text stringlengths 8 6.12M |
|---|
function bw2=adaptivethreshold(im,ws,C,m)
% threshold mean-C or median-C to the image im.
% ws is the local window size.
% m is 0 or 1, m=0 mean(default)m=1 median.
if (nargin<3)
error('You must provide the image im, the window size ws, and C.');
elseif (nargin==3)
m=0;
elseif (m~=0 && m~=1)
error('m ... |
%% Use before the algorithm starts to run in loops
function [bAddLegend, hPrev, prevLegendNames, curLegendName] = updateLegend(curLegendName)
allLegendNames = getAllalgosNames();
arg = cell(0);
sz = size(allLegendNames,2);
i = 1;
for nm = allLegendNames
arg(end+1) = {'DisplayName'};
... |
function varargout = dple_n_in(varargin)
%DPLE_N_IN Get the number of QP solver inputs.
%
% int = DPLE_N_IN()
%
%
%
%
[varargout{1:nargout}] = casadiMEX(844, varargin{:});
end
|
function [bestc , bestg , bestcv] = gridSearch(filepath)
addpath([ pwd '\..\Libs\libsvm\matlab']);
[label_vector, instance_matrix] = libsvmread(filepath);
fprintf('grid search for : %s \n', filepath);
bestcv = 0;
for log2c = -1:5,
for log2g = -4:4,
fprintf('starting %g %g \n', log2c, log2g);
cmd = ['-v 5 -c... |
function er = one_vs_one_svm( train_x, train_y, test_x, test_y, c )
% 1对1的方法实现多分类svm
% 作者：王鹏举
% 日期：2017年6月3日
[~, d] = size( train_x );
[test_num, n] = size( test_y );
weight = zeros( d, n-1, n );
bias = zeros( 1, n-1, n );
yy = zeros( test_num, n-1, n );
%% 构造n*(n-1)/2个svm分类器
for i = 1 : n... |
function [y_est, var_est] = my_gmr(Priors, Mu, Sigma, X, in, out)
%MY_GMR This function performs Gaussian Mixture Regression (GMR), using the
% parameters of a Gaussian Mixture Model (GMM) for a D-dimensional dataset,
% for D= N+P, where N is the dimensionality of the inputs and P the
% dimensionality of the outputs.... |
function test = adddashes(string, lengthseq)
% Adds required dashes to a sequence where there are only white spaces.
% lengthseq = length(sequence);
% Usefull when concatenating multiple short sequences in specific
% positions.
c = [find(string == 'A')'; find(string == 'C')'; find(string == 'G')'; find(st... |
% load chet baker
% clear all workspaces
clear all;
% clear command window
clc;
I = imread('ChetBaker.png');
imshow(I);
hold on;
% plot(36, 36, 'g+'); %TL
% plot(280, 65, 'g+'); %TR
% plot(280, 290, 'g+'); %BR
% plot(36, 300, 'g+'); % BL
% 430 853
p1 = [36, 36]; p2 = [380, 65]; p3 = [280, 290];
q1 = [1, 1]; q2 = ... |
function p = predict(Theta1, Theta2, X)
m = size(X, 1);
num_labels = size(Theta2, 1);
p = zeros(size(X, 1), 1);
p1=sigmoid([ones(m,1) X]*Theta1');
p2=sigmoid([ones(m,1) p1]*Theta2');
[a,p]=max(p2,[],2);
end
|
function[distance] = dist(x1,y1,x2,y2)
distance=sqrt((x1-x2)^2 + (y1-y2)^2);
|
function deglazed_imgs = deGlaze()
glaze_images = 'data/list/test_split/test2_hlight_selected.txt';
fileId = fopen(glaze_images, 'r');
files = {};
tline = fgetl(fileId);
files{end + 1} = tline;
while ischar(tline)
tline = fgetl(fileId);
files{end + 1} = tline;
end
fi... |
function Score = GD_cal(PopObj,PF)
% <metric> <min>
% Generational distance
%--------------------------------------------------------------------------
% The copyright of the PlatEMO belongs to the BIMK Group. You are free to
% use the PlatEMO for research purposes. All publications which use this
% platform or any co... |
%%% Script to load, epoch data that's events has been renamed
clear;
clc;
%open and load eeglab in matlab
[ALLEEG EEG CURRENTSET ALLCOM] = eeglab;
% this tracks which version of EEGLAB is being used, you may ignore it
EEG.etc.eeglabvers = '14.1.2';
% EEG data directory
datadir = '/home/ildiko/Desktop/kurvaanya... |
%% draw_rollout_uav.m
% *Summary:* Script to draw a rollout of the uav
%
% Copyright (C) 2008-2013 by
% Marc Deisenroth, Andrew McHutchon, Joe Hall, and Carl Edward Rasmussen.
%
%% High-Level Steps
% # For each time step, plot the observed trajectory, the applied torques,
% and the incurred cost
%% Code
if j > 0
... |
% Script for Example 3.3
format long g
[x,n] = bisect('fex3',-10,10,fex3(-10),fex3(10),1.e-10) |
%function [sens_predict, spes_predict, accuracy,sensitivity,specificity,PPV,NPV,MCC ] = myclassifysvmROC_LOOCV_new_pro( X_train,X_test,T,C_value,g_value)
function [sens_predict, spes_predict,mean_accu,mean_sens,mean_spes,mean_ppv,mean_npv,mean_mcc]= myclassifysvmROC_LOOCV_new_pro( X_train,X_test,T,C_value,g_value)
% Le... |
function name = tName(varStr,varVal,headStr)
N = length(varStr);
name = headStr;
for i = 1:N
name_add = [varStr{i}, ' = ', num2str(varVal{i},3)];
name = [name name_add ', '];
end
name = name(1:end-2);
end |
classdef Particle
%PARTICLE Represents a particle
% Particle has different methods to assign and retrieve values and
% handle the right behaviour. There are weight functions and sensor
% data for every particle.
properties
Weight;
X;
Y;
Phi;
SensorL... |
function [R,P_EQ,A]=hummer_szabo_clustering_A(K,INV_K, P_eq, A)
% Variable names in upper case correspond to the reduced system. Variable
% names in lower case correspond to the full system.
[n, ~] = size(K);
num_of_clusters=size(A,2);
P_EQ=zeros(size(A,2),1);
for i=1:size(A,1)
for j=1:size(A,2)
... |
function PlotPareto(rep, func_name, true_pf, target_region)
Cost = [rep.Cost];
plot(Cost(1, :), Cost(2, :), 'r*');
hold on
if strcmp(func_name, 'zdt3')
if length(true_pf) == 100
sec = [19 24 20 19 18];
else
... |
%MIT License
%Copyright (c) 2019 Sherman Lo
clearvars;
close all;
this = DefectDetectAbsFilterDeg120();
this.run();
this.printResults();
close all;
this = DefectDetectSubRoiAbsFilterDeg120();
this.run();
this.printResults();
close all;
this = DefectDetectSubRoiAbsFilterDeg30();
this.run();
this.printResults();
clos... |
[ret,warn] = loadlibrary('../lib/liblinear_solvers','../include/linear_solvers.h');
A = sprand(n,n,1);
n = 300;
tests = 1000;
lpX = libpointer('doublePtr',zeros(n,1));
rhs1 = ones(n/2,1);
rhs2 = zeros(n/2,1);
rhs = [rhs1;rhs2];
ret = calllib('liblinear_solvers','loop',lpX,rhs,n);
err ... |
function [x, b] = phistalign(x0, b0)
% % function [x, b] = phistalign(x0, b0)
% % histogram values in x0, with bin *edges* as per b0
% % and represents counts as percentege of total values
if nargout
[x, b] = phistm(x0, b0, [1, 1, 0]);
else
phistm(x0, b0, [1, 1, 0]);
end;
|
function [res] = ispresentinset(x,y,z,sepset)
%this function tests if z is present in the separating set of x and y
%usage
% ispresentinset(x,y,z,sepset)
sepsetxy = sepset{x,y};
% size(sepsetxy,2)
% size(z,2)
if size(sepsetxy,2) < size(z,2)
res = 0;
elseif size(sepsetxy,2) > size(z,2)
for i = 1:size(seps... |
function loop_ET_blank
S = load('ET4_starts_subset');
%3 seconds of blankness...
blank_trace = zeros(1, 30);
blank_sr = 10;
nICS = size(S.gL,1);
data = struct('spikes', cell(1,nICS), 'which', cell(1,nICS), 'gL', cell(1,nICS), 'vL', cell(1,nICS));
total_start = ... |
function optical_resources_arr = wrTransportUnitInOptChannel(counter_transport_unit, optical_resources_arr, this_node, i, max_num_tr_units_iteration)
%%% determination the number of transport unit per this iteration for this node %%%
local_counter = size(counter_transport_unit, 1);
%%% we start writing transport unit f... |
function [X, err] = solveSistLUP(A, b)
[P, L, U, ~] = factLUPivotaje(A);
n = length(A);
aux = size(b);
if aux(1) > aux(2) %Comprobando si b es un vector fila o columna
y = b;
elseif aux(2) > aux(1)
y = b';
else
error('b es una matriz cuadrada, no un vector');
... |
%-------------------------------------
% function yp = LoscarDif10(t,y)
% provides difequations
%
% file: LoscarDif10.m
%
% LOSCAR Model: Long-term Ocean-atmosphere-Sediment
% CArbon cycle Reservoir Model
%
% ocean box model (+1 for atmosphere)
%
%
% updates:
%
% 07/06/08 A few comments added
%
% 02/06/08... |
classdef Filters
% FILTER creates four filters and contains the class function to plot
% the filter response and filtered signals
properties
LPF
HPF
BPF
BSF
end
methods(Static)
% design_filters() creates a structure that conta... |
%@(#) getcycles.m 1.4 98/01/13 07:55:00
%
function [cycles,efph]=getcycles(unit)
if nargin <1,
unit=findreakdir;
end
if length(find(unit=='/'))==0,
unit=['/cm/',unit,'/'];
end
reakdir=unit;
opyear=[reakdir,'fil/op-year.txt'];
fid=fopen(opyear,'r');
efph(1)=fscanf(fid,'%f',1);
ord=fscanf(fid,'%s',1);
cycles(1... |
n = [ 4, 8, 16, 32, 64, 128];
abs_err = zeros(size(n));
I = exp(0) - exp(-0.8);
for i = 1:length(n)
abs_err(i) = abs(trapezoid('exp_neg', 0.0, 0.8, n(i)) - I);
end
loglog(n, abs_err, 'x')
grid on
title('Trapezoidal Error change by n')
% commeent
% As the n value doubles, the error is reduced to a quarter. |
function [ypred_withGround, ypred_noPL] = mophological(ypred, wsl, las, medianFilterSize, bwareaopenSize)
% MORPHOLOGICAL PROCESSING FOR FOREST TYPE IMAGE
% apply median filter to reduce noise, display output
ypred_medFilter = medfilt2(ypred,[medianFilterSize,medianFilterSize]);
% use BWareaopen to remove areas sm... |
%%% Code for meshing
function feaout=init(feain)
feaout=feain;
disp('Generating initial mesh...');
[m,n]=size(feaout.object);
p=[];
for i=1:n
p=[p;feaout.object(i).bx feaout.object(i).by];
end
%sort points
[m,n]=size(p);
r=[];
err=1e-12;
for i=1:m
for j=i+1:m
if(abs(p(i,:)-p(j,:))<err)
... |
function s= checkerboard(n,m)
if mod(n,2)==0
s = zeros(m,n);
s(1:2:end)=1;
s=s';
if mod(m,2)==0
for i=2:2:n
s(i,1:end)= [0,s(i,1:end-1)]
end
end
else
s = zeros(n,m);
s(1:2:end)=1;
end
|
function m4_week2_task2()
%CONFIG PARAMETERS
param.gaussianColor = false;
param.alpha = 0.25;
param.maxAlpha = 5;
param.minAlpha = 0;
param.minP = 0;
param.maxP = 1;
param.pStep = 0.1;
%Get the Datasets
datasets = dir('Dataset/');
datasets = datasets(find(vertcat(d... |
function dp = backprop(dz,w,p,z,param)
%CONVWF.BACKPROP Backpropagate derivatives from outputs to inputs
% Copyright 2012-2015 The MathWorks, Inc.
dp = convn(dz,w,'full');
end
|
function Mt = freePrecession(M0,t,delw0)
R = [exp(1i*delw0*t) 0 0;
0 exp(-1i*delw0*t) 0;
0 0 1];
Mt = R*M0;
end |
function HadCRUT = s1a1preparehadcrutmonthly(filePath)
%% Import data from text file.
% Script for importing data from the following text file:
%
% /Users/teda/Drive/Research/Data/HadCrut/HadCRUT.4.6.0.0.monthly_ns_avg.txt
%
% To extend the code to different selected data or a different text file,
% generate a funct... |
clc,clear;
f = @(x)sin(x);
x0 = pi*rand(21,1);
x1 = pi*rand(21,1);
x1 = sort(x1);
x0 = sort(x0);
f0 = feval(f,x0);
f1 = feval(f,x1);
figure;
hold on;
subplot(1,2,1);
hold on;
scatter(x0,f0);
y = cubicspline3(f,x0,x0);
title("周期边界情况");
xlabel("x");
hold off;
subplot(1,2,2);
hold on;
pp = csape(x0... |
function PV = ProbabilityVector(Data,States)
N = length(Data);
%
iter = 0;
PV = zeros(length(States),1);
for istate = States'
iter = iter + 1;
PV(iter) = sum(Data == istate)/N;
end
end |
function plot_fast_marching_3d(W,S,path,start_points,end_points, options)
% plot_fast_marching_3d - plot the result of the fast marching.
%
% plot_fast_marching_3d(W,S,path [,start_points,end_points, options] );
%
% If you provide W, path is assumed to lie in [1,n]^3 where n=length(W).
% Path can be a cel... |
function [target, stimulus] = generate_frame(image, p)
global w
global params
%create a random array of grayscale values
stimulus = 255*rand(size(image));
%create an array with p ones and the rest zeros
p_mask = p*ones(size(image));
take_image_value = binornd(1,p_mask)>0;
%change these pixels to target pixels
stimu... |
% same as part a .Only changes in the amount of data and calculation of
% precision,recall and F-score
words = importdata('vocabulary.txt');
stoplist = importdata('stoplist.txt');
train =importdata('train.data');
train_label = importdata('train.label');
valid = find(~ismember(words,stoplist));
valid_train = fi... |
function result = directionsc(image,i,j,angle,scale)
if(angle==0)
result = image(i,j) - image(i,j+scale);
end
if(angle==45)
result = image(i,j) - image(i-scale,j+scale);
end
if(angle==90)
result = image(i,j) - image(i-scale,j);
end
if(angle==135)
result = image(i,j) - image(i-scale,j-scale);
end |
function [q0] = decorrelationMethod(alpha,beta)
%DECORRELATIONMETHOD Decorrelation method after Dralle et al., 2015
%
% INPUT
% a: recession power law scale parameter (biased)
% b: recession power law exponent
%
% OUTPUT
% q0: rescaled discharge
q0 = exp(-sum((beta-mean(beta)).*(log(alpha)-mean(log(alpha)))... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Trinh, Khanh V <khanh.v.trinh@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: ... |
#include "userclasses_StateMachine_35.h"
const struct clazz *base_interfaces_for_userclasses_StateMachine_35[] = {};
struct clazz class__userclasses_StateMachine_35 = {
DEBUG_GC_INIT &class__java_lang_Class, 999999, 0, 0, 0, 0, &__FINALIZER_userclasses_StateMachine_35 ,0 , &__GC_MARK_userclasses_StateMachine_35, 0, ... |
function core = inductor()
% Author: Ravi Saripalli (1st Aug. 2021)
% Estimate inductance from physical construct
% of inductor. Then use experimental data of
% damped oscillator frequency of LC tank circuit
% with different known capacitors.
function L = L_measure()
% Calculate inductor va... |
function [PeakSpec,PeakwL]=findpeak(wL,Spec,c)
%function w=cutdc(A,dc0);
%dc0:threshold
[a,b]=size(wL);
if a>1
wL=wL';
end
[a2,b2]=size(Spec);
if a2>1
Spec=Spec';
end
[Spect_sort,IS]=sort(Spec,2,'descend');
index=round(mean(IS(1:5)));
indexL=index-c;
indexR=index+c;
if indexR>b
indexR = b;
end
if indexL < ... |
[X1,Y1,X2,Y2] = split_db('iris');
%[mcml_model] = train_mcml(Xtrain,Ytrain);
%[mcml_model] = train_just_norm(Xtrain,Ytrain);
[proj1,proj2] = train_test_mcml(X1,Y1,X2);
nn = 4;
err(1) = knn_classify(proj1,Y1,proj2,Y2,nn);
%[mcml_model] = train_mcml(Xtest,Ytest);
%[mcml_model] = train_just_norm(Xtest,Ytest);
[proj2,p... |
function sig = getSig(fileName)
CHAR_START = '='; %Starting of signal
CHAR_PARSE = ','; %Parsing of each signal
CHAR_DIVID = ':'; %Parsing between mac and rssi
CHAR_DIVID_SUB = '|';
fid = fopen(fileName);
if(fid<0)
fprintf(['Signal file' fileName 'not found.\n']);
sig = {};
flose(fid);
return;
end
cn... |
function calc_times = core_calcCoeffs(S_coredata,pstep,issave_e,issave_p,issave_d)
%Get first group from tvec to begin saving
tvec = S_coredata.tvec;
len_tvec = length(tvec);
%Initialize
[t_last,Y_last] = core_loadCheckpoints(core_getCheckpointFn(pstep,S_coredata.cp_dir));
noise_vec ... |
function [S] = im2segment(im)
% [S] = im2segment(im)
nrofsegments = 5;
m = size(im,1);
n = size(im,2);
threshold = 200;
segmentationIndex = 1;
pixelsFoundInSegment = 0;
for kk = 1:nrofsegments
temp = zeros(m,n);
for i = segmentationIndex:n
sumOfColumn = 0;
for j = 1:m
if(neighbourHo... |
% Problem Set 4
% =============
% Do Yoon Kim, Chris Poliquin, David Zhang
% May 15, 2015
rng(8675309);
dir = mfilename('fullpath');
cd(dir(1:end-4));
options = optimset('Display', 'final', 'TolFun', 10e-10, ...
'MaxIter', 1000, 'MaxFunEvals', 1000);
%% Section 2, Question 3
% --------------------... |
% Approximate the solution at the next time step using the FEM
function u = forward_euler_step_4(y, dx, dt, m)
A = zeros(m, m);
for i = 2:m
A(i,i) = 1;
A(i,i-1) = -1;
end
time_deriv = -1/dx * A * y;
u = y + dt*time_deriv;
end |
col = 321; row = 481;
%load data
fin=fopen('Man.raw','r');
input = fread(fin, (row * col * 3), '*uint8');
fclose(fin);
R = reshape(input(1:3:end), [col, row]);
G = reshape(input(2:3:end), [col, row]);
B = reshape(input(3:3:end), [col, row]);
input = cat(3, R, G, B);
I = permute(input, [2, 1, 3]);
imshow(I); |
% The advected quantity for alpha equation is Alpha
% Alllocation
Alphag0=alphag;
% Value setting
Alphag0.internal=alphag0.internal.*rhog./rhom0.internal;
Alphag0=setBC(Alphag0,rhom,xC,xF,g);
% Face maximum for spectral radius specially tailored for this problem
if 1
% U-alphag block
[a_j_... |
function[desc1,desc2] = two_point_crossover_float_Ackley(pred1,pred2)
temp = zeros(1,8);
nir = randi([12,33],1,1);
for i = 1:8
temp(i) = pred1(nir+i);
pred1(nir+i) = pred2(nir+i);
pred2(nir+i) = temp(i);
end
desc1 = pred1;
desc2 = pred2;
end |
% Function "dgauss.m"(first order derivative of gauss function):
function y = dgauss(x,std)
y = -x * gauss(x,std) / std^2;
end |
classdef U
properties
Stacja='';
NapiecieZnamionowe=0;
NumerPomiaru=0;
Napiecia3f=[0 0 0];
Napiecie=0;
end
methods
function pomiar=U(stacja,Un,nrpom,nap3f)
if nargin~=4
error('blad argumentow konstruktora U');
end
... |
function [trainPerf,valPerf,testPerf,gWB,trainN,valN,testN] = perfsGrad(net,data,hints)
% Copyright 2012 The MathWorks, Inc.
trainPerf = 0;
valPerf = 0;
testPerf = 0;
gWB = zeros(hints.numWeightElements,1);
trainN = 0;
valN = 0;
testN = 0;
for i=1:hints.numSlices
% Slice Data
qq = hints.sliceIndices{i};
dataS... |
function [P,Q,R] = linearize_quadtwopar(A,B,C,D,E,F,t)
%LINEARIZE_QUADTWOPAR Linearize quadratic to linear two-parameter pencil
%
% [P,Q,R] = LINEARIZE_QUADTWOPAR(A,B,C,D,E,F,t)
% linearizes quadratic two-parameter pencil with matrices n x n
% A + l*B + m*C + l^2*D + l*m*E + m^2*F
% as a linear two-parameter pencil... |
clear all
close all
clc
preprare_raw_data;
prepare_data_cnn_filterbank;
gen_datalist_dnn_filterbank;
gen_datalist_cnn_filterbank;
gen_datalist_dnn_filterbank;
preprare_cnnbaseline_data_raw;
gen_datalist_cnnbaseline;
|
%*******************************************************************************
%* Program: exact_mhd_main.m
%* Description: Exact nonlinear Riemann sovler for 1D Magnetohydrodynamic
%* equations.
%* Author: Andrew Kercher
%* References:
%* [1] Dai, W. and Woodward, P. R., "An Approximate Riema... |
function [ scribbles ] = freehand_scribble( scan, mask_gt, mask_scribble, current_slice, varargin)
%% AUTHOR: Basil Mustafa (BasilAMustafa@gmail.com)
%
% freehand_scribble allows a user to quickly scribble on weak supervision data based off
% a provided ground truth and image
%
%% USAGE:
%
% inputs:
% scan -... |
function [neighNoMean neighNoStd radiusMean radiusStd refDirDevMean refDirDevStd refDirDevMax currDirMinRadCorrect] = testPCAInfluence(file, fractionOfSeedPoints, neighRadiusRange, referenceRadiusIx)
%Funkcja testuje wyniki obliczania wektorow normalnych do powierzchni
%wzgledem roznych wartosci promienia sasiedztwa.... |
%% Dynamic Matrix Control Tutorial
% Dynamic Matrix Control (DMC) was the first Model Predictive Control (MPC)
% algorithm introduced in early 1980s. Nowadays, DMC is available in almost
% all commercial industrial distributed control systems and process
% simulation software packages. This tutorial intends to expl... |
function value = CalculateChiSquared(data, fit)
% Returns the chi squared value of a data set and the fit
value = sum((data - fit).^2);
end
|
% This is material illustrating the methods from the book
% Financial Modelling - Theory, Implementation and Practice with Matlab
% source
% Wiley Finance Series
% ISBN 978-0-470-74489-5
%
% Date: 02.05.2012
%
% Authors: Joerg Kienitz
% Daniel Wetterau
%
% Please send comments, suggestions, bugs,... |
//
// PowerBar.m
// MoonHerder
//
// Created by Roger Engelbert on 10/9/12.
// Copyright Done With Computers 2012. All rights reserved.
//
#import "PowerBar.h"
// PowerBar implementation
@implementation PowerBar
@synthesize boostCnt = _boostCnt;
- (void) dealloc {
[super dealloc];
}
-(id) initWithGame:(Ga... |
#include "java_util_HashMap.h"
const struct clazz *base_interfaces_for_java_util_HashMap[] = {&class__java_util_Map};
struct clazz class__java_util_HashMap = {
DEBUG_GC_INIT &class__java_lang_Class, 999999, 0, 0, 0, 0, &__FINALIZER_java_util_HashMap ,0 , &__GC_MARK_java_util_HashMap, 0, cn1_class_id_java_util_HashMa... |
% Usage:
% out = rbc_benchmark_ff(params, y)
% where
% out is a (9,9) matrix of the first order
% derivatives of the static system residuals
% columns correspond to endo variables in
% the ordering as declared
% params is a (12,1) vector of parameter ... |
function [F,V,C]=ind2patch(IND,M,ptype)
% function [F,V,C]=ind2patch(IND,M,ptype)
% ------------------------------------------------------------------------
%
% This function generates patch data (faces “F”, vertices “V” and color
% data “C”) for 3D images. The patches are only generated for the voxels
% speci... |
function lightstart(cs)
% turn all off
writeDigitalPin(cs.a, cs.bulb.green, 0);
% turn green on
writeDigitalPin(cs.a, cs.bulb.green, 1);
pause(0.1);
% turn all off
writeDigitalPin(cs.a, cs.bulb.green, 0);
end |
% -------------------------------------------------------------------------
% Measurements collected during an outdoor campaign.
% DL traffic was generated by iPerf3. Signal indicators were reported by Android OS.
% Strong positive correlation between throughput and RSRQ.
% (RSRQ was measured properly, i.e., in interva... |
function plot_ws_areas(layer,i,j,tmax)
% Produces side by side raster plots of workspace areas i and j
subplot(1,2,1)
plot_ws_firings(layer,i,tmax);
subplot(1,2,2)
plot_ws_firings(layer,j,tmax);
set(gcf,'Position',[50,100,1200,400]); |
function Patch
%This function analyzes and processes data from a new patch. It looks for
%two JSON files: 'champion.json' and 'Items.json'. It converts them to
%structures itemdat and champdat and runs filefix functions among other
%modifiers to process all data.
%% Decoding JSON files
clear
champdat = jsondecode(filer... |
% evaluating the test suite for problem 1 - 2 variable problem
clc;
clear all;
fulldata = importdata('SP_test_5.dat');
V = fulldata(1:2:end, :)';
V1 = fulldata(2:2:end, :)';
%load net_prob1_case2;
load snet3;
V1correct = snet3(V1);
sampleno = 282;
temp(:, 1) = 1:1:17;
temp(:, 2) = V(:, sampleno);
temp(:, 3)= V1(:, sa... |
function deconv_trs = deconvolve(trs,samplingrate,tau)
%DECONVOLVE Deconvolves an exponential from the given trace
% Trace should be divided by the resting light (RLI) prior to calling this function.
% Example usage:
% tr = o.trials(1).rois.traces(glom_num,:) ./ o.trials(1).rois.RLIs(glom_num);
... |
function [person_boxes_frames] = find_top_n_people(boxes_frames, x_flow_paths, y_flow_paths,...
class_id, frame_interval, top_n, score_thres, img_width, img_height)
% FIND_TOP_N_PEOPLE finds the top-n relevant person tracks in a video
% requires extracted optical flow
% - boxes_frames: cell array saved from faster_... |
function [P]=segment_MI(x,fs)
% utlizes MLSP 2017 segmentation paper...added here
addpath('/home/d14003/Desktop/mlsp/MLSP2017_Seg/');
%% calculate spectrogram
[t,f,ps]=calculateSpectrogram(x,fs);
%% load SVD dictionary (left singular vectors)
load Dict;
Dict=U(:,1:5); %% choosing top 5 left singular vectors
%% comput... |
function output = function_name(input1,input2,varargin)
% The "function_name" function ... TODO: Add description
%
% SYNTAX: TODO: Add syntax
% output = function_name(input1)
% output = function_name(input1,input2)
% output = function_name(input1,input2,'PropertyName',PropertyValue,...)
%
% INPUTS: TODO... |
A=imread('untag.jpg');
subplot(2,2,1);imshow(A);title('Citra Berwarna(RGB)');
set(gcf,'Position',get(0,'Screensize'));
R=A(:,:,1);%memanggil matriks gambar piksel warna merah
G=A(:,:,2);%memanggil matriks gambar piksel warna hujai
B=A(:,:,3);%memanggil matriks gambar piksel warna biru
subplot(2,2,2);imhist(R)... |
function [T P NumofEdge_real Comnet max_NumofEdge_rand P_com] = px_gretna_NBS_paired(Mat_Condition1, Mat_Condition2, P_thr, Tail, M, Mask_net, Path_covariate)
%==========================================================================
% This function is used to perform NBS algorithm to search connected
% component... |
function [ratemap,topplot,finalcolormap,OccupancyMap,cellspikes,velcoords,nspikes,noccup] = cell_SmoothPlacePlot(Coordinates,Unit,varargin)
%FUNCTION [ratemap, rawratemap]= cell_SmoothPlacePlot(session, unit, varargin)
% This function creates a smoothed place plot of cell u. There are two
% subplots, on top a trajecto... |
function dz = forwardprop(dp,w,p,z,param)
%DIST.FORWARDPROP Propagate derivative from input to weighted input
% Copyright 2012-2015 The MathWorks, Inc.
[~,Q,N] = size(dp);
S = size(z,1);
dz = zeros(S,Q,N,'like',dp);
end |
function Obj = perform_COMP_measurement()
%Perform composition measurement
%
Obj = COMP_object;
% go to directory and extract raw csv file
Obj.rawData = csvread('data.csv', 0, 1);
% figure;
% plot(x(1,:), x(2,:), 'b-');
RNG = 'C3..C55';
temp = csvread('output.csv', 3, 1, RNG);
temp = temp(4:55, 2);
Obj.processedData... |
function stan_process_birds(DIR,varargin)
%
%
%
%
proc_name='robomulab.mat';
stan_dir='stan';
save_filename='stan_withinbird';
newfs=500;
% load in MU calculation, compare across days
% this script should be run in the base ephys directory (e.g. ephys_barecarbon)
% we're assuming next dir is bird, then rec id, etc.
... |
function handles = osc_set_resolution(osc_message,handles)
% OSC_SET_RESOLUTION - Set the microtonic resolution of the
% orchestra (1/2 tone, 1/4 tone, 1/8 tone or 1/16 tone).
%
% Usage: handles = osc_set_resolution(osc_message,handles)
%
% Open a new session if necessary
if isempty(handles.session)
handles.sessi... |
%@(#) fascatch.m 1.1 05/07/13 10:29:30
%
%
%function j=fastcatch(buid,BUIDNT)
%
function j=fastcatch(buid,BUIDNT)
i=find(buid==' ');buid(i)='';
buid=sprintf('%6s',buid);
jj=(10:-2:0)';
jj=10.^jj;
x=abs(BUIDNT)*jj;
x1=abs(buid)*jj;
j=find(x==x1);
|
%% SPR Xphase input file - Modify me
% Multilayer transfer matrix model for thin film reflectance
% Rp/Rs: Kretschmann-configuration SPR
%
% To use, go through each section and specify the values for your
% experiment. You should specify the angles, frequency ranges, the
% substrate material dielectric function, ... |
function B = is_boundary_facet(E,F)
% IS_BOUNDARY_FACET Determine for each edge E if it is a boundary edge in F
% for tets. Edges are now facets.
%
% B = is_boundary_facet(E,F)
%
% Inputs:
% E #E by element-size-1 list of facets
% F #F by element-size list of elements
% Outputs:
% B #E list... |
video_root = 'thumos15_validation'
frame_root = 'thumos15_validation_frames'
video_list = dir([video_root filesep '*.mp4']);
for i = 1:length(video_list)
[~,vname,~] = fileparts(video_list(i).name);
avi2jpg([video_root filesep video_list(i).name], frame_root);
val_video_list(i).video_name = [video_root fil... |
function [C, sigma] = dataset3Params(X, y, Xval, yval)
%DATASET3PARAMS returns your choice of C and sigma for Part 3 of the exercise
%where you select the optimaleva (C, sigma) learning parameters to use for SVM
%with RBF kernel
% [C, sigma] = DATASET3PARAMS(X, y, Xval, yval) returns your choice of C and
% sigma. ... |
clear all;
close all;
P01 = 1;
D01 = 1;
P02 = 1;
D02 = 1;
% [Nastawy] = fminsearch(@(x) wskaznikJakosci(x), [P0, D0]);
lb = [0.3 0.4];
ub = [1, 1];
% [Nastawy] = fmincon(@(x) wskaznikJakosci2(x), [P01, D01, P02, D02],[],[],[],[], lb, ub);
[Nastawy] = fminsearch(@(x) wskaznikJakosci2(x), [P01, D01, P02, D02]);
% [Nast... |
clc;clear;
TrainsampleDCT_BG = importdata('TrainsampleDCT_BG.mat');
TrainsampleDCT_FG = importdata('TrainsampleDCT_FG.mat');
mean_BG = zeros(64,1);
mean_FG = zeros(64,1);
var_BG = zeros(64,1);
var_FG = zeros(64,1);
%calculate background covariance
%%cov_FG = cov(TrainsampleDCT_FG(:,:));
for i = 1:64
%calculate t... |
function [f, stats] = deBleach(f, mode, varargin)
% f = deBleach(f, mode) removes bleaching
% f = deBleach(f, 'runningAvg', FrameWidth) specifies width of avg window
[f_, stats] = getF_(f,mode);
f = f-f_+mean(f_);
% switch mode
% case 'exponential'
% % Robustly fit a straight line to log(fluorescence) and... |
clear
close all
rootdir = fileparts(fileparts(fileparts(mfilename('fullpath'))));
configfile = fullfile(rootdir,'data','config','_scenario_2009_02_12.xml');
report_config(configfile,'report')
disp('done') |
function ElemS = L_Elem1_3d25(mateprop,ul,xl,ElemFlag,hr,nh1,nh2,nh3,ndf,ndm,nst,nel,nelS,nen,npstr,PSPS,iprob)
PatchE = mateprop(1);
PatchE = mateprop(1);
Patchv = mateprop(2);
thick = mateprop(3);
Bcol1 = [1; 3];
Bcol2 = [2; 3];
col1 = [1; 2];
col2 = [2; 1];
ElemS = zeros(nel,npstr+1);
... |
function ph = pzplot(H, color, markersize, list)
% function pzplot2(H,color='b',markersize=5,list=0)
% Plot the poles and zeros of a transfer function.
% If list is non-zero, a list of the poles and zeros
% is superimposed on the plot.
if nargin < 4
list = 0;
if nargin < 3
markersize = 5;
if nargin <2
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.