text stringlengths 8 6.12M |
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function [H, rhoScale, thetaScale] = myHoughTransform(Im, threshold, rhoRes, thetaRes)
%Your implementation here
% Calculate bins for rho and theta, then initiate H
[m, n] = size(Im);
rhoScale = 0:rhoRes:ceil(sqrt(m^2+n^2));
thetaScale = 0:thetaRes:2*pi;
H = zeros(length(rhoScale), length(thetaSc... |
function [ idx ] = loc_kmeans( image )
%*************************************************************************
% idx = loc_kmeans(image)
%
% Description: This function returns the RGB+Location KMeans
%
% Input Arguments:
% Name: image
% Type: vector
% Description: input image
%
%
% Output Arguments:
% Name: idx
% ... |
function import_line_xml_callback(~,~,main_figure)
layer=get_current_layer();
layer.add_lines_from_line_xml();
display_lines(main_figure);
update_lines_tab(main_figure);
end |
% *****************************************************************************************
% File Name : plotPoint3D.m
% Author : Dingjiang Zhou
% Boston University, Boston, 02215
% Email : zdj@bu.edu zhoudingjiang@gmail.com
% Create Time : Fri, Aug. 14th, 2015. 09:46:09 PM
% Last ... |
function [m,RES,TVterm] = nlcg(m0,params)
% Phi(m) = ||W(Fu*m - y)||^2 + lamda1*|TV*m|_1
% m: susceptibility
% W: weighting matrix derived from magnitude intensities
% Fu: F_{-1}*D*F forward calculates the field from susceptibility
% y: measured field to be fitted (inversion)
% lambda1: TV regularization parameter
% TV... |
function e = EIRP(P,G)
%e = EIRP(P,G)
%e EIRP in DB
%P transmitted power in dB
%G Gain in dBi
e = P + G;
end |
function [ ] = display_image_over_offset( image, offset )
%DISPLAY_IMAGE_OVER_OFFSET Summary of this function goes here
% Detailed explanation goes here
figure;
imshow(uint8(image));
hold on ;
quiver([1:size(offset,2)],[1:size(offset,1)],offset(:,:,1),offset(:,:,2));
end
|
%--------------------------------------------------
%“选择”操作，返回所选择染色体在种群中对应的位置
% cumulatedPro 所有染色体的累计概率
function selectedChromoNums = select(cumulatedPro)
selectedChromoNums = zeros(2, 1);
% 从种群中选择两个个体，最好不要两次选择同一个个体
for i = 1 : 2
r = rand; % 产生一个随机数
prand = cumulatedPro - r;
j = 1;
while prand(j) < 0
... |
%% EXAMPLE_FORWARD_KINEMATICS
% EXAMPLE_FORWARD_KINEMATICS describes the forward kinematics for 2 or
% 3-link arms. For both types, the user can choose to use
% rotations and translation dual quaternions, or to use screw
% motion dual quaternions. For the two-link arm, only the
% ... |
function result = improved_Euler(start,finish,stride,u0)%依次是 起点,终点,步长,初始值
%预报矫正的改进的欧拉法
n = (finish - start)/stride;%结点数
u=[];u(1) = u0;%u(1)是实际上的u(0)
t = start;%t(0)
for i = 1 : n
u(i+1) = u(i) + stride/2*( ...
t * u(i)^2 ... % f(t,u)= t(i)*u(i)^2
+...
( t + ... |
sumOfError=0;
figureNumber = 1;
for i = 1:2 % Both of the two sets of images
for j = 1:3 % For all the three bases
figure
colormap(gray)
subplot(2,2,1)
imagesc(bases{j}(:,:,1))
subplot(2,2,2)
imagesc(bases{j}(:,:,2))
subplot(2,2,3)
imagesc(bases{j}(:,... |
function wb = getwb(net,hints)
% Copyright 2012 The MathWorks, Inc.
wb = zeros(hints.learnWB.wbLen,1);
for i=1:hints.numLayers
if hints.learnWB.bInclude(i)
wb(hints.learnWB.bInd{i}) = gather(net.b{i});
end
for j=1:hints.numInputs
if hints.learnWB.iwInclude(i,j)
wb(hints.learnWB.iwInd{i,j}) = gat... |
clear all
close all
tic
load_img_to_database; %create variable out
Database = build_Maps_for_Database(out);
toc
file = str2num(input('Which picture do you select? [1-3]:','s'));
switch file
case {1}
test1 = rgb2gray(imread('draws/river_horse_draw.jpg'));
case {2}
test1 = rgb2gray(imread('dra... |
%@(#) wrnm1.m 1.2 94/08/12 12:11:13
%
function wrnm1(farg,symbol)
if nargin<1, farg=[0 0 0];end
if nargin<2, symbol='o';end
wrnmpos=[5 13
9 17
9 25
17 5
17 13
17 25
25 9
25 17];
x=wrnmpos(:,2);
y=wrnmpos(:,1);
line(x,y,'linestyle',symbol,'erasemode','none','co... |
%%% beta plot
%%% written by ysl 06/27/2014
%%% updated by mjh 11/22/2017
%%% updated to sphere by mjh 06/14/2018
% Uses same sphere radius as MVPA analysis.
close all; clear all; clc;
tic
%% Paths and parameters
[MNI_XYZ,Region] = xlsread([pwd filesep 'multi_roi_list_12subj_v4.xls']);
Region = Region((~cellfun(@ise... |
% Código para o amplia e reduz base
I = imzoneplate;
figure;
[ha, pos] = tight_subplot(1,3,[.01 .03],[.1 .01],[.01 .01]); % criar subplot 6x2
axes(ha(1));
imshow(I);
xlabel('Imagem original');
% Dominio das frequencias
psd = 10*log10(abs(fftshift(fft2(I))).^2 );
axes(ha(2));
imshow(psd);
xlabel('Dominio das frequenci... |
function so = tail(si)
% TAIL As streamCdr
so = streamCdr(si);
|
function [A,GL]=Categorical(d)
if(iscategorical(d)==0)
d1=categorical(d{:,:});
else
d1=d;
end
[m,n]=size(d1);
d2=d1(1,:);
[G,GN,GL] = grp2idx(d2)
for i=1:m
d2=d1(i,:);
n=grp2idx(d2);
num(i,:)=n';
end
A=num;
end
|
load('pcadata.mat');
subplot(2,1,1);
plot(X(:,1),X(:,2),'bo');
title('Datapoints and their 2 principal components');
xmin=0;
xmax=7;
ymin=2;
ymax=8;
axis([xmin xmax ymin ymax]);
[Xmu, mu] = subtractMean(X);
[U,S] = myPCA(Xmu);
hold on;
principalComponents = U' + mu;
%mean_new = mean(U' +mu);
line(principalComponents... |
classdef Remote < Modules.Driver
%INTERPRETERCLIENT Connects with server.py on host machine to control
% the PulseBlaster via the interpreter program. Port 36576.
%
% Call with the IP of the host computer (singleton based on ip)
properties
clk = 500 % Hz
end
properties(SetAcces... |
function h = polarhistogramModify( varargin )
%POLARHISTOGRAM Plots a histogram in polar coordinates.
% POLARHISTOGRAM(THETA) plots an angluar histogram of THETA. The angles
% in the vector THETA must be specified in radians. POLARHISTOGRAM
% determines the bin edges using an automatic binning algorithm that
... |
classdef CacheCustomSaveLoadPlaceholder < handle
properties
className
token
end
methods
function p = CacheCustomSaveLoadPlaceholder(val, token)
p.className = class(val);
p.token = token;
end
function val = doCustomLoadFrom... |
r=10;
f=0.0001;
dis = 0.6;
coordinates = [0,(1+dis)*r];
newcoordinates = [0,(1+dis)*r];
Ccoordinates = [0,(1+dis)*r];
Ccoordinatesnew = [0,(1+dis)*r];
c = [0 r/2];
%hold on;
%axis([-40,40,0,40])
R = 20;
for R=20:30
for dis=0.2:0.2:1
figure;
axis([-R-1,R+1,-1,2*R+1])
hold on;
%title ... |
function [OutMatrix]=ReadTestResults(Column_Total)
load MATRIX_MUL_IP_CORE_S_INT_CSV.txt;
temp=MATRIX_MUL_IP_CORE_S_INT_CSV;
M=size(temp,1);
N=size(temp,2);
MatrixNumbers=M/Column_Total
OutMatrix=zeros(size(temp,1),size(temp,2));
for i=1:MatrixNumbers
OutMatrix((i-1)*Column_Total+1:i*Column_Total,:)=Circulat... |
% book : Signals and Systems Laboratory with MATLAB
% authors : Alex Palamides & Anastasia Veloni
%
%
%
% problem 2 -convolution of x(t) and h(t)
t1=0:.1:.9;
t2=1:.1:10;
h1=zeros(size(t1));
h2=exp(-2*t2);
h=[h1 h2];
t1=0:.1:2;
t2=2.1:.1:10;
x1=ones(size(t1));
x2=zeros(size(t2));
x=[x1 x2... |
function ynew=smoothdiff(dados,xnew,sdx,q,nmin)
%
% function ynew=smoothdiff(dados,xnew,sdx,q,nmin)
%
% This function smooths and differentiates a sequence of numbers based on
% an algorithm similar to Savistky and Golay. There are no restrictions
% however, on the number of points or on their spacing.
% This fu... |
function tsa = tsd(t, qData, tUnits)
%
% tsa = tsd(t,data)
% tsa = tsd(t,data, units) e.g. units = {'ts','sec', or 'ms'; assumes 'sec'}
%
% tsd is a class of "timestamped arrays"
% It includes a list of timestamps
% and data (possibly an array).
% The first dimension of Data correspond to the
% timestamps gi... |
function program = setup(conf)
if ( nargin < 1 || isempty(conf) )
conf = sfix.config.load();
end
conf = sfix.config.reconcile( conf );
program = make_program( conf );
try
make_all( program, conf );
catch err
delete( program );
rethrow( err );
end
end
function make_all(program, conf)
make_task( program, co... |
%% Plot single electrode topography
if exist('/home/knight/','dir');root_dir='/home/knight/';app_dir=[root_dir 'PRJ_Error_eeg/Apps/'];
else; root_dir='/Volumes/hoycw_clust/'; app_dir='/Users/colinhoy/Code/Apps/';end
addpath([app_dir 'fieldtrip/']);
ft_defaults
elec_lab = 'Fz';
tmp_SBJ = 'EEG01';
tmp_an_id = 'ERP_... |
% Solves an 1D one phase flow problem like OpenFOAM
clear all;
page_screen_output(0);
% Case initialization
test1
% **************************** MAIN PROGRAM ***************************
% Gravity treatment terms
ghf = g*xF;
gh = g*xC;
% Set fields as 'old' states
rho0 = rho;
U0 = U;
p0 = p;
% phi field initializa... |
% Filename: basschromagram.m
% Function: compute the bass chromagram of the input fft amplitude spectrum
% Author: tangkk
% Date: Aug. 16th 2014
% Organization: The University of Hong Kong
function [basschroma, bassmax] = basschromagram(fftAmpSpec, f)
% bass chroma
% bass range: 20Hz - 450Hz
% A = 69, mod (69, 12) = ... |
function legendre_total = associated_Legendre(l,x)
%% associated_Legendre
legendre_total=zeros(2*l+1,length(x));
legendre_total(l+1:end,:)=legendre(l,x);
ms=(1:l)';
legendre_total(1:l,:)=flipud(legendre_total(l+2:end,:).*repmat((-1).^ms.*factorial(l-ms)./factorial(l+ms),[1 length(x)]));
end |
function [y]=fx(x)
y=x.^2-6*x+2;
return
|
function [result] = KUR1(x)
%KUR1
result = 0;
N = length(x);
for i = 1:N-1
result = result -10*exp(-0.2*sqrt(x(i)^2 + x(i+1)^2));
end
end
|
clear
C_prev = 22;
C = 50; % total number of cycles
check_cycle = C;
test_rep_num = 3;
spike_frac = 0; % fraction of H pure culture spiked in
spike_test = [0.35 0.7];
sl = length(spike_test);
% upper bound for gH_max. for gH_max_Bound = 0.3, set V = 1.
gH_max_Bound = 0.8;
% the factor for amount of R(0)
V = 10;
% mini... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%BLP MERGER SIMULATION WITH PAINKILLER DATASET
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Parametric bootstrap merger simulation
clear;
estimateDemand = true
optimalIV = true
quadrature = false
merge ... |
function h=meas(sysflag)
% Measureing level in tank system
global Xs
global Cs Ds en
global t Ts Tnext;
global Cn2 Dn2 Xn2 n2
global en
if sysflag==0, % Physical A/D converter
timer=[0 0 0 3600 60 1]';
t=clock*timer;
while t<Tnext, t=clock*timer; end;
Tnext=Tnext+Ts;
[level,stat]=ad_mm1;
h=l... |
% sQMG24B.m
% Solving the Time Dependent Schrodinger Equation using the FDTD Method
% Motion of a wave packet
% Ian Cooper
% DOING PHYSICS WITH MATLAB
% https://d-arora.github.io/Doing-Physics-With-Matlab/
% Documentation
% https://d-arora.github.io/Doing-Physics-With-Matlab/mpDocs/QMG24A.htm
% IAN COOPER
... |
global concore;
import_concore;
load("MPC_data.mat");
xm = Data.op1.x0; % initial condition of plant
u = Data.op1.us; % initial input
disp("us")
disp(u)
concore.retrycount = 0;
concore.delay=0.01;
Nsim=150;
init_simtime_u = "[0,0,0,0,0,0,0]";
init_simtime_ym = "[0,0,0]... |
function krzywe(xi,yi)
% wyznaczanie dlugosci t
n=length(xi);
tk=[1:n];
% generowanie splainu interpolacujnego 3 stopnia dla danych
% S=(tk,xi) oraz Q=(tk,yi)
S=splain(tk,xi);
Q=splain(tk,yi);
% rysowanie wykresu krzywej (S(t),Q(t))
plot(S,Q, 'Color','b','Linewidth',2 )
plot(xi,yi,'or','Linewidth',2, 'MarkerSize',7)... |
% 通过差分方程求出系统的频率响应
% 向量化
clear all;
x = [0.0181, 0.0543, 0.0543, 0.0181];% 分子
y = [1.00, -1.76, 1.1829, -0.2781];% 分母
m = 0:length(x)-1;
l = 0:length(y)-1;
N = 1000;
k = 0:N;% 等分频率
w = pi*k/N;
num = x*exp(-j*m'*w);
den = y*exp(-j*l'*w);
H = num./den;
subplot(2,1,1);
plot(w/pi,abs(H),'LineWidth',2);
xlabel... |
function [x] = check_park(Xc,Yc,ym,xmax,Xm,Ym)
%物理参数
Rw =3.5; %单车道宽度
R = 4.5; %设定的转弯半径（略大于Rmin）
L = 2.15; %轴距
W = 1.67; %车宽
safe_dis = 0.1; %安全距离
Lc = 3.2; %车长
DR = 0.5; %后悬
%坐标系以车库口中点为原点，车库宽2.5米，深5米
P1x = -1.25; P1y = 0;P2x = 1.25; P2y = 0; P3x= -1.25; P3y = -5; P4x = 1.25; P4y = -5; %车库四角坐标
if Yc < Ym
... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%读出要处理的图象
clear
clc
close all
I=imread('lena.tiff');
bw4=rgb2gray(I);
%bw4=imnoise(imagray,'salt & pepper',0.05);
%bw4=medfilt2(bw4);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%画出原始图象
figure(1)
imshow(bw4)
title('原始图象')
%%%%%%%%%%%%%%%%... |
function SS_ResidVariance
% PLOT RESIDUAL VARIANCE AS FUNCTION OF K
load('run_options.mat');
load('clusters_kmedoids.mat');
load('HCTSA_N.mat');
fprintf('Computing pairwise Euclidian distances for TS using all operations\n');
residVars = [];
pcaResidVars = [];
S = pdist(TS_DataMat);
[pcaM score] = pca(TS_DataMat);
... |
function Y = tfidf( X )
% FUNCTION computes TF-IDF weighted word histograms.
% Y = tfidf( X );
% INPUT : X - document-term matrix (rows represent documents, columns represent words)
% OUTPUT :Y - TF-IDF weighted document-term matrix
% get term frequencies
tf_X = tf(X); % still matrix D*W
% get inverse documen... |
function train_mass1_x = noiser(train_x)
[len1, len2] = size(train_x);
train_mass1_x = zeros(len1,len2);
for k1 = 1:len1
pic = train_x(k1,:);
%
noise = ((pic == 0) .* (rand(size(pic)) < 0.05)) .* (rand(size(pic))*255);
train_mass1_x(k1,:) = pic + uint8(noise);
%
end
end |
% Herausfinden des Dateinamens für ein abzuspeicherndes Bild. Die
% Dateinamen werden im Laufe des PSO-Algorithmus generiert und enthalten
% laufende Nummern der Generationen und Individuen
%
% Eingabe:
% Set
% Einstellungen des Optimierungsalgorithmus (aus cds_settings_defaults.m)
% Structure
% Eigenschaften der ... |
%% preparation
% N=2000;
% smalldata = data{1}(:,:,1:N);
N=500;
smalldata=ffdata;
m = mean(smalldata,3);
smalldata = reshape(smalldata,[400*750 N ]);
smalldata=double(smalldata');
%% skew
S=skewness(smalldata);
SR=reshape(S,400,750);
figure
imagesc(SR)
title('skewness')
%% kurtosis
K=kurtosis(smalldata);
KR=reshape(... |
% % Define these variables appropriately:
% mail = mail'; %Your GMail email address
% password = pass; %Your GMail password
% setpref('Internet','SMTP_Server','smtp.mail.yahoo.com');
% setpref('Internet','E_mail',mail);
% setpref('Internet','SMTP_Username',mail);
% setpref('Internet','SMTP_Password',password);
% props... |
%% Gets conditional Frechet mean estimates using local Frechet regression for spherical response data and scalar predictor
% Inputs: Y = response data 3xn
% x = nx1 vector of predictors corresponding to observations in Y
% h = bandwidth
% xout = mx1 vector of predictors to be used for computin... |
function g = sigmoid(x)
g=1.0 ./( 1.0 + exp(-x) );
end |
function disableSonar()
% sonarInit - This function disables the sonar
% ========================================================================
%
% sonarInit()
%
% Description:
% This function disables the sonar either in Simulation when
% MobileSim is open or in real(Pioneer 3DX).
%
% Known Bugs:
% kn... |
rng(0,'twister');
%Sample Data, Randomized
% Finger 0 = Thumb -----------------------
% Finger 0(x)
mf0x = 77.8;
sf0x = 2;
f0x = sf0x.*randn(90,1) + mf0x;
statsf0x = [mean(f0x) std(f0x) var(f0x)];
% Finger 0(y)
mf0y = 80;
sf0y = 2;
f0y = sf0y.*randn(90,1) + mf0y;
statsf0y = [mean(f0y) std(f0y) var(f0y)];
% Finger 0(... |
function [F, M] = controller(t, state, des_state, params)
%CONTROLLER Controller for the quadrotor
%
% state: The current state of the robot with the following fields:
% state.pos = [x; y; z], state.vel = [x_dot; y_dot; z_dot],
% state.rot = [phi; theta; psi], state.omega = [p; q; r]
%
% des_state: The desired... |
function self = rotate(self,v)
p=inputParser;
addRequired(p,'v',@(x) isnumeric(x) && sum(size(x)==[3,3])==2 || length(x)==4);
parse(p,v);
if length(v) == 4
q2 = v;
else
q2 = qrot.q2R(v);
end
self.q(:)=qrot.quatrot(self.q,q2);
return
end
|
function [ res ] = forwardPropagate(X, theta)
% uses Sigmoid
X = [ones(size(X,1),1) X];
res = sigmoid(X*theta');
end
|
% This code reproduces the analyses in the paper
% Urai AE, Braun A, Donner THD (2016) Pupil-linked arousal is driven
% by decision uncertainty and alters serial choice bias.
%
% Permission is hereby granted, free of charge, to any person obtaining a
% copy of this software and associated documentation files (the "Soft... |
% This class communicates with digitizers via a TCP/IP
% (Ethernet) connection. Digitizer objects are created from a specific
% address or a cell array of addresses.
% dig=Digitizer('192.168.0.100'); % specific address
% dig=Digitizer({'192.168.0.100' '192.168.0.105'}); % address list
% The first example returns... |
function [y, Sf] = genTraj(IC,FC,tauf,h,ONOFF)
%% Interface
% IC,FC - terminal conditions
% tauf - length of the dimensionless arc
% h - graphics handle:: trajectory plot
% Generated trajectory
%% Initialization and mappingof terminal conditions
% IC-"i" d/dt-"dt" d/dtau-"p"
%
d2r=1;
xi=IC(1:3);
Vi=I... |
%% Demonstration of Profiled Estimation of Differential Equations
%% The FitzHugh-Nagumo Equations
%
% This page provides a detailed description of the MATLAB calculations
% necessary to run the profiling estimation code for differential
% equations.
%
% For further technical detail, please refer to the Profile_Users_... |
function [markerValue neighbourIxs] = knnClassifier(pt, featurePts, markers, k)
% Assigns point with marker (==label) value basing on its neigbours.
% Parameters:
% pt = [x y z] - point to be classified.
% featurePts - potential neighbours
% markers - assignment values for featurePts
% k - how many neighbours... |
%% 自HPGe能谱411keV峰分析Au含量,双峰拟合以处理In-116m的416keV影响
% 先使用handle_nmlHPGe得到标准化能谱
clear;close all;
filename = 'data';
load([filename,'-nml.mat']);
ch_range = 40;
%% 拟合峰面积
peak411 = round(0.411/caliParam.EStep);
peak416 = round(0.416/caliParam.EStep);
thisRange = (4080:4200)';
thisSpec = spec_meas(thisRange,1);
thisROI = [thi... |
%-----------Plot config-------------------------------
set(0,'DefaultLineLineWidth',2)
%----------------------------------------------------
clear all
DDs = readtable('vibr_phi.txt');
cell=table2array(DDs);
f_cell_splitted = split(cell);
f_cell_splitted = str2double(f_cell_splitted);
Mag = f_cell_splitted(1:end, 3);
... |
function align(bench)
%ALIGN Summary of this function goes here
% Detailed explanation goes here
global naomiGlobalBench;
if nargin<1; bench=naomiGlobalBench;end
if ~bench.has('wfs')
msgbox({'The Wave front is offline', 'Start it first'});
return
else
if isempty(naomi.findGui('Alignment'))
na... |
function Anew = householder(A)
% householder(A) uses Householder method to form a tridiagonal matrix from A.
% Must have a SQUARE SYMMETRIC matrix as the input.
%
%
% Example:
%
% B=[0 1 1;1 2 1;1 1 1];
% householder(B)
%
%
% Author: Matt Fig
% Contact: popkena... |
function [samples,LL,exitflag,output,savefilename] = sample_model(data,v_dy,modelid,task,noise,subjid,chainid,dn_flag,rbmflag,Nsamples,startpoint)
if nargin < 8 || isempty(dn_flag); dn_flag = 0; end
if nargin < 9 || isempty(rbmflag); rbmflag = 0; end
if nargin < 10 || isempty(Nsamples); Nsamples = 1e4; end
if nargin < ... |
function update=update()
global u;
global nextu;
global v;
global nextv;
q=.002;
f=2.5;
n=256;
Du=1; %
Dv=0.000; %
Dh=.01;% spatial res
Dt=.0015;% time step
eps=0.05;
for x=1:n
for y=1:n
%state-transistion function
uC=u(x,y);
uR=u(modi(x+1,n),y);
uL=u(modi(x-1,n),y... |
function result = MAV_calc(data, window_size)
if window_size > 0
col_count = size(data, 1);
result = zeros(size(data));
padded_data = [zeros(col_count, window_size - 1) data];
data_window = zeros(col_count, window_size);
for i = window_size : length(padded_data)
data_window(:, :) = pa... |
function y=op(x,cmd)
%applies a vector command to x
eval(['y=x' cmd ';']); |
classdef highway_HLP < high_level_planner
methods
function HLP = highway_HLP(varargin)
HLP@high_level_planner(varargin{:}) ;
end
function waypoint = get_waypoint(HLP,agent_info,world_info,d)
% d is a 3x1 matrix that holds the front car info.
[~, laneidx] = min(d);
% [distf, ... |
function theme(H, themeID, useMarkers, lineWidth, markerSize, titleFontSize, axesFontSize)
%THEME applies a color theme to the specified figure or sets the
% default theme of new plots as best it is able.
%
% Author: Stephen E. Conover
%
% Version: 1.1
% Date: June 19, 2007
% MATLAB Version: MATLAB Version 7.... |
function [xdot] = avoidObst(x,xo);
e = x-xo
epsilon = 1;
c = 0.1;
K = (1/norm(e))*(c*(1/norm(e)^2 + epsilon));
if norm(e) < 25
xdot = K*e;
else
xdot = 0;
end
|
function dMdx = MnUBacmb(x,M,p)
% p is a structure with the parameters
dMdx=zeros(2*p.n,1);
dMdx(1)=M(p.n+1);
dMdx(p.n+1)=p.K1*M(1)/(p.K2+M(1));
i=1;
for j=p.q+1:p.n
dMdx(p.n+i) = dMdx(p.n+i)- 2*p.K6*M(j);
end
for i=2:p.q-1
dMdx(i) = M(p.n+i);
for j=i+p.q:p... |
close all, clc
base = 'Step_';
res = [];
go = 1
for i=0.5:0.2:3.9;
num = int2str(i);
name = strcat(base, num, '.lvm');
fil = load(name);
u = fil((end-50):end, 2);
res = [res; u'];
end
|
%彩色图像的锐化处理
clc;
clear all;
close all;
addpath(fullfile('G:/stego of me/strict','JPEG_Toolbox'));
%f=imread('0.jpg'); %加载原图像
%f=imread('G:/stego of me/strict','tiger1', '1.jpg');
filepaths=dir(fullfile('G:/stego of me/strict', 'tiger1', '*.jpg'));
for i=1:600
inputPath=fullfile('G:/stego of me/strict', 'tiger1'... |
for n=1:nT
for i=2:npts-1
for j=2:npts-1
phi(i,j)=cfl*sqrt((phi(i,j)-phi(i,j-1))^2+(phi(i,j)-phi(i-1,j))^2)*g_DU(i,j)*kurv(i,j)...
+(1+cfl*(Dxg_DU(i,j)+Dyg_DU(i,j)))*phi(i,j)-cfl*(Dxg_DU(i,j)*phi(i-1,j)+Dyg_DU(i,j)*phi(i,j-1));
phi2(i,j)=(1+cfl*(Dxg_DU(i,... |
% this is a code for modelling of concentric tube robot in free space based on " Design
% and Control of Concentric-Tube Robots " by Dupont
clearvars
clc
%% Initializing parameters
param % load tube parameters inside param.m file
tic
l=0.01*[45 30 20]; % length of tubes
B=0.01*[-14 -10 -5]; % le... |
function dy=vdp1(t,y);
dy=[y(2);(1-y(1)^2)*y(2)-y(1)]; |
load carsmall
ds = dataset(MPG,Weight,Model_Year);
lme = fitlme(ds,'MPG ~ Weight + (1|Model_Year)')
% Plot predicted values conditional on each year.
gscatter(ds.Weight,ds.MPG,ds.Model_Year)
ds2 = dataset;
ds2.Weight = linspace(1500,5000)';
ds2.Model_Year = repmat(70,100,... |
function SwapFuelMap(fue_new,ch,mapfil)
if ~isstruct(fue_new),
resfil=fue_new;
fue_new=read_restart_bin(resfil);
end
fid=fopen(mapfil,'w');
mminj=fue_new.mminj;
% Swap the fuel
fue_new.ser(ch(2:-1:1),:)=fue_new.ser(ch,:);
fprintf(fid,'''FUE.SER'', 6 /\r\n');
blank=' ';
% Left Core Half
ikan=0;
[rig... |
function [] = Lorentz_eqs
% Solve the Lorentz equations.
clc; clear; close all;
options = odeset('RelTol',1e-5,'AbsTol',[1e-5 1e-5 1e-5]);
sigma = 10; b = 8/3; r=21;
[T,Y] = ode45( @ode_Lorentz, [0 15], [5,5,5], options, sigma, b, r );
n = length(Y(:,1));
k = 0;
for i=0:n/100:n
plot3(Y(1:i,1),Y(1... |
function a = MonotoneIncrease_Elegant(vec)
% this is the nice way to determine if a vector increases
% monotonically.
if all(diff(vec)>0)==1
tf = true;
else
tf = false;
end
fprintf("Output is %i\n",tf);
end
|
function SBJ06c_TT_ERP_save_mean_window(SBJ_id,proc_id,feat_id,varargin)
%% Save amplitude and latency of condition-averaged ERP peaks or mean window in target time (TT) task
% COMPUTATIONS:
% Select trials for conditions of interest
% Load and average single-trial ERP within condition
% Find feature based on pea... |
frequency_logic = [100 200 300 400 500];
frequency_register = [100 200 300 400 500 600];
power_logic = [0.1415 0.2840 0.5257 0.6992 1.0016];
power_register = [0.2359 0.4773 0.7263 0.9869 1.3718 1.8776];
area_logic = [4181.039986 4176.360006 4807.080038 5236.560042 6531.840052];
area_register = [4782.959931 4913.999997 ... |
function Labeling_1(segementAxis)
%Labeling_64 Divides images into segemnts for waste class labeling
%
% segementAxis = Number of segments along x and y axis of the image.
%
% Show the image to select class between 0 and 1. Class 0 indicates no
% waste in the bin and class 1 indicates the presence of waste. If ... |
% Example 10.4 subroutine
% from Parameter Estimation and Inverse Problems, 3rd edition, 2018
% by R. Aster, B. Borchers, C. Thurber
%
% ufinal=forward(m,n,deltat,deltax,D,u0)
%
% Integrate the heat equation forward in time using the Crank-Nicolson
% implicit Euler method.
%
% The system of equations for each step in t... |
%**************************************************************************
%Function Name: mx_StartPar
%Author: Anna Ringheim
%Created: 080313
%Description: Returns a struct of model specific start parameters.
%Input:
%Output: model (struct)
%Function calls:
%Revision history:
%Name Date Comment
%AR ... |
function [nagent,nn]=agnt_solve(agent)
%sequence of functions called to apply agent rules to current agent population.
%%%%%%%%%%%%
%[nagent,nn]=agnt_solve(agent)
%%%%%%%%%%%
%agent - list of existing agent structures
%nagent - list of updated agent structures
%nn - total number of live agents at end of update
%Creat... |
function a = graphPlot(g, outputFile, varargin)
%GRAPHPLOT Plot a graph using SFDP.
% A = GRAPHPLOT(G, OUTPUTFILE, OPTIONS) generates a PNG image of the graph G,
% saved to OUTPUTFILE. If a return value A is specified, the image is
% also loaded into A. The plot is generated by writing G to a temporary
% f... |
function [D]=patchEdgeLengths(F,V)
% function [D]=patchEdgeLengths(F,V)
% -----------------------------------------------------------------------
% Computers the edge lengths (D) for the patch data specified by the faces
% (F) and vertices (V) arrays. If size(F,2)>2 it is assumed that F indeed
% represents faces... |
clc
clear all
%% liquid
IspSL = 311; %s
IspVAC = 338; %s
tb = 253; %s
%solid
Isp = 330; %s
tbS = 94; %s
mp = 2889; %kg
mdot = 900; %kg/s
m0 = 250000;
m = m0;
g0 = 9.81;
y = 0;
dt = 1;
v = 0
for t = 0:dt:100;
y = [y (g0*IspSL*t*(1 - log(m0/m)/(((m0/m)-1))) - (1/2)*g0*t*t )];
g0*IspSL*t*(1 - log(m0/m)/((m0/m-1)));
v... |
function Y_est = prediction(U_est,V_est,Z,alpha_est,I,J)
% predict the observed Y
% coded by Eugene Seo (seoe@oregonstate.edu)
N_est = U_est*V_est';
P_vec = Z*alpha_est;
P_mat = reshape(P_vec,I,J);
P_mat = min(P_mat,1);
P_mat = max(P_mat,0);
if min(P_mat(:)) < 0 || max(P_mat(:)) > 1
disp(num2str(min(... |
% Script recording started at : 20-Jun-2018 08:24:35
% YOUR SCRIPT NAME HERE
% ---------------------
% This is a template for an imlook4d script that runs your code and puts the results into a new imlook4d window.
% For documentation: a) imlook4d menu "/HELP/Help", or
% b) type in matlab: open... |
% % Illustrative how a Baysian Filter works in the context of robot localization
% The location of the robot
r=[4;4];
figure(1);
h=plot(r(1),r(2),'r.');
set(h,'markersize',50,'linewidth',4);
axis([0,8,0,8]);
% Sensor sense N times. N mesurements, Z vector, have noise follows gaussian
% distribution with variance ... |
function [Clusters] = unnormalized_spec(Data,k)
%UNTITLED5 Summary of this function goes here
% Detailed explanation goes here
M = size(Data, 1);
A = zeros(M);
for i=1:M
for j=1:M
dist = norm(Data(i,:)-Data(j,:));
A(i,j)=exp(-power(dist,2));
end
A(i,i)=0;
end
D = zeros(M);
for i=1:M
... |
% Calculates the pressure distribution along a porous aerofoil
% using the Jacobi polynomial expansion
addpath('matlab2tikz/src')
imageFolder = '../unsteady-jacobi/images/';
% Set angle of attack and parabolic camber (only use alp=0 for now)
beta0 = 1; beta1 = 0;
z = @(xVar) beta0/2 + beta1*xVar; struct.z = z;
dzdx ... |
function V_form
%v=vint;
%sr=r*Chd;
t=t=[0:1e-6:1e-3];
sr=0;
v=vint+sr*t;
%v=vint+exp(f*t);
%v=vint+(1/r+1/rf)*r*t.^2/Chd;
%v=vint+tripuls(2*pi*f*t,0.5,0.2);
%v=vint+(1/r+1/rf)*r*sin(2*pi*f*t);
%v=vint+amp*(1/r+1/rf)*r*square(2*pi*f*t,10);
%v=vint-amp*(1/r+1/rf)*r*cos(2*pi*f*t);
%v=-(1/r+1/rf)*r*sin(2*pi*f*t)+(1/r+1/r... |
function [PSD_n, pSNR] = sp_noiseEstimation_SR(noisy)
% ----- initial --------
n = noisy( 1 : 256 );
N1 = fft(n);
N = abs(N1(1:129));
Dw = N;
D1 = N;
minBuffer = N*[1 1 1 1];
FrameNum = 0;
frame_num = min(20000, floor(length(noisy)/128));
% -------------------------
Y = zeros(129,1);
for ij = 0 :... |
n= 4
pai = 3.1415926
xita = linspace(0,4.*pai,1000)
fai = xita *0.5
A= 10
t1 = A*sin(n.*fai)
t2 = sin(fai)
A1 = (t1)./(t2)
I1 = A1 .^2
t3 = 4 *(A.^2)
t4 = 6*cos(xita).*(A.^2)
t5 = 4*cos(2*xita).*(A.^2)
t6 = 2*cos(3*xita).*(A.^2)
I2 = t3 + t4 + t5 + t6 +500
plot(xita,I1,'--b',xita,I2,'r')
legend('1','2') |
function EEG2 = denoise_bcg4(EEG)
% function EEG2 = denoise_bcg4(EEG) ;
EEGfilt = EEG ; EEGfilt.data = eegfiltfft(EEG.data,EEG.srate,5,15) ;
corrmat = corr(EEGfilt.data') ;
stelec = 46 ;
[~,si] = sort(corrmat(stelec,:),'descend') ;
meanpost = (mean(EEGfilt.data(si(1:10),:),1)) ; wsize2 = round(EEG.srate*.25... |
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