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% 逐次超松弛迭代法求解线性方程组；
% A为方程组的系数矩阵；
% b为方程组的右端项；
% delta为精度要求，默认1e-5；
% max为最大迭代次数，默认100；
% w为超松弛因子，默认为1；
% x为方程组的解；
% k为迭代次数；
% flag = 'failure'表示失败,flag = 'success'表示成功
function [x, k, flag] = SOR(A, b, delta, w, max)
n = length(A);
k = 0;
x = zeros(n, 1);
y = zeros(n, 1);
flag = 'succe... |
function [ W ] = matEvaluateVerticalVelocity( obj, mesh3d, fphys2d, fphys3d )
%MATEVALUATEVERTICALVELOCITY Summary of this function goes here
% Detailed explanation goes here
% fphys3d(:, :, 6) = mesh3d.Extend2dField( fphys2d(:, :, 1) - fphys2d(:, :, 5) );
% HUt = mesh3d.Extend2dField( fphys2d(:, :, 2) ) - fphys3d(... |
function [resY , resX] = CoROMP3(D , Y , X , param)
% Modified Orthogonal Matching Pursuit
% Based on a CoSaMP_SB with Two_Solve and HSS
%
% Inputs :
% D : dictionary (normalized columns)
% Y : set of vectors to run on (each column is one signal)
% X : Initial set of coefficients (one column for one signa... |
function [SS_e,s_e,SS_total,r_sq,r_sq_adj] = validation_test(matrix,b,y)
% Statistical calculation
for i = 1:length(matrix)
x1v = matrix(i,1);
x2v = matrix(i,2);
x3v = matrix(i,3);
xv = generateData(x1v,x2v,x3v);
yv(i,:) = xv*b';
end
y_real = y;
df_e = 10;
df_total = 19;
y_mean = (sum(y_re... |
function S = LoadStackRawMulti(filedir)
%function S=LoadStackRaw(filedir)
%
%Imports STXM raw data from input directoy filedir
%filedir needs to contain the STXM header file (.hdr) and the STXM data files (.xim)
%R.C. Moffet, T.R. Henn February 2009
%
%Modified by Matthew Fraund November 2015
%
%Inputs
%-----... |
1;
function [c]=myQuadratur1D(f,w,x)
sum = 0;
for k=1:length(x)
sum += w(k)*f(x(k));
endfor
[c] = sum;
endfunction
f = @(x) exp(x) + 1;
x1 = [0 1];
w1 = [1/2 1/2];
x2 = [0 1/2 1];
w2 = [1/6 4/6 1/6];
myQuadratur1D(f,w1,x1)
myQuadratur1D(f,w2,x2) |
function DM=mat_gen_wind_flux_div(X,type)
% get matrix of flux divergence
% input:
% X mesh
% type 'D' create divergence matrix D
% 'M' create wind to flux matrix M
% 'DM' create D*M (default)
% output:
% DM flux divergence matrix
%
% Error checking
check_mesh(X);
if ~exist('type','var... |
classdef View < handle
% SBFSEM.UI.VIEW
%
% Description:
% Generic single panel interface.
%
% Protected properties:
% figureHandle handle to figure window
% ui structure to hold ui handles
%
% History:
% 8May2018 - SSP - simplified version of Interface
% --------------------------------... |
function d = detection_list(g,r)
%d = detection_list(g)
%inputs :
% g struct, satellite data from subset_detections
% r struct, fire data from subset_domain
%output ;
% d nx2 array with lon,lat of detections
min_con = 7;
mask = zeros(size(g(1).fxdata));
for i = 1:length(g)
mask = mask + d... |
function [] = WriteFLDeck(Path,FileName)
FileID = fopen(FileName,'w');
fprintf(FileID,'AllowReplace\r\n!\r\n');
fprintf(FileID,'FL_INPUT\r\n');
String = GetFormatStrings('Flow Path');
for k = 1:length(Path)
PrintHeader(FileID,Path(k).ID);
Info.Geom = [Path(k).FlowArea,Path(k).Length,Path(k).OpenFrac];
... |
function PlanesofPlot(node,elem,k,xns,yns,zns)
z0=mean(node(:,3));
plane=[min(node(:,1)) min(node(:,2)) z0
min(node(:,1)) max(node(:,2)) z0
max(node(:,1)) min(node(:,2)) z0];
[cutpos,cutvalue,facedata]=qmeshcut(elem(:,1:4),node,node(:,1),plane);
figure(6);
trisurf(k,zns,xns,yns, 'Facecolor','... |
clear; close all force; clc;
%% Informações da base
% Base retirada do repositório UCI datasets, pode ser encontrada no link :
% <https://archive.ics.uci.edu/ml/datasets/Computer+Hardware>.
% Informações Gerais : Dados Relativos de Desempenho de CPUs de 30 fabricantes.
% 1. Nome: Dados relativos de desempenho da CPU
% ... |
function s=big(a)
% s=big(a)
% max absolute value of any array, arbitrary number of dimensions
s=big2(abs(a));
function s=big2(a)
if isvector(a),
s=full(max(a));
else
b=max(a,[],ndims(a));
s=big2(b);
end
|
function writeBoozerfile(Geom,filename,varargin)
if filename(end-2:end)=='.bc'
filetype='bc';
else
if filename(end-3:end)=='.dat'
filetype='dat';
if nargin>2
Nradii=varargin{1}; %HM's W7X calculations usually has 7
else
Nradii=Geom.nsurf;
end
else
filename=[filename,'.bc'];
fi... |
%%
% 1(a)
normdistr = randn(4)
%1(b)
positivevector = normdistr(normdistr>0)
%1(c)
[row,col] = find(normdistr>0)
%1(d)
wherepositive = normdistr>0
%%
%2
first = ones(4,4)*normdistr(1,1);
Eucliddist = abs(normdistr - first)
%%
%3(a)
I = imread('/Users/utkarsh/Downloads/img_001.ppm');
size(I)
%605 represents the height... |
%for papers =====================================================================================
infile='\SignifProp\lena512.bin'; fid=fopen(infile); a=fread(fid,[512 512],'uint8')'; fclose(fid);
%infile='\SignifProp\barbara.bin'; fid=fopen(infile); a=fread(fid,[512 512],'uint8')'; fclose(fid);
%infile='\SignifProp... |
% Script that computes the backwards error calculating the eigenvalues
% using the explicitly shifted QR iteration.
sim = 1000;
for j = 1:sim
n = randi([5,30]);
A = exp(randn(n)*1i + randn(n));
[T,Q] = complexschur(A);
eigenval = abs(eig(A));
semilogy(j,norm(eigenval - abs(diag(T)))/norm(e... |
%%precision and recall
testLabel1_output= xlsread('5th.xlsx');
testLabel1=testLabel5;
[s1 s2]=size(testLabel1);
tp0=0;fp0=0;fn0=0; tp1=0;fp1=0;fn1=0; tp2=0;fp2=0;fn2=0; tp3=0;fp3=0;fn3=0; tp4=0;fp4=0;fn4=0;
tp5=0;fp5=0;fn5=0; tp6=0;fp6=0;fn6=0; tp7=0;fp7=0;fn7=0; tp8=0;fp8=0;fn8=0; tp9=0;fp9=0;fn9=0;
for i = 1:... |
% Simulation Logic:
% Creating the environment: Tank
% Creating the Agents
% When iterating in the loop:
% tank.addFood()
% For all Agents:
% agent.consumption()
% agent.outcome()
% bacteria.convert()
% For all Agents:
% agent.behaviour()
% STOP
function simul... |
% subplot(2,2,1)
% spectrogram(yhigh(:,test_case),512,64,128,16000,'yaxis');
% subplot(2,2,2)
% spectrogram(yhigh(:,13),512,64,128,16000,'yaxis');
% subplot(2,2,3)
% spectrogram(yhigh(:,12),512,64,128,16000,'yaxis');
% subplot(2,2,4)
% spectrogram(yhigh(:,11),512,64,128,16000,'yaxis');
subplot(2,2,1)
spectrogram(yhig... |
% regularization parameter tester
% tests:
% modesolver_reg
% modal_filter
%
% 08/11/14
%
mics = 2;
order = 4;
winsize = 1000;
mscale = 0.1;
mshift = 0.9;
alpha = 0;
base = "/media/joe/Milarepa/experiments/2014_08_11/reg_eigs/";
directory = [base, "a", num2str(alpha), "/"];
mkdir(directory)... |
clear
clc
load AW.mat;
%% Reading image
inImg = im2double(imread(strcat('img/27.jpg')));
inImg = imresize(inImg, [80,120]);
[imgH, imgW, imgDim] = size(inImg);
%% Building Saliency Saliency
myEnergy = im2Energy(inImg, W);
mySMap = vector2Im(myEnergy, imgH, imgW);
%% Visualization
mySMap = mySMap.^2;
mySMap = imfilte... |
function [Copt Res] = get_cv_krr(Xtr,Ytr,C,folds)
% Xtr--input data matrix
% Ytr--output data matrix
% C --values to test
if nargin<3
C=[ 5.^[5:-1:-1]];
end
C=.1*dataVarEst(Xtr,1)*C;
if nargin<4
folds=5;
end
Fi=gennFold(ones(size(Xtr,1),1),folds);
for fold=1:folds
fidxs=Fi(:,fold);
for i=1:numel(C) ... |
function [n2sgram,nsgram]=straightBodyC03ma(x,fs,shiftm,fftl,f0raw,f0var,f0varL,eta,pc,imgi)
% [n2sgram,nsgram]=straightBodyC03ma(x,fs,shiftm,fftl,f0raw,f0var,f0varL,eta,pc,imgi)
% n2sgram : smoothed spectrogram
% nsgram : isometric spectrogram
% x : input waveform
% fs : sampling frequency (Hz)
% shiftm : frame ... |
function y = cauchy_rand(a, b, n)
% Cauchy Random function
y = a + b*tan(pi*(rand(1,n)-0.5));
end |
function [noise_bandwidth, noise_bandwidth_chan] = mrir_noise_bandwidth(noise, varargin)
%MRIR_NOISE_BANDWIDTH
%
% bandwidth = mrir_noise_bandwidth(noise)
%
%
% references:
%
% Kellman P, McVeigh ER.
% Image reconstruction in SNR units: a general method for SNR measurement.
% Magn Reson Med. 2005 Dec;54(6):1439-47.... |
function success = emailResults(filenames, emailaddress)
% success = emailResults(filenames, emailaddress)
%
% THIS FUNCTION ONLY WORKS AS-IS ON THE UIUC CAMPUS. (But, all you'd have
% to edit is the first line, to change the name of the SMTP server).
%
% E-mails experiment results (or any other file!) to yourself as... |
function [stockCode, startDate] = fetchOptCodeByFeature(CP, strike, ExpireDate, xlsPath)
%输入参数
% OptHistoryInfo期权合约列表
% CP Call Put
% strike 执行价格
% ExpireDate到期日期 写法 '2016-09'(9月份到期)
%输出参数
% stockCode合约代码
% startDate合约的起始日期
%Demo
% [stockCode, startDate] = OptInfo.fetchOptCodeByFeature( 'call', 2.3, '2016-12')
% [stock... |
% Calculate inertial parameters regressor of coriolis joint torque vector for
% %RN%
% Use Code from Maple symbolic Code Generation
%
% Input:
% %INPUT_QJ%
% %INPUT_QJD%
% %INPUT_PKIN%
%
% Output:
% tauc_reg [%NQJ%x(%NQJ%*10)]
% inertial parameter regressor of coriolis joint torque vector
% %VERSIONINFO%
function... |
function require_dirs( arr )
% REQUIRE_DIRS -- Create directories if they do not exist.
%
% IN:
% - `arr` (cell array of strings, char)
dsp2.util.assertions.assert__is_cellstr_or_char( arr, 'the paths' );
arr = dsp2.util.general.ensure_cell( arr );
for i = 1:numel(arr)
dsp2.util.general.require_dir( arr... |
function plot_u(Uout)
figure;
cmap = colorcube(400);
colors = cmap([171 233 80 135 30 200 111],:);
T = 1:size(Uout,2)-1;
t = T(end);
subplot(3,1,1)
plot(T,Uout(1,1:t),'-','Color',colors(1,:),'linewidth',2);
grid on;
hold on;
xlabel('time (s)');
ylabel('U_x (N)')
set(gca,'fontsize',14);
subplot(3,1,2)
plot(T,Uout(2... |
%% INIT
clear all;
close all;
clc
GPS = load('Grundriss_GPS.mat');
vorgabe = load('Vorgabe.txt');
imaqreset
%% Data Aquisition (i)
colorDevice = imaq.VideoDevice('kinect',1);
depthDevice = imaq.VideoDevice('kinect',2);
step(colorDevice);
step(depthDevice);
colorImage = step(colorDevice);
depthImage =... |
function boxedDim = packaged_objec(boxedObjec, angle, flag)
% Function which will return either the dimensions of the new boundary
% box after rotating the image (if flag == 1) or returns the whole
% image after it has been cropped to the new boundary box of the
% rotated object (if flag == 0)
% In... |
%compute thrust command for theta using LQG controller
%EWG 2014
function [control1, control2, control3, xest, utheta, loss, gsim, psisim] = HeadingControlMIFconstY(x1,xestin,uthetain,gsimin,psisimin)
%Define system model
%model parameters
a=1.4;
b=4;
Kmodel=50;
A = [0 1 0; 0 0 1; 0 -(a+b) -a*b];
B = [0 0 ... |
function tf = gitUpToDate()
[a, b] = system('git status --porcelain');
if isempty(b)
tf = true;
else
tf = false;
end
end |
function [measures, best] = distilate_2d(Z, param1_name, param2_name, ref_fsimc)
if nargin < 4
comp_fsimc = false;
else
O = rescale(ref_fsimc, 0, 255);
comp_fsimc = true;
end
[S, N] = size(Z);
measures.param2 = zeros(1, N);
measures.param1 = zeros(1, N);
measures.psnr = zeros(S, N);
measures.fsim = zeros... |
% Rechnerunterstuetzte Mechanik I
% Wintersemester 2018/19
%
% Uebung 3:
% Grosse Lineare Gleichungssystem
%
% Inhalt:
% - LUP Faktorisierung
% - CG Verfahren
%
clc;
disp('3. Uebung zur Vorlesung Rechnerunterstuetzte Mechanik I (WS 2018/19)');
%%%%%%%%%%%%%%%%%
%%% AUFGABE 1 %%%
%%%%%%%%%%%%%%%%%
disp('Aufgabe 1');
... |
%%
% Function that finds intersection of 3 planes
% Each Plane is in the form:
% A * X + B * Y + C * Z + D = 0
% Author: Geometry by Bowyer andf Woodwark, Butterworths, 1983
%%
function p = planes_intersect_point( plane1, plane2, plane3 )
a1 = plane1(1); b1 = plane1(2); c1 = plane1(3); d1 = plane1(4);
a... |
% Generate Time-Changing Frequency and Time
N = 1500;
f_n = frequency_n();
phi = integrateFrequency(f_n);
figure;
plot(1:1500,f_n,'b','LineWidth',2); hold on;
xlabel('Time Index [n]');ylabel('f(n)');
title('Frequency of signal over time');grid on;grid minor;set(gca,'FontSize',18);
figure;
plot(1:1500,phi,'r','LineWidth... |
function rm_old_mk_new_dir(dir_)
if isdir(dir_)
assert(rmdir(dir_,'s'));
end
assert(mkdir(dir_));
end |
classdef (Sealed = true)sweep < qes.qHandle
% sweep an array of values for one or multiple
% ExpParam(experimental parameter) class objects or functions.
% Copyright 2015 Yulin Wu, Institute of Physics, Chinese Academy of Sciences
% mail4ywu@gmail.com/mail4ywu@icloud.com
properties
% values of pa... |
function psinsuartcallback(obj, event)
% Copyright(c) 2009-2018, by Gongmin Yan, All rights reserved.
% Northwestern Polytechnical University, Xi An, P.R.China
% 17/08/2018
global glb
[recbuf, cnt] = fread(obj, glb.recbuflen/4, 'float32');
if ~ishandle(glb.hfig)
if glb.fid>0
fclose(glb.fid);... |
% Read in wine dataset
wine = dlmread('winequality-red.csv',';',1,0);
% Randomly split data into train and test sets
N = size(wine,1);
ind = randperm(N);
train_ind = (ind<(N+1)/2);
test_ind = (ind>=(N+1)/2);
train = wine(train_ind,:);
test = wine(test_ind,:);
mean_train = mean(train);
std_train = std(train);
%Sta... |
MAT_DIR = 'p-sys-resp';
if isempty(regexp(pwd, strcat(MAT_DIR,'$'), 'ONCE'))
error(strcat('Your current working directory must be: ', MAT_DIR));
end
results = dir('*.mat');
for file = {results.name}
if ~isempty(regexp(file{1}, 'STEP', 'ONCE'))
data = load(file{1});
data = data.ans;
figu... |
function SDMantra(varargin)
switch varargin{1}
case 'saraswati'
SCMD('seperator','type03',5,1)
fprintf('saraswati namasthubhyam varade kAmarUpiNi\nvidhyAraMbham karishyAmi siddhirbhavathu me sadA\n')
SCMD('seperator','type02',5,1)
disp('may dEvi saraswati bless you with awesome prog... |
% this script generares the results of the latex table of the syntethic experiments
close all; clear; clc
directory = 'data/power_profile_tests';
files_and_folders = dir(directory);
files = files_and_folders(~([files_and_folders.isdir]));
errors = [[0, 1, 0, 1, 0]; [0.05, 1.01, 0.005, 1.001, 0]; [0.05, 1.01, 0.005, ... |
%% Initialization section
clear all; close all;clc;
prompt1 = 'Please enter the subject ID given for the user: ';
SUBJECTID = input(prompt1);
markers = ["lef","lbd","lelb","lelb1","lie","ref","rbd","relb","relb1","rie"];
%Kinect initialization script
addpath('F:\github\wearable-jacket\matlab\KInectProject\Kin2');
ad... |
function [] = parseHK(data)
hk.bootCount = swapbytes(typecast(data(1:2), 'uint16'));
hk.imagesTaken = swapbytes(typecast(data(3:4), 'uint16'));
hk.temperature = typecast(data(5), 'uint8');
hk.framStatus = typecast(data(6), 'uint8');
hk.medipixStatus = typecast(data(7), 'uint8');
hk.bootTime = s... |
function [res] = precision(preds,labels)
%PRECISION measure
K = max(labels); %number of classes
precs = [];
for k=1:K
precs = [precs; length(find(labels == preds & preds==k))/length(find(preds==k))];
end
precs(isnan(precs))=1; % one for not prediciting any of class that was not involved
precs(isin... |
function varargout=mnlistgrad(Fmn,Nperiods)
if strcmp(class(Fmn),'mnmat')
varargout{1}=grad(Fmn,Nperiods);
else
cind=find(Fmn.cosparity & not(Fmn.m==0 & Fmn.n==0));
sind=find(not(Fmn.cosparity) & not(Fmn.m==0 & Fmn.n==0));
dduFmn.m = [Fmn.m(cind), Fmn.m(sind)];
dduFmn.n = [Fmn.n(cind), F... |
function [ new_features ] = im_scale_features( features )
total = size(features, 2);
new_features = zeros(size(features));
for i = 1:total
all
end
end
|
function RehedgerStocks2(aBot,aTime,aStrikeVec)
myDeltaPosition = DeltaPosition(aBot,aStrikeVec);
myPercentage = 0.01;
if myDeltaPosition>myPercentage*sum(aBot.ownTrades.volume(find(strcmp(aBot.ownTrades.ISIN,'ING')))),
myBidStockV=abs(round(myDeltaPosition));
myBidStockP=aBot.StockDepth.bidLimitPrice(1);
... |
%Katarzyna Pencak
simulink;
J = [-1,0;0,1];
P = eye(2);
%P = [1,0.1;0.5,1];
A=P*J*P^-1;
figure;
xlabel('x1');
ylabel('x2');
grid on;
hold on;
%wektory własne
x1 = -1.5:0.1:1.5;
y1 = -1.5:0.1:1.5;
x2 = -1.5:0.1:1.5;
y2 = -1.5:0.1:1.5;
plot(x1*P(1,1),y1*P(2,1),'b');
plot(x2*P(1,2),y2*P(2,2),'b');
... |
function [kp_new2]=sobel_op(A,B)
%NOTE:REPLACE CONVOLUTION INBUILT
%A=imread('cameraman.tif');
%B=[5 5 10 55 34 38];
%B=keypoints_loc;
[r2 c2]=size(B);
Dx=[-1 -2 -1;0 0 0;1 2 1];
Dy=[-1 0 1;-2 0 2;-1 0 1];
% Dxpad=[0 0 0 0 0;0 -1 -2 -1 0;0 0 0 0 0;0 1 2 1 0;0 0 0 0 0];
% Dypad=[0 0 0 0 0;0 -1 0 1 0;0 -2 0 2 2;... |
function mat=escanear2(z,o,poly1,poly2)
linea = zeros(o,3);
for i=1:1:o
% Measure the time to acquire 20 frames.
linea(i,3) = z;
linea(i,2) = (((2*pi)/o)*i);
linea(i,1) = distanciaop(poly1,poly2);
end
mat = linea; |
A = importdata('train.txt');
B = importdata('test.txt');
[numTrainSamples, numTrainDim] = size(A);
[numTestSamples, numTestDim] = size(B);
x_test_id = B(:,numTestDim);
y_train = A(:,numTrainDim);
x_train = A(:,1:numTrainDim-1);
x_test = B(:,1:numTestDim-1);
x_train = zscore(x_train);
x_test = zscore(x_test);
... |
function A = get_A(ac, t, X)
I = eye(6); A = zeros(6);
for i = 1:6
h = 1e-6;
f1 = ac.non_flat_model(t, X - h*I(:,i)); f2 = ac.non_flat_model(t, X + h*I(:,i));
A(:,i) = (f2-f1)/(2*h);
end
end |
% in programs written before august 21, 2009, PCAproj outputs weighted and
% centralized features. but after this date, varargin determines ifthe
% fatures should be weighted¢ralized or not.
function varargout = pcaProj( egnFace , egnVal , meanFace , varargin ) % ftrW, meanFace, prbFace: each row for a sample. eg... |
% This is a test script for the function file bunnyEars2
% Antonio Cancio
bunnyEars2(0)
bunnyEars2(1)
bunnyEars2(2)
bunnyEars2(3) |
function c = mult(a,b)
% MULT calculates c=a*b for each value of each column of a. b has one column
% written by Klaus Hartung
% Lehrstuhl fuer allgemeine Elektrotechnik und Akustik
% Ruhr-Universitaet Bochum
%
% Date 27.09.1995
c = diag(sparse(b)) * a;
|
function [Ax, Ay] = CrystalID2LocalPosition(cID)
%CRYSTALID2LOCALPOSITION Summary of this function goes here
% Detailed explanation goes here
%%
% sub_array_bias = 8.9; % mm
%
% array_width = 16.8; % mm
panel_width = 34.7; %mm
array_width = 16.8; % mm
sub_array_bias = panel_width/2-array_width/2;
sub_array_edges... |
%Low Speed Lab 1
%the purpose of this script is to import our raw data and formate the data
%in graphs
clc; clear all
close all
%read in and format data
data = csvread("data2.csv");
rundata = zeros(57,3,2);
runNum = 0;
counter = 1;
for i=1:length(data)
if(data(i,4) ~= runNum+1)
rundata(:,:,runNum+1) = da... |
function learn_all_BLSregressors( Data,LearnedDistribution ,options)
n_cascades = options.n_cascades;
rms = zeros(n_cascades,1);
BLS_regressors{n_cascades}.R = [];
%%%start to learn the BLSregressors depending on the deltX distributions
for icascade = 1:n_casca... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% %%%%%
%%%% NICTA Energy System Test Case Archive (NESTA) - v0.7.0 %%%%%
%%%% Optimal Power Flow - Typical Operation %%%%%
%%%% ... |
function y = normSubDiv(x, getX, getNData)
if nargin < 2
getX = @(x,idxs) x(:,:,:,idxs);
end
if nargin < 3
getNData = @(x) size(x,4);
end
nChannels = size(getX(x,1),3);
nn = GNN(lossMSE());
nn.addLayer(layerSubtractiveNormalization(nChannels),actLinear(),1,2)
nn.addLayer(layerDivisiveNormalization(nChannels)... |
function varargout = wtbxexport(varargin)
% WTBXEXPORT MATLAB file for wtbxexport.fig
% Last Modified by GUIDE v2.5 22-Jun-2009 17:14:45
%
% M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi 01-Mar-2007.
% Last Revision 17-May-2012.
% Copyright 1995-2012 The MathWorks, Inc.
% $Revision: 1.1.6.14 $ $Date: 2012/06/... |
%% 3-30-2018 - DJC generate sine waves to test TDT filtering abilities
% using white matter (c) output to bnc
% generate sine waves between 12 and 20
Fs = 24414; % sampling rate Hz
% time each frequency
timeFreq = 8;
tTotal = timeFreq*Fs;
t=0:1/Fs:timeFreq;
t = t(1:end-1);
freqVec = [12:20];
for freq = freqVec
... |
clc;
close all;
clear all;
t= [1 2 3 4 5 ]';
X = -1*t;
Y = [ 0.7 0.43 0.32 0.19 0.15]';
Ys = log(Y);
% MC
[ theta ,Ym ] = mc( X,Ys )
Ymodi = exp(Ys);
J = sum((Y-Ymodi).^2)
J2 = sum((Ys-Ym).^2)
% mcR
[ theta,Yest ] = MCR( X,Ys )
Yest_reel = exp(Yest);
figure;
plot(Y,'g')
hold on
plot(Ymodi,'r')
hold on
plot(Yest_r... |
%construct networks
function [] = Networks(w)
village = csvread(strcat('village',num2str(w),'.csv'));
% Household ID's and Person ID's
hhids = mod( village(:,1), 1000 );
pids = village(:,2);
numHouseholds = max(hhids);
households = zeros(numHouseholds,9);
persons = 100*village(:,1) + village(:,2);
%number of person... |
function [v, f, n, name] = stlRead(fileName)
%STLREAD reads any STL file not depending on its format
%V are the vertices
%F are the faces
%N are the normals
%NAME is the name of the STL object (NOT the name of the STL file)
format = stlGetFormat(fileName);
if strcmp(format,'ascii')
[v,f,n,name] = stlReadAscii(fileN... |
function [rxy] = CoordReal2Relative(xy,imsize)
%function [rxy] = CoordReal2Relative(xy,imsize)
%
%intent: represent xy as a loctation relative within an image of imsize
% the location xy = [1,1] would be the topleftmost pixel, and is representative of the
% value of the image function at the absolute posi... |
function [ReducedFeaturesMatrix, COEFF, NumOfPCs] = DimensionalityReduction( FeaturesMatrix, Labeling, varargin)
%DIMENSIONALITYREDUCTION Reduces the dimensionality of N-by-P FeaturesMatrix matrix dimensionality.
% Rows of FeaturesMatrix correspond to observations, columns to variables.
% varargin{1} is the PCAD... |
function statsLayoutChange(src,~,fig,datatype)
%statsLayoutChange - switch between the two layout modes
% Get the state of the button
if ~isempty(src)
value = get(src,'State');
switch value
case 'on' % 'detail'
% ...if on the change to the max detail view
[locn] = statsLocatio... |
function varargout=connectAlicat(aliComm)
% function aliComm=connectAlicat(aliComm)
%
% Form a connection to the Alicat controller. If an argument is given then
% the connection to the specified device is closed.
%
%
% Rob Campbell - 20th March 2008 - CSHL
if nargin==0
global aliComm
aliComm=serial('COM1',..... |
clear all; close all; clc;
% Air/Physical properties
bar = 1e5;
k = 1.4;
cp = 1000;
R = 8.3144/(28.9647e-3);
% Given values
m_cor = 54.4;
pp_total = 23;
n_ad = 0.86;
n_pl = 0.906;
T01 = 304.8;
P01 = 0.60496*bar;
% Real mass flow rate, stage number and stage pressure ratio
m = m_cor*(P01/101325)/sqrt(T... |
function a=markov_map(seq,K,alf)
%
% function a=markov(seq,K);
% a(j,k)= prob ( x(t)=k and x(t-1) = j)
% alf = alpha-1
%
ht=seq(1:(end-1)) + K*(seq(2:end)-1);
n=hist(ht,1:(K*K));
a=reshape(n,K,K)+alf;
asum=sum(a,2);
a=a.*repmat(1./asum,1,K);
|
function Fsweep=FrequencyStepperHP(T, EXP);
% FrequencyStepperHP - frequency stepper panel for HP stimulus GUI.
% F=FrequencyStepperHP(Title, EXP) returns a GUIpanel F allowing the
% user to specify a series of frequencies, using either be logarithmic or
% linear spacing. The Guipanel F has title Title. EXP is ... |
function makeConfMatPredict(cm,txtAct,txtPred)
% Make a uniform looking confusion matrix
% Calculate percentages
prc = 100 * bsxfun(@rdivide,cm,sum(cm,2));
% Size of the matrices
[sz1,sz2] = size(prc);
% General colour map
cmap = flipud(gray(100));
if sz1 >= 5
fs = 18;
else
fs = 24;
end
figure; hold on;
i... |
R=25:25:500;
Rd1 = 100;
bandwidth =
NPowerdB = -174+10*log10(bandwidth);
BSPower = 20000;
freq = 3.4;
power = 200;
powerdB = 10*log10(power);
C0 = zeros(3,20);
SINR = 0;
for i=1:20
SNR_BS_dB = BSPowerdB+121-pathloss(R(i),freq);
SNR_BS = 10^(SNR_BS_dB/10);
C0(1,i) = bandwidth*log2(1+SNR_BS)*1... |
function [features] = eegFeatures(x,lf,uf,fs,varargin)
%Let x be an row vector of eeg trials
%features : Number of Trials x Number of features(Bands)
Nf = 2048;%Number of Samples
N = length(x);%number of trials
features = zeros(N,uf-lf+1);
df = fs/Nf;%band size
bandSize = 1;
if nargin == 5
ch = varargin{1};
else
... |
function lcod_train_script(depth,t0)
DATASET='USPS';
LEARNING_RATE.alpha=1;
LEARNING_RATE.t0=t0;
LEARNING_RATE.max_change=0.1;
MAX_ITER=4000;
ALPHA=0.5;
NET_DEPTH=depth;
NUM_CLASSES=1;
CONV_THRES=1e-2;
CONV_COUNT=Inf;
ERROR_CHECK_ITER=100;
if strcmp(DATASET,'USPS')
n_sample=Inf;
train_data=load('USPS Data/train_dat... |
clc;
clear;
%%Team 2, Matlab and SparkFun Integration Code for Social Media Game
%% Made by Jeffrey zhang Contact at zhang.junhe@husky.neu.edu
%%Identifying the connected Arduino Board
COM='COM3';
a=arduino(COM,'uno');
%%Reading the point images - for the code, not displayed
point0=imread('point0.png');
point5... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Symmetry Based Analysis of Facial Expressions Partially Occluded Due to Head Motions
% Version : 1.0
% Date : 01.2.2017
% Author : Mehdi Ghayoumi
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function makeTuples( obj, key )
import vis2p.*
% params
shuffle = 5000;
names = {'Out','In'};
% get traces [oriOut oriIn cells trials]
[traces,oris] = getTraces(CenterSurOri,'key',key,'compute',1);
% control error
if isempty(traces)
display('Nothing to compute!')
return
end
% insertTraces
key.oriTraces = t... |
%% Find good clusters
clear good_clusters;
count = 0;
for ii = 1:numel(psth_sahani)
if psth_sahani(ii).NPSP < 40
count = count + 1;
good_clusters(count,1) = ii;
good_clusters(count,2) = psth_sahani(ii).NPSP;
end
end
good_clusters = sortrows(good_clusters,2);
%% Plot the results
row = 5;
... |
% checkabort
% check whether abort key was pressed
%
% Hanneke den Ouden
% Donders Institute for Brain, Cognition and Behaviour
% h.denouden@gmail.com
%
% version 02-08-2012
%==========================================================================
[keyIsDown,~, keyCode]= KbCheck;
if keyIsDown && any(find(keyCode)... |
% This file contains parameters used to
% 1) Configure the scripts to the lab
% 2) Prepare labels for plotting
% ----------------------------------------
% LAB: SET UP FOR YOUR OWN LAB!
% ----------------------------------------
% =================================
% SECTION 1: LAB CONFIGURATION
% ======... |
%==========================================================================
function [out]=f_charge_e(mesh,kgrid,SB1,EFn,eDensity_target)
%==========================================================================
%
kB = 1.38D-23; % Boltzmann constant, J/K
Q = 1.6021917D-19; % electron charge
T = 300; ... |
%----------------------------------------------------------------------
% Experimemtal setup
%----------------------------------------------------------------------
% check for operating system
os = computer; % determine the OS
if strcmp(os(1),'P') % check if PC or mac and change path accordingly... |
function [m, bl] = model_add_block(m, varargin);
% Add a block of parameters to the model.
% [m, bl] = model_add_block(m, varargin)
%
% Return values
% m Updated model
%
% Arguments
% m Model to update
% varargin (key, value) pairs that can specify the following:
% key v... |
function Vnn = nucnucrepulsion(atoms, xyz_a0)
% Vnn = nucnucrepulsion(atoms, xyz_a0)
%
% Input:
% atoms list of element numbers (array with K elements); e.g. [6 8] for CO
% xyz_a0 K×3 array of Cartesian coordinates of nuclei, in bohr
% Output:
% Vnn total nuclear repulsion energy, in hartrees
Vnn = 0;
for... |
%% Stelling 11
%
% De onderstaande code om een bestand genaamd 'output.asc'
% aan te maken werkt niet omdat het functie argument
% '-ascii' ontbreekt.
%
% ======= Code =======
% tijdve... |
classdef NdgQuadFreeStrongCentralVisSolver3d < NdgAbstractVisSolver
% At present, only the vertical diffusion term is considered, both the
% wind term and the friction term need to be added here and not the
% source term part
properties( Access = protected )
M
invM
end
metho... |
function [testOutcome] = testRCNN(testTable, RCNNModl, FrameData, imgPerm, ...
labelsName, bbox, score, label, nTest, startIndx)
% runs detect over all images in test-batch, and returns frames with
% labels. Shows a few examples with boxes detected and real side by side
% and allows to save them... |
%% Atmosephere Modeling
%% Variables
P_SI=1.01325*10^5;%pressure in SI
RO_SI=1.225;%density in SI
T_SI=288.16;%temperature in SI
g_SI=9.81;%garvity const in SI
R_SI=287;
P_EN=2116.2;%pressure in English Unit
RO_EN=0.0023769;%density in English Unit
T_EN=518.69;%temperature in English Unit
g_EN=32.174;%garvity const in... |
function [ mapTrain ] = introTSNE(xy,idx)
%introTSNE - starting point for tSNE analysis
% Determine the input arguments
[xy,idx,train] = generateData;
% xy = rand(2000,10);
% Set some tSNE parameters
numDims = 2;
initDims = 2;
perplex = 100;
%[xy,idx,train] = generateData;
%xy = rand(2000,10);
% Set some tSNE parame... |
function [dXdt,u,F] = dyn_stance(t,X,p)
% --- parameters ---
params = p.params;
tTD = p.tTD(1,end); % touchdown time
ptTD = p.ptTD; % touchdown toe position
Tst = p.Tst;
M_r = p.M_r;
B_EMF = p.B_EMF;
if ~p.isMotorDynamics % if not adding motor dynamics
M_r = 0*M_r;
B_EMF = 0*... |
function [q,out_param] = integralsim_g(varargin)
%INTEGRALSIM_G 1-D guaranteed function integration using Simpson's rule
%
% Description
%
% q = INTEGRALSIM_G(f) computes q, the definite integral of function f on
% the interval [0,1] by Simpson's rule with in a guaranteed absolute
% error of 1e-6. Default starti... |
function s_toe_con = s_toe_con(in1,s_toe,th)
%S_TOE_CON
% S_TOE_CON = S_TOE_CON(IN1,S_TOE,TH)
% This function was generated by the Symbolic Math Toolbox version 8.4.
% 24-Jun-2020 17:51:34
q1 = in1(:,1);
q2 = in1(:,2);
q3 = in1(:,3);
q4 = in1(:,4);
q5 = in1(:,5);
q6 = in1(:,6);
t2 = q1+q2;
t3 = q3+q4+t2;
t4 ... |
load('WSOurilandia90-97NovasNuvens.mat','Magnitude');
[c1,c2,Ourilandia9097fase1]=fcm2(Magnitude);
binOurilandia9097 = ones(size(Magnitude));
binOurilandia9097(Magnitude <= (c1+c2)/2) = 0;
figure,imshow(binOurilandia9097,[])
binOurilandia90972 = zeros(size(Magnitude));
binOurilandia90972(Magnitude > c2) = 1;
figure,... |
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