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%% stopButtonVNA
%
%% Description
%
% |[f, h] = stopButton(x, y, h, w)| displays a Stop button to check abort of data collection -
% based on <http://uk.mathworks.com/matlabcentral/answers/100558-how-do-i-set-up-a-uicontrol-callback-to-interrupt-a-routine MathWorks solution 1-15JIQ> and <https://uk.mathworks.com/... |
function [ predictions] = get_prediction_views(Iteration)
n_views = size(Iteration(1).view,2);
[~,n_labels] = size(Iteration(1).view(1).predicted_labels);
n_unlabelled = size(Iteration(1).view(1).classifier(1).PosterioriPos,1);
predictions = zeros(n_unlabelled,n_labels);
for label_id =... |
% Figure_VesselDistributions.m
%
% Displaying the form of the various vessel distributions on a single graph
%
% Based on figure_sharan.m (and similar) by NPB.
%
% Created by MT Cherukara, 3 May 2019
clear;
close all;
setFigureDefaults;
%% Make the distributions
% Sharan
Rr_sh = [ 2.8, 7.5 , 15 , 22.5, 45 , 90 ... |
yalmip('clear')
clear all
close all
clc
umax = 1.5;
umin = 0;
Ts = 1/5;
quad = Quad(Ts);
[xs, us] = quad.trim();
sys = quad.linearize(xs, us);
[sys_x, sys_y, sys_z, sys_yaw] = quad.decompose(sys, xs, us);
% Design MPC controller
mpc_x = MPC_Control_x(sys_x, Ts);
A = mpc_x.A; %don't forget the "_x" indice
B = mpc_x.B... |
clear all
close all
%Domain values
xmin= 1;
xmax=15 ;
% Domain set
domain= xmin:xmax;
lamda=5
pdx= poisspdf(domain,lamda);
%Getting pdf of poisson distribtion
m=max(pdx);
i=1
while (i<10000)
t=rand;
x_sample=(xmax-xmin)*t +xmin;
u= m.*rand;
x=round(x_sample)
pdxi=poisspdf(x,lamda);... |
function [] = psclosedoc(o)
%PSCLOSEDOC Close the active document in Photoshop.
% PSCLOSEDOC() closes the current active document in Photoshop. If this
% document needs saving, a dialog will pop in Photoshop.
%
% PSCLOSEDOC(1) forces the document to close without saving changes.
% Recommended.
%
% PSCLOSED... |
% Connect the piBot to the arena. Include out group number
% Near door: 172.19.232.11
% Near far wall: 172.19.232.12
%Pb = PiBot('172.19.232.191');
%Pb.setVelocity([0, 50], 3.33)
%Pb.setVelocity([50, 100], 3.245)
% Read localiser %
Pb = PiBot('172.19.232.104', '172.19.232.12', 32);
blueLEDs(Pb, 0);
figure;
x = 0;
y =... |
M0 = csvread('caffe.workstation.cv.log.INFO.20150425-104039.31275.test.csv',1,0);
M1 = csvread('caffe.workstation.cv.log.INFO.20150425-104121.32941.test.csv',1,0);
M = [M0;M1(2:end,:)];
h = figure;
subplot(1,3,1);plot(M0(:,1),M0(:,3));
xlim([0,600]);
legend('learning rate: 0.01','Location','southeast');legend('boxoff')... |
function A=Cholesky(A)
% Cholesky Factorization for symmetric positive definite matrix
% Algorithm 2.7 Heath, p.86
% Factorize A such that A = L*L',
% where L is a lower triangular matrix whose diagonal entries are not
% necessarily unity
% In the output the lower triangular part of A is over-written by L
% The upper t... |
function daq_Quit
%Quit the data acquisition toolbox.
global GAI
global GAO
ai = GAI;
ao = GAO;
stop([ai,ao]);
%clean up
delete(ai);
clear ai;
delete(ao);
clear ao; |
function [x, u, Tf] = FE_ammc(N, m, Tf)
% This function solves
% u_t = u_{xx} / (1 + u_x^2) - 1/u, x \in (0, L)
% u(0, t) = u(L, t) = 1
% u(x, 0) = 1 + 0.1*sin(2*pi*x/L)
% with centred differences in space and forward Euler in time.
% The PDE models axisymmetric motion by mean curvature (ammc).
%
% Some refere... |
function [dr] = f_dr(R_rho)
%
dr = R_rho.*1.85 - 0.85;
M1 = find(R_rho>=1); O1 = R_rho(M1);
M2 = find(R_rho<0.5); O2 = R_rho(M2);
dr(M1) = 01 + O1.^0.5 .* (O1 - 1).^0.5;
dr(M2) = O2.*0.15;
end
|
bcl = pinv(cat(2,wL(1:4),ones(4,1)))*torl(1:4);
bcr = pinv(cat(2,wR(1:4),ones(4,1)))*torr(1:4);
|
classdef Agent
%AGENT Summary of this class goes here
% Detailed explanation goes here
properties
ID = 0;
x = []; % state variable
y = 1; %
z = 0;
phix = 0;
phiy = 0;
rhox = [];
rhoy = [];
k = [];
do = 0;
... |
function Vlin =LinReach(f,x,w,l1,sopt)
% function V = LinReach(f,x,w,l1,sopt)
%
% DESCRIPTION
% This function performs a linear reachability analysis for a polynomial
% system, xdot=f(x,w), about the equilibrium point x = 0. The linearization
% is computed around x=0: xdot = A*x + B*w. This function generates a... |
args = asl_spm01;
%% Build the Design Matrix
%% experiment date: 10.26.09
TR = 4;
exp_duration = 1144;
% one back blocks
onsets{1} = [ 13 66 303 380 681 1046 ]' -7;
durations{1} = [48 96 72 48 72 96]';
% four back blocks
onsets{2} = [ 167 468 604 758 870 958 ]' -7 ;
durations{2} =[ 96 96 72 72 48 48... |
function T = qrexstep( T );
% explicit QR iteration for sym matrices with Wilkinson shift
% note: we assume T to be symmetric, no check here
% reference: Golub, Van Loan; 3rd ed; 8.3.4
% $Id$
ident = eye( size( T ) );
mu = wilkinsonshift( T( end-1, end-1 ), ... |
clear all; clc;clc
%% patches all you need
img = imread('bird.jpg');
img = imresize(imread('bird.jpg'), [256 256]);
patches=im2colcube(img, [32 32], 1);
pat = reshape(patches, 32,32,3,64);
for i=1:(size(pat,4))
figure(1), imshow(pat(:,:,:,i)),pause(0.2)
end
function color_patches=extract_color_patches(img, patc... |
function GT = Gas_trapping(GT_map,mask_data,cutoff,exp,jac)
maski = {1:6};
GT = zeros(length(maski{1})+1,4);
mask = ismember(mask_data,[maski{:}]);
'GT Range Used for QAT'
cutoff
for i=1:4
GT_map1 = GT_map(:,:,:,i);
GT_map1(exp(mask)<cutoff(1,2)|exp(mask)>cutoff(1,3)) = 0; % set voxels outside Exp[-985 -250]... |
for i=1:1
test_obtData1=single_boxData{i};
speed_box=findBoxspeed(test_obtData1(:,2));
box_stat=checkBox(ref_speed_box,speed_box,variation_box);
% Test metal presence
if box_stat==1 %Box presence
resultant = find_resultant(test_obtData1);
cvVal=findCV(resultant);
% roller_noise ... |
addpath('/data/cees/huyle/sep/sep-matlab-io');
tempdata=sepread('../line1/ddata1.dragon2d.30.H',8333,2501);
data=tempdata';
ntrace=size(data,2);
samplingRate=0.004;
Fmax=0.5/samplingRate;
nt=2501;
t=(-(nt-1)/2:(nt-1)/2)*samplingRate;
df=2*Fmax/(nt-1);
f=(0:(nt-1)/2)*df;
spectra=abs(fft(data,[],1));
spectrum=... |
function D = rad2deg(R)
%RAD2DEG Converts angles from radians to degrees
%
% deg = RAD2DEG(rad) converts angles from radians to degrees.
%
% See also DEG2RAD, RAD2DMS, ANGLEDIM, ANGL2STR
% Copyright 1996-1998 by Systems Planning and Analysis, Inc. and The MathWorks, Inc.
% Written by: E. Byrns, E. Brown
% $Rev... |
function err = ...
errorfun_spectralintegration14(V,IA_fullspec,...
ILD_piece1,...
ILD_piece2,...
ILD_piece3,...
ILD_piece4,...
ILD_piece5,...
ILD_piece6,...
ILD_piece7,...
ILD_piece8,...
IA_bestloc)
%This function takes only ILDAlone mean arrays
% errorfun_spectralintegratio... |
% Name, ID
% Date
% Rec Time
% Homework 5 Problem 1
% Guided by Ryo Takei, OSU ID 933927846
clc;
clear;
clf;
% Variables we're given
theta = 89; % degrees
g = 9.8; % m/s/s
v_0 = 13.5; % m/s
% Equations we're given
x = @(t)v_0 * t * cosd(theta);
y = @(t)v_0 * t * sind(theta) - 1 / 2 * g * t^2;
%% STEP 1
% Uncomment ... |
% myPotenzmethode.m start
function [z,lambda] = myPotenzmethode(A,z0,tol,maxit)
xk = z0;
for i = 1:maxit + 1
% abbruch bei zu vielen iterationen
if i > maxit
break;
end
% berechne naechsten vektor
xk = A * xk;
xk = xk / det(xk);
% berechne naechsten eigenwert
lk
% myPotenzmethode.m end
|
%
% bc = 3
% number = 3;
% dis = 5;
%
% dx=l-2*bc;
% dy=w-2*bc;
%
% lines = 4
% numofpoint = lines*2; |
function [ sediment_concentrations, sediment_params, sediment_matrix_templates] = sediment_init( pH, max_depth, temperature, rate_estimator_switch)
% Input:
% bottom pH of the lake, temperature at SWI.
% Output:
% init sediment_concentrations - concentrations read from file
% sediment_params - all sediment p... |
function carr = importFolderResp(folder)
if (~exist(folder, 'dir'))
"couldnt find requested folder" %#ok
else
lf = cd(folder);
I = dir( "*.csv");
% for the ith file in I read file to ith index
for i = 1:1:length(I)
vinfo = textscan(I(i).name,"resp_testPattern%d_%d.csv");
carr{vinfo{1},v... |
function [nv, ne, edgs, sibhvs, v2hv, vvs] = pinchoff_curv(vid1, vid2, nv, ne, ...
edgs, sibhvs, v2hv, vvs) %#codegen
%PINCHOFF_CURV Pinch-off a curve locally.
% [NV, NE, EDGS, SIBHVS, V2HV, VVS] = ....
% PINCHOFF_CURV(HVID1, HVID2, NV, NE, EDGS, SIBHVS, V2HV, VVS)
% pinches off a curve locally at vertice... |
function varargout = iq2prob_02(varargin)
% iq2prob_02: calibrate iq to qubit state probability, |0> and |1>
%
% <_f_> = iq2prob_02('qubit',_c&o_,'numSamples',_i_,...
% 'gui',<_b_>,'save',<_b_>)
% _f_: float
% _i_: integer
% _c_: char or char string
% _b_: boolean
% _o_: object
% a&b: default type is a, but type ... |
%r = zadoffchu(n, N_zc, u = 1)
%
% Generates a u-th Zadoff-Chu sequence of length N_zc.
%
% Arguments:
% n - vector of indices
% N_zc - length of ZC sequence
% u - sequence number
%
% Returns:
% r - Zadoff-Chu sequence
% Copyright 2017 Grzegorz Cisek (grzegorzcisek@gmail.com)
function [r] = zadoffchu (n... |
% Script for plotting ground truth/estimated state histories and inertial
% parameters
clear
close all
%% Ground Truth
%
% chaser_truth_pose = readmatrix('chaser_gt_pose_stat_good_DEC10.csv');
% chaser_truth_twist = readmatrix('chaser_gt_twist_stat_good_DEC10.csv');
% chaser_est_pose = readmatrix('chaser_est_pose_sta... |
%學號:B41052021
%姓名:許文杰
clear
A=[123];
B=[-1 3 -1];
% dot
c=dot(A,B)
%cross
D=cross(A,B) |
function nice_barplot(y,x,c1,c2, boxon, pointOn)
if nargin < 3
c1 = [0 0 0];
c2 = [1 1 1];
end
if nargin < 5
boxon = 1;
pointOn = 1;
end
y = y(~isnan(y)); %remove NaNs
barWidth = .6;
wisOffset = barWidth./6;
linewidth=2;
boxColor = [0 0 0];
wisColor = [0 0 0];
meanColor = [0 0 0];
faceColor = c2;
... |
function Res = CalcV_all(H)
%计算船的总体积
[A,B] = setValue();
if nargin == 0
[~,~,H] = setValue;
end
syms x
y0 = sqrt( (H - A*x.^2)/B);
VolMin = vpa(-sqrt(H/A),4);
VolMax = vpa(sqrt(H/A),4);
funVol = (H-A*x.^2) .* y0 - y0.^3 * B/3;
Res = 2*int(funVol,VolMin,VolMax);
end |
rgbImage = imread('/home/nofear/Downloads/image1.jpg');
[rows columns numberOfColorBands] = size(rgbImage);
set(gcf, 'Position', get(0, 'ScreenSize'));
imshow(rgbImage, []);
title('Original Color Image', 'FontSize', 20);
col1 = 1;
col2 = floor(columns/2);
col3 = col2 + 1;
row1 = 1;
row2 = floor(rows/3);
row3 = row2 ... |
function policySearchMouselabMDPSavio(c)
addpath('/global/home/users/flieder/matlab_code/')
addpath('/global/home/users/flieder/matlab_code/MatlabTools/')
%% Direct Policy Search
nr_episodes=1000;
ER_hat=@(w) evaluatePolicy([w(:);1],c,nr_episodes);
d=2;
x_input_domain = [-1 1; -1 1];
nb_iter=25;
result_display=true;... |
% Other params will be added in later eg threshold for "on" conversion and
% probably some other things
function [] = process(imagePath)
% Prepare to Supress Warning about image size
s = warning('off', 'Images:initSize:adjustingMag');
% Read image and convert to binary
image = imread(imagePath);
bw = imcomplement(im2b... |
function drivertest
% Sample script drivertest v1.33
%
% Checks for bugs in graphics drivers
%
% Usage:- drivertest
%
switch nargin
case 0
otherwise
PrintUsage
return
end
%*************************************************************
% Initialise Cogent, check the version number, open the
% graphics, get the ... |
function [ceq,ceq_grad]=ankle_push_cons(x,p)
%%
ceq1 = zeros(p.phase1_idx-1,1); % -1 since the first frame must be correct
ceq2 = zeros(p.phase1_idx-1,1);
ceq_grad1 = zeros(p.numJ,size(x,2),size(ceq1,1));
ceq_grad2 = zeros(p.numJ,size(x,2),size(ceq2,1));
% ceq2 = zeros(p.phase1_idx,1);
% ceq_grad2 = zeros(size(x,1),si... |
function [ WordSeq ] = GenerateWord(LetterSamplesFolder, Word , Class)
% Summaty:
% This function gets a connected component word as inglisg letters and
% output a 2-dimentional vector that describe the word part contour
% Input:
% Word - The word in english letters ex. 7L, 8BA
% Output
% WordSeq - 2xN d... |
clc
clear all
E= {};
experiencias.E = [];
experiencias.A = [];
experiencias.R = [];
experiencias.s_E = [];
load('RM.mat'); |
function [output] = drawline(input,d,s,r1,r2)
%照參數畫線
YCBCR=rgb2ycbcr(input);
Y=YCBCR(:,:,d);
sigma=s;
output=edge(Y,'canny',[r1 r2],sigma,'Thinning');
end
|
%***********************************************************%
% INPUT:
% DB: price data series
% Asset: complete information of trading account asset
%***********************************************************%
% OUTPUT:
% no output but plot the evolution of the trading account
%*************************************... |
function sliceTimer(root, TR, Ttag)
% interpolates the data to the center of the TR
% Assumes The first slice is acquired at TR+Tag
%
[data h] = read_nii_img(root);
Nslices = h.dim(4);
Nframes = size(data,1);
Npix = h.dim(2) * h.dimi(3);
Tslice = (TR-Ttag)/Nslices;
TRtimes = TR * ([1:Nframes] -0.5 );
outdata = zeros(s... |
function x = add_dc(y,dc,columns)
%ADD_DC Add DC channel to signals.
% X = ADD_DC(Y,DC) adds the specified DC value to the (possibly
% multi-dimensional) signal Y, returning the result as X. DC should be a
% scalar value.
%
% X = ADD_DC(Y,DC,'columns') where Y is a 2D matrix and DC is an array of
% length siz... |
%Assignement 2, Julian Hedén
clear all, close all, clc
rng(200);
%Load data
trainingSet = 'data_batch_1.mat';
validationSet = 'data_batch_2.mat';
testSet = 'test_batch.mat';
[Xtrain, Ytrain, ytrain] = LoadBatch(trainingSet);
[Xval, Yval, yval] = LoadBatch(validationSet);
[Xtest, Ytest, ytest] = LoadBatch(testSet);
%... |
close all;
clear all;
clc;
%<-----------Définition des variables----------->
tmax = 10 ; % Durée
g=10; % Constante gravitationelle
m=46*10.^-3; %Masse de la balle de golf
r=21.5*10.^-3; %<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<mettre ce que c'est
% Constantes liées aux foces extérieures s'applicant sur la bal... |
function color_balance(inPic,outPic,Rw,Gw,Bw);
in=imread(inPic);
meanIntensity=(Rw+Gw+Bw)/3;
in(:,:,1)=double(in(:,:,1)).*meanIntensity./Rw;
in(:,:,2)=double(in(:,:,2)).*meanIntensity./Gw;
in(:,:,3)=double(in(:,:,3)).*meanIntensity./Bw;
imwrite(in,outPic);
|
dirdata=dir('*.xls');
filename={dirData.name};
Temp=[];
for iFile=1:numel(fileNames)
[path,Fname,Ext]=fleparts(fileNames{iFile});
LD=xlsread(FName)
Avg=mean(LD);
Temp=[Temp;Avg]
end
|
function obs_cov = get_random_coverages(obs, c)
% GET_RANDOM_COVERAGES - returns a random collection of observations to
% form "c" full coverages. In situations where the
% desired number of observations is not available
% for a given slice, all obser... |
% training FBPConvNet
% modified from MatconvNet (ver.23)
% 22 June 2017
% contact : Kyong Jin (kyonghwan.jin@gmail.com)
clear
reset(gpuDevice(1))
restoredefaultpath
run ./matconvnet-1.0-beta23/matlab/vl_setupnn
load preproc_x20_ellipse_fullfbp.mat
W = 512; % size of patch
Nimg= 500; % # of train + test set
Nimg_te... |
function Td = pintalampo(dp,p)
T = 23 + 273; % lämpötila, K
M = (2 * 1.008 + 15.999)*1e-3; % veden moolimassa, kg/mol
R = 8.3144598; % kaasuvakio, J/mol*K
D = 0.282e-4; % veden diffuusiokerroin, (m^2/s)
L = 2260e3; % veden höyrystymislämpö... |
function isLegal=isLegal(x,y,board,turn)
[rows cols]=size(board);
isLegal=false;
currentPos=turn*10+turn;
[cRow cCol]=find(board==currentPos,1);
if(board(x,y)==0)
if ((x-1==cRow || x+1==cRow)&& y==cCol)
isLegal=true;
elseif((y-1==cCol || y+1==cCol)&& x==cRow)
... |
function[mov]=transformationVideo(video, nbreTrame, imIncruste)
%Initialisation
mov = VideoWriter('F_1.avi');
open(mov);
[imBase] = read(video,1);
%Positionnement des coins initiaux de la feuille
figure; imshow(imBase);
nbPoints = 4;
[XNow,YNow]=ginput(nbPoints);
%Initialisation... |
function error = L1_noprior_solver(H,y,x0,k)
% function [A,C]= sysGen(m,n)
% Description:
% min||y-Hx||_{l1}
% Inputs:
% H: [N-by-n] system parameters
% y: [T*m-by-1] measurements in T time horizon
% x0: [n-by-1] actual initial state
% k: [scalar] number of... |
function g_ij = mth_os_mt_cov(e, a, eta)
% MTH_OS_MT_COV computes the covariant matric tensor g_ij of the
% oblate spheroidal coordinate system.
%
%-----------------------------------------------------------------------
% Copyright 2020 Kurt Motekew
%
% This Source Code Form is subject to the terms of the Mozilla Publi... |
function output = readStrfile(filename,minTime,maxTime,tsamp,maxPlotrec)
%
% readStrfile ver 1.0
%
% Script som läser in RELAP5 stripfil (plotvariabler i textformat)
%
%
% syntax: readStripFileGUI(filname,minTime,maxTime,tsamp,plotrecCnt)
%
% Input
% filename = sökväg till .str-fil (string)
%... |
%Joint angles of Wearable Jacket connected with Kinect
clear all; close all; clc;
telapsed = 0;i = 1;tt = 0;lkinef = 0;font = 18;flag=0;
addpath('F:\github\wearable-jacket\matlab\KInectProject\Kin2');
addpath('F:\github\wearable-jacket\matlab\KInectProject\Kin2\Mex');
addpath('F:\github\wearable-jacket\matlab\KInectPr... |
%OpenCLInterface Class: Provides a wrapper for interfacing with OpenCL.
%Create an object of this class to be able to run any kernel on any device
%that supports OpenCL and query all the devices available to the system.
% Copyright (c) 2014, MESC Labs
% All rights reserved.
%
% Redistribution and use in sourc... |
function [ outImg ] = invert_L( inImg )
x = inImg;
for y = 1:3
x(:,:,y) = 255 - x(:,:,y);
end
outImg = x;
end |
%% Now become the observer
% So now I can only observe the Y values. You told me the weather and I am
% going to try and predict where you are located.
%first get the weather
%b=weather (y values)
clear, close all
generateDataWithGivenPiQR
b=y
%We are using Bayes rule to calculate the probability of X given Y.
%Need:... |
function [isect_m, cell_m, length_v] = ...
signalIntersection(obj,rayIn, plumeIn)
% rayIntersection Calculate intersection of ray with Plume
% Input: rayIn (ray3D)
% plumeIn (Plume)
% Output: isect_v (M+1x3) Intersection points
% cell_m (Mx3) Location ... |
% $Header: svn://.../trunk/AMIGO2R2016/Kernel/OPT_solvers/sres/AMIGO_SRES.m 770 2013-08-06 09:41:45Z attila $
function [xb,BestMin,neval,cpu_cost,conv_curve,x] = AMIGO_SRES(fcn,inputs,results,privstruct)
%********************************************************************************
% AMIGO_PE_SRES: modification of S... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
% Description: find clusters using agglomerative hierarchical clustering
%
% Input:
% D: n-by-p matrix of input data
%
% Output:
% best_cmbrship: best cluster memberhsip
% best_cvi: best cluster validity index value
% ... |
%d = nr_38_212_rate_unmatching_ldpc(g, base_graph, N_layers, Q_m, rv_id, tbs)
%
% Performs rate un-matching and code block de-concatenaion of 5G NR SCH according
% to 3GPP 38.212 sec. 5.2.4 and 5.5.
%
% Arguments:
% g - vector of concatenated LLR
% base_graph - LDPC base graph (1 or 2)
% N_layers - numb... |
% [xzg,s,x,z]=fit_min2D_buckle(xzgInit,sInit,xx,zz,Lx)
% fit (X,Z) to an Esuler buckling shape, minimizing the sum of squares i
% both x and z-directions.
%
% fit function: x(i) = x0 + Lx*X(s(i),g);
% z(i) = z0 + Lx*Z(s(i),g)
%
% objective fun: sum_i (X(i)-x(i))^2+(Z(i)-z(i))^2
%
% free fit parameters: x0... |
function varargout = ArbitrageGUI(varargin)
% ARBITRAGEGUI MATLAB code for ArbitrageGUI.fig
% ARBITRAGEGUI, by itself, creates a new ARBITRAGEGUI or raises the existing
% singleton*.
%
% H = ARBITRAGEGUI returns the handle to a new ARBITRAGEGUI or the handle to
% the existing singleton*.
%
% AR... |
function compute_initial_coords(gtobs,hobs)
epoch_count=0;
obs=[];
for i=1:5
[obs_epoch staifo cdate gtcount]=getobs2(gtobs,hobs,epoch_count);
obs=[obs;obs_epoch];
end
% There are 5 epochs of data in ofile1
for q = 1:20
[time1, dt1, sats1, eof1] = fepoch_0(fid1);
NoSv1 = size(sats1,1);
% ... |
function carrierType_prs(obj, evt, stage)
hndl = get(gcf, 'Userdata');
hndl = get(hndl.mainFig, 'Userdata');
switch stage
case 1
hndl.setting.Pre.carrier.carrierType_P = get(obj, 'Value');
switch hndl.setting.Pre.carrier.carrierType_P
case 1
set(hndl... |
function scdata = scaledata(data,u)
%===============================================================================
% SCALEDATA
% Scale time series data by a scalar factor u.
%
% OUTPUT
% scdata Scaled data.
%
% INPUT
% data (1) data vector
% (2) matrix where each row episode or trial
% ... |
function [ pix ] = patch_filtered_pix( x, y, img, h )
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
% patch_size = 9;
window_size = 21;
pix = 0.0;
patch_init = img(round(max(1, x-4)):round(min(x+4, size(img, 1))), round(max(1, y-4)):round(min(y+4, size(img, 2))));
... |
h5create('timeseries_MEG.h5','/100307/1',[360 length(timeseries1)],'Datatype','double', ...
'ChunkSize',[360 1018],'Deflate',9)
h5create('timeseries_MEG.h5','/100307/2',[360 length(timeseries2)],'Datatype','double', ...
'ChunkSize',[360 1018],'Deflate',9)
h5create('timeseries_MEG.h5','/100307/3... |
function [ut, up, ub] = mth_helix_tpb(r, c, t)
% MTH_HELIX_TPB Computes unit basis vectors associated with a circular
% helix originating about the Cartesian reference frame origin and
% spiraling about the z-axis.
%
%-----------------------------------------------------------------------
% Copyright 2018 Kurt Motekew
... |
%Author: Salma Elmalaki
%selmalaki@ucla.edu
% Get the charging duration ... How long it was plugged
% Get the time of the day when it is plugged
function [ chargingintervals, timeofdayplugged] = getChargingDuration( pluggeddata, leveldata, id )
path='../../user-datasets/CambridgeDataGenerated/';
%Make a local co... |
%% Mutual Information Demo 1
% This demo goes through calculating the mutual information for time locked
% trials from two discrete time series.
% Data Type: Discrete
% Number of Variables: 2
% Information Analysis: Mutual Information
% Trial Based or Single Trial: Trial Based
% Significance Testing: Off
% De... |
% Dispersion Relation for 2D Graphene
% Can be modified for 2DEG materials
%
% Properties of Graphene Sample taken from:
% Terahertz plasmonics in ferroelectric-gated graphene
% Define frequency sweep
w = 2*pi*linspace(0,14e12, 1000);
ep0_0 = 41.5;
ep0_inf = 19.5;
epe_inf = 10;
epe_0 = 26;
w_t0 = 2*pi*4.6e12;
w_te ... |
function drawImages(wPtr, imageMap, fileNames, widths, heights, hOffsets, ...
vOffsets, xc, yc)
for iImage = 1:length(fileNames)
imageWidth = widths(iImage);
imageHeight = heights(iImage);
imageStruct = imageMap(fileNames{iImage});
if (isnan(imageWidth) || isempty... |
function [ feature_v ] = featureLogVariance( enf )
%compute log variance
feature_v = log(var(enf));
end
|
function [C, sigma] = dataset3Params(X, y, Xval, yval)
%EX6PARAMS returns your choice of C and sigma for Part 3 of the exercise
%where you select the optimal (C, sigma) learning parameters to use for SVM
%with RBF kernel
% [C, sigma] = EX6PARAMS(X, y, Xval, yval) returns your choice of C and
% sigma. You should co... |
function [flash_time, flash_color, flash_zone, flash_pos, flash_color_name, target_flash_time] = convert_flash_sequence(x, green_or_cyan)
flash_time = [x.red_distractor_flash; x.green_distractor_flash; x.white_distractor_flash];
flash_pos = [x.red_flash_pos; x.green_flash_pos; x.white_flash_pos];
flash_color = [on... |
function [label, D_atom, dist, counter, index] = eNN_BSearch(obj,pts,epsilon,batch_size)
% eNN_BSearch: epsilon nearest neighbors batch search
% input:
% pts: enquery points, dxN, with d points of dimension N
% epsilon: error of eNN search
% batch_size: batch search size, d... |
% ---------------------------------------------------------
% exampleSummary
% ---------------------------------------------------------
% Dynalog Analysis Package
% Michael Hughes December 2010
% ---------------------------------------------------------
% This is an example showing how to use various functions
% in th... |
function Mpause(str)
disp(str);pause;
% Mpause=@(str) (eval(['disp(str);pause']));
end |
% inscore : normal score BACK transform
%
% CALL :
% d=inscore(d_nscore,o_nscore)
%
% d_nscore : normal score values to be back transformed
% using the 'o_nscore' object, obtained using
% 'nscore'
%
% See also nscore.m
%
function d_out=inscore(d_normal,o_nscore,style)
if nargin<3
style='... |
function [TTS,PIndexTrain,PIndexTest] = MakeTTS(nExmpl,nTrain,nTrainParts, nTestParts);
%function [TTS,PIndexTrain,PIndexTest] = MakeTTS(nExmpl,nTrain,nTrainParts, nTestParts);
%
%nExmpl is the total number of examples
%nTrain is the number of examples to reserve for training.
%
% below are optional
%
%nTrain parts is ... |
% The data for experiment 2 can be found in
% '/Volumes/BCI_Data/own_experiments/motor_imagery/movement_detection/long_
% movements/'
%
% First, make sure you have the following folders added to your matlab path:
%
% 'BCI_code/toolboxes/jf_bci/'
% 'BCI_code/toolboxes/classification/'
% 'BCI_code/toolboxes/eeg... |
function llr = score_gmm_trials_onlyGMM(models, testFiles, trials)
% computes the log-likelihood ratio of observations given the UBM and
% speaker-specific (MAP adapted) models.
%
% Inputs:
% - models : a cell array containing the speaker specific GMMs
% - testFiles : a cell array containing feature matric... |
function [ y ] = propSig(p,q,W,s)
% Computes the propagation of a signal s from layer p to layer q
if (size(W,1)~=size(W,2))
disp('dimension Mismatch propSig');
end
if (size(W,1)~=size(s,1))
disp('dimension Mismatch propSig');
end
g = @nonLin;
y = s;
for i=p:q-1
temp = g(W(:,:,i)*y);
y=temp;
en... |
function quant = findmininvect(x,method,def_quant,belowquant)
%Function in CycIF_Segmentation_normfit_opencellsizeover5_medianpercell
%shave off excess of cell
x = real(x);
x = x(x>0);
if length(x) >0
[n,h] = ksdensity(x);
[~,maxima_loc,widths,~] = findpeaks(n);
num_peaks = length(maxima_loc);
if method == 1 % ie 'mi... |
function [ F ] = f_alpha( RP, alpha )
%F_ALPHA calculate total model accuracy using "recall" and "precision"
%measures.
% F = f_alpha( RP, alpha ) calculate F_alpha accuracy measure for every
% RP row (recall, precision) using `alpha` as a weight.
label_count = size(RP,1);
F = zeros(label_count,1);
fo... |
function test_PID_para
%画不同参数下位置变化图
close all
global dt lim_v
% PID=[0.3 0.5 0.3;%Kp Ki Kd
% 0.9 0.5 0.3;%第二组参数
% 1.5 0.5 0.3];
PID=[1.5 0.1 0.3;%Kp Ki Kd
1.5 0.2 0.3;%第二组参数
1.5 0.5 0.3];
% PID=[0.9 0.9 0;%Kp Ki Kd
% 0.9 0.9 0.5;%第二组参数
% 0.9 0.9 0.9];
D=0;%目标位置
lim_v=1;%是否有速度限制
dt=0.1;%仿真步长
t=10... |
function [lon, lat] = dg_llg2lld(longg, latgg)
% this function convert from glider lon/lat to lon/lat in decimal degrees
% DG 20121012
dbstop if error
if size(longg,2) > 1
longg = longg';
end %if
nnanind = find(~isnan(longg) & (longg <= 36000 & longg >= -18000) & (latgg >= -9100 & latgg <= 9100));
lon = repmat(N... |
%--------------------------------------
% Chris Dalke
% CSC 249 - Homework 02
%--------------------------------------
% Takes in a region image and
% deletes regions below a minimum size.
%--------------------------------------
% Function Definition
%--------------------------------------
function returnImage = Delete... |
classdef (Abstract) Appender < handle
%APPENDER Interface for performing output of log messages.
%
% Appender implementations perform the actual output of log messages. New
% output strategies must implement this interface.
properties
% The name of the Appender.
name = 'Undefined';
end
methods(Abstract)
... |
function [n, s] = find_y(x,y)
ndata = size(x,1);
% Create matrix to hold points and pairwise distances
pts = [x,y];
d_c = zeros(nchoosek(ndata,2),3);
k = 1;
for i = 1:ndata
for j = i+1:ndata
d_c(k,1) = pdist([pts(i,:);pts(j,:)],'euclidean');
d_c(k,2) = ... |
% Rotate all vertex coordinates.
% - If two or three arguments are provided, the second is assumed to be the
% rotations translation matrix and the third a flag that indicates whether
% or not it should be inverted.
% - If six arguments are provided, they are assumed to be the rotation and
% translation values.
func... |
% output time series of transformations
function leg_frame = crankKinematics(leg_length, crank_angle)
abduction_max = pi/4;
abduction_angle = abduction_max*(sin(crank_angle)<0);
sweep_amp = pi/4;
sweep_angle = sweep_amp*cos(crank_angle);
R = angle2dcm(0,sweep_angle,abduction_angle);
T = R*[0 0 -leg_length]... |
%%%Simulate Particles orbiting and combining
close all
clear
clc
global m
Numparticles = 10;
load('data/10.mat');
%%Generate Vectors
xpos_vec = [0];
ypos_vec = [0];
xvel_vec = [0];
yvel_vec = [0];
m = [0];
r = [0];
xposition = [-50 50 0];
yposition = [0 0 50];
%%Generate initial conditions
pos = 100;
vel = 100;
for... |
%% Machine Learning Coursework 2015
% Regression Models to predict online news popularity
%%By: Arshad Ahmed
%%
%%Import and Check data
%%
d = readtable('OnlineNewsPopularity.csv');
[n k] = size(d)
d(1:10,:)
colnames = d.Properties.VariableNames
colnames = colnames(:,3:end)
%Drop unnecessary columns and check
%%
d = d... |
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