text stringlengths 8 6.12M |
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function AddImportFilterPath
[MFilePath, MFileName]=fileparts(mfilename('fullpath'));
TempIndex=strfind(MFilePath, '\');
ProgramPath=MFilePath(1:TempIndex(end)-1);
DataDir=[ProgramPath, '\ImportExport\ImportModule'];
ImportDir=GetImportModuleList(DataDir);
if isempty(ImportDir)
return;
end
for i=... |
function [] = demo_FastEMD_compute(P,Q,D,extra_mass_penalty,flowType)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% EMD computation
% This part is common to all demo_FastEMD scripts
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Fastest version - Exploits the fact that the ground distance is
% thr... |
function [ ] = addToSelection( name )
% Robert Cooper 10-17-2014
% This script interacts with photoshop to add the input name to the
% selection.
script = [ 'var re = "' name '";'...
' var matches = collectNamesAM(re); '...
' for( var l = 0; l < matches.length; l++ ){ '...
' addToSelectionByIndex(... |
function yhat = segment(im, mask, model, D, D2, params, params2, scaleparams)
% Pre-process image
up = [size(im, 1) size(im, 2)];
im = pyramid(im, params);
if max(mask(:)) > 1; mask = mask ./ 255; end
% Extract first module feature maps
L = extract_features(im, D, params);
% Pre-process f... |
function [fNorm, tNorm, sNorm, Cost] = NormCalculation(fUpdate, Image, sWeight, tWeight)
fNorm = sum(abs(fUpdate(:)).^2);
if tWeight ~= 0
tNorm = abs(diff(Image,1,3));
tNorm = tWeight * sum(tNorm(:));
else
tNorm = 0;
end
if sWeight ~= 0
sx_norm = abs(diff(Image,1,2));
sx_norm(end,:,:,:,:)=[];
... |
% prova aggiunta file
c = 1;
|
function tEvent = getButtonSync(nFrames,frameRate,tEvent)
%GETBUTTONSYNC Get frame number for button pushes in the OptiTrack rec
%
% button_frame = cpl.getButtonSync(nFrames,frameRate,tEvent)
%
% --------
% INPUTS
% --------
% nFrames : Number of frames in this OptiTrack recording
% ... |
function Z = coeffFun2DBlocks6(xi, X, Y)
% In
% xi ... parameter size 6
% X, Y ... coordinates (with meshgrid)
% Out
% coeff ... coefficient
Z = zeros(size(X));
Z(0 <= Y < 1/6) = xi(1);
Z(1/6 <= Y < 2/6) = xi(2);
Z(2/6 <= Y < 3/6) = xi(3);
Z(3/6 <= Y < 4/6) = xi(4);
Z(4/6 <= Y < 5/6) ... |
% load the data
dir = '2014-04-18-near-goalposts/mat/';
filename = 'pass1.mat';
dir_prefix = '/home/abarry/rlg/logs/';
dir = [ dir_prefix dir ];
loadDeltawing
% get start and end times
[throttle_start, throttle_end] = FindActiveTimes(u.logtime, u.throttle, 1150);
% get altitude start and end times
[alt_start, ... |
% need to edit so that requirement is not trial.end == 48, since now
% includes fix break trials so size of block is often > 48
function [TestBlocks]=DPF_ExoAttnParseFiles(Observer);
eval(sprintf('Folder=dir(''data/%s'');',Observer));
if size(Folder,1)
FileNum=length(Folder); %for all items
for File=3:FileNum %exclud... |
function [spikes,frame_vector,removed_spikes] = AdjustFramesVector(sp,stimInfo,frame_vector);
%%% This function will take the original spiketrain and the original frames_vector
%%% and adjust both to account for extra syncs and create a new
%%% spiketrain and new frames_vector to be used for generating the raster plot.... |
function [InTick, OutTick] = MarijnInitInOutTick(inettyp, N, mu, th, sigx, sigy)
sigscal = mean(mu) / 3;
R = [cos(th) sin(th); -sin(th) cos(th)];
InDeg = 3 * (N + abs(diff(mu * N)));
OutDeg = 0;
if ismember(inettyp,1:3)
while abs(sum(InDeg) - sum(OutDeg)) > abs(diff(mu * N))
x ... |
% This is a basic predator-prey script that is intended to show
% how to organize a test code.
% The predator and prey strategies are very basic.
function predator_prey
close all
Initial_fuel_r = 500000; % Max stored energy for predator
Initial_fuel_y = 50000; % Max stored energy for prey
... |
function gij = mth_os_mt_cont(e, a, eta)
% MTH_OS_MT_CONT computes the contravariant matric tensor gij of the
% oblate spheroidal coordinate system.
%
%-----------------------------------------------------------------------
% Copyright 2020 Kurt Motekew
%
% This Source Code Form is subject to the terms of the Mozilla P... |
function obj = tv_objective( x, b, mu, eps )
obj = mu*l1_eps(grad2d(x),eps) + 0.5*norm(x-b,'fro')^2;
return
function rval = l1_eps(x, eps)
rval = sum(sqrt(x(:).^2+eps.^2));
return
|
function [J, grad] = lrCostFunction(theta, X, y, lambda)
m = length(y);
J = 0;
grad = zeros(size(theta));
h = sigmoid(X * theta);
non_reg_j = - (1 / m) * sum(y .* log(h) + (1 - y) .* log(1 - h), 1);
reg = lambda / (2*m) * sum(theta(2:end, 1) .^ 2);
J = non_reg_j + reg;
% [ 1 3 4..] this should be a column vector
no... |
clear all;
close all;
clc;
% Siulation Time
simulation_time = 3;
global C R applied_external_voltage maximum_charge;
% Applied Voltage
applied_external_voltage = 10;
% Capacitance
C = 1e-2;
% Resistance
R = 50;
% Maximum Charge on capacitor
maximum_charge = C / applied_external_voltage;
initial_charge = 0;
... |
function result=mainFunction(populationSize, numberOfMutations, numberOfSteps, data,dataLength)
combinations=nchoosek(1:5,3);
combinationsToClassification=CTC(combinations);
score(1:10,1:3)=0;
scoreSin(1:10,1:3)=0;
% data = 256 x 15 x 3
for j=1:1:10
for i=1:3:9
dataIn14=[data(:,combinations(j,1),(i+2)/3), ... |
function H=VisualizeBoundCircle(X,R,C)
% Visualize a 3D point cloud and its bounding circle.
%
% - X : M-by-2 list of point co-ordinates
% - R : radius of the circle.
% - C : 1-by-3 vector specifying the centroid of the circle.
% - H : 1-by-6 vector containing handles for the following objects:... |
function [alice_key, bob_key] = QKD(n,eavesdropping)
% |0>
O = [1;
0];
% X gate
X = [0 1;
1 0];
% Hadamard gate
H = (1/sqrt(2))*[1 1;
1 -1];
%% Alice
alice_bits = randi([0,1],1,n);
alice_bases = randi([0,1],1,n);
for i=1:n
if alice_bits(i)==0
... |
%% Initialization
% clear the work space and close all figures
clear; close all;clc;
% Add all the folders into Matlab path
currentFolder = pwd;
addpath(genpath(currentFolder));
% Change the plot model in case of drawing crash
opengl('save', 'software');
% Finished
fprintf('Initialized!\n')
|
%% simulate data
N = 20; % number of subjects
for n = 1:N
P(n).lrate = betarnd(1,9); % learning rate sampled from a beta distribution with mean 0.1 (=1/(1+9))
P(n).invtemp = gamrnd(5,1); % inverse temperature sampled from a gamma distribution with mean 5 (=5*1)
end
T = 100; % number of trials
R = [0.25 0.75]; %... |
% "High precise and zero-cost solution for fully automatic industrial robot TCP calibration"
function [T] = tcp_calib(data,n)
%plane norm vector
normal_vector = [n(1) n(2) -1];
%normalize plane norm vector
nor = norm(normal_vector);
normal_vector = [n(1)/nor n(2)/nor -1/nor];
... |
%The MIT License (MIT)
%
% Copyright (c) January, 2014 michael otte
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, co... |
function [freq,flux,yes] = one_radial_line(nphot , xk0 , alpha , beta , make_plot , save , all_radial , radial_release)
% set random number generator
rng(10);
% s = rng;
nchan = 100;
xmax = 1.1;
vmin = 0.01;
deltax = 2*xmax/nchan;
freq = zeros(1,nchan);
flux = zeros(1,nchan);
... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Code can be found at https://github.com/OakesLab/FFT_Alignment
% This routine produces a vectorfield of alignment directions using small
% subwindows in the real space image. Images should be grayscale images.
% Angles determined are... |
%{
This scripts outputs the positive and negative vector fields together with
the parameters. The vector fields (over an annulus) correspond to the
instaneous trajectory of the ground contact point of an oblique cone when
its apex is fixed and the cone is allowed to roll on a flat ground over its
base rim.
%}
%Set p... |
% Name: Zheng Wen
% USC ID: 7112807212
% USC Email: zwen1423@usc.edu
% Submission Date 1/27/2020
function res_img = NLmeans(img, small_r, large_r, h, a)
%h: standard division
%a: gauss standard devision
[m,n]=size(img);
res_img=zeros(m,n);
PaddedImg=reflectionPad(img,small_r);
panel=zeros(2*small_r+1,2*sm... |
function DispNumberedTrig(Trig,vertexIndeciesP,faceIndeciesP,varargin)
figure
if(length(varargin)>0)
Colors=varargin{1};
if(length(varargin)>1)
ClearP=varargin{2};
else
ClearP=true;
end
else
ClearP=true;
Colors=['r','g','b','c','y'];
end
Ncolrs=length(Colors);
if(ClearP)
... |
function M = rob_anim(fig,t_list,x_list,u_list,bnd_B,rob,gnd,prespect,flag_CoM)
% input: fig ---- figure handle
% Yt_list -- output of simulation
% Yx_list -- output of simulation
% bnd_B ---- boundary of target set, has to be 2xm matrix
% rob ---- SimHopRob structure
% gnd ----... |
function correlationMats = do_group_level_glm(correlationMats, Settings)
%DO_GROUP_LEVEL_GLM run group comparison
%
% Copyright 2014 OHBA
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundati... |
clear all
close all
%%% add fieldtrip path
addpath /home/jaco/fieldtrip-read-only/preproc/
%%% create random data
data = randn(32,500,100); % 32 channels, 500 samples, 100 trials
data = cumsum(data,2);
data(32,2:500,:) = data(1,1:499,:);
cfg.chan_sel = 1:32; % compute for all pairs of channels
cfg.data_sel = 1:500... |
samplingRate=0.004;
Fmax=0.5/samplingRate;
nt=1000;
t=(0:nt-1)*samplingRate;
df=2*Fmax/nt;
f=(0:nt/2)*df;
F=10;
s=0.7*cos(2*pi*F*t);
S=fft(s);
A=abs(S/nt);
amp=A(1:nt/2+1);
amp(2:end-1)=2*amp(2:end-1);
phase=atan2(imag(S(1:nt/2+1)),real(S(1:nt/2+1)))*180/pi;
figure
subplot(2,1,1)
plot(real(S))
subplot(2,1,2... |
%[2014]-"Grey wolf optimizer"
% (9/12/2020)
function GWO = jGreyWolfOptimizer(feat,label,opts)
% Parameters
lb = 0;
ub = 1;
thres = 0.5;
if isfield(opts,'N'), N = opts.N; end
if isfield(opts,'T'), max_Iter = opts.T; end
if isfield(opts,'thres'), thres = opts.thres; end
% Objective function
fu... |
function [sssAlligator] = alligator(High,Low,period1,period2,period3)
%http://www.forextraders.com/forex-indicators/alligator-indicator-explained.html
%http://www.tradingsetupsreview.com/trading-alligator-by-bill-williams/
% Blue=13 days SSMA
% Red= 8 days SSMA
% Green = 8 days SSMA
% period1> period2>period3
... |
function K = uq_SVR_eval_K( X1,X2,theta, KernelOptions)
%UQ_SVR_EVAL_K returns the kernel matrix K given X and hyperparameters
% Detailed explanation goes here
% Kernel options
K_family = KernelOptions.Family ;
K_isIsotropic = KernelOptions.Isotropic ;
% K = nan;
% Consistency checks
if K_isIsotropic && length(the... |
function [grad] = loss_gradient(label, gram, w, lambda)
grad = 2*lambda*w - (gram') *(label.*(1-sigmoid((gram*w).*label)))/size(label, 1);
end
function [sig] = sigmoid(input)
sig = 1 ./ (1+exp(-input));
end
|
function Expre_regu = Get_regular_fitting_expre(Struct)
Struct_out = Struct;
% Substitute x
split_expre = strsplit(Struct.Expre,Struct.x_name);
Expre_regu = split_expre{1};
for i = 1:length(split_expre)-1
Expre_regu = [Expre_regu, 'x',split_expre{i+1}];
end
% Substitute y
split_expre = strsplit(... |
function coords = getLinSpacedPointsOnSquareGrid(n, distance)
if mod(sqrt(n),1) == 0
x = sqrt(n);
y = x;
else
error([num2str(n),' elements not possible. Only perfect squares.']);
end
coords = NaN(2,n);
counter = 1;
for i = 0 : x-1
for j = 0 : y-1
coords(1, counter) = i;
... |
function [x, y, z] = sHarmonic(l,m)
%%[x y z] = orbitalSTLmaker(l,m)
% l,m are quantum numbers
% [x y z] returns the xyz coordinates used for triangulation of the faces
%This program will generate a solid shell of a given orbital.
% More accurately, it will create a shell of a given spherical harmonic.
% p orb... |
function [ints,errs,header,orig,injectionEB] = B1integrate(fsn1,fsndc,sens,errorsens,orifsn,mask,orig,transm)
% [ints,errs,header,injectionEB] = B1integrate(fsn1,fsndc,sens,errorsens,orifsn,mask)
%
%
% injectionEB is 'y' if injection was between sample measurement and
% empty beam measurement, otherwise it ... |
function[modeled_data_OUT] = master_domain(obs_data, obs_kinetics, domains_in)
%% Need to switch this to take in data from obs_data and obs_kinetics
% Takes in observed data and models the Fcum, lnD/a2, and delta according to the given domain
% structure --> output variable described below
% data_in = observed data ... |
function [ mean_result ] = PCA_SVM_T1_new( task, Size_of_feat, KernelSVM, ...
fast, knn,selected_channels, number_sub_channel, size_of_sub)
%PCA_SVM_T1 analyse data
%==========================================
%Author: Uladzislau Barayeu
%Github: @UladzislauBarayeu
%Email: uladzislau.barayeu@ist.ac.at
%=============... |
function I_rec = Decompress(I_comp)
% Your decompression code goes here!
[height,width] = size(I_comp.X);
I_rec = zeros(height,width,size(I_comp.U,1));
for r = 1:height
for c = 1:width
I_rec(r,c,:) = I_comp.U(:,I_comp.X(r,c));
end
end
%for i=1:size(I_comp.U,2)
% i
% I_rec(find(I_comp.X == i),... |
% Written by Patrick Strassmann
% Analysis for Fixed-ratio behavioral task
slidingWindowSize = 19;
sigma = slidingWindowSize
alpha = slidingWindowSize/(2*sigma);
IPIcriterion = 20
collectData = 1
amplitudeAnalysis = 1;
burstCountsToAnalyze = 1:6;
plotSpikesAndPETHsSeparately = 1;
FR = 4;
signalStruct = struct;
varName... |
function [out]=fog_rectification(input) %#codegen
% Copyright 2017 The MathWorks, Inc.
coder.gpu.kernelfun;
% restoreOut is used to store the output of restoration
restoreOut = zeros(size(input),'double');
% Changing the precision level of input image to double
input = double(input)./255;
%% Dark channel Estimat... |
function sig = PreadSGN(fnm)
fid = fopen(fnm, 'r');
sig = fread(fid, 'float32');
fclose(fid); |
function pointC=calPosFromAngle(vectorAB,dist,angle,pointB)
% C
% >
% / |
% / |
% ---->--->
% A B D
if angle == 0
direction =0;
else
direction = angle / abs(angle);
end
angle = abs(angle);
cosAngle = cos(angle);
sinAngle = sin(angle);
vectorBD = dist * cosAngle / norm(vectorAB... |
function y=zfunp16(x)
% derivata prima funzione test zfunf16 in [-4,4]
y=11.*x.^10+8.*x;
end
|
% ISAPPROX - Estimates whether or not one array is approximately numerically equal to another.
%
% SYNTAX:
% b = isapprox(x, y)
% b = isapprox(x, y, format)
%
% OUTPUT:
% b: BOOLEAN
% A Boolean indicating whether or not the two inputs are approximately equal.
%
% INPUT... |
function [scaledDwn, scaledUp] = checkRescale(H, dwn, up)
%{
this function just counts how many times a resize was necessary
in TformSRT. Definitely a way to do this in the other function without
having to pretty much do everything twice but I'm not sure how to do so
when the output is already an array and very imp... |
function CarMovement
global x y
OrigLargeImage=imread('BirdsEye.jpg','jpg');
car=imread('Car.jpg','jpg');
car=imresize(car,.1);
car_temp=imread('template_car.jpg');
car_temp=imresize(car_temp,.1);
car_temp=imrotate(car_temp,100);
car=imrotate(car,100);
[m1,n1,k1]=size(car);
rr=[1,2];
Lu=[]; %look up table for butterfl... |
function [C] = cellzeros(C, matrixSize)
% [C] = cellzeros(C, matrixSize)
%
% Assign matrices of zeros the size of 'matrixSize' into the cell array C.
% C can also be a vector for the size of the cell array.
%
% Inputs:
% C A cell array to be filled with zeros or a vector
% specif... |
function [] = pssetpixels(p, c, t, l, b, r)
%PSSETPIXELS Set pixel data to the current layer in Photoshop.
% PSSETPIXELS(P) P is a H-by-W-by-C pixel matrix containing all the active
% channels (C), the height (H), and width (W) of the document. For an RGB
% document this would be a H-by-W-by-3 matrix.
%
% PS... |
function [normalLineX, normalLineY, tangentLineX, tangentLineY] = getCollideAxis(circle1, circle2, normalVector)
%Partie pour l'axe normal aux cercles
mNormalLine = normalVector(2,1) / normalVector(1,1);
pNormalLine = circle1.finalY - mNormalLine*circle1.finalX;
normalLineX = linspace(circle1.finalX, circle2.finalX);
n... |
clc
close all
clear all
%% Bakalářská práce
% Název: Segmentace ultrazvukových sekvencí
% autor: Jana Schwarzerová, učo: 186686
% Verze Matlab R2015b
%% Segmentace Narůstání oblastí
% ****************************Načtení dat**********************************
% ... |
%% HW 4.2.6
%% Initial-boundary-value Problem
% * $v_t = \nu (v_{xx} + v_{yy}) + F(x, y, t), (x, y) \in R, t > 0$
% * $v(x, y, t) = g(x, y, t), (x, y) \in \partial R, t > 0$
% * $v(x, y, 0) = f(x, y), (x, y) \in \bar{R}$
% where
% * $R = (0, 1) \times (0, 1)$
% * $F(x, y) = 0, f = 0, \nu = 1$
% * $g(0, y, t) = \sin t \... |
function [result,ptemp]=model_function2(t1,t2,t3,t4,v)
%设定变量
l=4.355;
tstp=0.5;
xstp=tstp*v;
hcrou1=1.15e-6;%固态升温
hcrou2=1.85e-6;%液态升温
hcrou3=4.851e-7;%降温
dp=0.15e-3;%零件厚度
%计算
maxSlope=0;
climb=0;
high=0;
peak=0;
atime=l/v;
n=uint16((atime-rem(atime... |
clc
clear
files = dir('*SEG_DOWN3X.AIM*');
dirName = 'DK0:[MICROCT.DATA.00004088.00029271]';
fid = fopen('rotateSegAim.csv','w');
[NUM,TXT,RAW]=xlsread('F:\tibial plateau scan information.xlsx','Condyle Rotation Adjustment','A2:H100');
fprintf(fid,'%s\n','$ipl');
for i = 1:length(files)
fileName = files(i).nam... |
function FlylabPlotAngleOverTime(dirspec, filespec)
% FlylabPlotAngleOverTime(dirspec, leafspec)
% Take a set of directories of .csv files (written by Flylab),
% and plot the mean angle trajectory, and the individual angle trajectories.
% This is used for viewing how the fly orientation changes over time.
%
% di... |
classdef NdgQuadratureFreeNonhydrostaticSolver3d < handle
%NDGQUADRATUREFREENONHYDROSTATICSOLVER3D 此处显示有关此类的摘要
% 此处显示详细说明
properties
% Second order partial derivative about nonhydrostatic pressure in direction x, $\frac{\partial^2 p}{\partial x^2}$
SPNPX
% Second order partial... |
fileName = 'C:\Users\Loukianos\Downloads\ENZYMES\ENZYMES_g292.edges';
inputfile = fopen(fileName);
W=[];
l=1;
k=1;
W=zeros(60);
while l<200
% Get a line from the input file
tline = fgetl(inputfile);
% Quit if end of file
if l>0
nums=strsplit(tline);
if length(nums)
W(... |
N1=[4,4];
N2=[9,9];
sinif1=repmat(N1,500,1)+randn(500,2);
sinif2=repmat(N2,500,1)+randn(500,2);
etiket1=ones(500,1);
etiket2=2*ones(500,1);
tumSiniflar=[sinif1;sinif2];
tumEtiketler=[etiket1;etiket2];
gscatter(tumSiniflar(:,1),tumSiniflar(:,2),tumEtiketler,'rb','+*');
model=fitcnb(tumSiniflar,tumEtik... |
function generalization_error = simple_validation(x,y,test_data_percent, train_function, predict_function, grade)
%SIMPLE_VALIDATION Summary of this function goes here
% Detailed explanation goes here
trn_data_length = round((length(x) * test_data_percent)/100,0);
data_indexes = randperm(length(x));
xtrn = x(data... |
clc
clear all
fprintf('the Newton-Raphson method\n\n');
Xi = input('Initial point = ? ');
tol_x = input('tolerance x = ');
tol_y = input('tolearnce y = ');
while(1)
Xu = Xi - fun(Xi) / pfun(Xi);
Yu = fun(Xu);
if(abs(Xu-Xi) < tol_x || abs(Yu) < tol_y)
root = Xu
break;
else
... |
function [dimA, dimB] = contractinds(ia, ib)
% contractinds - Find the contracted dimensions.
% [dimA, dimB] = contractinds(ia, ib)
% locates the repeated indices.
ind = find(ia(:) == ib).' - 1;
dimA = mod(ind, length(ia)) + 1;
dimB = floor(ind / length(ia)) + 1;
% slower than the automatic:
% [dimA, dimB] = ... |
classdef ConeOutline < handle
% CONEOUTLINE
%
% 30Dec2017
% --
properties (SetAccess = private, GetAccess = public)
closedCurve
coneTrace
end
properties (Constant = true, Hidden = true)
TAG_DEFAULT = 'cone';
end
methods
function obj = Co... |
function [sum] = add_seconds(original_time, seconds_to_add)
%% Update Seconds
temp_sec = original_time(6) + seconds_to_add;
if temp_sec >= 60
addMinute = floor(temp_sec / 60);
temp_sec = mod(temp_sec, 60);
else
addMinute = 0;
end
%% Update Minutes
temp_min = original_time(5);
if addMinute ~= 0
temp_min... |
%{
This is an implementation of the model described by Dupuy and Fivel
Implementation for a Lomer Lock
%}
clc; clear;
% Definition of important anonymous functions
Energy = @(theta, b, nu) (b.^2) .* (1 - nu .* cos(theta).^2) ./ (1-nu);
dEnergydTheta = @(theta, b, nu) (b.^2) .* (nu .* sin(2 .* theta)) ./ (1 - nu);
... |
function [outputArg1] = componentNames()
%COMPONENTNAMES Summary of this function goes here
% Detailed explanation goes here
outputArg1 = neqsim.util.database.NeqSimDataBase.getComponentNames;
end
|
function fm2()
% loading matched points:
load left_image_points;
load right_image_points;
[a b]=size(left_image_points);
% finding A matrix:
for i=1:a
x1=left_image_points(i,1);
y1=left_image_points(i,2);
x2=left_image_points(i,1);
y2=left_image_points(i,2);
%A(i,:)=[x1*x2 x... |
clear all
close all
% For particle filter %%%%%%%%%%%%%%
% sensor_update2.m
% ResampleParticles2.m
% motion_update.m
% (sysresample.m)
% InitAroundPose.m
% IsInBounds.m
% MCL_GetPoses.m
% MCL_Update.m
% Compute RMSE values
RMSE_EKF = zeros(3,1);
RMSE_UKF = zeros(3,1);
RMSE_PF = zeros(3,1);
RMSE_RBPF = zeros(3,1);
M... |
function ia_plot(level_difference,time_difference,direction_matrix,...
frq_axis,single_plane)
% function ia_plot(level_difference,time_difference,direction_matrix,...
% frq_axis,single_plane)
%
% IA_PLOT plots for a horizontal plane the interaural time difference and the
% ... |
c = [2 1];
A = [-6 10; 7 2; 4 -3; -2 -4; -2 2; 2 -1];
b = [17 28 16 3 3 19]';
% x = [-1; -1];
BaseIniziale = [5 6];
format compact
format rat
% mode = 'frombase'; %'fromx' o 'frombase'
maxiter = 4;
disp("######################### INIZIO #########################");
n_vincoli = size(A,1);
Base... |
function output = pNN50_20s(Name)
[rr,tm]=ann2rr(Name,'atr');
num = size(rr,1);
time = zeros;
j = 1;
for i = 1:num
if(rr(i)>1000)
time(j) = (rr(i)/5000);
j = j+ 1;
end
end
period = time(1, 1:20);
sum = 0;
for q = 1:19
if((period(q+1)-period(q))>50)
sum = sum + 1;
end
end
... |
function [trial, data] = GaborTrial(display, stimParams, data)
% trial = GaborTrial(display, stimParams)
numStimColors = display.stimRgbRange(2)-display.stimRgbRange(1)+1;
% We want to guarantee that the stimulus is modulated about the background
midStimColor = display.backColorIndex;
% display.gamma contains the gamm... |
clc
close all
fig = figure();
hold on
i = 1;
track = loadTrack('testTrack.mat',100,true);
car = TestCar([track.x(i);track.y(i);-30;1]);
n = 3; N = 12; dt = .5;
plot(track.x,track.y,'.r')
plot(track.bx,track.by,'.-k')
plot(track.yx,track.yy,'.-k')
his = [];
isLoopClosed = false;
totalTime = 0;
elapsedTime = 0;
pa... |
function [ image, descriptor, location] = ownSIFT( img, n )
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
% n: window size
image = imread(img);
I = single(image);
[location, descriptor] = vl_sift(I, 'WindowSIze' , n);
location = double(location');
descriptor = double(descriptor);
de... |
function flag = event_gradient_ss(t,y,yp,k2,thresh,component)
%y = 1 when the L2 norm of the gradient field is below thresh(1)
%y = 2 when the 2-norm of the time derivative yp is below thresh(2)
%note that y is in Fourier space.
%L2 norm of the gradient field is \int_{|| \nabla y(x) ||^2 dx} = \int_{|| k ||^2 |... |
X1 = load('Handheld_Front_Vito_X.mat');
Y1 = load('Handheld_Front_Vito_Y.mat');
X2 = load('Handheld_Front_2D_X.mat');
Y2 = load('Handheld_Front_2D_Y.mat');
X3 = load('Handheld_Front_PreVGG_X.mat');
Y3 = load('Handheld_Front_PreVGG_Y.mat');
X4 = load('Handheld_Front_Orig_X.mat');
Y4 = load('Handheld_Front_Orig_Y.mat')... |
%add two images - size should be the same
img1 = imread('img1.png');
img2 = imread('img2.png');
%same size
summed = img1 +img2;
%imshow(summed);
%lower the intensity in images
average = img1 /2 + img2 /2;
%imshow(average);
average2 = (img1 + img2) /2;
%imshow(average2);
% writing a function
% multiply by a scal... |
close all
clear all
% working DNN
clc
% nh = [60,40,30,20]; %ims AND cwru
% nh = [100,70,50,30]; %Air Compresser
% new architecture wider
nh = [60,50,40,20]; %ims AND cwru
% nh = [100,80,60,30]; %Air Compresser
epoch =1; % training epochs
mini_bat... |
function frequency_array_for_correlation = get_frequency_array_for_correlation(faxis, frequency_array)
% Purpose %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Make frequency array for correspondence of group id to frequency
% Just for experiment 3 (Sweep experiment)
%%%%%%%%%%%%%%%%%%%%%%%... |
clear all;
[original_audio, Fs, nbits] = wavread('C:\Users\AASHISH\Desktop\sound_test5.wav');
%----------------------------------------------------------------------------
x = original_audio;
h = fir1(5,2/32);
y = filtfilt(h',1,x);
wavplay(y,Fs); |
clear
tic
d=load('data_error.txt');
data=d(:,2);
N=length(data);
x=min(data):0.01:max(data);
L=length(x);
T=100;
for n=1:2 %baraye D1 va D2
Mn=zeros(L,T);
delta=zeros(1,T);
for t=1:T; %be ezaye tav haye mokhtalef D hara mohasebe mikonim
for k=1:L
j=0;
for i=1:... |
function [nDC, nDCH, nDCD, nHospital, inHospital, nICU, inICU, nDeaths, PD_Lockdown, INF, FinalState]=Simulate_One_Region(Region, TAU, ALPHA, INC_P, S_Scale, Factor, h_factor, i_factor, d_factor, h_stretch, i_stretch, Lag, ...
Start_Date, WALES_FLAG, ComplianceT, ComplianceO, Run_stop, nV_Beta, nV_Speed, Import_Da... |
function [cost,sched,risk,perf] = EO_fitness_fcn_multi(x)
%% EO_fitness_fcn.m
% This function takes as an input a vector [1 x N_INSTR] called x which
% contains the assignment of instruments to satellites following the format
% below:
% x = [Sat_of_instr1 Sat_of_instr2 ... Sat_of_instrN_INSTR]
% where Sat_of_instri are... |
function result = calc_diffusion(sigma_vals,time_vals)
% input: sigma_vals - sigma values, time_vals - according timestamps
% output: result - diffusion coefficient for given values
[~,m,~] = elr(sigma_vals(:).^2,time_vals());
result = m/2;
end
|
function draw( obj, varargin )
if nargin == 1
fphys = obj.fphys;
elseif nargin == 2
fphys = varargin{1};
end
% check the figure is created and not removed.
isFigureExit = ~isempty( obj.draw_handle ) ...
&& isvalid( obj.draw_handle{1} ) ;
if isFigureExit
for m = 1:obj.Nmesh
mesh = obj.mesh... |
function [ G ] = ppmwrite( input, outfilename, inbit )
%将一幅图像转换为单通道的PPM格式的图像
% input为输入的图像矩阵， outfilename为输出的图像，
% inbit为输入的图像的位精度，目前只能是8位或者16位，否则结果不正确。
% G作为函数输出，只是为了方便和产生的outfile图像进行对比，检验结果是否正确。
fid = fopen(outfilename, 'w');
[h, w, d] = size(input);
Imax=uint16(2^inbit);
fprintf(fid, 'P6\n');
fprintf(fid, '%d ... |
% 用矩阵方式实现求x=1-20000的函数sin(x/100pi)的值
function y = sinfun2(M)
x = 0:M;
y = sin(x ./ (100*pi));
end |
function [tankShape,ThetaRiseMax,Ntupes,Stube] = DesignTankShape(x,y,z,maxAllowableTempRise,pi,hvsCurrent,Req)
dt = 0.05;
It = 0.075;
TankDissipationArea = (2 .* x .* z)+(2 .* y .* z)+(x .* y ./ 2);
Pcu = 3 .* power(hvsCurrent,2) .* Req;
ThetaRiseMax = (pi + Pcu) / (12.5 .* TankDissipationArea);
if ThetaRiseMax <= max... |
function [NshapeS] = C3D8_El_Shape_Surf(NES,xi)
NshapeS(1) = (1-xi)/2;
NshapeS(2) = (1+xi)/2;
%NshapeS = NshapeS'; |
function [ T ] = initiate(n,m,t0 )
T=zeros(m,n);
for i=1:n
for j=1:m
T(i,j)=t0;
end
end
end
|
function [x1, x2, y1, y2] = value_yue_jie(x1, x2, y1, y2, pic_xsize, pic_ysize)
if x1 < 1
x1 = 1;
end
if x2 < 2
x2 = 2;
end
if y1 < 1
y1 = 1;
end
if y2 < 2
y2 = 2;
end
if x1 > pic_xsize
x1 = pic_xsize - 1 ;
end
if x2 > pic_xsize
x2 = pic_xsize;
end
if y1 > pic_ysize
y1 = pic_ysize - 1;
end
i... |
function [W,b] = updateW1(X,Y,eta,W,b,n,l)
% initialize the gradient of the weighting matrices and biases
nabla_W = cell([1,l-1]);
nabla_b = cell([1,l-1]);
for i = 1:l-1
nabla_W{i} = zeros(n(i+1),n(i));
nabla_b{i} = zeros(n(i+1),1);
end
% compute the gradient of the ... |
function gui = applyToAllMice(gui,action,varargin)
data = gui.allData;
inds = gui.allPopulated;
switch action
case 'add'
newStr = varargin{1};
case 'delete'
killStr = varargin{1};
case 'merge'
oldList = varargin{1};
newName = varargin{2};
toKill = varargin{3}... |
% im_labtop=imread('labtop.JPG');
% load Camera_data;
%
% extract_grid(im_labtop(:,:,1),15,15,fc,cc,kc,dX,dY);
% %
% load Plane
% TwoDpoint = [KK [0; 0; 0]]*[R_proj T_proj; 0 0 0 1]*[Tc_ext; 1];
% TwoDpointNorm=TwoDpoint/TwoDpoint(3)
% TestImage=zeros(size(I));
% TestImage(:,ceil(TwoDpointNorm(1)))=255;
% TestImage(c... |
function weights=Mmakeweights(edges,img,theta)
[m,n,k] = size(img);
% Calculate average Lab value of each pixel
Img(:,:,1)=img(:,:,1)';
Img(:,:,2)=img(:,:,2)';
Img(:,:,3)=img(:,:,3)';
input_pixels=reshape(Img, m*n, k);
img_lab = colorspace('Lab<-', input_pixels);
weights=exp(-(1)*sqrt(sum((img_lab(edges(:,1),:)-img_l... |
t1 = posixtime(datetime('now'));
a = 2;
b = 3;
c = a*b;
for i=1:10
j = 4;
end
t2 = posixtime(datetime('now'));
diff = t2-t1; |
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