text stringlengths 8 6.12M |
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function f = plot_sim(cfg,params_chain,energy_chain,sim_handle,step,true_param,t,lg)
%%
f = figure;
ub = find(energy_chain(1,:)==0,1)-1; % find end point of energy chain
if isempty(ub)
ub = cfg.nswaps;
end
if step == 0
step = 1000;
end
for i = cfg.adapt_last:step:ub
i... |
function [result] = ZDT42(x)
%ZDT42
gx = g(x);
result = gx*(1-sqrt(x(1)/gx));
end
function result = g(x)
N = length(x);
result = 1+10*(N-1)+sum(x(2:N).^2 - 10*cos(4*pi*x(2:N)));
end |
function [speedup dsize ksize] = testcudaconv()
%TESTCUDACONV Benchmarks GPU vs CPU convolution.
% [SPEEDUP DSIZE KSIZE] = TESTCUDACONV() runs 2-D
% convolutions on random data using both CONV2 and CUDACONV.
%
% SPEEDUP contains the relative speed of CONV2 and CUDACONV.
% Thus if SPEEDUP(i,j) = 10, CUDACONV co... |
%ejercicio 1 RLC parte simbolica
clc;clear all;
syms R L C i vc vin ip vcp
ip =(1/L)*vin-(1/L)*vc-(R/L)*i
vcp = 1/C * i
A = [[diff(ip,i) diff(ip,vc)]
[diff(vcp,i) 0 ]];
B = [[diff(vcp,i)]
[0]];
pretty(simplify(A))
pretty(simplify(B))
%% ejercicio 1 RLC simulaciones
clc;clear all;
%nota para el At en... |
maxPrimes = [0,0,0];
for a = -999:999
for b = -1000:1000
n = 0;
while n^2+a*n+b >= 0 && isprime(n^2+a*n+b)
n = n+1;
if n > maxPrimes(1)
maxPrimes(1:3) = [n,a,b];
end
end
end
end
disp(maxPrimes(2)*maxPrimes(3)) |
% Cluster Fix algorithm for Ephiz Recordings
% Seth König, January, 2015
% Runs the same as previous versions of Cluster Fix, but sets eye data
% points outside of desired boundaries (i.e. outside of the image) to NaNs.
% Code here is generically organized since everyone may have slightly
% different ways of organizin... |
% Quadratic equation function
% determines coefficients of ax^2 + bx + c
% input x,y arrays
% by: Dr. Sherif Omran
%
%
function [a,b,c]=Quadratic(x,y)
p1=x(2)-x(3);
p2=x(3)-x(1);
p3=x(1)-x(2);
p4=x(3)^2-x(2)^2;
p5=x(1)^2-x(3)^2;
p6=x(2)^2-x(1)^2;
p7=x(2)^2*x(3)-x(2)*x(3)^2;
p8=x(1)*x(3)^2-x(1)^2*x(3)... |
% There is a frame with tao_max time slots
% Packet arrives on the first time slot in a frame with some probability
% No packet arrives in the middle of the frame
% Whatever packet arrives at the beginning of the frame, has to be scheduled
% by the end of the frame
clc;
clear all;
close all;
T= 10^5;
% lam... |
% verifyGrid validate Signal grid and check direction/uniformity
%
% This method verifies that the Grid array increases or decreases
% monotonically. Increasing grids are labelled with a GridDirection of
% "normal", while decreasing grids are labelled as "reverse". The average
% grid spacing is also determined; if th... |
%script v0600
while 1
if (x(k)==si)|(v==1)
break
end
xk1=x(k)+1; yk1=y(k);
if I(xk1,yk1)
break
end
xk2=xk1;yk2=yk1+1;
tr=1;
if yk1<sj
tr=(I(xk2,yk2)>0);
end
if tr
per=per+1+I(xk1,yk1-1);
pr=pr+1;
if xk1==si
per=per+1;
else
per=per+I(xk1+1,... |
function H=H_Ja(x)
[num,~] = size(x);
UN = x(4-3,:); UE = x(5-3,:); UD = x(6-3,:);
phi = x(7-3,:); theta = x(8-3,:); psi = x(9-3,:);
if num == 15 || num == 12
la_x = x(10-3,:); la_y = x(11-3,:); la_z = x(12-3,:);
la_p = x(13-3,:); la_q = x(14-3,:); la_r = x(15-3,:);
% uwind = x(13,:);vwind ... |
% y :: [D_A, D_R, Dp_A, Dp_R, M_A, M_R, A, R, C]
% dy :: dy/dt
function dy = CO_ODE(t, y, p)
dy = zeros(9, 1);
dy(1) = p.theta_A * y(3) - p.gamma_A * y(1) * y(7);
dy(2) = p.theta_R * y(4) - p.gamma_R * y(2) * y(7);
dy(3) = p.gamma_A * y(1) * y(7) - p.theta_A * y(3);
dy(4) = p.gamma_R * y(2) *... |
function patchCorrCov = fdr(patchCorrCov,p,alpha)
%alpha=0.01; %this is the FDR level
m=size(patchCorrCov,1)*size(patchCorrCov,2)*size(patchCorrCov,3);
c=sum(1./(1:m));
pCurrent = p(:,:,:);
patchCorrCovCurrent = patchCorrCov(:,:,:);
[pCurrentSorted,pCurrentSortIds] = sort(pCurrent(:));
tmp=c*m*pCurrentSorted... |
clear; clc
ktype = 'laplace';
p = 5;
ell = 1;
sigma = 1;
T = rand(1)*2 - 1;
tt = 1500;
T = [-1:2/tt:1]';
tt = length(T);
n = 15;
avg = @(x) zeros(size(x));
avg = @(x) x.^2;
switch ktype
case 'gaussian'
d = repmat(T .^ 2, 1, tt);
D = d + d' - 2*(T*T');
kappa = exp(-D/sigma) / ell;
... |
%{
Runge-Kutta-Felhberg Method
10/9/1017 Jake Tully
This Script is an example of the Runge-Kutta-Felhberg Method
& Runge-Kutta 4th Order
%}
clear
clc
close all
%/////////////////////////////////////////////////////////////////////////
% Runge-Kutta- 4th-Order
f1 = @(y) 1 +y^2; % function 1
f2 ... |
% This is the disease model for Project 3 in MAT 306 Mathematical Modeling
% This program generates graphs detailing the results of viral outbreaks
% in institutions. Graphs are generated for different simulations
% The program is currently optimized for swine flu, but can be easily
% re-written. Note that thi... |
function y = simpson(f,a,b,n)
%SIMPSON Simpson's rule integration with equally spaced points
%
% y=SIMPSON(f,a,b,n) returns the Simpson's rule approximation to
% the integral of f(x) over the interval [a,b] using n+1 equally
% spaced points. The input variable f is a string containing the
% name of a functio... |
function [trainset, member_dict] = number_data(dataset_cell)
trainset = zeros(size(dataset_cell));
member_id = 1;
member_map = containers.Map();
unique_members = unique(dataset_cell(:,1));
for k = 1:length(unique_members)
member_map(unique_members{k}) = member_id;
member_dict{k,1} = unique_members{k};
memb... |
% MODI - Projekt 2 - Zadanie 36
% Autor: Jakub Sikora
% Skrypt wykonuje zadanie 2, podpunkt d, wyrazy mieszane
% Przed rozpoczęciem należy uruchomić skrypt zad_d.m
err_ucz_arx = zeros(2,1);
err_ucz_oe = zeros(2,1);
err_wer_arx = zeros(2,1);
err_wer_oe = zeros(2,1);
P = 2000;
na = 2;
nb = 2;
deg = 2;
for na=2:7
nb... |
function varargout = plot_directed_edges(V,E,varargin)
% PLOT_DIRECTED_EDGES Plot direct edges using quiver
%
% p = plot_directed_edges(V,E)
% p = plot_directed_edges(V,E,LINESPEC,...)
%
% Inputs:
% V #V by dim list of edge vertiecs
% E #E by 2 list of edges
% Outputs:
% p plot handle
%
... |
function [Theta0,Re0] = lme_mass_fit_EMinit(X,Zcols,Y,ni,maskvtx,nit,prs)
% [Theta0,Re0] = lme_mass_fit_EMinit(X,Zcols,Y,ni,maskvtx,nit,prs)
%
% Starting values at each location for the linear mixed-effects iterative
% estimation. These starting values are based on the ordinary least squares
% estimators plus some fa... |
function trajectoryGlobal=ConvertTrajectoryToGlobal( trajectory, ...
theta0, x0, v0, a0, jj0)
time = trajectory.time;
x = trajectory.x;
v = trajectory.v;
a = trajectory.a;
jj = trajectory.jj;
kappa = trajectory.kappa;
tr=[cos(theta0) -sin(theta0); sin(theta0) cos(t... |
function [flame,vox] = displaysinglecore(core,normm,norms,dens,max,unifo)
flame.cores{1} = core;
flame.normm{1} = normm;
flame.norms{1} = norms;
flame.scale{1} = dens;
flame.maxim{1} = max;
flame.unifo{1} = unifo;
vox = displaysingleflame(flame);
end |
function [Im Io Ix Iy] = myEdgeFilter(img, sigma)
hsize = [3 3];
if(ischar(img))
img = imread(img);
end
if(size(img,3)==3)
img = rgb2gray(img);
end
image = im2double(img);
%image = im2double(imread(img));
gx=[-1 0 1;-2 0 2;-1 0 1];
gy=[1 2 1;0 0 0;-1 -2 -1];
h = fspecial('gaussian', hsize, sigma);
smoothImag... |
function size_sp = ChooseSubplotSize(prn_all)
% created in 11/24/2019 by LIU
switch length(prn_all)
case num2cell(1,2)
size_sp = [1,length(prn_all)];
case num2cell(3,4)
size_sp = [2,2];
case num2cell([5,6])
size_sp = [2,3];
case num2cell([... |
global G path T p
G = [
0 300 360 210 590 475 500 690
300 0 380 270 230 285 200 390
360 380 0 510 230 765 580 770
210 270 510 0 470 265 450 640
590 230 230 470 0 515 260 450
475 285 765 265 515 0 460 650
500 200 580 450 260 460 0 190
690 390 760 640 450 650 190 0
]/(100/3); % 邻接矩阵(行走... |
function [ mapPoints ] = TPSMapping( points, TPSCoe, keyPoints )
%UNTITLED10 Summary of this function goes here
% Detailed explanation goes here
numPoints = size(points, 1);
numKeyPoints = size(keyPoints, 1);
tempPoints = reshape(points, [], 1, 2);
tempPoints = repmat(tempPoints, 1, numKeyPoints, 1);
tempKeyPoints =... |
function R = Compute_R(I_MAX,J_MAX,D,FGS)
R = zeros(I_MAX-1,J_MAX-1,4);
for ii = 1:I_MAX-1
for jj=1:J_MAX-1
R(ii,jj,1) = sum(FGS(ii,jj,:,1))-D(ii,jj,1);
R(ii,jj,2) = sum(FGS(ii,jj,:,2))-D(ii,jj,2);
R(ii,jj,3) = sum(FGS(ii,jj,:,3))-D(ii,jj,3);
R(ii,jj,... |
function [ curr_ind ] = getindices(xValues, yValues, curr_loc)
%UNTITLED8 Summary of this function goes here
% Detailed explanation goes here
%
% curr_ind = [0 0];
% curr_loc = round(curr_loc, 3);
% for i=1:size(grids,1)
% for j=1:size(grids,2)
% if abs(grids{i,j}.xLoc - curr_loc(1)) <= 0.05 && abs(grid... |
close all; clearvars; clc;
board = imread('plansza.bmp');
filter3 = fspecial('average', 3);
convulsed = uint8(conv2(board, filter3, 'same'));
figure(1);
subplot(1,3,1);
imshow(board);
title('Obraz originalny');
subplot(1,3,2);
imshow(convulsed);
title('Obraz skonwolutowany');
subplot(1,3,3);
absdiff = imabsdiff(boa... |
clc; clear all;
inputObj = VideoReader('../SAM_0562.MP4');
nFrames = inputObj.NumberOfFrames;
T = 255;
t = 10;
fr = rgb2gray(read(inputObj,1));
[sy,sx] = size(fr);
MHI = cell(1,nFrames);
MHI{1} = fr.* 0;
for i=2:(nFrames-1)
I = rgb2gray(read(inputObj,i));
Ib = im2bw(I);
for y = 1:sy
for x = 1:sx
... |
% Load signature for simulation scenarios
% Enter 1 for Reflectance signature; 2 for Radiance signature
% ImageCub1 for Scenario 1
% ImageCub2 for Scenario 2
% ImageCub3 for Scenario 3
% ImageCub4 for Scenario 4
% ImageCub5 for Scenario 5
% ImageCub6 for Scenario 6
function [TI1, TI2, TI3, TE1, TE2, TE3, M, GTm... |
% File: Example2_13.m for Example 2-13
% Plot a Fourier series for square wave.
% This file demonstrates the Fourier Series representation of a
% 50% duty cycle square wave. That is To=2T.
clear;
% Time is evaluated (i.e. the waveform is plotted) over the time
% interval [0,10] in increments of t_inc.
% If you w... |
function test_distance_point_to_line
epsilon=0.1;
% Point on line
d = distance_point_to_line([2.1,2], [0,0], [1,1]);
assert(almostequal(d,0,epsilon), ...
'Point on radial line is giving non-zero distance');
d = distance_point_to_line([2,-1.1], [0,1], [1,0]);
assert(almostequal(d,0,epsil... |
%% CLASS HEADER INFORMATION
%By: QuocBao Vu
%Created: Dec. 17, 2012
%Updated: Dec. 17, 2012
%Version: 3
%
%This is the controller class for the DicomViewer. It handles all the
%actions done by the user to the control and updates the model and view
%depending on the button that was pressed.
%% CLASS DEFINITION
classdef... |
function Doublefoci3D_wMASK(IM,Impath,Imfile,Imregion,Imf,analysis,thresh,MaskCrop,rect,rot,Zstack)
Imreg = [Imregion,'_TempSubimage'];
MaskCrop = uint8(MaskCrop);
[Iheight,Iwidth] = size(MaskCrop);
SizeofMask = size(find(MaskCrop>0),1)*64;
ROIinUM = SizeofMask*0.0529;
xstep = 1000;
ystep = 1000;
xrange =... |
function [At] = Transp(A)
%Transp determine transposition at A matrix
A_size = size(A);
At = zeros(A_size(2),A_size(1));
for i=1:A_size(1)
At(:,i) = A(i,:);
end
for j=1:A_size(2)
At(j,:) = A(:,j);
end
end
|
%% djicf-trajectories.m
clear all;
format long;
close all; % close opened figures
% Axes
alw = 1.0; % AxesLineWidth
set(0,'DefaultAxesFontSize',18);
set(0,'DefaultAxesLineWidth',alw);
set(0,'DefaultAxesFontUnits','points');
set(0,'DefaultAxesGridLineStyle',':');
set(0,'Defaul... |
function y = sigm(x)
y = sigmf(x, [1 0]);
end |
load('Parameters/sub1/ParWBa')
plot(P(:,1),'o')
hold on;
plot(P(:,2),'o')
hold on;
plot(P(:,3),'o')
legend('bk0','b100','b200')
b= [0;100;200];
plot(b,P(1,:))
|
% Remove NN diretory paths if they still exist
CleanUp2D;
close all
clear all
clc
model = 'Advection';
AdvectionVelocity = [1,1]; % Used for linear advection only
test_name = 'Smooth';
InitialCond = @IC;
BC_cond = {100001,'P'; 100002,'P'; 100003,'P'; 100004,'P'};
FinalTime ... |
%% SET UP %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Clear the workspace and the command window
clear;
clc;
ClockRandSeed;
% All of the scripts utilized herein are added to MATLAB path
cur_dir = pwd;
addpath(genpath([pwd '/CodeLibrary_ET']));
% Color wheel load
load('colorwheel360.mat', '... |
function [A] = UDistMatrix(m, n)
A = (rand(m, n) - 0.5) * 8 * sqrt(6 / (m + n));
end
|
function SpecDomainData= calculate_2D_fouriertrafo(PC_TimeDomainData,tau_vector,T_vector,t_vector)
SpecDomainData=zeros(length(tau_vector),length(T_vector),length(t_vector));
for ii=1:length(T_vector)
SpecDomainData(:,ii,:) = fftshift(fft2(squeeze(PC_TimeDomainData(:,ii,:)),length(tau_vector),length(t_vector)));
end |
% to find a parabolic curve
clear all;
clc;
close all;
x = [1.5 3 4.5 6 8 10.5];
y = [9 28 50 90 140 250];
n = length(x);
for i=1:length(x)
plot(x(i),y(i),'o');
hold on
end
sx = sum(x);
sx2 = sum(x.^2);
sx3 = sum(x.^3);
sx4 = sum(x.^4);
sy = sum(y);
sxy = sum(x.*y);
sx2y = sum(x.^2.*y);
A = [n... |
function f = iFGG_1d_type2(F,knots,accuracy)
%Description:
%This code implements the "accelerated" Gaussian-gridding-based NUFFT
%described in Greengard and Lee [1]. The gridding approach is very similar
%to previous work by Nguyen and Liu [2]; the only difference is the use of
%a different convolution kernel ([1... |
%简单main函数，用来测试基本的协同过程
tic
nr_of_iterations=1000; %循环次数
SNR=[-13:2.5:12];%dB形式
use_direct_link=1;%直接传输
use_relay=1;%通过伙伴传输
global statistic;
%statistic = generate_statistic_structure;
global signal;%发送信号的全局变量
signal=generate_signal_structure;%发送信号结构体，包括传输比特数、传输字符数、每个字符包含的比特数、信号的调制方式、发送信号的比特序列、
... |
function [FinalFit,PeakLocations,PeakWidths,Amplitude]=FitNPeaks(x,y,locationGuess,widthGuess)
%location here is the index, but it returns the actual location
location=locationGuess(:);
width=widthGuess(:);
[location, SortIndex] = sort(location);
width=width(SortIndex);
FinalFit=x*0;
PeakLocations=[];
PeakWid... |
function A = tridiag(l,d,u,n)
A = l*diag(ones(1,n-1),-1) + d*diag(ones(1,n)) + u*diag(ones(1,n-1),1);
end |
%% script start
close all;
clear;
addpath('functions');
addpath('controls');
addpath('plants');
data.A1 = 505;
data.a1 = 22;
data.a2 = 16;
data.C2 = 0.65;
data.Fd = 13;
data.F10 = 80;
data.h20 = 33.7852;
n = 5;
rng = 0.5;
[A_TS_U, B_TS_U, X0_TS_U, U0_TS_U, range_TS_U] = linAB_TS_U(data, n, rng);
[A_TS_X, B_TS_X, X0... |
function [v_i,v_f] = lambert_problem(r_i,r_f,delta_t)
% P_i and P_f are identified by r_i and r_f
% This script computes the time of fligth between P_i and P_f;
norm_r_i = norm(r_i);
norm_r_f = norm(r_f);
delta_theta = asin(dot(r_i,r_f)/(norm_r_i*norm_r_f));
c = sqrt(norm_r_i^2 + norm_r_f^2 - 2*norm_r_i*norm_r_f*cos(... |
function [optTheta, cost, exitflag, output, state] = minFuncGrad( fhandle, theta, options, lastState )
%MINFUNCRMSPROP Summary of this function goes here
% fhandle is a function with two arguments: 1. theta, 2. patches
learnRate = options.learnrate;
if nargin<4 || isempty(lastSta... |
function [x, y_evals, stopflag, varargout] = opt_xacmes(FUN, DIM, ftarget, maxfunevals, id, varargin)
% minimizes FUN in DIM dimensions by multistarts of fminsearch.
% ftarget and maxfunevals are additional external termination conditions,
% where at most 2 * maxfunevals function evaluations are conducted.
% fminsearch... |
function rr = deg2rad(dd)
%
% replacement for matlab deg2rad
rr = pi * dd / 180;
|
function [errelFitDLS,errelFitNN,errabsFitDLS,errabsFitNN]=estimateErrFitDLSVsNN(d,dFitDLS,dFitNN,typeG,dispMode)
%-------------------------------------------------------------------------------
% Version 20171223, Silviu Rei
% function
% The function
% Input:
% Output:
% Example:
%
%-------------------------------... |
% INPUT:1.Qt%the flow rate in the tubing sections l/min
%2.Nt the number of the tubing section, Nt should always = length(L)
% OUTPUT: Ut the average velocity in each tubing section(m/s)
function Ut=Ut_c(Qt,area_aver,Nt)
for i=1:Nt
Ut(i)=Qt(i)*0.001/60/area_aver(i);%average velocity in each tubing secti... |
function [efn]=efficency(act,meas)
efn = abs(meas - act)./abs(act).*100;
end |
function [P,F] = eliteStrategy(newpop,newfitvalue,pop, fitvalue)
% 精英策略，两规模为N的种群合并，筛选出规模为N精英种群
N = size(pop,1);
total_pop = [ newpop; pop];
total_fitvalue = [ newfitvalue; fitvalue];
X = total_fitvalue;
X = sort(X);
threshold = X(N);
P = total_pop(total_fitvalue>=threshol... |
function [Costs] = targetViolationCostFcn(Outputs, States, Controls, Parameters) %#codegen
% cost function interface created by falcon.m
% Extract outputs
% FDAD_x = outputs(1);
% FDAD_y = outputs(2);
% FDAD_z = outputs(3);
% Extract states
% x = states(1);
% ... |
function [VV,TT,FF,TN,IFF] = cdt(varargin)
% CDT compute the constrained delaunay triangulation of a given mesh using
% tetgen.
%
% [VV,TT,FF,TN,IFF] = cdt(V,F,'ParameterName',ParameterValue, ...)
%
% Inputs:
% V #V by dim list of mesh positions
% F #F by dim list of face indices
% Optional:
... |
clearvars;
close all;
clc;
load funkcjeLUT.mat;
figure(1);
plot(kwadratowa);
I = imread('lena.bmp');
figure(2);
imshow(I);
Ikw = intlut(I, kwadratowa);
figure(3);
imshow(Ikw);
%% Pzy użyciu funkcji
LUT(I,kwadratowa);
LUT(I,log);
LUT(I,odwlog);
LUT(I,odwrotna);
LUT(I,pierwiastkowa);
LUT(I,pila);
LUT(I,wykladnicza)... |
function [out] = blp_produce_output(slices, BLP_WEIGHTS_TESS_THRESH, VOLUME)
verbose = 1;
n = slices;
PATH = '../co_cluster_distrib/Comparisons/';
% relative path to directory with BLP scripts
addpath(PATH);
load(sprintf('blp_weights_tessthresh_%d_VOLUME_%d', BLP_WEIGHTS_TESS_THRESH, VOLUME))
if verbose
fpri... |
function vertex1 = compute_bending_invariant(vertex,faces,options)
% compute_bending_invariant - compute bending invariants
%
% vertex1 = compute_bending_invariant(vertex,faces,options);
%
% Use out-of-sample interpolation to speed up the computation.
% The number of landmarks used is set by options.nlandmarks.
... |
clear;
% instantiate the library
disp('Loading the library...');
lib = lsl_loadlib();
% resolve a stream...
disp('Resolving an EEG stream...');
result = {};
while isempty(result)
result = lsl_resolve_byprop(lib,'type','EEG-ICA'); end
vis_stream();
% create a new inlet
disp('Opening an inlet...');
inlet = lsl_inlet... |
function java_read_caxfile(cn,caxfile)
global cs;
cs.s(cn).readcaifile(caxfile);
cs.s(cn).readcaxfile(caxfile);
cs.s(cn).init;
cs.s(cn).gettype;
cs.s(cn).bigcalc;
cs.s(cn).calcbtf;
cs.s(cn).calc_u235;
end
|
function [w] = kernel_linear(l,X,y)
n = size(X,1);
d = size(X,2);
K = X*X';
cols_X = size(X,2);
w = y'*pinv(K+l*eye(n))*(X);
end
|
tic
parfor i_file = 1:nFile
data = datas{i_file};
n=length(data);
i=1;
m=floor(n/256);
data=reshape(data(1:256*m)',[256,m]);
data=data';
Count=binDecode(data,1,0,0);
indexn=find(mod(Count,8)==1);
if( indexn(1) >1 )
data=data(indexn(1):end,:);
end
[m,mm]=size(d... |
% First Name: <Chengeng>
% Last Name: <Xiao>
% Stu. ID: <913186040>
%% Part 1
x = linspace(-7,7,1000); % Use Linspace to create a vector x
f = sin(10 .* x) .* x; % Set f(x)
g = sin(10 .* x); % Set g(x)
figure(1); % Initialize figure 1
plot(x, f, 'r', x, g, 'b'); % Draw f(x) in red & g(x) in blue
axis([-7, 7, -... |
function plot_tfcondition_blank(tfc)
%
%
%
%
%
%
epochs = {'TF1','TF2','TF3','TF4'};
% Animal Median and Mad
animal_med = [tfc.TF1.speed.blank_animal_median, ...
tfc.TF2.speed.blank_animal_median, ...
tfc.TF3.speed.blank_animal_median, ...
tfc.TF4.speed.blank_animal_median];
animal_mad = [tfc.TF1.spee... |
% written by NK,1406
% inspired by Greg Reeves, March 2009.
% Division of Biology
% Caltech
% Inspired by "smooth2", written by Kelly Hilands, October 2004
% Applied Research Laboratory
% Penn State University
% Developed from code written by Olof Liungman, 1997
% Dept. of Oceanography, Earth Sciences Centre
% ... |
function [vector] = deHat(matrix)
% map from a skew symmetry matrix to a vector
vector = [matrix(3,2); matrix(1,3); matrix(2,1)];
end
|
% specify problem
ul = 1;
ur = -1;
sigma = .1;
if ~exist('S')
SImport
end
% spacial discritization
a = 0;
b = 1;
Nx = 200;
deltaX = (b-a)/Nx;
x = ((1:Nx)-(1/2))*deltaX;
% set up exact solutions
pExact = @(x, z, t) (x <= .5 + sigma*z*t)*(ul + sigma*z) + ...
(x > .5 + sigma*z*t)*(ur + sigma*z);
uExact = @(x, z,... |
function [img,Pars] = swi47_recon(path_in,swi_ver)
if ~ exist('path_in','var') || isempty(path_in)
path_in = [pwd '/ge3d__01.fid'];
end
% if ~ exist('swi_ver','var') || isempty(swi_ver)
% swi_ver = 'amir';
% end
file=[path_in,'/fid'];
parfil=[path_in,'/procpar'];
Pars = Par_Read_Struct(parfil);
% Generalize ... |
file_path='.\train\';% 图像文件夹路径
img_path_list = dir(strcat(file_path,'*.jpg'));%获取该文件夹中所有jpg格式的图像
img_num = length(img_path_list);%获取图像总数量
imgTrain = [];
Q = [];%列矩阵，一副图像
trainFace = [];%降维后的训练样本的矩阵
% 读取每一幅图像
%转化为灰度图像 并将每一幅图像转化为列向量 然后合并为矩阵T
for j=1:img_num %逐一读取图像
image_name = img_path_list(j).name;%图像名
img = i... |
function [ intIdxDelFeature ] = algBelsley(structParam, structData)
% Find index the worst feature, the most collinear, through the Belsley algorithm
%
% Input:
% structParam - struct of algorithms parameters with following parameters:
% vecIdxFeatures - [1, k] - vector of indices selected features ... |
%
% from convolve_HRRs() in HRR.py
%
function [Xx, r_id] = convolve_HRRs(HRRs, ts, run_id, SPM)
%nruns = length(SPM.nscan);
nruns = double(max(run_id));
assert(nruns <= 6);
Xx = [];
r_id = [];
for s = 1:nruns
which = run_id == s;
% from spm_get_ons.m
%
... |
% mex_build_mri
% run matlab's "mex" command to "compile" the mri-related code
% into mex files.
% only users on unsupported systems, e.g., PCs, will need to do this
dir_current = pwd;
dir_mri = path_find_dir('mri');
cd(dir_mri)
mex -g exp_xform_mex.c
mex -g mri_exp_mult_mex.c
cd(dir_current)
cd('../mex/src');
irt_m... |
function graph(cm)
%% 绘图
%% 去除图中的权重为inf的边
for i=1:size(cm,1)
for j=1:size(cm,2)
if cm(i,j) == inf
cm(i,j) = 0;
end
end
end
%% 设置图显示权重并可视化
bg=biograph(cm);
bg.showWeights='on';
view(bg);
end |
clear all
close all
clc
global path_img path_save format_img;
% the tools used in algorithms are configured in the config_tool.m
run('../config/config_tool');
% the parameter of algorithms is configured in config_para_do
clear all
run('../config/config_para_do');
global path_img path_save format_img;
path_img =... |
function results = mc_bbs_cs(featuremat,pheno,nuisance,folds,NumComp,varargin)
n = size(featuremat,1);
pcadone = 0;
if (nargin > 5)
Aa = varargin{1};
components = varargin{2};
pcadone = 1;
end
thresh = 1;
if (nargin > 7)
thresh = varargin{3};
end
good = ~any(isnan(pheno),2) & ~any(isnan(nuisance),2... |
[x,y] = orgFingerCoords(0.981309,-2*pi/3,0)
plot(x,y)
hold on
scatter(x,y)
grid on
set(gca, 'XTick', [-100:2:100])
set(gca, 'YTick', [-100:2:100])
axis([-20 90 -4 40])
[x1,y1] = orgFingerCoords(0.4822,-1.15157,-2*pi/3)
plot(x1,y1)
scatter(x1,y1)
% x = x
% y = y
% x1 = x1
% y1 = y1
man_dist = x-x1+y-y1 |
% book : Signals and Systems Laboratory with MATLAB
% authors : Alex Palamides & Anastasia Veloni
% Relationship between DFT and DTFT.
% x[n] is random sequence
x=randn(1,21);
n=0:20;
syms w
Xdtft=sum(x.*exp(-j*w*n));
Xdft=fft(x);
N=length(Xdft);
k=0:N-1;
wk=2*pi*k/N;
ezplot(abs(Xdtft),[0 2*pi]);... |
classdef Documentor < handle
% DOCUMENTOR .m-bedded `doc`'s to .md text files
%
% Documentor (re)publishes embedded source code documentation to text files
% (i.e. as [Markdown](https://daringfireball.net/projects/markdown/)).
%
% **Refer to the README for basic usage.**
%
% __CONSTRUCTOR SYNTAX__
%
% Dr = Docu... |
function T = SE3_exp(xi)
%SE3_EXP generates the exponential map of SE(3) given a 6-vector in the twist coordinates.
%
% SYNOPSIS: T = SE3_exp(xi)
%
% INPUT xi is a 6-vector in the twist coordinates in the se(3) space.
%
% OUTPUT T is a 4x4 homogeneorus matrix for SE(3) rigid-body transformation.
%
% REMARKS
%
% created... |
% Figure 3.30 Feedback Control of Dynamic Systems, 6e
% Franklin, Powell, Emami
% script to generate Fig. 3.30
% Pole-zero effects
%
t=0:.01:2.5;
Den=conv([1 4],[1 6]);
z=1;
Num=4*6*[1/z 1];
[y1]=step(Num,Den,t);
plot(t,y1);
hold on;
z=2;
Num=4*6*[1/z 1];
[y2]=step(Num,Den... |
load('iris2.data');
data = iris2(:,1:4);
labels = iris2(:,5);
epsilon=0.5;
MinPts=10;
IDX=DBSCAN(data,epsilon,MinPts);
[~,RI] = RandIndex(IDX+1,labels);
RI |
function cost = PDFErrorAllParam( params ,OmigaCell, BoardCornerGap, BoardCornerXYNum,FrameIdUsed)
weight =80; %32;%
K1 = params(1);
K2 = params(2);
fx = params(3);
fy = params(4);
cx = params(5);
cy = params(6);
k1 = params(7);
k2 = params(8);
A = -1/K2;
B = -K1/... |
function MSE = calcMSE(Y1,Y2)
Y1 = Y1(:); Y2 = Y2(:); %vectorize inputs
MSE = mean((Y1-Y2).^2);
end |
classdef Students
properties
Height
Weight
end
methods
function r = BMI(obj)
r = obj.Weight/(obj.Height/100)^2;
end
end
end |
function g = func14(c)
% algebraic function for simple shooting example
[tot,yot] = ode45(@func, [0 1], [0 c]);
g = yot(end,1); |
function [esDeEnergia,energia] = esFuncionDeEnergia(n,x)
energia = sum(x.^2);
if(energia>=0)
esDeEnergia = true;
else
esDeEnergia = false;
energia = 0;
end
end |
% STAlagmite dating by Radiocarbon ; [star] version 02.02.2018
%The age model calculates accurate chronologies for stalagmites using 14C.
%Suitable samples are characterized by:
% i) the absence of long-term secular variability in DCF;
% ii) long enough growth for measurable 14C decay to have taken place ... |
clear; close all;
init = [2e5,2e5,1e5];
b = 3e-8;
b_scaled = b*1e8;
f = figure;
ax = axes('Parent',f,'position',[0.13 0.2 0.77 0.7]);
start = plot_helper(init,b_scaled);
P = plot3(start(:,1),start(:,2),start(:,3));
grid('on');
xlabel('Hunting cell population (N)','FontSize',15);
ylabel('Tumor cell population (M)','F... |
function aiMsg = String2Hex(~, achMsg)
% Converts each char from a string into its hexadecimal ascii value
aiMsg = ones(1, size(achMsg, 2));
for i = 1 : size(achMsg, 2)
aiMsg(i) = uint8(achMsg(i));
end
aiMsg = dec2hex(aiMsg);
end |
function labelThermalInds(thermalCam)
disp('time to label those pixels! woo WOO')
metaData.thermCalc = [.0051 -75.5];
thermalFrame = getsnapshot(thermalCam);
sizeFrame = size(thermalFrame);
temps_C = double((thermalFrame*metaData.thermCalc(1)) + metaData.thermCalc(2));
imagesc(t... |
function [ R ] = check_symbols( varargin )
%CHECK_SYMBOLS Summary of this function goes here
% Detailed explanation goes here
%% process input arguments
S=32; % number of bits per symbol
switch nargin
case 1,
X=varargin{1};
case 2,
X=varargin{1};
SD=varargin{2};
otherwise,
... |
outputname = '../data/mrl/allSStrmrltok3.mat';
if ~exist(outputname, 'file')
allSStrmrl = {};
path = '../data/mrl/train/pos/*.tod3';
names = dir(path);
for i = 1:length(names)
if isempty(strfind(names(i).name, '.tod3'))
continue;
end
fid = fopen(['../data/mrl/train/pos/' names(i).name], 'r');
c... |
function [rx, minFoM ] = dickson_optimizer_fsl (topology,opt)
% dickson_optimizer_ssl(topology,mode,Io): Finds the optimal capacitor relative sizing fora a dkison
% topology. The otpimtzation is done for a converter operatin in the FSL
%
% Based on Michael Seeman work
%Input paramters:
% + topology: dikson topo... |
sal = input('Salário atual ');
if (sal <= 280);
porc = 0.2;
novoSal = sal + sal*porc;
else;
if (sal <= 700);
porc = 0.15;
novoSal = sal + sal*porc;
else;
if (sal <= 1500);
porc = 0.1;
novoSal = sal + sal*porc;
endif
endif
endif
fprintf('O salário de R$ %.2f recebeu u... |
function [uast, cK, logdet, Euuast] = ibpmultigpUpdateLatent(model, UpdateA)
Kuu = blkdiag(model.Kuu{:});
if UpdateA == 1,
model.P = 0;
model.m2 = cell(model.nlf,1);
for d = 1:model.nout,
EZ2 = model.etadq(d,:)'*model.etadq(d,:) - diag(model.etadq(d,:).^2)...
+ diag(model.etadq(d,:));
... |
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