text stringlengths 8 6.12M |
|---|
function [segments, segment_locs] = segment_image(...
img, BinThreshold, MinPeakProminence, MaxPeakWidth)
% 二值化图像，以滤去噪声，增强对比度
img_b = imbinarize(img, BinThreshold);
% 求水平方向的平均灰度值，并反色以便寻峰
row_avg = 1-mean(img_b, 1);
% 寻峰，获得垂直分割线坐标
[~, col_locs] = findpeaks(row_avg, ...
'MinPeakPromine... |
function d = dog_leg(grad,B,delta)
% 狗腿法求解信赖域方法子问题：
% min q(d) = f(x) + grad'*d + 0.5*d'*B*d, s.t. ||d||<=delta
% input: grad是x处梯度，B是近似Hessian矩阵，delta是当前信赖域半径
% output: d是子问题的解
% case 1: 全局最优解在信赖域内，走全局最优解
% case 2: 全局最优解和沿负梯度方向最优解都在信赖域外，走负梯度方向直到信赖域边界上
% case 3: 全局最优解在信赖域外，沿负梯度方向解在信赖域内，先走负梯度方向解，再沿两最优解之差走，直... |
% 例4，半波整流信号的频谱
% 北京邮电大学，尹霄丽
% 2018年12月
syms T t n;
x=cos(2*pi/T*t);
%被积函数
integrand=x*exp(-i*n*2*pi/T*t)/T;
%积分
Xn=int(integrand,t,'-T/4','T/4');
Xn=simplify(Xn)
Xn_1=int(x*exp(i*2*pi/T*t)/T,t,'-T/4','T/4');
Xn1=int(x*exp(-i*2*pi/T*t)/T,t,'-T/4','T/4');
Xnn=[subs(Xn,'n',-10:-2) Xn_1...
subs(Xn,'n',0) Xn1...
sub... |
function lineout = alignLine(linein, blank_surround)
if nargin < 2
blank_surround = 1;
end
%---> Format text:
width = 80;
line_len = width;
lineout = linein;
delimiter = '-';
blanks_before = round(line_len/2 - size(linein,2)/2);
blanks_after = line_len - (blanks_before + size(linein... |
function [Clasificador, PS, M, Sigma] = clasificador(Clase, DIMENSIONES, K_VAR, espacio)
Tamano=size(Clase,1);
for i=1:K_VAR
M(i,:)=Clase(randi(Tamano),1:2);
Sigma(:,:,i)=eye(DIMENSIONES);
Pi_var(i)=1/K_VAR;
end
for z=1
for i=1:Tamano
for j=1:K_V... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function []=FDTD_12m()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
KSteps =200;
Ex =zeros(KSteps,1);
Hy =zeros(KSteps,1);
Kc =floor(KSteps/2.0);
T0 =40.0;
spread =12;
NSteps =400;
ExBH =[0 0];
ExBL =[0 0];
Esi =[ones(Kc,1); 4*ones(KSteps-Kc,1)];
tStep =[ 1 10 20 30 40 50 100 120 140 16... |
clc;
close all;
clear;
%%
path='C:\Users\Admin\Documents\MATLAB\Fusion Toolkit\SheetsFinal\';
avgA=zeros(10,7);
for SheetNo=1:7
A = xlsread([path 'Dataset8.xls'], SheetNo, 'B2:H11');
avgA=avgA+A;
end
avgA=avgA./7;
Sheet=8;
xlswrite([path 'Final.xls'],avgA,Sheet,'B2:H11');
|
function [] = Lab7_Q3()
clc;
figure_i = 1;
figure_name = 'Lab7_Q3-Figure';
% Parameters for classical BSM.
T = 1; K = 1; r = 0.05; sig = 0.6;
t_vec = 0:0.01:1;
s_vec = 0.5:0.01:1.5;
% Surface Plot for Call.
c_s_t_var = zeros(length(t_vec), length(s_vec));
fig_name = ['Surface Pl... |
%Matriz de refuerzos mixtos
% Acciones vs estados
% Acciones: 9
% Estados: 19683
%%
RM = zeros(19683,9);
for e = 1:19683
Estado_index = e;
for a = 1:9
Estado = indexToState(Estado_index);
[M, error] = ingresar(Estado, a, 1);
if error == 0
if ganar(M) == 1
RM... |
function [GIACENZA_MIN,dens_BS,dens_D,dens_B95,dens_GA,dens_BD,CARICA,SCARICA,SCARICALITRO,V_MEDIA,MINxKM,TEMPO_MAX,MAXDROP,KM_MIN,DISTANZA_MAX_PVPV,ELLISSE,beta,esponente] = CaricaSettings(baseCarico,conn)
setdbprefs('DataReturnFormat', 'table');
setdbprefs('NullNumberRead', 'NaN');
setdbprefs('NullStringRead', 'nu... |
function out=nodeg(u,u0)
%node output
out=0.5*(1+tanh(u/u0));
|
% Plots
figure
plot(CA,P*1e-5)
hold on
figure
plot(CA,Tu, CA,Tb)
legend('T_u','T_b')
figure
plot(V,P)
yyaxis right
plot(V,T)
legend('Pressure','Temperature')
figure
subplot(2,1,1)
plot(CA,P)
yyaxis right
plot(CA,Tu, CA,Tb)
legend('Pressure','T_u','T_b')
subplot(2,1,2)
plot(CA,mu, CA,mb)
legend... |
clear all;
%生成数据点
titles={'原始点'};
N=10;
noise_sigma=0.08;
x=rand(10,1);
y=sin(2*pi*x)+randn(10,1)*noise_sigma;
scatter(x,y);
hold
%拟合数据
for M=2:1:5
X=[];
for x1 = x
row=[];
for i=0:1:M %生成行数据
row=[row x1.^i];
end
X=[X;row];
end
T=y;
W=inv((X'*X))*X'*T;
%画... |
N = 12;
highestPow = floor(log2(N));
bin = zeros(1, highestPow+1);
rem = N;
while rem > 0
power = floor(log2((1/rem)*exp(0.6931)));
bin(power+(highestPow+1)) = 1;
rem = rem - 2^-power;
end
bin |
%% Initialization and Parameters
close all,
clear all,
tic,
InitMovieFiles,
nSegments = 6; %Can only be 9, 6 or 4 at this point, but simple to modify code to allow more
nPCs = 200;
PCuse = 1:100;
mu=.15;
nIC = length(PCuse);
maxshift = 5; %Maximum LOCAL (within acquisition) shift. Smaller than maximal GLOBAL shift (in... |
function winmerge(varargin)
% FUNCTION: winmerge - Run Winmerge.
%
% SYNTAX: winmerge(left, right);
% winmerge(left, right, filtername);
% winmerge(left, right, filtername, halt);
%
% DESCRIPTION: Run Winmerge.
%
% INPUT: - left (string)
% Left... |
function [line, shade, legend_labels] = waveplot2(y, condition,varargin)
% Takes time series and wavepain condition and plots it colored according
% to tasks to current axes. Condition must be specified with capital letter first.
% optional arguments:
% - varargin{1} specifies error must be of the same leng... |
function varargout = VIS_IR_GUI(varargin)
% VIS_IR_GUI MATLAB code for VIS_IR_GUI.fig
% VIS_IR_GUI, by itself, creates a new VIS_IR_GUI or raises the existing
% singleton*.
%
% H = VIS_IR_GUI returns the handle to a new VIS_IR_GUI or the handle to
% the existing singleton*.
%
% VIS_IR_GUI('CALL... |
function check_P(P,X,XC)
n = size(X{1});
nn=prod(n);
nc=size(XC{1});
YC = XC{3};
for i=nc(3):-1:1
YC(:,:,i)=YC(:,:,i)-YC(:,:,1);
end
for i=1:3;
xmax(i)=max(XC{i}(:));
xmin(i)=min(XC{i}(:));
end
f = @(x1,x2,y)(y-xmin(3))/(xmax(3)-xmin(3));
FC = f(XC{1},XC{2},YC);
F = reshape(P*FC(:),n);
p.no_error_title=1;
... |
thedir='/Volumes/ice1/ben/sdt/KTL03/';
files=dir([thedir,'/ATL*.h5']);
out_dir=[thedir,'/ATL06'];
if ~exist(out_dir,'dir')
mkdir(out_dir)
end
% read in the SNR F table:
fields={'BGR', 'W_surface_window_initial','SNR', 'P_NoiseOnly'};
for kf=1:length(fields)
SNR_F_table.(fields{kf})=h5read('SNR_F_table.h5', [... |
classdef Animation < handle
properties
figure;
paused;
timer;
frame;
length;
render;
fps;
end
methods
function this = Animation(fig)
this.figure = fig;
this.paused = true;
this.timer = [];
this.frame = 1;
this.length = 0;
this.fps = 25;
th... |
function [Model, Info] = linear_map_sparse_cov(X,Y,Model,parm)
% Estimate linear weight matrix for input-output mapping
% Automatic Relevance Prior for each input dimension
% is imposed to get sparse weight matrix
%
% [Model, Info] = linear_map_sparse_cov(X,Y,Model,parm)
%
% --- Input
% X : Input d... |
function Pz=dongtai(v,range,dstartx,dstarty,vx,vy)
global h1
global h2
global h3
persistent pstartx;
persistent pstarty;
if isempty(pstartx)
pstartx=dstartx;
end
if isempty(pstarty)
pstarty=dstarty;
end
pstartx=pstartx+v*vx;
pstarty=pstarty+v*vy;
Pz=[pstartx,pstarty,range];
Alpha=0:pi/1000:2*pi;
x1=range*... |
function f_result = dft(input)
% discrete fourier transform for 1D or 2D input
[M, N, C] = size(input);
if ~(M>1 && N>1 && C==1) && ~(M==1 && N>1)
error('input should be a row vector or a matrix')
end
f_result = zeros(M, N);
x = repmat((0:M-1)',1,N);
y = repmat(0:N-1,M,1);
for u = 0:... |
temp=struct2cell(Batch);
xx=[temp{8,:}];
yy=[temp{7,:}];
for i=1:length(crash_array)
if crash_array(i)==0
cc(i,:)=[0 0 1]
else
cc(i,:)=[1 0 0]
end
end
% ccc(C==0,:)=[0 0 1];
% ccc(C==1,:)=[1 0 0];
scatter(xx,yy,50,cc,'filled')
xlabel('Inclination')
ylabel('VelocityImpact') |
%% Creating working sample
%
% Input:
% obj - subsampling object
% X_s - Nx1 vector of discretized values
% artX - Nx1 vector of artificially generated r.v.
% id_s - Nx1 vector which contains the sub-sample's number
% double_cond - scalar
% true - calculate double conditional mean for FE
% false ... |
clear all;
CHiMEInit;
Nsource = 2;
Nchan = 6;
Lwindow = 256;
Nfft = Lwindow;
overlap = 0.75;
powThresh = -10;
cmin = 6400; % minimum context duration (400 ms)
cmax = 12800; % maximum context duration (800 ms)
EMITERNUM = 20;
GAMMA = 20;
sets = {'dt05'};
modes = {'real' 'simu'};
micFailFid = fopen([workRoot 'micfail.... |
% This function is from
% http://www.mathworks.com/matlabcentral/fileexchange/31305-simple-solar-cell-and-panel-model
% This cell is of
% http://www.cs.wmich.edu/~sunseeker/files/A-300%20data%20sheet.pdf
function Ia = solar(Va,Suns,TaC)
% Ia,Va = current and voltage vectors [A] and [V]
% G = number of Suns [] (1 Sun =... |
classdef cs
% CS 分类统计 Classified Statistics
% 计算数据的分类统计属性
% 陆怀宝个人使用并维护
% Lu, Huaibao; 201307;
% Cheng, Gang; 20140124; 添加注释并检查
properties
end
methods (Access = 'public', Static = true, Hidden = false)
[ category ] = categorize( data );
[ patterns,id ] = excldPa( patt... |
function [ distn ] = prepScore( distn, dirinv )
%prepScore normalizes distn
% Shifts the min of distn to zero, then normalizes to the max of distn
% Inverts if higher values are detrimental
%% Shift and normalize to 1, invert if necessary
distn = (distn - min(distn));
distn = distn/max(distn);
if strcmpi(d... |
function gcd = naivegcd(a, b)
gcd = -1; %if invalid inputs (-ve numbers) then return -1
if (a >= 0) && (b >= 0) && (a + b) > 0 %checking validity of inputs
if a == 0 || b == 0
gcd = max_u(a,b); %checking if one input is 0 return the othe... |
%% Problem Set 1
% CPNS 34231
%% Problem 1: Data visualization
clear all; close all;
% 1.1 Create a raster plot of the data in mtSpikeTimes.mat.
load('mtSpikeTimes.mat');
figure;
subplot(2,2,1);
RasterPlot(mtSpikeTimes,'k');
xlabel('Time (s)');
ylabel('neuron');
title('Raster plot');
subplot(2,2,2);
RasterPlot(mtSp... |
h = kOpenPort();
kSetEncoders(h,0,0)
p1 = [230,50];
p2 = [230,360];
rad = degtorad(90);
avoid_obstacle(h,p1,p2,rad);
|
%genPEscript
% [P, E] = PEInit(1,[10; 10; 0; 0],0,0,1,[60; 80; 1; -2]);
% %Pn,Ppos,Pmeas_std,Pact_std,En,Epos
% save examples/PE100x100_1.mat P E
%
% [P, E] = PEInit(1,[10; 10; 0; 0],0,0,1,[60; 20; 1; 2]);
% %Pn,Ppos,Pmeas_std,Pact_std,En,Epos
% save examples/PE100x100_2.mat P E
%
%
%
% [P, E] = PEInit(1,[5; 5; 0;... |
%This code helps with the eigenvector test (cos? = (???)/????b?). The code
%computes ??? and normalizes it (???)/????B?). The B represents the
%control strategies (Bmatrix).The left eigenvectors(w) is obtained from
%eigfolder (The eigenvalues in this folder were obtained from the
%compute_eigs.m). The eigfolder also... |
function [l, R] = findHpl_inf2( Iloc, P1, P1t, P2, P2t )
%{
removes the perspective distortion from an image at Iloc.
this is also called affine rectification.
we first find the image of the line at infinity (called Hp(l_inf)).
with this, we can calculate the transformation that removes the perspective distortion.
-... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 16833 Robot Localization and Mapping %
% Assignment #2 %
% EKF-SLAM %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear;
close all;
clc;
%==== TEST: Setup uncertainity parameters (try different values!) ===
sig_x = 0.... |
function varargout = imshow6(varargin)
% h = imshow6(x,y,I)
%
% imshow with the version 6 parameter layout
%
% Mercurial revision hash: $Revision$ $Date$
% Copyright (c) 2010, Eric Tytell
v = ver('images');
if (str2num(v.Version) >= 5),
if ((nargin >= 3) && all(cellfun(@isnumeric,varargin(1:3)))),
xd = var... |
function result = draw_line(image, point1, point2)
% function result = draw_line(image, [y1, x1], [y2, x2])
result = draw_line_value(image, point1, point2, 255);
|
% this script was used to take data from compute shape and unroll the
% particle in polar coordinates to get rid of double values functios, but
% it was getting too hard to make that work, so i'll eliminate the fourier
% analysis all together.
function[tj_A, Rj_A] = unrollParticle(mP,X)
y_bar = mP(2);
x_bar... |
function varargout = get(obj,varargin)
if length(varargin) == 0
display(obj);
return; % Nothing more to do
end
% Try to get properties one at a time
getProps = pvget(obj,'getProps');
nProps = length(varargin);
for i = 1:nProps
% Get this prop
propertyName = varargin{i};
if ~ischar(propertyNa... |
% Pricing Asian Call Option with Locally One-Dimensional (LOD) numerical scheme
% Input
s0 = 5;
K = 5;
r = 0.1;
sigma = 0.5;
T = 1;
dt = 0.001;
ds = 0.5;
dI = 0.5;
% Locally One-Dimensional scheme
s_max = 3*s0;
nums = round(s_max/ds);
numt = 2*round(T/dt);
I_T_max = T*s_max;
numI_max = round(I_T_max... |
function [p,tab,chi2,labels] = mediantest(varargin)
% [p,tab,chi2,labels] = mediantest(varargin) performes Mood's median test:
% Mood's Median Test compares the medians of
% two or more groups. The test counts how many observations in each group
% are greater than the global median for all groups together and
% calcul... |
function [ hfig ] = plot_delta_S( self , S )
%PLOT_DELTA_S 画delta~S的图
% ---------------------
% 吴云峰，20160129
% 吴云峰，20160229，构建一个比较新的复原方法
% 吴云峰，20160316，模仿刚哥修改了默认横轴的值， 加画当前点，略改标题
%% 预处理
% TODO: 相关预处理
% 将旧的变量进行保存
copy = self.getCopy();
[ L1, L2 ] = size( copy.optPricers );
%% 画图
% 横轴S默认值域
if ~exist( 'S' , 'var' )
... |
% watermark : _add watermark to figure : watermark(txt,FontSize);
%
% Call
% watermark(txt);
% watermark(txt,FontSize);
% ax=watermark(txt,FontSize,position);
%
function [ax,t_handle]=watermark(txt,FontSize,position);
if nargin<2
FontSize=6;
end
if nargin==0
txt='mGstat';
end
if nargin<3
position=[.6 .0... |
clear all
eclipse_init
% outpath = 'C:\Users\jaker\Pictures\Oregon_Eclipse\code\matlab\out';
% dirname = 'C:\Users\jaker\Pictures\Oregon_Eclipse\16bit\png';
% offsets = load(fullfile(outpath,'offsets.mat'));
% etimes = exposure_times();
% Get the two test images
% for fi = 6:2:15
img_num= 5;
img_nums = [img_num,img_nu... |
clc
clear all
map_definition
start_pt = [17 2]; % the start point
dest = [2 20]; % the destination
plot(start_pt(1),start_pt(2),'r*');
plot(dest(1),dest(2),'g*');
numOfPts = 1; % number of points added to the map.
% these points represent Node objects.
n = input('How many other nodes do you want... |
thisSession = meta(20,:);
ops = io.loadOps(thisSession)
%%
ops.fslow = 3e3;
ops.fshigh = 250;
raw = io.loadRaw(ops, 120*30e3 + [1 30e3*10], true, false);
% raw = raw / max(abs(raw(:)));
if isfield(ops,'fslow')&&ops.fslow<ops.fs/2
[b1, a1] = butter(5, [ops.fshigh/ops.fs,ops.fslow/ops.fs]*2, 'bandpass... |
%**********************************************************************************************
%******************************* BASIC HELPER FUNCTIONS *************************************
%**********************************************************************************************
function mag = Magnitude(V)... |
function optpolicy = getOptPolicy_aPDM_R(params,optpolicy_dir)
%Computes the value function using Bellman's equation for attention-based
%perceptual decision making
% Inputs:
% params: task parameters
% optpolicy_dir: directory where optimal policy is saved, in case this was
% already computed. If not, the function wil... |
%% Blob Detection demo
% This program demonstrates how to use BLOB to detect and filter region.
%
% <https://github.com/opencv/opencv/blob/3.1.0/samples/cpp/detect_blob.cpp>
%
%% Image
img = cv.imread(fullfile(mexopencv.root(),'test','detect_blob.png'), 'Color',true);
img = rot90(img);
%% Detector Parameters
% this i... |
function y = parseTags(x)
% PARSETAGS Get rid of the HTML markup and keep the synapse names
%
% 1Oct2017 - SSP
if ischar(x)
x = {x};
end
validateattributes(x, {'cellstr', 'cell'},{});
y = cell(0,1);
% localNames = cat(2, localNames, regexp(tag, '"\w*\w*"', 'match');
fo... |
function plottingEEGresults(dataEEG,dataEEGNull)
m=20;
xq=-1.7:0.05:1.7;
logRatioInput=[];
logRatioInputNull=[];
fwValue=[];
bwValue=[];
fwValueSS=[];
bwValueSS=[];
binsHist=3:20;
for ss=1:size(dataEEG,2) %here we combine all the sbj in one vector
logRatioInput=[logRatioInput dataEEG(ss).logRatio];
... |
[t,y]=ode23(@ex5_dydt, [0 4], 0.5) ;
options=odeset('RelTol', 1e-4) ;
[t,y]=ode23(@ex5_dydt, [0,4], 0.5, options) ; %PB: je sais pas quoi mettre comme nom
%d'axes !!!!!! ET je sais pas expliquer en détails !!
stem(t,y) |
function [cv, cr]=doe(lb,ub,active)
%
% Matlab-based Design of Experiments
%
% This routine will generate the candidate values and the candidate responses
% for a full qradratic Koshal design with postive interactions
%
% doe type flag
doe_type_flag=0; % 0=> Koshal design, 1=> alternative design
% set flag for vdoc_... |
%% Stelling 21
%
% Je kunt een numerieke vector (met een lengte groter dan 0)
% altijd plotten in Matlab.
%
Antwoord = 1;
|
load Mastermind % Loads Board (10x8 cell array), eight color blocks (red, green, blue, yellow, purple, pink, orange, turquoise), a white peg block and a black peg block.
imshow([Board{1,:};Board{2,:};Board{3,:};Board{4,:};Board{5,:};Board{6,:};Board{7,:};Board{8,:};Board{9,:};Board{10,:}]) % Show all 10 rows and 8 c... |
function transform3d(T, mode)
% Coordinate frame transformation animation
switch mode
case 0
trplot(T)
case 1
for i=1:length(T)
trplot(T(i))
end
end
end
|
function pedigree_loader(pedigree_filename,outputfile)
%% CONSTANTS
CHILD = 1;
FATHER = 2;
MOTHER = 3;
ORIGIN_PNUM = 4;
RAISED_PNUM = 5;
YEAR = 6;
RECRUITED = 7;
NESTBOX = 8;
%% FILE LOADER
fid = fopen(pedigree_filename);
raw_data = textscan(fid,'%s');
fclose(fid);
N = length(raw_data{1});
%% initialize containers
b... |
function mtlsimplesf(infile, outfile, new_sampling_rate)
% function mtlsf(infile, outfile, new_sampling_rate)
[file_type,info_blocks,n_channels,n_lines, sampling_rate,...
first_line,last_line,n_directions,comment1, comment2] = mtlrh(infile)
if (file_type ~= 2) error('Wrong filetype'); return; end;
fac... |
function shapes = sobel_operator(img)
% use the sobel-operator on the raw depth image
% this function returns a matrix of the same size as the original
% matrix with on every position the gradiŽnt
X = img;
Gx = [1 +2 +1; 0 0 0; -1 -2 -1]; Gy = Gx';
temp_x = conv2(X, Gx, 'same');
temp_y = co... |
clear; clc; close all;
%
% Consider n coupled second order dynamics
% d^2 xi/dt^2 = -gamma dxi/dt + SUM_j A(i,j) * (x(j)-x(i)) + Pi;
%
% To use ode45, we convert the n second order equations 2n first order equations
%coupling=full(BAgraph(100));
% Create a (random) matrix
[coupling,P]=getNetwork('network1');
% Di... |
% script for homework one
% created by Jesse Jurman
% load and show the orange flower image
flower = imread('OrangeFlower.jpg');
figure, imshow(flower), title('Orange Flower')
% assign the green pixel plane
greenData = flower(:,:,2);
figure, imshow(greenData), title('Orange Flower Green Pixel Data')
% assign rows 16... |
% Connect to bot
Pb = PiBot('172.19.232.173', '172.19.232.11', 32);
% Get Image
image = getLocalizerImage(Pb);
% make occupancy grid
normImage = double(image) / 255;
biColour = (normImage > 0.04) - (normImage > 0.2); %0.25 ->
biColourClean = bwareaopen(biColour, 1000);
occupancyGrid = imresize(biColourClean, 1/5);
id... |
%% SEL_compute_map_instrument_scores.m
% This function evaluates for each instrument, 4 different architectures:
% a single satellite carrying one copy, and then constellations carrying 2,
% 3, and 4 copies in different planes.
% Assume params structure has been created
% Clear expl facility
clear explanation_facility... |
function irg = gtsirg(sp)
%最後の方のデータは切り捨て
l = length(sp);
irg = zeros(1,l)';
for i = 1:l
irg(i) = mirgetdata(mirregularity(sp{i}));
end
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function [points2] = transformPoints(points, dx, dy, scaling, rotation)
% purpose : Rotate, translate and scale the given points.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function [e] = test11(cleanup, level)
%TEST11 Filter tests
% Thomas Ruark, 5/10/2006
% Copyright 2006 Adobe Systems, Inc.
[a,b,c,d] = psconfig('pixels', 'pixels', 100, 'no');
psnewdoc(512, 512);
% top left is gray
x = uint8(ones(256,256,3)) * 127;
pssetpixels(x, 'undefined', 0, 0, 256, 256);
% top right is ra... |
clear all; warning off; clc;
load myWiki;
bit = 64; % the number of hash bits
%% precessing
if size(L_tr,2) == 1
S = zeros(size(L_tr,1),max(L_tr));
for i = 1:max(L_tr)
ind = find(L_tr==i);
S(ind,i) = 1;
end
else
L_tr(L_tr <= 0) = 0;
L_tr(L_tr > 0) = 1;
% %normalize t... |
clear;
close all;
clc;
%% MLC Lab
%% Quanser Aero Helicopter control
quanser_aero_parameters;
quanser_aero_state_space;
s = tf('s');
Gunc = ss(A,B,C,D);
Gnom = tf(Gunc);
%% MIMO Poles and zeroes
z = tzero(minreal(Gnom));
p = eig(minreal(Gnom));
fprintf('Poles of the nominal system are:\n');
disp(p);
fprintf('Zeros of... |
function [] = GenVarSequence_1 (path, ReqNr)
% Sync. the partitioned variants using stateflow
% for each set of generated variants a control part should be added
%
% design outside connection
add_block('Simulink/Ports & Subsystems/Subsystem',[path sprintf('/TestDataVariants Sequence')]);
iTestC = [path sprintf('/Tes... |
global glv
glv.Re = 6378160; %地球半径
glv.f = 1/298.3; %地球扁率
glv.e = sqrt(2*glv.f-glv.f^2); glv.e2 = glv.e^2; %地球椭圆度等其它几何参数
glv.Rp = (1-glv.f)*glv.Re;
glv.ep = sqrt(glv.Re^2+glv.Rp^2)/glv.Rp; glv.ep2 = glv.ep^2;
glv.wie = 7.2921151467e-5; %地球自转角速率
glv.g0 = 9.7803267714; %重力加速度
glv.mg = 1.0e-3*glv.g0; %毫重力加速度
glv.ug = 1.0e... |
clear;
clc;
communityExample;
graphPlot = plot(graph(adjacencyMatrix));
% highlight(graphPlot, 1:5, 'NodeColor', 'g');
[Q, grouping] = Split(adjacencyMatrix);
sprintf('%0.6f',Q)
elementsA = find(grouping == -1);
elementsB = find(grouping == 1);
[Q, groupingA] = SubSplit(adjacencyMatrix, elementsA);
% [Q, grouping... |
function draw_ellipsoids_3d(P,Ell,Ell_AA,exp_comp,palette_label)
palette_size = length(palette_label);
tuples = gen_tuples(1:palette_size-1,3);
for i = 1:size(tuples,1)
% PROJECTION BASIS
idx_1 = tuples(i,1);
idx_2 = tuples(i,2);
idx_3 = tuples(i,3);
% ORTHOGONAL MATRIX
basis = zeros(palette_size-1,3);
basis(idx_1,... |
function mtl2mat(file)
% MTL2MAT converts mtl2 file to matfile
% mtl2mat(file) file is name of mtlfile without extension .mtl
% The matlab-file will be file.mat
% written by Klaus Hartung
% Lehrstuhl fuer allgemeine Elektrotechnik und Akustik
% Ruhr-Universitaet Bochum
%
% Date 26.09.1995
filename=[fi... |
%% Proyecto LTDS
%% Cargar imagen y dividir en planos
% Cargamos imagen RGB
Img = imread('blanco_negro2.png');
% Creamos tres variables cada una con un color R, G y B
ImgR = Img(:,:,1);
ImgG = Img(:,:,2);
ImgB = Img(:,:,3);
% Guardamos tamaño y número planos de colores
[m n p] = size(Img);
%% Transformada directa,... |
function rot_elenum = find_rot_elenum(rot_mid, xmax, ymax, edgex, edgey, xelenum)
xx = rot_mid(1,1);
yy = rot_mid(2,1);
if xx > xmax
xx = xmax - 0.001;
end
if xx < 0
xx = 0.001;
end
if yy > ymax
yy = ymax - 0.001;
end
if yy < 0
yy = 0.001;
end
xnum = floor(xx/edgex) + 1;
ynum = flo... |
clear;clc;
%//////////////////////////////////////////////////////////////////////
directory = 'R:\funded_projects\Grytz-R01EY026588-Scleral_remodeling_in_myopia\organ_culture\';
prompt_exp_number = 'Enter the exp number for this experiment: ';
exp_number = input(prompt_exp_number);
prompt_brx_number = 'Enter the brx n... |
%{
Test Functions for rn.
power_flow_f looks good.
rn this is scrap to see if I can start figuring this out.
%}
clear all;
import const.*
a = 10;
b = 4;
testCase = 'case14';
h = 0.001; %Step Size
%Graph size
x0=10;
y0=10;
width=550;
height=400;
%read in Index values as paramiters
idx = idxVal;
%Initializ... |
function anMocap(wsMoc)
% Animate motion capture sequence.
%
% Input
% wsMoc - mocap data
%
% History
% create - Feng Zhou (zhfe99@gmail.com), 09-02-2010
% modify - Feng Zhou (zhfe99@gmail.com), 08-30-2014
prIn('anMocap');
% mocap
[skel, QC, Conn] = stFld(wsMoc, 'skel', 'QC', 'Conn');
nF = size(QC, 3);
... |
function processIncoming(src, ~)
inStr = readline(src);
fprintf('\n-> %s', inStr);
end
|
%% Compute the PSNR for all restored vs original figures
clear all
close all
clc
fileDir = fileparts(mfilename('fullpath'));
cd([fileDir,'\..\'])
Folder = fullfile([fileDir, '/../']);
addpath(Folder);
%% Barbara
barbara_o = imread('Good_images/barbara.png');
cd([fileDir,'\..\Results'])
Folder = fullfile(... |
function [shift1 shift2]=driftcorrection_core2D(im1,im2,iniguess)
corrim=imgaussfilt(single(normxcorr2(im1,im2)),1); %old 1
if nargin>=3
shift_col=iniguess(2);
shift_row=iniguess(1);
rowval=shift_row+(size(corrim,1)+1)./2;
colval=shift_col+(size(corrim,2)+1)./2;
cropsz2=24;
ori=[colval-cro... |
function [actstates,hmm,Gamma,Xi] = getactivestates(hmm,Gamma,Xi)
%ndim = size(X,2);
K = hmm.K;
orders = formorders(hmm.train.order,hmm.train.orderoffset,hmm.train.timelag,hmm.train.exptimelag);
if isfield(hmm.state(1),'Omega'),
ndim = size(hmm.state(1).Omega.Gam_rate,2);
else
ndim = size(hmm.state(1).W.Mu_W,... |
% Convert an edge list of a general graph to the edge list of a simple
% graph (no loops, no double edges) - great for quick data clean up
% INPUTS: edgelist (mx3), m - number of edges
% OUTPUTs: edge list of the corresponding simple graph
% Note: Assumes all node pairs [n1,n2,x] occur once; if else see add_edge_weigh... |
% Abstract class for black-box optimisers
%
% Author : Darwin LAU
% Created : 2016
% Description :
classdef (Abstract) BBOptimiserBase < handle
properties
numVars % Number of variables for x
objectiveFn % Objective function for black box optimiser
end
m... |
function [ToA] = find_start_frame(r, blockSize, CPsize)
% FIND_START_FRAME finds the index of the beginning of a frame
% contained in signal r by computing a block based auto-correlattion
% and applying a moving average on it (with r being a stationnary signal)
% - r is the received signal (corrupted by noise)
% - bl... |
classdef ProjHmNewton < handle
properties
x
t
CageX
CageT
newCageCoef
edgeInfo
p2p_weight
smooth_weight
pre_numPoint_constraints
numPoint_constraints
original_var
variable
isometric_sample_points
lip... |
clc; clear all;
%%% Simulating a particle moving in a plane using Kalman filter estimate
%%% INPUTS
%dur - duration of simulation in secs
%dt - Time step in secs
%sigma_acc - SD of acceleration ms-2
%sigma_gps - SD of GPS measurement m
dur = 10;
dt = 0.1;
sigma_acc = 0.5;
sigma_dis = 2;
%System Model
A = [1 dt 0 0; 0 ... |
function x = gaussExCal(A,b)
%GAUSSEXCAL 高斯列主元消元法求线性方程组
% 输入：A b线性方程组系数和值
% 输出：x 求解结果
num = numel(b);
x = zeros(numel(b),1);
Ab = [A,b];
for j = 1 : num-1
temp = max(abs(A(j:end,j)));
if temp == 0
error('矩阵非奇异');
end
[posi1,~] = (find(abs(A(j:end,j)) == temp));
temp = Ab(posi1(1)+j-1,:);... |
function makeOdorTrial()
trial_duration_s=6+3+6; % total duration of the trial
odor_on_s=[6 9]; % odor start/stop time
odorId='odor_A'; % string - 'odor_A' or 'odor_B'
dbstop if error
ephysSettings
% Create empty traces
zeroCommand=zeros(1,settings.sampRate*trial_duration_s,1);
A_valve_command=zeroCommand;
B_valve... |
function [dzdx, dzdb] = vl_nnST_der(x,b,dzdy)
%VL_NNRELU CNN Soft thresholding, backward pass.
%
% [DZDX,DZDB] = VL_NNST(X, B, DZDY) computes the derivative of the block
% projected onto DZDY. DZDX and DZDY have the same dimensions as
% X and Y respectively.
%
bb = repmat(permute(b,[2,3,1]),size(x,1),size(x,2),1,... |
function [p,Valore,od_dep_media]=AssegnazionePriorita(od_dep_pv,od_pv_dep,od_pv_pv,n_ordini,peso,maxcap,ordini,esponente,ELLISSE,beta,preferenza_pv_pv,DISTANZA_MAX_PVPV)
p=zeros(n_ordini,1);
od_dep_media=(od_dep_pv+ od_pv_dep);
for i=1:n_ordini
for j=1:n_ordini
% normalizzo la coppia per la quantità ma... |
function [ activated_sources ] = define_activated_source_space( Quads , source_nb , subjId )
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Function to determine which sources are supposed to be activated
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
% function[C_table] = ContingencyTable(A,B)
% This code calculates the Contingency Table for calculating the Rand
% Indices
% A = input cluster number 1
% B = Input cluster number 2
% Date 24 March 2013(Hemanta Medhi)
function[C_table] = ContingencyTable(A,B)
C_table = zeros(length(A),length(B));
for i =1:length(A)
... |
%% Reachable set over-approximation based on sensitivity bounds of a continuous-time system
% The sensitivities represent the matrices of partial derivatives of the
% finite-time successors of the system with respect to either the initial
% state or the input (assumed constant over the considered time range).
% For eac... |
% INVESTIGATEGROUNDROUGHNESS Investigate different approaches of testing
% ground roughness.
%
% Yaguang Zhang, Purdue, 11/21/2019
clear; clc; close all; dbstop if error;
% Locate the Matlab workspace and save the current filename.
cd(fileparts(mfilename('fullpath'))); cd('..'); addpath('lib');
curFileName = mfilenam... |
% load 064_0004_norm_16.mat;
% load C_1-16-10.mat;
% load feature/C-2.mat
dd = zeros(length(test_f), 1);
orl = zeros(224, 224);
for i = 1: length(test_f)
dt = pdist2(double(test_f(i, :)), CC{1});
dd(i, 1) = find(dt == min(dt));
end
[w, h] = size(orl);
dd_tag = 1;
for wi =1 : 8 : w
for hi = 1 : 8 : h
... |
clear all; close all; clc
odir = 'C:\Users\Tobias Hauser\Desktop\BEN\2017_05_25\';
structMRI = [odir 'sMP01857-0013-00001-000224-01_T1w.nii'];
functMRI = [odir 'fMP01859-0006-00001-000001-01.nii'];
ROI = [odir 'SNVTA_MP01857.nii'];
options.out_fname = 'SNVTA_MP01857.roi';
ROI2TBV(structMRI,functMRI,ROI,options) |
function pGlobal = trans(pOrigin,pBody)
%pOrigin - Location of body-fixed frame origin in global frame and angles from body
% fixed frame axes to corresponding global axes using 123 Euler angles [x y z al be ga]
%pBody - Location of point on body in body-fixed frame [x1 y1 z1]
%pGlobal - Location of point on ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.