text stringlengths 8 6.12M |
|---|
% Reads in data files and stores these variables to a .mat file
clearvars -except root_dir inflation_adj_flag winsor_flag;
% creating certificate for web access, extending timeout to 10 seconds
o = weboptions('CertificateFilename',"", 'Timeout', 15);
% sets current date time to retrieve current information
current... |
function [ MOV ] = TotalNMRB( Model_Ref, Model_Test, Pro_Test )
%[ MOV ] = TotalNMRB( Model_Ref, Model_Test, Pro_Test )
% As described by ITU-R BS.1387-1 Section 4.5.1
global debug_var
if debug_var
disp(' TotalNMRB');
end
Z = size(Model_Test.M,2);
N = size(Model_Test.M,1);
NMR = zeros(N,1);
for n = 1:N
NMR(n)... |
% load('particles_omega_spread_corr_Glisa140213_fc1h2.mat')
% load('../../data_tokamak/q_profile.mat', 'psi_rank_q1')
alphas_mm=alphas_mm_part;
phipos_outputG_wrap=wrap2pi(phipos_outputG);
omega_outputG=theta_outputG-phipos_outputG_wrap;
omega_outputG=wrap2pi(omega_outputG);
Ekin_avg=round(mean(Ekin_outputG(:,end))... |
function sOut = xSliceBool(sIn,sliceMode,dist_from_bottom, name)
if(strcmpi(sliceMode, 'lower'))
sliceMode = 'Lower Bit Location + Width';
if(dist_from_bottom < 0)
strError = strcat('When sliceMode is ''lower'', dist_from_endpoint must be non-negative; dist_from_endpoint = ', dist_from_endpoint);
... |
function mdpidx=ModDeeganPackel(th,w_vec)
% ModDeeganPackel computes the modified Deegan-Packel index from the set of winning coalitions.
%
% Usage: dpidx=DeeganPackel(th,w_vec)
% Define variables:
% output:
% mdpidx -- The modified Deegan-Packel index.
%
% input:
% th -- Threshold to pass a bill (positive ... |
%__________________________________________________________________________
%
% REEFMOD-GBR MAIN SCRIPT FOR CALIBRATION OF BLEACHING MORTALITY
% requires uploading the model in the workspace:
% /data
% /functions
% /outputs
% /settings
%
% Parameters tuned in the script f_single_reef_for_calibration_bleaching
% Yves-Ma... |
function [ newS ] = shuffle_positions( obj, S, dist_fun )
%% shuffle positions of struct S within grid
if ~isfield(S,'x') || ~isfield(S,'y')
error('x,y fields required.')
end
assert( all( size(S.x) == size(S.y) ) );
n = length(S.x);
assert( n > 1 );
if ~exist('dist_fun', 'var')
dist_fun = ones( obj.Nx, obj.Ny );
... |
function mParameter = OrderParameter(inputPattern,storedPattern,nBits)
tmpSum = 0;
for pBit = 1:nBits
tmpSum = tmpSum + (inputPattern(pBit)*storedPattern(pBit));
end
mParameter = tmpSum/nBits;
end |
function status = submit_files(login, password, method_http, filepath, submitFlag)
% This function constructs the system command line to call the java upload
% script to interact with RIRE website. The java script logs into the RIRE
% website, creates new method there, uploades the files and optionally
% submits ... |
function sercmd = SerialBatch( cmds )
%PARALLELBATCH combines different commands together (intercaling a "&&") in
%order to run them in serial way when they will be submitted to a terminal.
% - "cmds": a cell-array (whose size must be larger or equal to 2)
% containing the commands to run in a serial way.
% Chec... |
time_step_values=zeros(NB_PROCESS,1);
gamma_TAE_values=zeros(NB_PROCESS,1);
gamma_TAE_vD_values=zeros(NB_PROCESS,1);
gamma_TAE_local=0;
gamma_TAE_vD_local=0;
nTAE
TOROIDAL_FIELD_DIRECTION=sign(mean(mean(Bphi_XZsmall_map)))
PSI_CORE_SIGN=sign(psi_scale(1))
% PSI_STAR_SIGN=sign(psi_star_initial(round(0.5*size_r)))
% ps... |
%% read binary usgs file
fileHandle= fopen('./data/cup95RefEm.sli', 'rb');
cupLib = fread(fileHandle, [50, 38], 'single');
cupSpectrum = [1.990800, 2.000900, 2.010900, 2.020900, 2.030900, 2.040900, 2.050900, ...
2.060900, 2.071000, 2.081000, 2.091000, 2.101000, 2.111000, 2.121000, ...
2.130900, 2.140900, 2.1509... |
% Version: Oct. 2004
% Author : Chen Yanover
% Overloading size function for the sparse_cell class
%
% Modified by Hoi Wong (Mar 9, 2009)
function varargout = size(sc,varargin)
mat_size = size(sc.indMat, varargin{:});
if nargout<2,
varargout = {mat_size};
elseif nargout==2,
varargout = mat2cell(mat_size, 1, [1,... |
% Updates Contents.m of AT directories
% For ATROOT: Contents will include subdirectories
% For other subdirectories, policiy is defined in case by case
ATROOT = fileparts(atroot);
OLDDIR = pwd;
%Selects directories where to creat a Contents
listOfFolderNames={
fullfile(ATROOT,'atmat', 'atdemos'), ...
fullfil... |
function [qp]=zn2pi(input)
% [qp]=zn2pi(input)
% Ziegler-Nichols PI controller for processes of 2nd order.
% This function computes parameters of the controller (q0, q1, q2, p1, p2).
% Controller is based on trapezoidal method of discretization.
% Transfer function of the controller is as follows:
%
% ... |
function randomSeq = randdnaseq(N)
% returns a random dna sequence of length N
randnum = randi(4,[1,N]);
for x = 1:N
if randnum(x) == 1
randomSeq(x) = 'A';
elseif randnum(x) == 2
randomSeq(x) = 'G';
elseif randnum(x) == 3
randomSeq(x) = 'C';
elseif randnum(x) == 4
randomS... |
function [arrayMap electrodeXY electrodeImp] = neuroportArrayData(subjectName)
% [arrayMap electrodeXY electrodeImp] = neuroportArrayData(subjectName)
%
% Omar Ahmed, 2012
%
% This function loads in the original impendence values
% It searches for an excel spreadsheet named [subject].xls in the neuroport_mapping folde... |
%directory to read training data from
dir_train = 'lpr-mit-live-normal/';
list_train = dir(dir_train);
numSeqTrain = length(list_train)-3;
%directory to read anomaly data from
dir_test = 'lpr-mit-live-anomaly/';
list_test = dir(dir_test);
numSeqTest = length(list_test)-3;
A = [];
mapObj = containers.Map('KeyType'... |
function gen_curves(rows,cols,density)
%
%generate potential value curves
%
rw = gen_random_obs(rows,cols,density,25);
g2x = [2 5:5:45 50:10:100];
g2y(1:16) = 0;
g1x(1:400) = 0;
g1y(1:400) = 0;
for ri = 1:25
g1i = ri;
disp(sprintf('Density = %d%% World Number = %d Lookahead = 2',density,ri))
[w ... |
a = [1,2,3,4;5,6,7,8;9,10,11,12;13,14,15,16]
for row=1:3
for col= 1:3
if(row>=2&&row<4)
if(col>=2&&col<4)
a(row,col)=a(row,col)*0;
end
end
end
end
a |
function [crossSpec, x_pwspec, y_pwspec] = obmCrossSpec(x, y, dt, np, ovrlap)
% [crossSpec, x_pwspec, y_pwspec] = OBMCROSSSPEC(x, y, dt, np, ovrlap)
%
% inputs:
% - x: vector with evenly spaced data.
% - y: vector with same length as x, givent on the same grid.
% - dt: sampling period.
% - np:... |
function [hyp, hyp_orig, px] = hyper_pseudo(x, y, m, steps);
% Calculates the hyperparameters and pesudo inputs of a GP model
% (Requires Ed Snelson's 'SPGP_dist' library, assumed to be in the path)
%
% Input:
% x: training samples [n, d]
% y: target samples [n, e]
% m: number of pseudo samples
%
% Output:
% hyp: lo... |
% Ce script Matlab automatise la production de resultats
% lorsqu'on doit faire une serie de simulations en
% variant un des parametres d'entree.
%
% Il utilise les arguments du programme (voir ConfigFile.h)
% pour remplacer la valeur d'un parametre du fichier d'input
% par la valeur scannee.
%% Parametres %%
%%%%%%%... |
function plotSuppFig9(save_fig)
%PLOTSUPPFIG9 plot boxplots of threshold distributions within FDI
% subROIs
%
% AUTHOR : Aman Aberra
if nargin==0
save_fig = 1;
end
mat_dir = addPaths;
% Simulation settings
nrn_model_ver = 'maxH';
modes = [1,3,2]; % 1 monophasic, 3 half sine, 2 biphasic MagProX100 pulses
laye... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Hamza Bourbouh <hamza.bourbouh@nasa.gov>
% Notices:
%
% Copyright @ 2020 United States Government as represented by the
% Administrator of the National Aeronautics and Space Administration. All
% Rights Reserved.
%
% Disclaimers
%
% No Warranty:... |
function out = applyfun(this , fun , dataname , fields)
% out = applyfun(this , fun , dataname , fields)
wells = this;
if nargin < 4
fields = [];
end
if nargin < 3 || isempty(dataname);
dataname = getdataname(this,fields);
end
if nargin < 2
fun = @mean;
end
... |
function showSample(X, y, row_size, predicted_y)
rand_ix = randperm(size(X,1), row_size*row_size);
if (!exist('predicted_y', 'var') || isempty(predicted_y))
showData(X(rand_ix,:), y(rand_ix));
else
showData(X(rand_ix,:), y(rand_ix), predicted_y(rand_ix));
endif
endfunction
|
function [X,y] = randomData(data,sub_size)
%randomData Select random a subset of data from original data
% The data includes both features and y vals
% Get proper data set size
n_train = sub_size;
m_train = size(data,1);
% Randomly pick training rows for set i between [1,m_train]
rand_rows = round(rand(n_train,1)*(... |
classdef Deconvolution
%% DECONVOLUTION
% $Revision$
% was created $Date$
% by $Author$,
% last modified $LastChangedDate$
% and checked into repository $URL$,
% developed on Matlab 8.4.0.150421 (R2014b)
% $Id$
properties
end
methods
function this = Deconvolutio... |
function varargout = lab7(varargin)
% lab7 MATLAB code for lab7.fig
% lab7, by itself, creates a new lab7 or raises the existing
% singleton*.
%
% H = lab7 returns the handle to a new lab7 or the handle to
% the existing singleton*.
%
% lab7('CALLBACK',hObject,eventData,handles,...) calls the l... |
function R=ImportSurferGrd(filename)
% ImportSurferGrid reads an ASCII format surfer .GRD file and returns the
% data matrix in R. NaN values, which are written as 1.7308+38 in surfer
% are replaced with NaN to prevent crashing.
% Input:
% filename = name of the file to be read, including ".grd" extension
% ... |
% -*- matlab -*-
function corners = bkm_kd_mkcorners(lb,ub,dim);
D=length(lb);
if D==dim
p1 = zeros(D,1);
p2 = p1;
p1(dim) = lb(dim);
p2(dim) = ub(dim);
corners = [p1 p2];
else
corners = bkm_kd_mkcorners(lb,ub,dim+1);
corners1 = corners;
corners2 = corners;
corners1(dim,:) = lb(dim);
corners2(dim,... |
function [trapArea,OutTrueError,ErrorEst] = TrapezoidArea(x1,x2,y1,y2,fun,df2)
trapArea=(1/2)*abs(x2-x1)*(abs(y1)+abs(y2));
OutTrueError=abs(integral(@(x)fun(x),x1,x2)-trapArea);
ErrorEst=abs((x2-x1)^3/12*fminbnd(@(x) -1*df2(x),x1,x2));
end
|
% Variables expected to exist in workspace:
% inputpath - Full path to the folder with feature and label files.
% numcores - Scalar number of CPU cores to use.
% Add codes to path.
addpath(genpath('sthlm3_preprocessing'));
addpath(genpath('sthlm3_classification'));
% Settings.
settings.plottype = 'tsne';
se... |
function [num10] = bigger10
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
prompt = 'What is your Number?';
nEingabe = input(prompt);
if nEingabe == 10
num10 = 'Yeah it is ten';
else
if nEingabe > 10
num10 = 'bigger then ten';
else
num10 = 'lower then ten';... |
classdef copse_force_CPlandrel < copse_force
%CP land burial ratio doubles in permo-carboniferous (COPSE)
properties
%COPSE5_14
k_begin_Carb_yr = -355000000; % increase period begins
k_end_Carb_yr = -290000000; % decrease period begins
%The code then applies a ram... |
figureTitle = ['Observation on ' ...
' the importance of image phase'];
% figure(figureIndex),
figure('Name', figureTitle,'NumberTitle','off'),
plotIndex = 0;
plotRowSize = 1;
plotColSize = 3;
titleStr = ['image1 amplitude' newline 'With Image2 phase realOnly'];
plotIndex = plotIndex + 1;
imagePlot... |
function batch_fitting(roifile, protocol, model, outputfile, poolsize)
%
% function batch_fitting(roifile, protocol, model, outputfile, poolsize)
%
% This function does batch fitting to the voxels in an entire ROI created
% with CreateROI function.
%
% This function supports parallel computation on multiple CPUs by tak... |
% This code is used to extract skeletal block structures for a human posture
%
% Copyright by Meiyu Huang, 2018
% Qian Xuesen Laboratory of Space Technology,
% China Academy of Space Technology, Beijing, China
% Contact huangmeiyu@qxslab.cn
function [skeletalblocks,skeletalblocksdepth,skeletonjoints,skeletonjo... |
function [ found_food,re_seg ] = searchInSeg( seg_indx,squirrel1,n,thres )
global visual_run seg cache
found_food = 0;
re_seg = seg_indx;
seg_cent = [seg(seg_indx).c.x,seg(seg_indx).c.y];
squirrel1.move2Pos(seg_cent,100);
%%squirrel Moved to interested seg;
[pos_w,~]=seg(seg_indx).generateVertices(n,thres)
%this retu... |
function packet = getPacket(size, b)
%function packet = getPacket(size)
%Returns a random array of 1's and 0's of length size
packet = floor((2^b)*rand(1,size)); |
classdef (Enumeration) TYP_RES_ACTIVATION_S < Simulink.IntEnumType
enumeration
RES_UNACTIVATED(0)
RES_UNDER_ACTIVATION(1)
RES_ACTIVATED(2)
end
end
|
function [ normq ] = normq( q_in )
%UNTITLED Summary of this function goes here
% normalize a matrix of quaternions
normq = zeros(size(q_in));
for i = 1:length(q_in)
psi = q_in(4,i);
normq(4,i) = cos(psi/2);
normq(1:3,i) = sin(psi/2)*q_in(1:3,i)/norm(q_in(1:3,i));
end
end... |
%=========================================================================
%
% Simulation example to generate the sampling distributions the MLE
% and OLS estimator of a regression model with heteroskedasticity.
%
%=========================================================================
function hetero_sampling... |
function [ handle ] = LinSpectrogram( x, Fs, ms, contrast )
% [ handle ] = LinSpectrogram( x, Fs, ms, contrast )
% Create a magnitude spectrogram with linear frequency
% The size is set to be useful for 2 column papers.
% x = input waveform
% Fs = waveform sampling frequency
% ms = window period in ms
% contrast = ... |
%%
n = 300;
y0 = 36; % mean of prob distr deg
sigma_y = 4; % real width of prob distribution deg
%A = sqrt(2*pi)*sigma_y*56; % amplitude factor for prob distribution
sigma_exp = 1.5; % experimental error
y = normrnd(y0, sigma_y, n, 1); % prob distribution values
dy = normrnd(0, sigma_exp, n,1); % experimental erro... |
classdef logger
properties
end
methods
function obj = logger()
end
function log(obj,output)
fprintf(output);
end
end
end |
figure
hold on
plotHeight = 0;
lineWidth = 2;
rushOutLineColor = 'r';
PlotObstacle(simParam.environment.obstacle, plotHeight);
PlotLane(simParam.environment.lane, plotHeight);
plot( result.state(:,1), result.state(:,2), 'o' );
for itrTime=1%length(time);%1:20:80;%length(time)
trajectoryGlobalLattice=result.deb... |
data = exp(cumsum(randn(1000, 4)/10, 1));
%% Test Monthly
m = tseries(mm(2000, 1), data);
fm = apct(m);
actData = fm.Data;
expData = 100*((data(2:end, :)./data(1:end-1, :)).^12 - 1);
assert(isequal(actData, expData));
actStart = fm.Start;
expStart = mm(2000, 2);
assert(isequal(actStart, expStart));
%% Test Monthly... |
function circle(center,radius)
t=linspace(0,2*pi);
plot(real(center)+radius*cos(t),imag(center)+radius*sin(t));
axis('equal');
end |
function [ ] = vicsek(N,R,n,v_0,l,T )
% This function implements the Vicsek model for biological aggregations
% in the way it appears in the paper 'Topological
% Data Analysis of Biological Aggregation Models'.
%
%Input: N is the number of particles
% R is the interaction radius
% n is the noise
% ... |
% Graph of Neville theta functions.
% Fig 20.14 from Beebe - The Mathematical-Function Computation Handbook,
% Springer 2017
x = -8:0.01:8;
qq = [0.05, 0.25, 0.5, 0.75];
for n = 1:4
q = qq(n);
figure(n)
clf
hold on
plot(x,NevilleThetaS(x*elK(ielnome(q)),q),'LineWidth',1.5)
plot(x,NevilleThetaC(... |
function map = loadarraymapstruct
load arraymap
map.azimuths = azimuths;
map.dachannel = dachannel;
map.elevations = elevations;
map.mpxchannel = mpxchannel;
map.speakernum = speakernum;
map.termbank = termbank;
map.termnum = termnum;
|
function wt_modulationIndex(hilbertTouch,hilbertWhisking,selectedCells)
fieldsToCompare = fields(hilbertTouch.R_ntk.allTouches);
figure(23);clf
for g = 1:4
figure(23);subplot(2,2,g)
currTArray = hilbertTouch.R_ntk.allTouches.(fieldsToCompare{g});
currWArray = hilbertWhisking.R_ntk.(fieldsToCompare{g});
... |
clear;clc;ca
net = alexnet;
orig = webread('https://media.bakingmad.com/app_/responsive/BakingMad/media/content/Recipes/Tarts/Apple-tart/1-Apple-tart-rectangle-web.jpg?w=840');
im = imresize(orig,[227 227]);
prediction = classify(net,im);
imshow(orig); title(char(prediction));
% Get all layers of network
layers = ne... |
fid=fopen('gallery.txt','rt');
list=textscan(fid,'%s %d');
name=list{1};label=list{2};
count=1;
img_dir='/home/scw4750/github/IJCB2017/liangjie/zip/multipie_augment_90_pose/enlarge_multipie_stitch/gallery';
out_dir='/home/scw4750/github/IJCB2017/liangjie/alignment/multipie_augment_90/enlarge_mulitpie/gallery';
for i=1:... |
function [ points_image, new_err ] = minimisation_erreur_projection( points_monde, points_image )
%% Minimisation de l'erreur de projection d'un problème
%
% INPUT : [points_monde, points_image] où points_monde est une matrice
% N*3 de points dans le monde, et points_image est une matrice de N*2
% points dans le plan ... |
function [Vo]=DesOffSet(v)
#esto solo sirve si tenes asegurado q la funcion es simetrica respecto del 0
#en el caso de usarla para otra cosa del mismo estilo, habria q tocar el valor maximo de i
#lo q hace esto es dividir tu intervalo en intervalos mas chiquitos y a cada uno los centra respecto del 0
#restandole el... |
function [dX] = plant_TS_X_q(t, X, U, X0, U0, A, B, n, U0_glob, activ)
%fuzed by U(1)
% n > 1
dX = [0; 0];
act_sum = 0;
for i = 1 : n
if i == 1
act_sum = act_sum + activation(activ(1,i), activ(2,i), X(2), -inf);
elseif i == n
act_sum = act_sum + activation(activ(1,i), activ(2,i), X(2), inf);
... |
function [score] = likelihood(a, b, p, Xtest)
[N1,T] = size(Xtest);
[K,M] = size(b);
stemp = zeros(N1,1);
Alpha = Forward(a, b, p, Xtest);
for n =1:1:N1
atemp = Alpha{n,1};
for i = 1:1:K
stemp(n,1) = stemp(n,1) + atemp(T,i);
end
stemp(n,1) = log(stemp(n,1));
end
score = stemp;
end |
function [pm,chi2,reshist] = findLSmin_lite(cfun, p0, varargin)
%[pm,chi2,reshist] = findLSmin_lite(cfun, p0, varargin)
%[pm,chi2,reshist] = findLSmin_lite(cfun, p0, delta_p)
%[pm,chi2,reshist] = findLSmin_lite(cfun, p0, delta_p, LMoption)
%This is a wrapper of the least square code "lemafit.m" (X. Huang, 2003) which i... |
clear all ; close all
[tetanic,freq1] = audioread('C:\shared\sounds\Tetanic_13Hz_1000Hz_-6dBFS_0.05s.aiff');
[hz750,~] = audioread('C:\shared\sounds\750hz_sinwave_50ms.aiff');
[hz1000,~] = audioread('C:\shared\sounds\Single_sound_1000Hz_-6dBFS_0.05s.aiff');
tetanic(end:end+1100) = 0;
nrchannels = 2;
... |
function model = testUserParamsToMatrix()
%TESTUSERPARAMSTOMATRIX Test for userParamsToMatrix
%
%See also userParamsToMatrix
rng(100, 'twister')
model = getTestData(true);
userId = 1;
u = getUserParams(userId, model);
[Xres, index] = userParamsToMatrix(u, userId, model);
X = getUserData(userId, model);
assert(all(all(X... |
clear; clf;
% Introducerea punctelor definite
% - vectorul x cu abscisele punctelor
x=0:5;
% - vectorul y cu ordonatele punctelor
y=[0 0.5 4.5 0 2 0];
% Generarea vectorului xx cu pasul fin
xx=0:0.1:5;
% Reprezentarea grafica cu subplot-uri
h=subplot(2,2,1)
% Precizarea positiei si m... |
function [codeBook, compressionRatio, spaceSaved, timeElapsed, entropy, T] = dynamicHuffman(charcount, alphabet,message,file)
%% Setup
% Expects charcount from souceCodingAlgo.m
% Sort ascii codes by their frequency
[codeFrequency, ~] = sort(charcount,'descend');
nonZeroElements = length(find(codeFrequency));
sortedCod... |
function [] = Q9d()
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
[array_1,array_2]=Q7();
n=5;
sum_avg_degree_1 = 0;
sum_avg_degree_2 = 0;
for i=1:20
sum_avg_degree_1 = sum_avg_degree_1 + ((array_1(i)*2)/n);
sum_avg_degree_2 = sum_avg_degree_2 + ((array_2(i)*2)/n);
... |
function x=Katz(adj)
x = (eye(n)-(beta/max_eig)*adj)\ones(n,1);
% http://guettel.com/rktoolbox/examples/html/example_networks.html
|
function tune = intfft(X,varargin);
%INTFFT Calculates the tune from interpolated FFT of the trajectory.
% INTFFT(X) X must be a column vector.
% If X is a matrix - each column is treated as
% a separate trajectory
% INTFFT(X,GUESS,DELTA) searches for peaks in the FFT spectrum
% only within the range (X-DELTA ... |
function [y] = fFourthDerivadaDF(f,x,h)
% Esta funcion encuentra la PRIMERA DERIVADA mediante la ecuación:
% f'(x0) = (-f2+8f1-8f(i-1) +f(i-2) )/12h
% PARAMETROS DE ENTRADA
% (f) = 3*x.^4+5*x.^3-3*x.^2+8*x-12
% (x) = valores del eje x
% (h) = numero de incremento
% PARAMETROS DE SALIDA
% [... |
% INTERSECT_OTHER Given a triangle mesh (V,F) and another mesh (U,G) find all
% pairs of intersecting faces. Note that self-intersections are ignored.
%
% [IF] = intersect_other(V,F,U,G,'ParameterName',ParameterValue, ...)
% [IF,VVAB,FFAB,JAB,IMAB] = intersect_other(V,F,U,G,'ParameterName',ParameterValue, ...)
%
% Inp... |
% Clear workspace and command window
clear, clc
format long
% Set the loop variable
loop = true;
% Ensures that the menu reopens when finished with subprogram
while loop
% Opens dialogue box
answer = questdlg( ...
'Please select an option', ...
'SIMION Monte Carlo Simulation', ...
'Create Dat... |
function WindowCoeff = WindowSelect( WindowType,Length )
%UNTITLED2 此处显示有关此函数的摘要
% 此处显示详细说明
if Length<1
error(message('Error! Invaild Input Length @ Function:"WindowSelect.m"'));
end
if strcmp(WindowType,'Hanning')||strcmp(WindowType,'hanning')||strcmp(WindowType,'Hann')||strcmp(WindowType,'hann')
WindowCo... |
% written by professor Jay McClelland
function [ choice ] = choose(strengths)
%choose one of n alternatives according to it's strength
% if any(strengths == Inf)
% % if the strength for some elements are INF, just randomly pick one
% choice = find(strengths == Inf);
% if numel(choice) > 1
% ... |
%% -- FUNCTION TO OBTAIN THE MODEL HISTOGRAM AND THE AVG DISTANCE -- %%
function [ avgskin, avgback, PS_avg, PB_avg ] = avg(skin2D,back2D,im_num)
% - DECLARATION OF VARIABLES - %
avgskin = zeros(255,255);
avgback = zeros(255,255);
Pskin = 0; Pback = 0;
% - CALCULATION OF THE AVERAGE HISTOGRAM - %
for i = ... |
%% Financial Model
%% Variables
M = zeros(1,51); % Money generated by electricity
P = zeros(1,51); % Profit
C = 0.14169; % Average price of electricity in Ontario is $0.14169/kWh
I = 1.0142; % Average annual increase of electricity price is 1.42%
S = 871.39; % Money saved annually for... |
function f = yellowSquare(~)
%%%%%%%%%%%%%
% Build Image
%%%%%%%%%%%%%
% top left
f1 = false(128,128);
% top right
% % % Gives yellow scales
f21 = 1:128;
f22 = f21+1;
f21 = mod(f21,2);
f22 = mod(f22,2);
f2 = repmat([f21;f22],64,1);
% % does not give yellow scales
% z = binarySquare(32);
% f2 = repmat(z,4,4);
% bo... |
function [docNode]=addGeometryLevel_TXT(docNode,FEB_struct)
%%
disp('Adding Geometry level');
rootNode = docNode.getDocumentElement;
geometryNode = docNode.createElement('Geometry');
geometryNode = rootNode.appendChild(geometryNode);
%% Adding node field
disp('----> Adding node field');
parent_node ... |
function rgb = brown
rgb = [0.64705, 0.1647, 0.1647];
end |
% Assignment 3
% Maarten Boon 10764399
function h = hough ( im , Thresh , nrho , ntheta )
% HOUGH
%
% Function takes a grey scale image , constructs an edge map by applying
% the Canny detector , and then constructs a Hough transform for finding
% lines in the image .
%
% Usage : h = hough ( im , Thresh , nrho , nthet... |
%Load GUI data for desired subject and training day
%Change lengths of for loops to fit size of GUI Data
FirstThird = {}; LastThird = {}; PostSleep = {};
for i=1:40
FirstThird = [FirstThird; {data{i,:}}];
end
for i=81:120
LastThird = [LastThird; {data{i,:}}];
end
for i=121:180
PostSleep = [PostSle... |
function val = cone_filter_inv_right_cone(X, leaflet)
%
% Inverts the cone filter at X
%
% Input
% xi, eta
% Leaflet Struct with cone filter parameters
%
% Output
% X Vector of components
%
% Copyright (c) 2019, Alexander D. Kaiser
% All rights reserved.
%
% Redistribution and ... |
%Generalization error vs size of training set for naive Bayes classifiers
%and logistic regression. Code by Matthew Dunham
domain = 0:0.01:10;
NB = @(x)x.^(-0.5);
LR = @(x)(8./(x.^0.8))-2;
linewidth = {'LineWidth',3};
hold all;
set(gca,'XTick',[],'YTick',[],'FontSize',16);
axis([-0.1,10,-1,10]);
plot(domai... |
function [idx,stats] = find_most_violated(W, X, Y, stats)
max_violation = -Inf;
num_viol = 0;
num_constraints = 0;
total_violation = 0;
margin = 0;
for i = 1:size(X, 1)
for j = 1:size(X, 1)
for k = 1:size(X,1)
if ((Y(i) == 1) && (Y(j) == 1) && ... |
%% vidtracks.m description
%
%**Update May 06, 2009**
%
%Function to take a 3D image array with frame indicies to a 4D image array
%in color with frame indicies keeping the original images in monochrome
%while adding colored pixels following the objects in the images and
%(optionally) leaving 'trails' or the col... |
% [Results] = CSC_CellCounting(Mask, opts)
% is a function of the CSC package that counts cells in a binary image,
% where the foreground represents segmented cells.
% This function implements a counting process that is based on distance
% transform and curvature approximation. For mor details about this
% al... |
% Resolución de un Campo de Direcciones
% FECHA: 18 de Mayo 2021
% ED: y' = sin(x+y)
clc, clear all;
f = inline('sin(x+y)', 'x', 'y');
[x, y] = meshgrid(-3:0.5:3, -3:0.5:3);
[n, m] = size(x);
dx = ones(n,m);
dy = f(x, y);
quiver(x, y, dx, dy) |
function count = count_AC(A_C,i,j)
[a,~] = size(A_C);
count = 0;
for ii=1:a
if A_C(ii,1) == i && A_C(ii,2) == j
count = A_C(ii,3);
end
end |
function [LH, probSpike, V, mean_predictedSpikes, RPE] = ott_gRW_RPE_curr(startValues, spikeRate, rewards, timeLocked)
% firing rate only correlates with current reward; no real learning happens
slope = startValues(1);
intercept = startValues(2);
sigma = startValues(3);
rateParam = slope*rewards + intercept;
... |
%% script_name
% The |script_name.m| script ... TODO: Add description
%
% NOTES:
%
% NECESSARY FILES AND/OR PACKAGES: TODO: Add necessary files
%
% +somePackage, someFile.m
%
% AUTHOR:
% FULL_NAME (WEBSITE)
%
% VERSION:
% Created DD-MMM-YYYY
%%
|
function [s,fval,exitflag] =...
main_single_optimization(objective,...
A_eq, b_eq, A_ineq, b_ineq, lb, ub)
% This script transfer the respective input variables into an optimization
% problem and sets the options of the optimization problem.
%% check lower and upper bounds - set to default values
if i... |
function particle_pose = particle_filter(no_of_particle, particle_pose,U,dt,feature,Landmark_pos, C)
particle_weight = ones(1,no_of_particle);
for j = 1:no_of_particle
%particle new position
particle_pose(:,j) = sample_motion_model_velocity(particle_pose(:,j), U, dt);
... |
%takes in a file name and the desired columns from the file in an array
%returns the data from the specific columns of the file
function data=txt2mat(fname,cols)
data=textread(fname,'','headerlines',21);
data=data(:,cols); |
function [index] = findIndices(vector,target)
% Finds the index of a target value in a vector
y=1;
index=0;
% establish array 'index' of 0 values
for i=1:1:(length(vector))
if vector(i)==target
index(y)=i;
% first value of array is i
y=y+1;
% next value of array is the next i
end... |
function Q = nevilles_mod(xpts,ypts,xeval)
% Vandana Anand
% MA 3457 / CS 4033
%Homework 2 Problem 3
%
% Function using Neville's method to generate Lagrange interpolating
% polynomials at xeval that recursively pass through the points (xpts,ypts)
%
% Input: xpts = x points
% ypts = y points = f(xpts)
% ... |
function candycrush
%CANDYCRUSH to run the eponymous game
%
% 2019, Alexander Heimel
n_x = 6;
n_y = 8;
n_c = 5;
board = zeros(n_y,n_x,'uint8');
figure
show_board(board,n_c)
changed = true;
while changed
changed = false;
[board, changedg] = apply_gravity(board);
[board, changedf] = fill_top_row(board,n_... |
function load_documentation_figure(main_figure)
pos_fig=[0.2 0.1 0.6 0.8];
doc_fig=new_echo_figure(main_figure,...
'Units','normalized',...
'Position',pos_fig,...
'Name','ESP3 Documentation',...
'Resize','on',...
'Tag','esp3_doc',...
... |
%%% Preprocessing script for MNI dataset
clear;
% INPUT the names of the files into the structure for NIAK
path_data = '/sb/scratch/pbellec/mni_mci/';
path_mnc = [path_data 'raw/'];
csv_file = [path_mnc 'model_mni_mci.csv'];
[tab,labx,laby]=niak_read_csv(csv_file);
nb_subjects = length(labx);
for num_subj = 1:nb_s... |
function [P_4, T_4] = fourth_action(P_0, T_3, angle)
%function rotates a cube for 90 degrees of the world coordinate
%system on its own Z axis
%rotation matrix
T_rot = [cosd(angle) -sind(angle) 0 0;
sind(angle) cosd(angle) 0 0;
0 0 1 0;
0 0 0 1];
... |
function Model = Model_Suspended_Load(id,dt,type,initial,varargin)
% model class demo : quaternion model with 13 states
if ~isempty(varargin)
Setting = varargin{1};
end
Model.type="Suspended_Load_Model"; % class name
Model.name="load"; % print name
Setting.dim=[25,4,16];
Setting.input_channel = ["f","M"];
... |
%%
% \documentclass[12pt]{article}
%
% \title{ODEbox: A Toolbox for Ordinary Differential Equations\\
% Getting Started with the ODEbox}
%
% \author{Matthew Harker and Paul O'Leary\\
% Institute for Automation\\
% University of Leoben\\
% A-8700 Leoben,
% Austria\\
% URL: automation.unileoben.ac.at\\
% \\... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.