text stringlengths 8 6.12M |
|---|
clear
clc
disp('Projeto de filtro passa-baixas')
disp(' ')
wp = input('Entre com a frequencia da faixa de passagem, wp: ');
ws = input('Entre com a frequencia da faixa de rejeiรงao, ws: ');
disp(' ')
disp('Escolha da janela')
disp(' ')
disp('Opรงoes')
disp(' ')
disp('1 - Retangular')
disp(' ')
disp('2 -... |
function cost_aggr = graph_traversal(mst,cost,sigma)
%% obtain leaf nodes
deg = int8(degree(mst));
leaf_nodes = find(deg==1)';
deg = [];
if isfile('graph_traverse.mexa64') || isfile('graph_traverse.mexmaci64') || isfile('graph_traverse.mexw64')
cost_aggr = graph_traverse(mst.Edges.... |
function a = prediction(y,y_hat)
correct = 0;
[n m] = size(y);
for i=1:n
if((y_hat(i) >= 0.50) && y(i) == 1)
correct = correct + 1;
elseif((y_hat(i) < 0.50) && y(i) == 0)
correct = correct + 1;
end
correct
a = correct / n * 100;
... |
function varargout = ConvergenceDetermination(varargin)
% CONVERGENCEDETERMINATION MATLAB code for ConvergenceDetermination.fig
% CONVERGENCEDETERMINATION, by itself, creates a new CONVERGENCEDETERMINATION or raises the existing
% singleton*.
%
% H = CONVERGENCEDETERMINATION returns the handle to a new C... |
clear
clc
H = [1, 0, 1, 0; 0, 1, 0, 1; -1, 0, -1, 0; 0, -1, 0, -1];
A = [0 1 0 0; -2.1 0 -0.69 0;0 0 0 1;-0.92 0 -4.308 0];
B = [0 0; -1 1;0 0;1.467 2.533];
f = [0; 1;0;12/9];
H0 = [1 1 1 1];
t0 = 0;
tf = 15;
N = 750;
h = (tf - t0)/N;
g_d = [-1;-1;-1;-1];
g_u = [1;1;1;1];
lb = -1*ones(2*N,1);
x_h_values = zeros(4, N+1... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Title : run_DAUM_API
%
% Description :
% - ์์น ๋ฐ์ดํฐ๋ฅผ ์
๋ ฅ๋ฐ์ Daum API์ธ HTML ํ์ผ ํํ๋ก ์ถ๋ ฅ
% - Daum API User Key๋ฅผ ํ ๋น ๋ฐ์ ์ฌ์ฉํ ๊ฒ!
%
% Written by : Jinwoo Jung
% Last updated : 2017/05/24
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
cle... |
%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This script is to perform the defect detection on ham images
%
% Reference:
% xxxxx
%
% Matlab version was written and was tested on Matlab 2020a
% If you have any problem, please feel free to contact Sze Te... |
clear;
Wprint(16); |
function[dx]=geno_2_meta_dyn_t(t,x);
% ode model for 2 genotype metapopulation dynamics
% ensure all variiables >= 0
x(1)=max(x(1),0);
x(2)=max(x(2),0);
x(3)=max(x(3),0);
x(4)=max(x(4),0);
% import parameters
global beta mu_M D_M psi1 u1 tu
% interpolate control - for cts control remove 'previous'
u=interp1... |
% This script runs program rundivcrl
% for nine coordinate systems and puts
% the output in rundivcrl.tst
if exist('rundivcrl.tst','file')==2
delete rundivcrl.tst
end
syms x y z
vxyz=[x*y,y*z,z*x];
diary rundivcrl.tst
% rundivcrl(vxyz,cordname,tn,noprint) call list
rundivcrl(vxyz,@cylin,[10*rand,rand*2*pi,... |
function cubeIds = getCubeIds(param, segIds)
% cubeIds = getCubeIds(param, segIds)
% This function returns the linear indices of the segmentation cubes
% containing the segments in `segIds`.
%
% param
% Parameter structure
%
% cubeIds
% Matrix with the linear indices of the s... |
function plotHypnogram(stageData, cycleBounds)
% Stephanie Greer and Jared Saletin
% Walker Lab, UC Berekeley 11/22/2010
winSize = stageData.win;
srate = stageData.srate;
onT = etime(datevec(stageData.lightsON), datevec(stageData.recStart))/60;
offT = etime(datevec(stageData.lightsOFF), datevec(stageData.recStart))/6... |
clc;
clear all;
train = csvread('big_train.csv');
test = csvread('big_test.csv');
[row, column] = size(train);
train_reshape = reshape(train, row*column, 1);
test_reshape = reshape(test, row*column, 1);
ii = 0;
jj = 0;
for i = 1 : row*column
if train_reshape(i) ~= 0
ii = ii + 1;
idx(ii) = i;%่ฎญ็ป้
... |
function newImg = stich(imcyl1, imcyl2, Tx, Ty)
% ===============================================================================
% PURPOSE:
% CREATED:
%
% imcyl1: Height x Width x RGB
% imcyl2: Height x Width x RGB
% Tx: Translation in x
% Ty: ... |
function [ surfacesScaled ] = scaleSurfaces(surfaces, scale)
%SCALEPLOTS3D as the solutions to the PDE are linear in appplied voltage,
%instead of recalculating the solutoin for different voltages, simply
%rescale the solution starting with the solution for 1000V
% scale is the ratio from Vapplied to V1000
surfacesSca... |
function nexFileData = create_blank_nex()
%create_blank_nex for WaveLimit v1.3
% Adam Rouse, 4/23/20
nexFileData.version = 104;
nexFileData.comment = char(zeros(1,0));
nexFileData.freq = 40000;
nexFileData.tbeg = 0;
nexFileData.tend = 0;
nexFileData.events = {};
nexFileData.markers = {};
nexFileData.neurons{1}.name ... |
% a MATLAB script to extract the images from cuhk03 dataset
rootFolder = './rawdata';
data = load('cuhk-03.mat');
dataLabels = {'labeled', 'detected'};
for dataLabelsIndex = 1 : length(dataLabels)
% create a directory with the label only
label = dataLabels{dataLabelsIndex};
subFolder = strcat(root... |
% Gets best so far gap score and Rand index
function [bestSoFarGapScore, bestSoFarRandIndex] = getBestSoFar(shapelets, RI)
bestShLen = size(shapelets, 1);
bestSoFarGapScore = zeros(bestShLen, 1);
bestSoFarGapScore(1) = shapelets(1, 3);
bestSoFarRandIndex = zeros(bestShLen, 1);
bestSoFarRandIndex(1) ... |
clear all;
clc;
tic
% SOLVER OPTIONS
verbose = 1;
tolerance = 1e-8;
% OUTPUT OPTIONS
ssave = 1; % Save the results ?
pplot = 1; % Plot the results ?
folder = 'SaveData/'; % If results saved, name of the saving folder
nname = 'FastGradientD2.dat'; % Name of the file
% MINIMIZATION PROBLEM SETUP
L... |
clc;
clear all;
close all;
% Name of the company: Think Soft Research
% Project Name: parabola
% Date: Feb 8, 2019
% Time: 1:25PM
x=-10:1:10
% x=input('enter the inputs=');
Y=(x.^2);
disp('parabola of y=');
disp(Y);
% subplot(2,1,1);
plot(Y);
xlabel('values of x');
ylabel('value of y');
title('parabola Y=X^2'); |
function obj = SignalObject__filter(obj,varargin)
params = struct(...
'filterType', 'zeroPhase', ...
'cutoffs', [2.5 250], ...
'order', 2 ...
);
params = parsestruct(params,varargin);
signals = obj.data;
fs = obj.fs;
%{
validation
%}
assert(numel(params.cutoffs) == 2,'''cutoffs'' must be a two-elem... |
% bootstrap returns a bootstrap draw of a table, grouped by indeces.
function data2 = bootstrap(data, indeces)
% create vector of unique indexes
[~, g, c] = unique(data{:,indeces});
g2 = datasample(g,length(g));
data2 = table();
for i = 1:length(g)
newdata = data(c==g2(i),:);
newdata... |
function [xyz] = convert_uvd_to_xyz(tx, ty, fx, fy, uvd)
uvd = double(uvd);
P = [fx 0 tx;
0 fy -ty;
0 0 1];
Pinv = [1/fx 0 -tx/fx;
0 1/fy -ty/fy;
0 0 1];
d = uvd(3, :);
uvd(3, :) = uvd(3, :) ./ uvd(3, :);
XYZ = Pinv * uvd;
z = d;
x = XYZ(1, :) .* z;
y = -XY... |
% razliฤni barvni prostori so koristni pri upragovanju ( v RGB ฤe ลพelimo modro izolirati iz slike - dele slike,
% kjer se pojavlja modra barva)
% b)
I1 = imread('trucks.jpg');
figure(1);
hold on;
colormap gray;
subplot(2, 4, 1);
imshow(I1);
% Draw RGB channels as separate subplots
R = I1(:,:,1);
G = I1(:... |
close all; clearvars; clc;
img = imread('ertka.bmp');
se = strel('square',3);
imgErode = imerode(img, se);
figure(1);
subplot(1,2,1);
imshow(img);
title('Obraz originalny');
subplot(1,2,2);
imshow(imgErode);
title('Erozja z elementem strukturalnym square 3');
se = strel('sphere',2);
imgErode = imerode(img, se);... |
function g_open(filetype, filename, pathname)
% g_open opens the specified file in Gooselab
% filetype 0: guess, 1: video, 2: image, 3: project file, 4: sound file
% filename name of the file without path
% pathname path to the file
global goose
if nargin < 2
[filename, pathname] = uigetfile('*.*');
... |
n = [-10:10]; % Generate ints from -10 to 10
r = -3; % Offset of ramp function
unit = n >= r; % Create unit impulse at n=r
ramp = n.*unit + -1*r*unit; % Create ramp from impulse
stem(n, ramp) %Plot Ramp |
%%Mohammad Mahdi Heydari
%%9423045
%%Matlab HW1 Communication Systems 1
close all;
clc;
clear;
%%Q4
x = [zeros(1,9) 1+1i 2-2i 3+3i 4-4i 5+5i 6-6i 7+7i 8-8i 9+9i 10-10i];
y = [1+1i 2-2i 3+3i 4-4i 5+5i 6-6i 7+7i 8-8i 9+9i 10-10i];
y = conj(y);
a = repmat(x,10,1);
for n=2:10
a(n,:) = circshift(x,1-n) ;
... |
% read cameraman.tif, compute gx and gy using imgradientxy and compute gmag and gdir using imgradiet
img=imread('cameraman.tif');
[Gx,Gy]=imgradientxy(img,'sobel');
%Uncomment the code below to visualize Gx and Gy
imshowpair(Gx,Gy,'montage')
%Uncomment the code below to visualize Gmag and Gdir
[Gmag,Gdir]=imgradient... |
function [ flag ] = visibility_quickCheck( world, xStart, xGoal )
%VISIBILITY_QUICKCHECK This is a quick visibility check to determine if
%there is an unobstructed path between xStart and xGoal. We do this because
%the visibility of xStart and xGoal to the environment world are each
%computed separately, but they neve... |
function dataStruct = fun_processOneExperimentFile( fileFullPath,varargin )
% ๅ ่ฝฝๅๅบ็ๅฎ้ชๆฐๆฎๅฐdataStruct้
% ๆไปถ่ทฏๅพ
if 1 == length(varargin)
varargin = varargin{1};
end
baseFrequency = 10;%ๅบ้ข
allowDeviation = 0.5;%่ทๅๅ้ขๆถๅ
่ฎธ็่ฏฏๅทฎ่ๅด๏ผ้ป่ฎคไธบ0.5
multFreTimes = 4;%ๅ้ข1x,2x,3x
semiFreTimes = 4;%ๅๅ้ข0.5x,1.5x,2.5x
nullShiftDataPath = [];%... |
function y = approx_sqrt(x)
y = x;
while abs(y^2-x)>0.001*x
y = (x/y+y)/2;
end
end
|
% chaos11.m
% Dynamics of Linear and Nonlinear Systems.
% PHASE PLANE ANALYSIS: Linear and Non-linear Systems.
% A finite difference method is used to solve the paired coupled D.E.
% The number of calculations needs is enormous for stability N ~ 60e6.
% The simulation time not too large else solution diverges tMax.
%... |
function [esf, corr ] = XuGetESF(edgedata,resampling_interval)
l_s_f = XuGetLineSpreadFunction(edgedata);
l_s_f_resample = XuSpreadFunctionResample(l_s_f,resampling_interval);
l_s_f_resample(isnan(l_s_f_resample)) = 0;
esf = cumsum(l_s_f_resample(2,:))*resampling_interval;
corr = l_s_f_resample(1,:);
|
function [working_region] = Task53 ()
%% TASK42 () does step response in Lab 3
% Draws step response tests to find working region
%% getData
clc, clear all, close all
getdata
%% Parameters
% General parameters
%sftp = @simulateFanToPlate; % Because I'm lazy
umin = min(u_step); % Minimum test v... |
function [net, info] = mynet_train(imdb, expDir,varargin)
% some common options
opts.train.batchSize = 80;
opts.train.numEpochs = 80;
opts.train.continue = false ; % If set to true training will start where it stopt before (to start from zero use false)
opts.train.gpus = [] ;
opts.train.learningRate = [1e-2*ones(1,2... |
#Simulacioncita
function simu1
V0 = 1200
temps = [0 700]
#el arroba para que es?
[t, V] = ode45(@fder,temps,V0)
#ode45 es la funcion que resuelve ecuaciones diferenciales ordenarias
#la ecuacion a resolver se especifica entre parentesis (fder)
#luego se especifica el rango de valores de la variable depend... |
function FR = FbApply2d( I, FB, shape, show )
% Applies each of the filters in the filterbank FB to the image I.
%
% To apply to a stack of images:
% IFS = fevalArrays( images, @FbApply2d, FB, 'valid' );
%
% USAGE
% FR = FbApply2d( I, FB, [shape], [show] )
%
% INPUTS
% I - 2D input array
% FB - filterban... |
function [Q, M] = rotate_xyz (P, roll, pitch, yaw)
%
% function [Q, M] = rotate_xyz (P, roll, pitch, yaw)
%
% Rotate P of roll radian among x axis, then pitch (tilt) radians among y axis
% and yaw (pan, head) radians among z axis. M is the rotation matrix, given
% by M = Myaw * Mpitch * Mroll.
%
% Rotation matrix %%%%... |
function has_map = has_aerospace_toolbox()
if usejava('jvm')
addons = matlab.addons.installedAddons();
has_map = any(contains(addons.Name, 'Aerospace Toolbox'));
else
has_map = ~isempty(ver("aero"));
end
end
|
function varargout = gridmeshToQuadmesh(x, y, varargin)
%GRIDMESHTOQUADMESH Create a quad mesh from a grid mesh.
%
% Deprecated: replaced by surfToMesh (2012.10.25)
%
% [V F] = gridmeshToQuadmesh(X, Y)
% [V F] = gridmeshToQuadmesh(X, Y, Z)
% Converts the surface grid given by two or three coordinate arra... |
function m_dB = margin_availability(avail)
p1_margin =-log(avail);
margin = 1/p1_margin;
m_dB = dec2dB(margin);
end |
function [plx events] = readPLX(filename, syncChannel);
plx = plx_info(filename,'all');
[unit ch] = find (plx(2:end,2:end));
for i = 1:length(ch)
[ch(i) unit(i)]
[ct events{i}] = plx_ts(filename,ch(i),unit(i));
end
[ct events{i+1}] = plx_ts(filename,syncChannel,0); |
% Author: Jinxin Yang
% Parameters: check the legality of NT and Anginc
% they should be int and >0
function isLegal = check_num(num)
isLegal = false;
if int32(num)==num && num>0
isLegal = true;
end
end |
% |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
% INFORMATION
% |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
%
% Does multiple runs of the nonparametric permutation version of Spearman's
% correlation between fitted parameter values a... |
% test the cmmfile c++ mathematica matlab data file interface
function in = test_cmm()
%create some data
out = {int32([1 2 3 4]) 'hello' [10.1 100.5; 6.6 5.4; 2.2 2.1] {'hello' 'world'; 'doll' 'iset'}}
cmm_write_file('test_mat.dat', out)
in = cmm_read_file('test_mat.dat')
%return
% n... |
function compressionTest
import io.*;
import transform.*;
import quantize.*;
import motion.*;
[~,~] = mkdir('Test');
[~,~] = mkdir('Test/compression');
infile = 'foreman_cif.y';
isCIF = true;
qBins = 100;
searchRange = 16;
outfile = sprintf('Test/compression/test_lossy%d_%s.bit', qBins, datestr(now,'yy-mm-dd(HH;MM... |
%% ฮฮฮฮฮฮฮฯ
clear
x = imread('../test_image/lena.jpg');
imshow(x);
y = x(128:138,128:138);
figure,imshow(y);
y |
function [newpara,outputsize] = checkpara(para)
newpara = para;
inputsize = 39;
outputsize = zeros(1,length(para)/2);
j = 1;
for i = 1 : 2: length(para)
tmp = (inputsize - para(i) + 1) / para(i+1);
tmp = round(tmp);
if(tmp < 0) error('Kernel size is too large!');end
newpara(i) = inputsize + 1 -... |
function [ out ] = data_scale_new( in, minin, maxin, minval, maxval)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
in = in - minin;
in = (in/(maxin - minin))*(maxval-minval);
out = in + minval;
end
|
%{
Let I be variables to update, O be other variables
min x^T Q x / 2
s.t.
A x = b
L(x, y) = x^T Q x / 2 - y^T (Ax - b) + beta / 2 ||Ax - b||^2
Dx L = Qx - A^T y + beta A^T (Ax - b)
Dx L = Q_I x_I + Q_O x_O - A^T y + beta A^T (A_I x_I + A_O x_O - b) = 0
We want P_I Dx L = 0
where P_I projects onto variables I
P_I [-... |
function [sx, sy, se, ys, ye] = r_lowess(x, y, varargin)
% use robust loess to smooth the data in y w.r.t. x
%
% Arguments:
% x, y - same length vectors
%
% Name/Value Arguments:
% p - percent of points to consider. default = .1.
%
% Returns:
% sx - sorted x values
% sy - sorted smoothed y values
% se - sorted lo... |
function [errorcode] = epanetclose()
%EPANETCLOSE - close the dll library
%
% Syntax: [errorcode] = epanetclose()
%
% Inputs:
% none
% Outputs:
% errorcode - Fault code according to EPANET.
%
% Example:
% [errorcode]=epanetclose()
% Original version
% Author: Philip Jonkergouw
% Email: pj... |
clear all
hold on
axis equal
a1 = 0;
b1 = 14;
a2 = 1;
b2 = 10;
axis([a1 b1 a2 b2])
mu1 = [2,3];
sigma1 = [0.3,0.05;0.05,0.3];
r = mvnrnd(mu1,sigma1,1000);
dataset = r;
mu2 = [5,6];
sigma2 = [0.3,0.1;0.1,0.3];
r = [r; mvnrnd(mu2,sigma2,500);]
dataset = [dataset;r];
mu3 = [5,3];
sigma3 = [0.3,0.0... |
function [gene,tf,net_prob,gene_names,tf_names]=prepare_data6(filename,control)
% control=0 % denovo network
% control=1 % sush net
%control=2 % motif net
% control=3 %bind net
%control=4 % comb motif and bind
% determining gene_names and tf_names
a=open('gene_names.mat');
gene_names=a.gene_names;
b... |
function celltest
% testowanie dzialan na tablicach komorkowych z lancuchami i liczbami
tabkom1={}; tabkom2={}; tab_kom={};
tabkom1={
'tablica komorkowa 1-sza' 1.1 2.2 3.3;
};
disp('tabkom1');
celldisp(tabkom1);
cellplot(tabkom1);
pause(10);
%
tabkom2={
'TablicaKom Wiersz 3-ci ' 111.1 222 333;
... |
function [ safetyLog ] = lineBasedClearanceService( file_name )
%Service that computes clearance of road given data
% Detailed explanation goes here
%% ==================== Part 1: Vehicle info ====================
wheelbase = 1.78;
vehicle_width = 1.58;
track = 1.3;
%% ==================== Part 2: Compute Clearanc... |
% Matteus Legat %
clear
clc
format long
ANS_X = "RESPOSTA DO EXERCรCIO X NO ENUNCIADO"
gauss();
seidelrelax();
|
gscatter(pos3(:,1),pos3(:,2),L);
axis off
legend off
saveas(gcf,'full.png') |
function x = qnan
%QNAN Return a quiet (non-trapping) NaN.
%
% QNAN is the IEEE arithmetic representation of a quiet (non-trapping) NaN
% (Not-a-Number).
%
% See also NAN, INF.
% Author: Peter J. Acklam
% Time-stamp: 2002-03-03 13:18:26 +0100
% E-mail: pjacklam@online.no
% URL: http:... |
function out = sigview(varargin)
%SIGVIEW Plot one or several signals.
%
% SIGVIEW(X), where X is a (possibly multidimensional) signal in the
% structure-with-time format used by Simulink, plots the signal in a new
% plot window.
%
% SIGVIEW(X,Y,...) plots several signals in the same window, in
% differe... |
clearvars;
close all;
% ๊ณผ์ 3 ์คํฌ๋ฆฝํธ ํ์ผ
%% ํผ์๋
ธ ์๋ฆฌ ํ์ผ ์ฝ๊ธฐ
InputSignal = audioread('Piano_D#.wav');
%% Fast fourier transform (FFT)
tic;
Input_FFT = FastFourierTransform(InputSignal);
toc;
%x=1:131072;
%plot(x,abs(Input_FFT));
%% Piano key recognition
NoteNumber = recognizePianoNote(Input_FFT);
% ์ ์ด๋ฆ
NoteName = [{'C'}... |
% read in image
clear all;
image=imread('rozmyte.jpg');
load('allObjectsMask.mat')
test = 2;
%% show binary contour mask of all
%imshow(allObjectMask);
% contour of all
contourOfAll = bwperim(allObjectsMask, 8);
figure;
imshow(contourOfAll);
%% recognize colors
if test == 1
%cut out background of image
noBackgr... |
innerCells = [ 5 6 7 10 11 12 16];
innerCells = [innerCells innerCells+19 innerCells+19*2];
%% Initial simulation parameters
numberUEs = 1425;
numberCells = 57;
epochDuration = 0.001;
bandwidth = 20*10^6/2;
clear TPcdf SINRcdf scountMat scount
sampleSize = 30;
totInnerTP = 0;
datacontrolRatio = 14/11; %includes contr... |
function [OuputMatrix] = pca_project(InputMatrix,TranformMatrix)
% InputMatrix is matrix N(neurons) by T(time) data
OuputMatrix = InputMatrix'*TranformMatrix;
end
|
for t=0:dt:tfinal
U=zeros(1,length(x));%ๆฏไธๆถๅป็่ดจๅ
ๆๅ
for n=1:100
omegan=sqrt(n^2*omega0^2-b^2/4);
U=U+2*A*omega*sin(n*pi*x0/l)/(lambda*l*(b*omega^2+(omega^2-omegan^2)^2/b))...
*(-(omega^2-omegan^2)/(b*omega)*sin(omega*t)+...
(omega^2-omegan^2+b/2)/(b*omegan)*exp(-b*t/2... |
function generate_bar_graph(wo_data, w_data, x_str)
%
chehra_c = 'cyan';
deva_c = 'yellow';
intraface_c = 'green';
rcpr_c = 'magenta';
wo_our_c = 'blue';
w_our_c = 'black';
bar(1, wo_data(1), chehra_c);
hold on;
bar(2, wo_data(2), deva_c);... |
load('Features.mat');
load('CW09B.mat');
load('CW12B.mat');
load('GOV2.mat');
load('MQ07.mat');
load('MQ08.mat');
load('MQ09.mat');
load('NTCIR.mat');
load('WSJ.mat');
load('FeaturesTerm.mat');
load('CollectionStats.mat');
STEMMERS={'KStem'};
TWS={'BM25' 'LGD' 'DFIC' 'DFRee' 'DLH13' 'DLM' 'DPH' 'PL2'};
MEASURES={'NDCG... |
clc;
clear all;
close all;
%%
t=linspace(-5,5,101);
rect=zeros(1,101);
a=find(t==-2.5);
b=find(t==2.5);
rect(a:b)=1;
subplot(311)
plot(t,rect)
xlabel('time/[s]')
ylabel('amplitute')
title('rect function')
hold on
[Xk,f0,Series] = cefs(rect,10,t);
% plot(t,Series)
% legend('Signal','FourierSeries')
% hold on
%
%
%... |
function [p, sol] = runSpectralModel(p, sol, nSteps)
% Initialize computation time
p.tc = tic;
% Initialize iterate and time if not already initialized
if ~exist('p.iit'), p.iit = 0; end
if ~exist('p.t'), p.t = 0; end
% Initialize saving
if p.dnSave ~= 0 && ~exist('p.saveCount')
... |
function q = DiscriminationTask(varargin)
% PSychophysics expeirment for UFlicker. The oberserver is presented with a
% fixation point. Then the background moves and at some variable time
% defined by objDelays the two patches appear on either side of the
% fixation point. THe task is to identify the highest contrast... |
function [X] = dtft(x,nx,w)
% Computes Discrete-time Fourier Transform
% [X] = dtft(x,n,w)
%
% X = DTFT values are computed at w frequencies
% x = finite duration sequence over n
% n = sample position vector
% w = frequency location vector
M = 250;
k = -M:M; % k = 501 points
X = x*(e... |
function multiply = expos(x, n, nmin)
[~,m] = size(x);
result = eye(m);
while n ~= 0
%verific daca n este par/impar
%mai exact, daca cel mai din dreapta bit este 1 sau 0
if bitget(n,1) ~= 0
result = strassen_algorithm(result, x, nmin);
%n devine par
n = n-1;
end
%inmultesc pe x cu el insu... |
% This script shows a sublevelset persistence example - Section 7.6
clc; clear; close all;
import edu.stanford.math.plex4.*;
%% Example: Random input
filename='random';
M=rand(100,100);
intervals_sub = sublevelset_persistence(M,filename)
|
function argc = argScriptFromStructure(P)
%re-creates SMARTS295 input argument cell vector from structure
% takes advantage of the fact that the order doesn't matter
fn = fieldnames(P);
n = 0;
for k=1:length(fn)
value = P.(fn{k}).Value;
name = P.(fn{k}).Name;
nV = length(value);
if nV==1
... |
% DEIM - Discrete Emperical Interpolation Method
%input
% B - reduced basis of problem, obtained e.g by greedy algorithm
function [U,P,p] = DEIM (B)
% max of first basis vector
[val, loc] = max(abs(B(:,1)));
%initialize U,P and p
r = length(B(1,:)); % rank
U = [B(:,1)];
P = zeros(length(B(:,1)),1);... |
function [z_a,Rphi,W,s_moment,solver_time]=RobustPortfolio(z, alpha, lambda)
% -z is the data set. Each row corresponds to a time slot and each column an
% asset
% -alpha is the confidence level for which we want to consider the
% uncertainty set
% -lambda is the risk-aversion coefficient
%%%
% -Rphi and W is the sol... |
function k = next_prime(n)
n1 = n + 1;
while n1 > n
if isprime(n1)
k = n1;
break;
else
n1 = n1 + 1;
end
end
|
function [f,MX]=extension_to_zero(f,MX,n)
% Extrapole the function to zero outside the domain
% f : N x M
%
if nargin <3
n=10;
end
n_add= 2*n;
n=n-2;
N=size(f,1);
d=length(MX);
f=reshape(f,[N MX]);
for k=1:d
MX_ = MX;
MX_(k)=[];
M_=prod(MX_);
M_=max(M_,1);
f = permute(f,[1 ndims(f)-d+1+mod((k... |
function [beta,st] = aic_sol(x,y,b0,rang,itr)
% rag is the range for searching the solution. Suggestion area from 0.5 to 2;
[n,p]=size(x);
[p,d]=size(b0);
IR=floor(rang*100)+1;
for i=1:IR % the searching range
[beta,st] = spar_sol(x,y,b0,i/100-0.01,itr);
g=DistCorrVec(x*beta,y);
f = -2*log(g) + 2*d*... |
function numgrad = Num_Grad(J,theta,epsilon)
% Computes the numerical gradient given a theta vector and a cost function pointer
% which uses theta as the only input
% J(theta) should give the cost at theta
if nargin < 3, epsilon = 1e-4;
numgrad = zeros(size(theta));
perturb = zeros(size(thet... |
clear;clc;close all;
load no_zero.mat %load all node in the result---- parameter: no_zero
load skel1.mat %parameter : skel1
[r,c,s]=size(skel1);
result=zeros(r,c,s);
tic;
% Distance matrix
D=distanceMatrix(no_zero);
[n,~]=size(no_zero);
connect_matrix=zeros(n,n);
threshold_number=10;
%Choose the numbe... |
function test_Cohesive_Law_mixedmode_cl
[material, epsilon, NumPoints] = Cohesive_test_input;
% Number of steps in the displacement vector
NumSteps=200;
%----------------------------------------------------------------
% Test Mixed mode positive shear with normal compression loading
%===================... |
%================================================================%
% Chris Park
% CSCD 409, Homework 1
% <4-2-2016>
%
clc, clear, close all ; %Clear variables, plots, and console
diary cparkHw1.txt %Diary text output.
disp('Chris Park - CSCD 409 Homework 1') ;
disp('This assignment was te... |
clear all
format long
n = 4;
%n = 8;
%n = 12;
%n = 16;
xd = linspace(-1,1,1000);
%%fff = exp(-(xd-0.5).^2);
fff = 1 ./ (16.*xd.^2+1);
x1 = -1+2*(0:n) / n;
%%%f1 = exp(-(x1-0.5).^2);
f1 = 1 ./ (16.*x1.^2+1);
[coef1,~] = divdif(x1,f1);
y1 = evalnewt(xd,x1,coef1);
k = (0:n);
x2 = cos(k*pi/n);
%%%f2 = exp(-(x2-0.5).^2)... |
function sortAND3results(resultPoint, name)
flowCalResult = strcat('C:\Users\David Zong\Dropbox\Rice\Bennett Lab\Data\Hybrid Promoter\Flow Cytometer\Flowcal\', resultPoint, '\result.csv');
d = csvread(flowCalResult);
inducerConc = [0, 1e-3, 1e-2, 1e-1, 1e0, 1e1];
inducer1 = reshape([inducerConc;inducerConc;inducerC... |
function [udata, out_copula]= gauss_copula_transform(data, in_copula)
udata = zeros(size(data));
for dim=1:size(data,2),
if nargin<2||isempty(in_copula),
[ecdf_ x]= ecdf(data(:,dim));
%the precision of the extreme value is half way between the last two
%values
myeps = (ecdf_(end) - ecdf_(en... |
clear;clc;close all;
f=@(t,y) -20*(y-t^2)+2*t;
y1=-1/3;
h1=0.005;
h2=0.005;
t=[0:h1:0.2 0.2+h2:h2:1]';
y=t.^2-exp(-20*t)/3; % analytical solution
yrk4=runge_kutta_4(f,y1,t);
yab3=adams_bashforth(f,y1,t,3);
yab4=adams_bashforth(f,y1,t,4);
yab5=adams_bashforth(f,y1,t,5);
yam3=adams_moulton(f,y1,t);
ytrp=trapezoid(f,y... |
clear all; close all
%This script calculates elevation distributions for both the control and
%treatment experiment. This data is used to create Figure 2b
%%First, lets set our relative path, we should have opened this file from
cd '..\' %We should have opened this code from 'C:\Users\XXXXXXX\Documents\GitHub\TDWB_1... |
function isNonSucesseful = errorReport(mFileName,category)
%errorReport categorize the error report into several classifications
GNATboxName = 'GNAT';
errorMsgID = [GNATboxName ':' mFileName ':' category];
% errorMsgID = [ mFileName ':' category];
if strcmp(category,'NotEnoughInput')
errorDetailedMsg='Not enough n... |
function [a, b] = get_ab(ang, harmonicX, harmonicY)
ang = ang*pi/180;
for i = 1:1:2
for j = 1:1:2
a(i,j)=harmonic_function(harmonicX(i,j).beta,ang);
end
end
for i = 1:1:2
for j = 1:1:2
b(i,j)=harmonic_function(harmonicY(i,j).beta,ang);
e... |
function newRegion = pruneConnectedComponents(cc)
newRegion = zeros(size(cc));
cc = logical(cc);
cc = bwconncomp(cc);
regions = regionprops(cc);
toBePruned = [];
for i = 1:length(regions)
bb = regions(i).BoundingBox;
regArea = regions(i).Area;
% Aspect R... |
function [XYZ, Edge, NN] = FindNN(XYZ,Edge,BoxWidth,MaxEdgeDist,MinEdgeDist)
%% Find Nearest Neighbors
% Given XYZ, a list of points, and
% Edge, a list of known edges between points
NN = zeros(size(XYZ,1),4);
ed = size(Edge,1);
BondType = 3; % amorphous bonds only implemented here
disp('Finding existing nearest nei... |
function saveTightFigure(H,file,crop)
%SAVETIGHTFIGURE save the figure as file
% Inputs:
% H Figure handle
% file Filename of output file
if nargin<3
crop = [0 0 0 0];
end
set(0,'currentfigure',H);
if strcmp(get(gca,'Visible'),'on')
set(gca,'units','centimeters');
pos = get(gca,'Position');
... |
function geconfig(hfig,evnt) %#ok
gd=guidata(hfig);
hf = figure('units','normalized',...
'position',[0.253 0.323 0.134 0.301],...
'menubar','none',...
'name','geconfig2',...
'numbertitle','off',...
'color',[0.925 0.914 0.847]);
uicontrol(hf,'style','pushbutton',...
'units','normalized',...
... |
% lung_nodule_marked
function [net, info] = lung_nm_train(varargin)
% CNN_lung_nm_train Demonstrated MatConNet on lung_nodule_marked
% 1 matconvnet setup
matconvnet_dir='H:\dataset\matconvnet-1.0-beta8\matconvnet-1.0-beta8\matlab';
run(fullfile(matconvnet_dir,'vl_setupnn'));
% 2 information for data and others
... |
%#url http://www.stat.duke.edu/research/software/west/hiwsim.html
%#author Mike West
|
function [A, G, H] = get_AGH(y, config)
% Return the gimbal frame axes given their initial configuration and the
% current gimbal axes
% Full matrices for 3D applications
gamma = y(config.model.id.gamma);
G = config.model.G0;
H = config.model.H0*diag(cos(gamma)) + config.model.F0*diag(sin(gamma));... |
% Workaround for a bug in MATLAB when in that exists(x, 'file') and exists(x, 'dir') give incorrect and inconsistent results
function b = FileExists(x, folder);
if nargin < 1 || nargin > 2; error('FileExists must have 1 or 2 input arguments'); end
if nargin < 2; folder = false; end
[d,f,e] = fileparts(x);
if strcmp(d,... |
%in barnamei baraye miangin giri az tasavir noisi ba noise gausian miangin0 varianse0.1 ast.BARAYE
%EJRAYE BARNAME HAME BARNAME RA ENTEKHAB KARDE(Ctrl+A & Ctrl+C)VA DAR Command
%Window MATLAB PASTE KONID.
%tasvire vorudi
clc;
clear all;
close all;
%tasvire vorudi
IMG_IN = double(imread('7.tif'));
%ezafe kardane noise n... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.