdx, ObsIdx, UnkownIdx, GrdPts] = GroundSegmentationFunWithFixedHyp(pcData, GapThr, IS_SHOW)
if nargin == 0
clc; close all;
DataFolder = 'D:\Data\Sudoku\Record-2017-10-26-09-03-48(Match2016)\BinaryData';
nFrm = 655;
DataDir = fullfile(DataFolder, sprintf('Binary%d.txt', nFrm));
pc... |
function [scr_obj_dims] = objDimens(scr_width, scr_height, obj_width, obj_height)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
scr_widthVals = round(linspace(0,scr_width,9));
scr_heightVals = round(linspace(0,scr_height,9));
topLeft = [scr_widthVals(2) , scr_heightVals(2)];
topRigh... |
%% Plot data from E4
clc
clear all
% task 1
% load the data file
distData = importdata('distribution.data');
set(gcf,'renderer','painters','PaperPosition',[0 0 12 6]);
Size = size(distData);
%plot
figure(1);
clf
subplot(2,2,1)
hist(distData(:,1));
title('Uniform','fontsize',12);
%plot
subplot(2,2,2)
hist(distData(:,2))... |
clc
close all
clear all
TS16GR4 = importfile16("E:\Studium\5,6-Ingenieurgeodaesie\Uebung\IngGeo-6-Semester-Uebung\14\matlab\TS16_GR4_mod.txt", [1, Inf]);
TS30GR4 = importfile30("E:\Studium\5,6-Ingenieurgeodaesie\Uebung\IngGeo-6-Semester-Uebung\14\matlab\TS30_GR4_mod.txt", [1, Inf]);
R = 6378137;
z1 = zeros(10,1);
z1... |
function positions = InitializePositions(numberOfParticles, xMin, xMax)
numberOfDimensions = 2;
positions = zeros(numberOfParticles, numberOfDimensions);
for i = 1:numberOfParticles
for j = 1:numberOfDimensions
r = rand;
positions(i,j) = xMin + r*(xMax-xMin);
en... |
clear all; close all; clc
I = imread('gDSC04422m16.png');
subplot (2,2,1)
imshow(I)
subplot (2,2,2)
imhist(I)
G=histeq(I,256)
subplot (2,2,3)
imshow(G)
subplot (2,2,4)
imhist(G) |
% AM.m suppressed carrier AM with freq and phase offset
pkg load signal
time=0.6; Ts=1/10000; % sampling interval & time
t=Ts:Ts:time; lent=length(t); % define a time vector
fm=20; fc=1000; c=cos(2*pi*fc*t); % carrier at freq fc
w=5/lent*(1:lent)+cos(2*pi*fm*t); % create "message"
v=c.*w; ... |
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