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classdef GardnerSmallRoomPlugIn < audioPlugin
properties
mix = 0;
gain = 0.5;
Fs = 48000;
gardner;
end
properties (Constant)
PluginInterface = audioPluginInterface(...
audioPluginParameter('mix',...
'DisplayName', 'Mix',...
'Label',... |
function d = DuijDdi(Vi, Vj, Gij, Bij, deltai, deltaj)
d = -DuijDdj(Vi, Vj, Gij, Bij, deltai, deltaj); |
function [seq,M] = sample_genome_sequence(n,st)
% (do not modify function)
%
% INPUT:
% n - length of whole genome
% st - strength of chain
% OUTPUT:
% seq - single-read
% M - transition matrix
X = 4; % ATCG
bits = log2(X);
% //
bleed_src = st;
% start with a transition matrix
prow = normcd... |
function varargout = draw_rect_try(varargin)
clc
clear
global seg_window
fontsize1=12;
fontsize2=10;
fontsize3 = 14;
seg_window = 1.0; % x lim of the plotwindow
seg_time = 0.2; % minor xtick on time axes
color_set = [0.2 0.8 0.8];
time_stx = 11*0.06;
w1 = 0.1;
hMainFigure = figure('Name', 'ICG ... |
function [J] = nnclassSVfast(traces,varargin)
% function [J rJ] = nnclass(traces)
%
% performs a nearest neighbor classification
% traces: [cells classes trials]
%
% MF 2011-08-25
params.repetitions = 1;
params.cells = size(traces,1);
params.frames = 0;
params.trials = 0;
params = getParams(params,varargin);
if par... |
function idx = findClosestCentroids(X, centroids)
%FINDCLOSESTCENTROIDS computes the centroid memberships for every example
% idx = FINDCLOSESTCENTROIDS (X, centroids) returns the closest centroids
% in idx for a dataset X where each row is a single example. idx = m x 1
% vector of centroid assignments (i.e. eac... |
classdef AnalysisBuilder
%% ANALYSISBUILDER - INACTIVE - is a builder design pattern for imaging analysis objects% Version $Revision$ was created $Date$ by $Author$,
% last modified $LastChangedDate$ and checked into svn repository $URL$
% Developed on Matlab 7.13.0.564 (R2011b)
% $Id$
% N.B. c... |
if collector.options.printTimings
ticCalcOT = tic;
end
%mu_diff = q_b.mu'-models.shapeModel.mu';
%product = sigmaML^-1*double(mu_diff') - sigmaML^-1*WML*M*(WML'*mu_diff');
%productB = product(idxProd) - (sigmaML^-1*mu_diff(idxProd) - sigmaML^-1*sum(WML(idxProd,:)'.*(M*squeeze(sum(reshape((WML(idxPrecB,:)'.*repmat(res... |
function colmap = cmapL(colors, n)
%
% Create a custom colormap from multiple RGB triplets or a string
% If only one RGB triplet is given, that color will be the maximum color,
% the minimum color will be black
%
%
% colmap = cmapL(colors, n);
%
% EXAMPLES:
%
% img = zeros(124); % first create an image to use the co... |
function LEDs=decUpdateLEDs(changedArm,turnArm,LEDs,permuteLEDs);
% Randomly select a new LED to turn on
iShift=0:3:(sum(changedArm)-1)*3;
turnArm=turnArm(changedArm);
turnArm=turnArm+iShift; % Convert arm to index #
newArm=rand(sum(changedArm)*3,1); % Randomly select new LED
newArm(turnA... |
function [testClassPredicted]=nmfClassifier(trainSet,trainClass,testSet,testClass,option)
% NMF classifier.
% Usage:
% [testClassPredicted,sparsity]=nmfClassifier(trainSet,trainClass,[],testClass)
% [testClassPredicted,sparsity]=nmfClassifier(trainSet,trainClass,testSet,testClass)
% [testClassPredicted,sparsity]=n... |
function [ chromosome ] = mutation( chromosome , mutation_type)
%MUTATION Mutation factory
if (nargin == 1)
mutation_type = 'bit';
end
if (randi([1,25]) ~= 5)
return;
end
if (strcmp(mutation_type, 'bit'))
chromosome = mutation_bit(chromosome);
end
if (strcmp(mutation_... |
%% MASCRET Quentin - Copyright 2017
% 2017-03-18
function [index, mu]=kmean(data,clusters, loop)
%% initialization
% choose points of feature as the starting center
[n,m]=size(data);
random_number=randperm(m);
random_number=random_number(1:clusters);
mu=data(:,random_number);
%% allocation
... |
function bshiftauto = shiftavg(oldbmat)
%bshiftauto = shiftavg(oldbmat, avgmatrix)
%Generates shift to 0.
%bshiftauto : output allbmatrix with shift
%oldbmat : input allbmatrix
negshiftmat = suggestavg(oldbmat);
bshiftauto = cell(size(oldbmat));
for mrow = 1:size(oldbmat,1);
for mcol = 1:size(oldbmat,2);
... |
train_label_file='label-train.dat';
train_data_file='code-train.dat';
test_label_file='label-test.dat';
test_data_file='code-test.dat';
train_x = readBinary(train_data_file);
test_x = readBinary(test_data_file);
train_y = readBinary(train_label_file);
test_y = readBinary(test_label_file);
n = 12;
train_b = zeros(si... |
function x = cardanos(coef)
%Checking to see if there is the correct number of inputs
if (length(coef) ~= 4)
%Checking to see if the input is missing the x^2 term
if (length(coef) == 3)
opts.Interpreter = 'tex';
opts.Default = 'Yes';
... |
function [result_GLM_Full, result_LN] = ...
runLearningModels(trainStimulusDesignMatrix, testStimulusDesignMatrix,...
trainSpikeHistoryDesignMatrix, testSpikeHistoryDesignMatrix,...
interpMatrixTrain, interpMatrixTest, trainSpikesTrain, testSpikesTrain, stimulusFilterParamsSize, binsInSecond,initStimulusFil... |
% use configs structure to store configurations needed in the analysis
configs = getConfigs();
subjects_list = configs.subjects_list;
load( 'results/subject01_session1_avg1.mat' );
classifiers_list = fieldnames(models)';
validation_accuracies = nan(length(subjects_list) * configs.NSESSIONS, length(classifiers_list), ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% main file for analysis of strength trials (isometric and isokinetic)
% Marie Moltubakk 26.10.2016
%
% The scripts assume a certain structure for input files from Tracker and
% Noraxon. I.e. number of and order of EMG and other channels. If these
% scripts are to be used fo... |
%%% This code makes the plot of epistasis in a toy metabolic network in
%%% Figure 3B. Note that in this code, metabolites the labels of
%%% metabolites 2 and 5 are switched relative to Figure 3B.
%%% Update 21 Dec 2020 (SK). Minor modifications to the code and
%%% annotations: using get_u_eu function, which itself no... |
function plot_log_min_distance(h,t,H1,H2)
% Plotting the L1 norm of the solution
dh = abs(H1 + h(1:end/2,:) - H2 - h(end/2+1:end,:));
plot(log10(t), log10(min(dh,[],1)),'.k');
xlabel('log_{10}(t)');
ylabel('log_{10}(Min. vertical distance)');
end |
% Written by Navid Lambert-Shirzad 20170113
function main_reduce_filter_ICORR2017
gaussEqn = 'a*exp(-x/b)+c-d/x';
startPoints = [2 2 2 2];
syms x
pp = 0.89; %plateau percentage
for SubjectIDs = 1:10
if SubjectIDs < 10
SubjID = strcat('0', num2str(SubjectIDs));
else
... |
function f = tuneEKFParams_allParts(x)
%Full Body LG EKF and EUL EKF for the boxing CMU data
%Load up the generated model
% EKFCodePath = 'C:\Users\kgwester\Documents\ResearchWork\CloudSLAM\lg_persontracking\';
EKFCodePath = 'C:\Users\kgwester\Documents\ResearchWork\MatlabWrapper\';
addpath(genpath(pwd));
addpath(EK... |
% This is free software: you can redistribute it and/or modify
% it under the terms of the GNU Lesser General Public License as
% published by the Free Software Foundation, either version 3
% of the License, or (at your option) any later version.
%
% This is distributed in the hope that it will be useful,
% but WITHOUT... |
function vals_ = ddcGau2(fits, data)
% function vals_ = ddcGau2(fits, data)
%
% 1 parameters: A, lapse
%
% Computes performance predicted by DDM with perfect accumulation.
% Assumes DD to a fixed TIME (given as col 2 of data).
% Thus, pct correct is fraction of gaussian above
% 0 at TIME.
%
% at values in "... |
function drawMultipleSignalMaps(map, masts, AntennaDirection, H, signalMap)
% Draws signal maps stored pagewise along dimension 3 of the input
% signalMap
close;
numMaps = size(signalMap,2);
for m = 1:numMaps
subplot(1, numMaps, m);
drawSignalMap(map, masts, AntennaDirection, H, signalMap(:,m));
opos = get(gca, 'Outer... |
clc;clear all;clf;
format long;
%out_file = fopen('C:\Users\Heath\Google Drive\gflash tests\Mixed_debug\cpp_interface\out.txt','r');
out_file = fopen('C:\Users\Heath\Google Drive\gprs_fromMartin\BasalCase\out_290.txt','r');
IN = fscanf(out_file, '%g' ,[6,inf])';
fclose(out_file);
status = round(IN(:,1));
pres = IN(:,... |
function [errors] = error_calc(pred,y)
errors = 1-mean(pred==y);
end |
clear;clc
num=1000;
while 3 %只要不是0，條件就永遠成立
if isprime(num)
break %如果num是質數就跳離這層迴圈
else
num=num+1;
end %end if
fprintf('num=%d \n',num)
end %end for while
fprintf('2.. num=%d \n',num) |
classdef SWEFaceFluxSolver1d < SWEAbstractFaceFluxSolver
%SWEFACEFLUXSOLVER1D 此处显示有关此类的摘要
% 此处显示详细说明
properties
end
methods
function [ fluxS ] = evaluate( obj, hmin, gra, nx, fm, ~ , ~)
[ fluxS ] = mxEvaluateSurfFlux1d( hmin, gra, nx, fm);
end
end
end... |
function [loss] = rank_loss(ranks, Ytest)
loss = 0;
for i = 1:size(ranks,1)
[~, idx] = find(ranks(i, :) == Ytest(i));
loss = loss + 1 - 1/idx;
end
loss = loss/size(ranks,1);
|
% angle difference between 2 vectors u and v
% normalized to (-pi,pi]
function da = anglediff(u, v)
if (length(u) == 2)
a1 = atan2(u(2),u(1));
a2 = atan2(v(2),v(1));
da = normalizeAngle(a2-a1);
else
da = acos(dot(u,v)/(norm(u)*norm(v)));
end
end |
clc
clear all
close all
SOL=@(x,y) sin(pi*x)*sin(pi*y)+1;
MSOL=@(x,y) -2*pi^2*sin(pi*x)*sin(pi*y);
%SOL=@(x,y) sin(pi/2*x)*cos(pi/2*y);
%MSOL=@(x,y) -1*pi^2/2*sin(pi/2*x)*cos(pi/2*y);
DIF=1.0;
XMIN=0.0;
XMAX=1.0;
YMIN=0.0;
YMAX=1.0;
N=5; % KV's in einer Koordinatenrichtung, macht N^2 KV gesamt
NN=N*N;
X = linspace(XMI... |
function varargout = ProjectThanhVy(varargin)
% PROJECTTHANHVY MATLAB code for ProjectThanhVy.fig
% PROJECTTHANHVY, by itself, creates a new PROJECTTHANHVY or raises the existing
% singleton*.
%
% H = PROJECTTHANHVY returns the handle to a new PROJECTTHANHVY or the handle to
% the existing singleton... |
% Analyse en composantes principales
function [coeff, score, latent] = PCA(X)
% calcul de la matrice de variance/covariance
n = size(X, 1);
Xc = X - mean(X, 1);
Sigma = (1 / n) * (Xc') * Xc;
% calcul des vecteurs/valeurs propres de la matrice Sigma
Sigma = (Sigma + Sigma.') / 2;
[V, D] = eig(Sigma);
[D, indices_tri] =... |
clc, clear all, close all
t = [];
p = 0.1;
episode = 1/p;
rnd = 0;
for i = 1:episode
t = [t, (p / (1 - p * mod(rnd, 1/p)))];
rnd = rnd+1;
end
rndVec = 0:length(t)-1;
figure(1)
h1 = plot(rndVec, t, 'color', 'r');
legend([h1(1)], 'LEACH')
ylim([0 1])
xl... |
function [respuesta,error] = gaussJacobi(matriz,b,tolerancia)
%https://www.maa.org/press/periodicals/loci/joma/iterative-methods-for-solving-iaxi-ibi-jacobis-method
[filas,~] = size(matriz);
D = zeros(filas);
L = zeros(filas);
U = zeros(filas);
for i=1:filas
for j=i+1:filas
L(i,j) = matriz(i,j);
end
... |
path = "model_vsoc_sweep_p5a_to_40a_03\model_sim_v_vs_soc_";
D={};
for i=1:0.5:40
str_id = replace(string(i),".","p");
filename= path + str_id + ".txt";
%read data from file
data = csvread(filename);
dv1 = data(:,1);
ds1 = data(:,2);
dv2 = data(:,3);
ds2 = data(:,4);
... |
close all
clear
data_path = 'E:\AsthmaInhaler\annnotated-data\';
dats = ls(data_path);
inh = 0;
exh = 0;
cinh = 0; % correct inhale
winh = 0; % wrong inhale
cexh = 0;
wexh = 0;
minh = 0; % miss inhale
mexh = 0;
% Design an FIR equiripple lowpass filter
d=fdesign.lowpass('Fp,Fst,Ap,Ast',0.15,0.25,1,60);
Hd = desi... |
%% Current probe calibration
% Load data
load('current_probe_calibration.mat');
figure;
plot(itest,vprobe,'b*-','LineWidth',2);
ylabel('Voltaje V');
xlabel('Corriente A');
k_probe = 1/(itest\vprobe);
disp(['Probe constant: ',num2str(k_probe),' A/V']);
clearvars -except k_probe
%% Stall current
load('stall_data.mat');
f... |
function trainZ = ccaFuse(trainX, trainY, mode)
[n,p] = size(trainX);
if size(trainY,1) ~= n
error('trainX and trainY must have the same number of samples.');
elseif n == 1
error('trainX and trainY must have more than one sample.');
end
q = size(trainY,2);
if ~exist('mode', 'var')
mode = 'sum'; % Default... |
function [cechy] = wydobycie_cech(obraz)
wiersz = size(obraz,1);
kolumna = size(obraz,2);
%% dodawanie kolumn i wierszy, jeśli obrazek mniejszy niż 9x9
dodaj_wiersz = 0;
dodaj_kolumne = 0;
if wiersz<9
dodaj_wiersz = 9-wiersz;
end
if kolumna<9
dodaj_kolumne = 9-kolumna;
end
if mod(dodaj_wiersz,2)==0
obraz... |
function writevtk( dataset, fname_vtk, descript, n_xs, xs, n_elems, ...
elems, dim, datatype, orig, spac, x_coord, y_coord, z_coord)
%WRITEVTK Write a VTK File
% WRITEVTK(DATASET,FNAME_VTK,DESCRIPT,N_XS,XS,N_ELEMS,ELEMS,DIM, ...
% DATATYPE,ORIG,SPAC,X_COORD,Y_COORD,Z_COORD) Writes a VTK File, provided
% inputs des... |
function out = spdiff(Cx,rt,ct)
cc=triu(Cx);
[tmp itmp]=sort(cc(:));
[r c]=ind2sub(size(cc),itmp(end));
out=abs(rt-r)+abs(c-ct);
end |
classdef MvnInvGammaDist < MultivarDist
%MVNINVGAMMADIST
properties
dof;
ndimensions;
params;
prior;
end
methods
function model = MvnInvGammaDist(varargin)
[model.params.mu, model.params.Sigma, model.params.a, model.params.b] = processArgs(varargin,...
'-mu', [], '-Sigm... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% el outlier tirarlo con sigmas.
% hacer try catch
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear all
close all
% cargo un perfil que tenga ceros, para que el algoritmo los descarte
% frame = imread('C:\Users\60069978\Documents\MATLAB\frame_umbral_102_x_270_y_600.png');
frame = im... |
function [ preHi, idx ] = preHigh( nav )
%PREHIGH 计算nav序列的前高值，结果是单调增序列
% ----------------------------------
% 程刚，20150510
%% main
nP = size(nav,1);
preHi = nan(nP,1);
idx = nan(nP,1);
for i = 1:nP
[preHi(i),idx(i)] = max(nav(1:i));
end
end
|
% This generates the Voronoi cells for the cluster points
% Variables to change, could be args to a function later
filename = '55_4.txt';
numClusters = 12;
% first we read in the data
all = importdata('55_4.txt',' ',0);
all = all(:,2:21);
% then we do a k-mean clustering
[idx,X,sumd,D] = kmeans(all,numClusters);
% t... |
% compute the GMSD scores for given `ref` & `dst` features.
function score = compute_gmsd(ref, dst)
dims = size(ref, 3);
score = zeros(dims, 1);
for i = 1:dims
gm1 = ref(:,:,i);
gm2 = dst(:,:,i);
quality_map = (2*gm1.*gm2 + 255) ./(gm1.^2+gm2.^2 + 255);
score(i) = std2(quality_map);
end
en... |
%% Load data from file
if exist('raw_DS', 'var') == 0
clear all;
fhandle = fopen('data2', 'r');
raw_DS = textscan(fhandle, '%s %s %s %s %s %s');
fclose(fhandle);
end
disp('done till here')
%% Create processable datasets
if exist('act_DS', 'var') == 0
n_data = size(raw_DS{1},1);
DS = datenum(st... |
function varargout = durationListMode(filename)
%DURATIONLISTMODE determines the duration of Inveon LM file
%
% USAGE:
% duration = durationListMode(filename)
%
% INPUT:
% o filename: The filename of the listmode (optional)
%
% OUTPUT:
% o duration: Duration of the listmode in seconds.
% ... |
input = 'rarun_05.nii';
[raw h] = read_img(input);
spraw = raw;
for n=1:h.tdim
fprintf('\rspatial smoothing ... %d', n);
s = raw(n,:);
s=reshape(s,[h.xdim, h.ydim, h.zdim]);
s = mrfilter(s,[h.xsize, h.ysize, h.zsize]);
spraw(n,:) = s(:)';
end
tspraw = timesmooth (spraw);
write_img('blurry.img',tspr... |
I = imread('mandrill.png');
TF = fftshift(fft2(I));
TF = abs(TF);
TF = log(1+TF);
figure();
subplot(1,2,1);
imagesc(I);
subplot(1,2,2);
imagesc(TF); |
function OutData = eval(This,InData,Range,varargin)
% eval Evaluate neural network.
%
% Syntax
% =======
%
% S = eval(M,D,Range,...)
%
% Input arguments
% ================
%
% * `M` [ nnet ] - Neural network model object.
%
% * `D` [ dbase | tseries ] - Input data in the form of a database object
% or tseries obj... |
close all
%hyperIm = imread('../ortho.tif');
load('ortho_401x600.mat')
hyperIm = scaledIm;
%hyperIm = hyperIm(200:300, 300:470, :);
hyperIm = hyperIm(:,4:end,:);
% First channel in monochromatic in the 470-650 nm range
panChannel = hyperIm(:,:,1);
% Image coming from the VIS camera 470-650 nm
visIm = hyperIm(:,:,2:17)... |
raw_csv_read
f_func_v
fitted = @(x) device(8.805,-5.11,9.458,6.987,x);
x = 0:12/40:12;
B = arrayfun(fitted,x,'UniformOutput',false);
E = cell2mat(B);
y = abs(power(E,2));
from=25;
to =50;
d = data(from:to,2)+data(from:to,3);
x = time(from:to);
start = [ 10.75,-9.439,-1.184,3.5 ,0.033,70,130,-6]
start_2 = [0.05,10,15... |
cd('C:\Users\Captain Bluebear\Desktop\TP\Year 4\Semester 2 - Hillary\MA4492 - Project\MatLab')
addpath('SaliencyToolbox')
%batchSaliency - batch processing of lists of images.
% Set the images to be processeed. Here all frames are in
% the folder 'images'.
images = 'images';
%The number of fixations to be calculate... |
%% a)
% Konstanter givna i uppgiften.
gamma=[0.265,-0.995,0.882];
epsilon=0.1/max(abs(gamma));
t=linspace(0,10);
% Fall 1 (Stabil rotation)
ode45(@(t,omega)rotation(omega,gamma),t,[1,epsilon,epsilon])
title('Stabil rotation')
%% Fall 2 (Instabil rotation)
ode45(@(t,omega)rotation(omega,gamma),t,[epsilon,1,epsilon])
t... |
function [ R, t ] = PL_estimate_pose( L, x_c , normalizeHartley)
%DLT_PLUCKER_LINES Camera pose estimation from line correspondences using
% the method follows the paper: Pribyl, B., Zemcík, P. and Cadík, M.: Camera Pose
% Estimation from Lines using Plücker Coordinates, BMVC 2015,
% http://dx.doi.org/10.5244/C.29.45
%... |
function [img] = ColorTransform(img)
%ColorTransform Summary of this function goes here
% Detailed explanation goes here
if size(img,3) == 3
img = rgb2gray(img);
end
if isinteger(img)
img = double(img) / 255;
end
end
|
function cellDetections = detectCells(I, radius)
% detectNuclei detect nuclei from a fluorescent image
%
% SYNOPSIS detectCells(I, radius)
%
% INPUT
% I - input image
%
% radius - radius of the nuclei (in pixels)
% OUTPUT
% cellDetections - [amplitude x y]
%
%
ip =inputParser;
ip.addRequired('I', @isnumeric)
ip.... |
% This file is a demo of UMUTracker Project.The UMUTracker is currently under active development.
% Related information can be found in the paper :
%
% Hanqing Zhang, Tim Stangner, Krister Wiklund, Alvaro Rodriguez, Magnus Andersson
% UmUTracker: A versatile MATLAB program for automated particle tracking of 2D light ... |
function [Q,R] = qrcgs( A )
% QR-decomposition, Classical Gram Schmidt
% (numerically unstable, Q might not be very orthogonal)
% reference: Golub, Van Loan; 3rd ed; 5.2.7
% $Id$
M = size( A, 1 ); % rows
N = size( A, 2 ); % cols
if M < N
err( 'A must have number rows >= number columns' );
end;
% important: w... |
function [psiAll, PhiN, En, cnsMat] = ExactDiagTimeFx(psiInit,Ts,Ham)
%this function just takes the Hamiltonian "Ham" and calculates the dynamics
%of the initial state PsiInit
%find column eigenvectors PhiN from V(:,index) and eigenvalues En from diag(D)
[V,D]=eig(Ham);
%eigenvalues
En=diag(D);
%eigenvector... |
function [freq, gains] = gain_corr_res(M, O, S1, S2, TS, L, H)
%genarate expected times and gain for correlated signals + memoryless
rg=10:10:400;
gains = zeros(length(rg), 1);
freq = zeros(length(rg), 1);
res = residuals(M, [S1, S2]);
j = 1;
for i = rg
[a, gains(j)] = corr_res(M, O, S1, S2, TS, i, L, H);
fre... |
function loglik = markov_loglik( x,a,K )
%likelihood sequence x with markov transition KxK matrix a
nh=x(1:(end-1)) + K*(x(2:end)-1);
nh=hist(nh,1:(K*K));
nh=reshape(nh,K,K);
loglik=sum(sum(nh.*log(a+eps)));
end
|
%calculate the interfacial tension of methane + n-butane at310.95K and
%108 Bar
%reference comp. : highest boiling point
%javaclasspath('NeqSimSource.jar')
% system1 = SystemSrkEos(273.15+50, 120); %
%system1 = SystemPrEos(273.15+21,20.25);
%system1 = SystemSrkCPAs(273.15+50, 120); %
testSystem = neqsim.thermo.sy... |
function [QS,Count] = Generate_Joints(N,Limitation)
Nq = 4;
QUp = Limitation(:,2);
QDown = Limitation(:,1);
%% Reachable Workspace Visualisation
% MentoCarlo
%Joint Angles Matrix
QS = zeros(N,Nq);
QLength = zeros(1,Nq);
for i = 1:1:Nq
QLength(1,i) = (QUp(i)-QDown(i))/N;
end
% QS(:,1) = (QDown(1) + (QUp(1)-QDo... |
function [s1,s2,s3] = vekanal_plot_sym_surface(s, u, v, urange, vrange, varargin)
%%
%
% file: pcz_plot_sym_surface.m
% author: Polcz Péter <ppolcz@gmail.com>
%
% Created on 2016.09.29. Thursday, 21:30:48
%
ip.visualize = true;
ip.resolution = 20;
ip.plotter = @surf;
ip.args = {};
ip.norms = false;
ip = par... |
classdef TileSystem
properties (Constant)
EarthRadius = 6378137;
MinLatitude = -85.05112878;
MaxLatitude = 85.05112878;
MinLongitude = -180;
MaxLongitude = 180;
end
methods (Static)
function clipped = Clip(n, minValue, maxValue)
clipped = min(max(n... |
function[x, y] = transform_sq_to_coords(square)
x(1) = square(1);
y(1) = square(2);
x(2) = x(1) + (square(3)-square(1));
y(2) = y(1);
x(3) = x(2);
y(3) = y(1)+(square(4)-square(2));
x(4) = x(1);
y(4) = y(3);
|
% This is a temporary placeholder for code to support Kimbro et al. (2018) Oikos
|
function dist = rotZ_animate(Nsides)
if ~exist('Nsides', 'var') || isempty(Nsides)
testN = 5:20;
%testN = 5:100;
% testN = 6;
end
plotAnim = false;
plotIndiv = false;
plotTimePlot = true;
plotAll = false;
if length(testN) > 1
plotAnim = false;
plotIndiv = false;
%plotAll = true;
end
maxdist... |
classdef policyEXP3 < Policy
%POLICYEXP3 This is a concrete class implementing EXP3.
properties
% Define member variables
nbActions % number of bandit actions
w
eta
t
lastAction
end
methods
function init(self, nbActions)
% Ini... |
function DoRecording(recparams)
% DoRecording(recparams,blocksize)
% recparams: a structure with fields
% channels (vector)
% scanrate (scalar, estimate---actual value will be set by hardware,
% usually within 0.1% of input value)
% nscans (scalar)
% buffersize (scalar, estimate---actual value will be computed to m... |
address1 = 'https://www.bjets.com.cn/article/jyxx/';
%address2 = '.jhtml';
j = 0;
for k = 1:71,
if k == 1,
address=strcat(address1,'#');
[s, error] = urlread(address);
else
address=strcat(address1,'?',num2str(k));
[s, error] = urlread(address);
end
sep1 = strfind(s,'<table');
sep2 = st... |
%% Matlab for Brain and Cognitive Scientists
% Matlab code for Chapter 19
% Mike X Cohen
%
% This code accompanies the book
% "Matlab for Brain and Cognitive Scientists" (MIT Press, 2017).
% Using the code without following the book may lead to confusion,
% incorrect data analyses, and misinterpretations of res... |
function shoe_analytics()
%%
trya
files = matlab.apputil.getInstalledAppInfo;
[path,~,~] = fileparts(files(1).location);
pathed = strcat(path,'\shoe_analytics\code');
limit = '27-July-2029 19:30:00' ;
if datetime('now')> limit
pol = [strcat(pathed,'\athletes.mat')];
delete(pol)
... |
%% practice toggle button
clc
h = figure(1);
button = uicontrol('Style','togglebutton', 'Position', ...
[20,20,100,20],'String','Start-Stop Rec',...
'Callback', @toggleState);
|
function [projection, projectionCenter]= xpca(descrs, whiten, pca_k)
%XPCA: pca descrs in column-wise
whiteningRegul = 0.01;
projectionCenter = mean(descrs,2) ;
x = bsxfun(@minus, descrs, projectionCenter) ;
projectionCenter = projectionCenter';
X = x*x' / size(x,2) ;
[V,D] = eig(X) ;
d = ... |
clear all;
close all;
P = 2;
L = rand(P,1)+0.5;
m = rand(P,1)+0.5;
t0 = 0;
T = 3;
N = 1000;
time = linspace(t0,T,N);
dt = time(2)-time(1);
action = @(B,input) actionSE3N(B,input);
vecField = @(sigma,p) dexpinvSE3N(sigma,f(action(exponentialSE3N(sigma),p)));
%Initializations
q10 = rand(3,1);
q10 = q10/norm(q10,2... |
function [snakeCompl, snakeNom] = get_NewNomParam(snakeCompl, snakeNom, ...
snakeConst, windows, tau_Applied, dt)
len = windows.numWindows;
MdPrime = diag([1.5 * ones(1, len), ...
... |
%% Stelling 3
%
% Matlab zal tijdens het schrijven van code niet automatisch
% operatoren wijzigen en aanvullen.
%
Antwoord = 1;
|
function r = plus(p,q,varargin)
% get name of class
classname = mfilename('class');
% check if first input is the right kind of object
if(~isa(p,classname))
% check if second input is the right kind of object
if(~isa(q,classname))
% both inputs are not the right kind of object so create empty
% object and retur... |
function [wc,p] = columncycleshuffle(post,numshuff)
extend_x = repmat(1:size(post,1),size(post,2),1);
extend_y = repmat([1:size(post,2)]',1,size(post,1));
wc = weighted_corr(extend_x,extend_y,post');
pp = randi(size(post,1),size(post,1),numshuff);
wcs = NaN(numshuff,1);
% tic
for i = 1:numshuff
extend_... |
function [ik_sol] = RPR_IK(x, y, z, R)
a = 10;
b = 5;
if (((z < a + b/2) && (x*x+y*y <= ((a+b-z)*(a+b-z)))) || ((z >= a + b/2) && (x*x+y*y <= (z-a)*(z-a))))
t1 = atan2(R(2,1), R(1,1));
t3 = atan2(R(3,3), -R(3,2));
d2 = 2^(1/2)*(a + b*(sin(t3)) - z);
end
ik_sol = [... |
%-------------------------------------------
%Skin Segmentation using Random Forests
%Authors: Andrew Mendez and Oliver Nina
%
%Last Updated: 4/25/14
%main function
%-------------------------------------------
|
function [a, ae] = getML_LIPModelroc99(Monk, recompute)
% fit LIP roc areas at 99.9% coh to a piecewise-linear model
savepath = ['/work/mirror_jeff/code/matlab/tmp-mat/getML_LIPModelroc99_' Monk '.mat'];
if recompute
a = getML_txt([Monk 'TRain_LIP.txt']);
fn = a.data{strcmp(a.name,'dat_fn')};
ses... |
%[s_read_DWI6] read, save and show DWI data in LIST/DATA format.
%
%
% Last modified
% 2011.04.09.
% This script is generated and modified for using [f_read_listdata2.m].
% 2011.04.17.
% This script is generated and modified for using [f_read_listdata3.m].
% 2011.04.18.
% This script is generated and m... |
%% get_eco_types
% copies ecotypes from AmPeco.html to global eco_types
%%
function get_eco_types(localPath)
% created 2018/04/12 by Bas Kooijman, modified 2018/06/02, 2019/12/29, 2020/08/26, 2020/08/31
%% Syntax
% <../get_eco_types.m *get_eco_types*>(localPath)
%% Description
% sets global eco_types by reading from ... |
function [sigx, sigy] = sigma_parax_liny(x, y, xnorm)
% SIGMA_PARABOLIC uses a parabola for the variance at each x value
% and has a linearly increasing variance in y value.
%
% INPUT: X -- the x-values (in SuPP)
% Y -- the y-values (in SuPP)
%
% OUTPUT: SIGX -- the corresponding sigmax given t... |
function [resim2] = Median( resim)
filtreBoyutu=3;
[row,col,katman]=size(resim);
if(katman>1)
resim=rgb2gray(resim);
end
genisleme=(filtreBoyutu-1)/2+1;
baslama=((filtreBoyutu-1)/2);
resim2=zeros(row+genisleme,col+genisleme);
[row1,col1]=size(resim2);
for i=2:row1-genisleme
for j=2:col1-genisleme
... |
function [value_activation, varargout] = activation(net,nLayer,input,func)
% Berechnet die Aktivierung(Outputsignal) eines jeden Neurons in der
% gewählten Schicht.
input=input(:);
% [calc1,meann , stdd] = internal_state(net,nLayer,input,func);
% varargout = {meann,stdd};
calc1 =... |
function [X_new,Fitness_new,PS_SUCCESS_FLAG,Count]=MyPatternSearch(CalculateFitnessFunction,X_old,fitness_old,TH_num,Count)
% function [X_new,Fitness_new,PS_SUCCESS_FLAG,Count]=MyPatternSearch(CalculateFitnessFunction,X_old,fitness_old,TH_num,Count)
% Input:
% X_old:初始点
% fitness_old:初始点适应度值
% TH_num：... |
clear
close all
clc
%%%%仿真参数%%%%%%%%%%%%%%%%%%%%%%%%%%%
N_rece = 1;%接收天线数目,每个用户为单天线
N_trans = [16,64,256];%发射天线数目
N_user = 15;
SNR=-10:2:30;%仿真信噪比a
SNR_linear=10.^(SNR/10);%线性信噪比
SNR_Len=length(SNR);%仿真信噪比的数量
N_Len=length(N_trans);
Pn=1./SNR_linear;%噪声功率（假设信号功率为1）
C_csit=zeros(SNR_Len,1);%
C_mf=zeros(SNR_Len,N_Len);... |
%%
datdir = ['D:\documents\ucb\singapore\data\PMsensortest\'];
dat = importdata([datdir 'CREST_02262013\pmdata.par']);
t = dat(:,1)/1000.0;
v = dat(:,2);
while ( v(1) == 1 || (v(1) == 0 && v(2) == 0) )
t = t(2:end);
v = v(2:end);
end
PW = t(2:2:end) - t(1:2:end-1);
PWs = t(1:2:end-1);
PWe = t(2:2:end);
twind = ... |
%% parameters
M = 1.096;
m = 0.109;
b = 0.1;
l = 0.25;
I = 1/3*m*l^2;
% I = 0.0034;
g = 9.80;
%% use F
A1 = [0 1 0 0;
0 -((I+m*l^2)*b)/(I*(M+m)+M*m*l^2) m^2*g*l^2/(I*(M+m)+M*m*l^2) 0
0 0 0 1
0 -(m*l*b)/(I*(M+m)+M*m*l^2) m*g*l*(M+m)/(I*(M+m)+M*m*l^2) 0];
B1 = [0
(I+m*l^2)/(I*(M+m)+M*m*l^2)
0
m*l/... |
%-----------------------------------------------------------------------
% Job saved on 23-Jul-2015 16:14:41 by cfg_util (rev $Rev: 6134 $)
% spm SPM - SPM12 (6225)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
matlabbatch{1}.spm.meeg.preproc.downsample.method ... |
% setup Installing IRIS.
%
% Requirements
% =============
%
% * Matlab R2014a or later.
%
%
% Optional components
% ====================
%
% * The Optimization Toolbox is needed to compute the steady state of
% non-linear models, and to run estimation.
%
% * LaTeX is a free typesetting system used to produce PDF ... |
function c = Reminder(day)
% Add error checking here
switch(day)
case WeekDays.Monday
c = 'Department meeting at 10:00';
case WeekDays.Tuesday
c = 'Meeting Free Day!';
case {WeekDays.Wednesday WeekDays.Friday}
c = 'Team meeting at 2:00';
case WeekDays.Thursday
... |
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