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classdef self_similar_gaussian_velocity < velocity_interface
%SELF_SIMILAR_GAUSSIAN_VELOCITY Wake velocity object implementing a
%symmetric Gaussian wake as described in :cite:`Bastankhah2016`.
properties
ct % Turbine thrust coefficient
thrustAngle % Turbine thrust angle
TI % Tu... |
clc;
clear all;
%[eitimg eitgi] = readeitdat('ts_guertel_M_konf_A_01_01.bin');
%customized parameters
%origfile = '0116exp/ab_xy_01_eiu_Img.mat';
%origfile='0227exp/Baoshuai/ab_xy_19_eiu_Img.mat';
origfile='0227exp/Lin_Liu/ab_xy_07_eiu_Img.mat';
genfile = 'testeit_exp07.mat';
gen_movfile = 'testeit_exp07.avi';
[eitimg ... |
%% Main File
% The main file for DE optimization algorithm useage.
%%
F = 0.5;
CR = 0.9;
popsize = 200;
maxIteration = 10000;
[globalBest, globalBestFitness, FitnessHistory] = DE(popsize, maxIteration, F, CR, @Fun);
% For post-process
figure(1)
plot(log10(FitnessHistory)) |
function [yinterp,ypinterp] = ntrp113(tinterp,~,~,tnew,ynew,klast,phi,psi,idxNonNegative)
%NTRP113 Interpolation helper function for ODE113.
% YINTERP = NTRP113(TINTERP,T,Y,TNEW,YNEW,KLAST,PHI,PSI,IDX) uses data computed
% in ODE113 to approximate the solution at time TINTERP. TINTERP may be a
% scalar or a row ... |
%% MASCRET Quentin - Copyright 2017 %%
function [Energy]= short_time_energy(Signal, window_ms, step_ms , fs)
% variables
alpha=0.97;
if( max(abs(Signal))<=1 ), Signal = Signal * 2^15; end;
% preemphasis filtering
Signal = filter( [1 -alpha], 1, Signal );
% normalisation of the Signal %
... |
function [ mker ] = multker( mt, lpar, lu)
%MULTKER Summary of this function goes here
% Detailed explanation goes here
if ~(equals(sum(lu),1)==0)
disp('This message means the weight vectors were not normalized.');
disp('And we have done it automatically.');
lu=lu/sum(lu);
end
if ~(length(lpar)==length(lu... |
% figure (1);
% plot(nn11,'-.r');
% hold on;
% plot(nn21, '--g');
% hold on;
% plot(nn31,':b');
% hold on;
% plot(nn41,'-');
% title('Gaussian Derivatives (N1)')
% xlabel('time ns')
% ylabel('normalized magnitude')
%
%
% figure (2);
% plot(nn12,'-.r');
% hold on;
% plot(nn22, '--g');
% hold on;
% plot(nn32,':b');
% h... |
function ishared_activity = init_ar_activity(n_sources, T, phi1, phi2, noise_level)
shared_activity = zeros(2*T,n_sources); % Hold the AR for each node.
for i = 3:T
shared_activity(i,:) = phi1 .* shared_activity(i-1,:) + ...
phi2 .* shared_activity(i-2,:) + ...
... |
function balanduino_plot(logged_data)
time = logged_data(:, 1);
reference = logged_data(:, 2);
actual_output = logged_data(:, 3);
error = logged_data(:, 4);
calculated_control = logged_data(:, 5);
actual_control = logged_data(:, 6);
subplot(3,1,1)
plot(time, reference, time, actual_output)
legend('reference', 'actual... |
function map = face(tester)
frequenciesToKeep = 6;
output = zeros(100,frequenciesToKeep);
for a = 1:100;
im = imread(sprintf('Images/FaceTraining/Face%1d.gif', a));
im = logical(im); %Convert the original intensity values into logical 1s and 0s
c = chainCode(im);
%% filter using the FT of the angles of the chaincode
a... |
function data = formatData(k,lag,n,T,ts,coeff,mu,explained,coeffbar,mubar,explained_bar,N_STATE_PC,A,SS_A,W,H,SS_H,Q,Explained_Mean,Explained_Trials,xbar,x,z)
%FORMATDATA Put data struct into stereotyped struct format
%
% data = kal.formatData(...);
%
% Inputs
% Basically everything that we want to save from `kal.kIn... |
function model_close(model)
%This function runs when the model is closed. It will remove the model
%and its support folders from the path.
mdlPath = fileparts(which(model));
paths = textscan(path, '%s', 'Delimiter', pathsep);
paths = paths{1};
for p = 1:length(paths)
if(strfind(paths{p}, mdlPath) == 1)
rm... |
folder = '../';
dd=dir([folder,'*.csv']);
delimiter = ',';
M=1;
formatSpec = '%f%f%f%f%f%f%[^\n\r]';
data = cell(length(dd)/M,M);
for ii=1:length(dd)
filename = dd(ii).name;
index=strsplit(filename,'_');
kk=str2double(index{1});
fileID = fopen([folder,filename],'r');
dataArray = textscan(fil... |
L=7;
M=5;
% x = audioread("doors.wav");
% x = x(2001:3000);
% x = x';
h = create_lpf(L,1);
xi = zeros(length(x)*L,1);
xi(1:L:end) = x;
nv = conv(h,xi);
y = pp_interpolate(x,h,L);
%>> norm(y(1:7200)-nv)
%
% ans =
%
% 1.1927e-15
%
|
function nii_sum (P, sumname);
% Adds all input images together and saves cumulative image
% P = filenames to average (optional)
% if not specified, dialog prompts user to specify images
% sumname = filename of output (optional)
% if not specified, prefix 'sum' appended to first filename
%
% Example
% ... |
%Generating PolarNRZ line code
function [t, x] = PolarNRZ(bits, Tb)
T = length(bits) * Tb;
N = 40;
Ws = (N*2*pi)/Tb;
Ts = (2*pi)/Ws;
t = 0:Ts:T;
x = zeros(1,length(t));
for i = 0:length(bits)-1
if bits(i+1) == 1
x(i*N+1:(i+1)*N) = 1;
else
x(i*N+1:(i+1)*N) = -1;
end
end |
function [myCMCQNCS, classMatch, SEFF, processors] = readXML_CMCQNCS_SEFF(filename,verbose)
% Q = READXML_CMCQNCS_2(A) reads an XML file A, that holds the
% description of an LQN model, and builds a Closed Multi-Class Queueing
% Network with Class Switching (Q) for analysis.
%
% Parameters:
% filename: filepath... |
%
%%psk
clc;
clear all;
runs=1;
M=2;
k=log2(M);
n=k*1000;
EbNo_db=20;
EbNo=10.^(EbNo_db/10);
beta=0.5;
sps=8;%Samples per symbol
span=20;
tblen = 10;
tb=16;
const = pskmod([0:M-1],M);
Offset1=1;
Offset2=1;
Offset=abs(Offset1-Offset2);
Symbols = pskmod([0:M-1],M);
rng default;
for j=1:length(EbNo)
AvgEr=0;
h... |
function Y=rotrc(X,row,col)
% ROTRC - rotation of rows and columns of a matrix
%
% USAGE: Y=rotrc(X,row,col);
%
% Input : X ... matrix to be rotated
% row ... rotate rows by row (integer)
% col ... rotate columns by col (integer),
% default: col=0
% Output: Y ... ... |
%% YPOLOGISTIKH NOHMOSUNH 2021 PTUXIAKH EXETASTIKH
%% NIKOLAOS ISTATIADIS AEM:9175
clear;
clc;
close all;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% REGRESSION ON
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% MULTIDIMENTIONAL DATATSET
%% EISAGWGH TWN DEDOMENWN SUPERCONDUCTIVITY DATASET
... |
function w = train_logistic_regression(xtrain, ytrain, lambda)
% the output is the trained model with parameters w and b
n = size(xtrain, 1);
m = size(xtrain, 2);
% initialize
xtrain_with_one = [ones(n, 1) xtrain];
w = zeros(m + 1, 1);
theta = 1;
epoch = 100;
for i=1:epoch
mu = logsig(xtrain_with_one * w);
grad... |
function [PARES WW DIST]=func_find_pares(P0,WMAX,CENTER,DIST_UMBRAL)
N=size(P0,1);
N2=floor(N/2);
PARES=cell(N2,1);
WW=cell(N2,1);
DIST=zeros(N2,1);
II=1;
while size(P0,1)>0
Pt1=P0(1,:);
P0(1,:)=[];
WMAX1=WMAX(1);
WMAX(1)=[];
IDd=func_find_close_t... |
% Timothy Smith
%Oscillators Chapter 16 Y-T Mode
figure % Time Domain View
subplot(2,1,1)
plot(X,CH1,'m')
labx=xlabel('Time (s)');
labx.FontSize=16;
laby=ylabel('Volts(V)');
laby.FontSize=16;
t=title('Signal Generator Output at 154.402 Hz');
t.FontSize=18;
subplot(2,1,2)
plot(X,CH2,'k')
labx=xlabel('Time (s)');
labx... |
function [w_D,A_BS,A_BS_pinv,theta,A_BS_OS,theta_OS]=func_codedesign(delta_inv,theta_min,theta_max,N,S,control_plot,l_plot,delta_theta,OS_rate)
delta = 1/delta_inv;
i_set = 1:delta_inv;
theta = theta_min + (delta_theta/2) + (i_set-1)*delta*(theta_max-theta_min);
A_BS = exp(1j*pi*(0:N-1)'*sin(theta));
if delta_... |
function [ ] = CrearPla( x1, y1, z1 )
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
pointA = [x1,y1,z1]; % x, y, z
pointB = [0,y1,z1]; % x, y, 0
pointC = [0, 0,z1] ; % 0, y, z
pointD = [x1,0,z1];
points = [pointA' pointB' pointC' pointD'];
fill3(points(1,:), points(2,:), points... |
clear all;clc;close all
%Load HRTF data
filename = "hrir_final.mat";
load(filename);
%Load audio source
filename_1 = 'Taylor Swift - Gorgeous (Lyric Video).wav';
[y,Fs] = audioread(filename_1);
y_freq = fft(y);
%Load RIR data
filename_2 = 's1_r1_b.wav';
[ry,rFs] = audioread(filename_2);
%Sound positi... |
clc; clear all; close all
%%%%% PARA TP 2
%USANDO LOS DATOS DE LA GRAFICA DADA
K=0.1;
wn=561;
zi=0.5;
s=tf('s');
%Comparacion de la respuesta al escalon y la delta para un mismo sistema
%con zita=0.4
g=K*wn^2/(s^2+2*zi*wn*s+wn^2);
%polos=pole(g)
step(100*g)
%%
clc; clear all; close all;
%%%%% PARA TP 2
%U... |
function [ ] = removeRow(obj, idx)
% 删去一行，改变obj.yProps和obj.data和obj.Ny
% [ ] = removeRow(obj, idx)
% idx: 待删除行行号
% ----------------
% 程刚，20150519，初版本
% TODO: 能否改成接受参数idx 或 nameStr
%% 预处理
% 判断idx范围正常
if idx < 0 || idx > length( obj.yProps )
error('idx=%d，超出范围！',idx);
end
%% main
obj.yProps(idx) = [];
ob... |
function ThisInsDataWithCost = computeCost(ThisInsData)
%computeCost 计算ThisInsData中每条路径的费用(必须有更新的wff)
% 输入
% ThisInsData 完整含wff的数据结构体
% 输出
% ThisInsDataWithCost 增加含Vehilce.Cost_***的数据结构体
%% function ThisInsDataWithCost = computeCost(ThisInsData)
da = ThisInsData;
wff = da.Veh_Cus.wff... |
classdef face < handle
properties(SetAccess = private)
V=vertex.empty;% Left base vertex of this face
N% 2D unit normal vector pointing away from the polygon
end
methods
function thisF=face(LV,normal)
thisF.V=LV;
thisF.N=normal;
end
en... |
function [Theta2, Theta1] = updateWeights(X, y, out, Theta1, Theta2, k, j, eta, v1)
%updating the weight for the outermost layer
delta = y(1,j) - out;
Theta2(1,k) = Theta2(1,k) + eta*(delta*v1(k));
%Weight update for hidden-input layers
Theta1(1,k) = Theta1(1,k) + eta*(sigmoidGradient(v1(k))*(y(j) - out)*Thet... |
function op_lfp_power_change_by_optosti(file, fpass, pathsave)
[~,chan] = plx_ad_chanmap(file);
[~,freqs] = plx_adchan_freqs(file);
[~,chandata] = plx_adchan_samplecounts(file);
chan = chan(chandata ~= 0 & freqs == 1000);
Numchan = numel(chan);
window = 4; % ÉèÖô°³¤¶ÈΪ 1 s
band = 3;
for j = 1 : 1
[Fs,~,~,~,lfp]... |
function writeFeatureFile(filename, featureCollection, description)
fido = fopen(filename, 'w');
numAdditional = numel(featureCollection{1,1});
numFeatures = numel(featureCollection{1,3});
fprintf(fido, '%.0f %.0f\n', numAdditional, numFeatures);
for i = 1:numel(description)
fprintf(fido, '%s\t', description{i})... |
classdef City < Model.Node
methods
function obj = City(name, index)
obj = obj@Model.Node(name, index);
end
end
end
|
function [sibhes, manifold, oriented] = determine_sibling_halfedges(nv, elems, varargin)
%DETERMINE_SIBLING_HALFEDGES constructs an extended half-edge data structure
% for a non-oriented or non-manifold surface mesh. It works for both
% triangle and quadrilateral meshes that are either linear and quadratic.
%
% [S... |
t_seg = 1000;
t_seg_xtra = 1000;
M_PI = pi;
vsasl_venc = 4;
GAMMA_H1 = 26754;
t1 = 0.0;
t2 = (t1 + t_seg) ;
t3 = (t2 + t_seg_xtra + 2*t_seg) ;
t4 = (t3 + t_seg);
t5 = (t4 + 2*t_seg_xtra + 2*t_seg) ;
t6 = (t5 + t_seg) ;
t7 = (t6 + t_seg_xtra + 2*t_seg) ; ... |
%{
%File: main.m
%Project: Autonomous Vehicles Lab | Kalman Filter
%File Created: Thursday, 19th November 2020 8:14:28 AM
%Authors: Rudra Patel
% Kojo Anyinam-Boateng
%Emails: rudra.patel@eleves.ec-nantes.fr
% kojo.anyinam-boateng@eleves.ec-nantes.fr
%Version: 1.0
%Brief:
%-----
%Last Modified: Tuesday, ... |
clc;clear
close all
%所有数值按字母顺序排列 A C D E F G H I K L M N P Q R S T V W Y
%求20个氨基酸疏水值的平均值和方差，
%shushui存放20中氨基酸5种特征的原数值，每行代表不同特性，分别是疏水，极化率，极性,二级结构和密码子多样性
%shushui_junzhihua存放的是20中氨基酸均值化后的5种特性数值，每行代表不同的特性，同上
shushui=zeros(5,20);
W1=zeros(5,2);
shushui_junzhihua=zeros(5,20);
%20种氨基酸疏水特性数值
shushui(1,1)... |
function varargout = roiSelector(varargin)
% ROISELECTOR MATLAB code for roiSelector.fig
% ROISELECTOR, by itself, creates a new ROISELECTOR or raises the existing
% singleton*.
%
% H = ROISELECTOR returns the handle to a new ROISELECTOR or the handle to
% the existing singleton*.
%
% ROISELECT... |
clc; clear; close all;
folder = 'Citra uji';
filenames = dir(fullfile(folder, '*.jpg'));
images_total = numel(filenames);
test_input = zeros(6,images_total);
for n = 1:images_total
full_name= fullfile(folder, filenames(n).name);
Img = imread(full_name);
Img = im2double(Img);
% E... |
%script18_8.m
figure('Position',[80 80 280 220],'Menubar','none');
axes('position',[0.15 0.15 0.8 0.8]);
axis([0 1 0 1]);
set(gcf,'WindowButtonDownFcn','draw_lines(''down'')');
set(gcf,'WindowButtonMotionFcn','draw_lines(''motion'')');
set(gcf,'WindowButtonUpFcn','draw_lines(''up'')'); |
function content = getMessageContentAsByte(obj)
% GETMESSAGECONETENTASBYTE Gets message content as a byte array
% The content is returned as a uint8 array
% Copyright 2019 The MathWorks, Inc.
content = uint8(obj.Handle.getMessageContentAsByte());
end
|
function [ Results ] = uq_subsetsim( CurrentAnalysis )
% RESULTS = UQ_SUBSETSIM(CURRENTANALYSIS) performs a subset simulation
% analysis of CURRENTANALYSIS and stores the results on the "Results"
% struct.
%
% See also: UQ_RELIABILITY, UQ_MCMC
Options = CurrentAnalysis.Internal;
% Keep track of constant ma... |
clear all
close all
tic
list_cdom=dir('Ed0_Files/24_48/Ed0_*.mat');
l_cdom=length(list_cdom);
spectrum_path=cd;
% Load optical properties
load('PureWater.mat')
% Determine depth steps within the cell (m)
depth=[0:0.001:0.05];
% Depth range
Wavelength=250:700;
% Time point possible
time_possible=[... |
function [ j, k ] = tripick( face, i )
% [j,k] = tripick(face,i)
% pick [j,k] != i from face, preserving cw/ccw ordering
fi = find(face==i);
face = circshift(face,[0,1-fi]);
j = face(2);
k = face(3);
end
|
% OCT0897a
% script to filter a random noise
% by the Gammatone filterbank
% check out the cross correlations
% and save sounds to files
Fs = 30000;
duration = 0.1;
rampdur = .005;
maxval = 2048;
fpath = 'd:\kip\noisetc\gamma\';
fsuffix = 'b.noi';
% use random noise or some file from disk
Path = input('... |
%Programar el método de la factorización LU de forma que se puedan resolver
% varios sistemas con la misma matriz.
%Comparar con el comando lu de Matlab.
% Au=b con A simétrica definida positiva, se puede factorizar como A=BB^T
% con B matriz triangular inferior.
% Nos devuelve la matriz B factorizada
function [B] ... |
%% Monta Carlo Simulations of OFDM with QPSK under AWGN Noise
SNR = 1:20 ;
sep = zeros(size(SNR));
for n = 1:length(SNR)
bitstream = generatebits(1e6); % input bit stream
symbolstream1 = qpskmod(bitstream); % QPSK symbol stream
symbolstream2 = ofdmmod(symbolstream1,4,1); % OFDM Symbol Stream with NC=4 and N... |
% function to visualize network data at a given iteration in runtime
function visualize_runtime(sensory_data, populations, tau, t, d)
if(d~=length(sensory_data.x) && tau~=1)
set(gcf, 'color', 'w');
% activities for each population (both overall activity and homeostasis)
subplot(3, 3, 1);
acth3 = plot(po... |
%naturalimages=importdata('NaturalImages_rgb.mat');
% In addition to the existing feature histogram peaks are taken into account.
spamimages=importdata('SpamImages_rgb.mat');
[m,n]=size(spamimages);
for ii=1:n
image=cell2mat(spamimages(1,5));
image=double(image);
image=image./255;
hslimage=rgb2h... |
% calculate the intersection between 2D lines l1 and l2
% where l1, l2 are nx2x2 arrays
% with each 2x2 slice containing [x0; dx]
function [p t1 t2] = lineIntersect2D(l1, l2)
den = l2(:,1,2).*l1(:,2,2)-l2(:,2,2).*l1(:,1,2);
num = l1(:,2,2).*(l1(:,1,1)-l2(:,1,1))+l1(:,1,2).*(l2(:,2,1)-l1(:,2,1));
t2 = num./den;
t1 ... |
function res = importCrspIndices(fullzipfile)
% IMPORTCRSPINDICES Imports the zipped CRSP msix, dsix and similar datasets into a table
%
% IMPORTCRSPINDICES(FULLZIPFILE)
% Full path to the zipfile
writeto = '.\results';
[~,datasetname] = fileparts(fullzipfile);
% Unzip and loadf as row strings
csvfile = un... |
%PO观测节点压力 GO观测管段流量 S阻力系数
%数值 节点或管段号 工况
function [sum] = dragCoefficientIdentification(A,D,Re,u,p,S,e,PO,GO)
sum=0;
[G_Cal,P_Cal] = hydraulicCalculation(A,D,Re,u,p,S,e);
%获取数据数量
[p_length,~]=size(PO);
[g_length,~]=size(GO);
%求压力
for i=1:p_length
poi=PO(p_length,1);
poi_num=PO(p_length,2);
pci=P_Cal(poi_num);
s... |
function[punta_px, punta_py, datos_x_1, datos_y_1, recta_1, datos_x_2, datos_y_2, recta_2, flag_descarte] = hexagono_individual_funcion(directorio, camara, tag_x, tag_y, graficos, guardar)
% funciona con el algoritmo que llamé "idea 2"
% graficos vale 'on', 'off'
% guardar vale 1 o 0
dir_camar... |
function y = convertToMBImg(x,Ng,Mg,nb)
c=class(x);
y=zeros( Ng, Mg,nb);
x=reshape(x,Ng*Mg,nb);
for i=1:nb
z=x(:,i);
z=reshape(z, Mg, Ng);
y(:,:,i) = z';
end
y=cast(y,c);
end
|
function er = simulatePolicy(st_init,a_init)
load ../results/lightbulb_problem.mat
if a_init == 2 || sum(st_init) >= 31 || st_init(1) == -1
er = (max(st_init)-min(st_init))/sum(st_init);
else
c = 7;
reps = 10;
S = lightbulb_problem(c).mdp.states;
policy = lightbulb_... |
%输入计算初始参数
d1 = '2012-08-24';
d2 = '2015-08-21';
index = '000001.SH';
% index = '399001.SZ';
period1 = 240;
p=40;
%调用Hurst_strategy_new，得到买卖时点和相应价格
[buy,sell,in1,time] = Hurst_strategy_new(d1,d2,index,period1,p);
%以下部分为策略评价和报告输出
xlswrite('D:\纪尹杰\Hurst测试\回测报告.xls',{'策略回测报告'},'Sheet1','A1');
%起止时间
xlswrite('... |
function logInfo(message)
%LOGINFO Convenience function for simple logging
% Detailed explanation goes here
logger = ether.log4m.Logger.getLogger('root');
logger.info(message, true);
end
|
function HEAD2MAT(file)
% HEAD2MAT merges heaphone-TF2 to matfile.
%
% HEAD2mat(name_core)
% name_core is the name of file without extension xx.sc2
% The matlab-file will be name_core.mat
% Klaus Hartung (hartung@aea.ruhr-uni-bochum.de)
% Lehrstuhl fuer allg. Elektrotechnik und A... |
classdef (Abstract) Test < matlab.unittest.TestCase
properties
drawEnabled = true
fig % figure
iPlot % current plot
params = struct % parameters of current test
joinedParams = ''
name = {'', ''} % name of the current test
end
methods (TestMethodSetup)
function setup(testCase)
... |
function [arm_angles] = inv_kin(r, theta, z)
% inv_kin() takes cylindrical coordinates and converts to 3 joint angles for the mearm.
%
% r
% theta
% z
L_link=80; %mm
%% offset values
r=r-45-16;
%% find theta_1
theta_1 = theta;
%% find theta_2, 3
L = sqrt(r^2 + z^2);
temp_angle = acos((L^2-2*L_link)/(2*L_link^2));... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% MDN month average
% Takes MDNsort data, and averages it daily and then monthly
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Run setup - import data from files
GreatLakesMDN
%To run sktt and store values
%Change site name to desired s... |
function [K,kp,P] = Cguide(H,Q,R,lambda1,b,bark1)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% [K,kp,P] = Cguide(H,Q,R,lambda1,b,bark1) - implementation of (C1)-(C4)
% H,Q,P - positive definite 6x6 matrix
% R - positive definite 3x3 matrix
% lambda1,b,bark1,k - positive scala... |
function [d]=collect_stats_b(d,st,et)
%initialize structure if no existing data
if length(fieldnames(d.s))<2
d.s.counts=[];
d.s.mom=[];
d.s.avg_mom=[];
d.s.temp=[];
d.s.pres=[];
d.s.quat=[];
d.s.lines=[];
d.s.dea_t=[] ;
d.s.v1t=[];
d.s.v2t=[];
d.s.v3t=[];
d.s.v4t=[];
... |
function [ Sheet1T,out_table1 ] = an_andrea_add_missing( Sheet1T,out_table1 )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
out_table1colmissing = setdiff(Sheet1T.Properties.VariableNames, out_table1.Properties.VariableNames);
Sheet1Tcolmissing = setdiff(out_table1.Properties.VariableN... |
%data = importdata('../plot/fig2/gamma0=0.0001.dat');
%plot(data);
%saveas(gcf,['./','test','.jpg']);
close all;
clear all;
datapath1='aa.dat';
load(datapath1,'aa');
datapath2='bb.dat';
load(datapath2,'bb');
datapath3='cc.dat';
load(datapath3,'cc');
datapath4='dd.dat';
load(datapath4,'dd');
h = figure('visible... |
function stopOnlineTracking
% stopOnlineTracking (no arguments)
% Stops the periodic timer event that runs the online tracking algorithm.
% See Also: 'startOnlineTracking'
global MTT; %multi-target tracking run-online variables
if isempty(MTT)
error('no MTT: perhaps not started?');
end
stop(MTT.timer)... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Velocity Classification through Vibration Pattern Recognition %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% STARTUP OPERATIONS
% Before launching the script, make sure to activate the current
% project by double clicking on it... |
function spc_opennext
global spc
try
[filepath, basename, filenumber, max] = spc_AnalyzeFilename(spc.filename);
catch
error('Current filename not specified');
end
next_filenumber_str = '000';
next_filenumber_str ((end+1-length(num2str(filenumber+1))):end) = num2str(filenumber+1);
% if max == 0
next_file... |
clearvars -except finalDS
close all
warning('off')
%% Normalize firing rates and Shift Correlation Values Up
for pt=1:size(finalDS.eighteenAQ, 2)
for qt=1:size(finalDS.eighteenAQ, 1)
matrix = finalDS.eighteenAQ{qt, pt};
if ~isempty(matrix)
% finalDS.eighteenAQ{qt,pt} = mat... |
clear;clc;%close all
dates_all={'Dec_17_13' 'Dec_18_13' 'Dec_19_13' 'Jan_08_14' 'Jan_08_14' 'Jan_06_15'...
'Jan_06_15'}; % 'Mar_24_15_A' didn't have the inline heater on, not using it
cellnum_all={'C' 'A' 'A' 'A' 'B' 'B'...
'C'};
rate_all_all=cell(1,6);
for k=1:numel(dates_all)
eval(['load ' pwd '\voltage... |
%
% masterscript.m
% First created February 21, 2013 by Itai Axelrad
% Runs all seven function and organizes outputs and plots
% Uses user-defined functions: LUfact.m, shear\_moment.m, wbeamselect.m,
% ang\_disp.m, stressstate.m, transplot.m and fsplot.m
%
% Input Variables:
% w=distributed load in kips
% L=lenght of t... |
% @author: Asaf
%clear;
close all;
clc;
clearvars -except 'Robot_A_final_trajectories' 'Robot_B_final_trajectories' 'Robot_A_final_cov' 'Robot_B_final_cov';
scenario = 'mrbsp_ros_tutorials';
scenario_folder = ['..' filesep 'scenarios' filesep scenario];
current_run_name = 'ANPL_Researcher_2019-12-09_04-37-47';
curre... |
% The model configuration for the test suite robots
%
% Author : Darwin LAU
% Created : 2016
% Description :
classdef TestModelConfig < ModelConfigBase
properties (Constant)
MODEL_FOLDER_PATH = '/test_models';
LIST_FILENAME = '/test_models_list.csv';
end
methods
... |
function v = leadfield_hom_xy(xy_0, xy_1, xy_j, sigma)
%
SIGMA = 1;
if nargin<4 || isempty(sigma)
sigma = SIGMA;
end
xy_r = xy_1-xy_0;
r = sqrt(sum(xy_r.^2));
j = sqrt(sum(xy_j.^2));
cos_theta = (xy_r'*xy_j) / (r*j);
v = (j * cos_theta) / (4*pi*sigma*r^2);
|
function [isInBox] = verifyIfCircleIsInBox(circle, box)
isInBox = true;
[circleSquareBoxX , circleSquareBoxY] = getCircleSquareBox(circle)
[xExtremumMatrix, yExtremumMatrix] = getExtremumCoord(box)
sideMatrix = box.sideMatrix;
[~, colunms] = size(sideMatrix);
% Vérification suivant les x
for i = 1:1:colunms
xMatrix... |
function Main
%Read Data from file
Data = readData();
%Neuron matrix 3x3, weights 4;
N = rand(3,3,4);
representDataInSpace(Data,N);
IterationsForOrdering = 100000;
MaximumConvergence = 50000*size(N,1)* size(N,2);
S0=sqrt(size(N,1)* size(N,2));
T1 = IterationsForOrdering/log(S0);
alpha0 = 0.1;
alpha_limit =0.01;
S_... |
plotType=3;
PON = 1;
cutoff = .05;
switch plotType
case 1 %gamma
dvunits = '';
dvlabel = '\Gamma';
dvaxis =[0,1.4,0.05,0.40]
dv=' g'
ptype= 'gamma';
case 2 %angle
dv='ang1';
dvunits = '\circ';
dvlabel = 'Angle (\circ)';
ptype= 'angle';
... |
classdef FrictionParabolicBowl2d < SWEConventional2d
properties (Constant)
hmin = 1e-4
gra = 9.81
end
properties (Constant)
h0 = 10
a = 3e3
B = 5
k = 0.002
T = 2*672
end
methods ( Access = public )
function obj = FrictionParabolicBowl... |
function prospective_pfcfwdreplays(thisdir,label,ilab)
disp(['Start prospective_pfcfwdreplays ' label])
numshuff = 1000;
load(thisdir,[label '_replay_singlebothjoint'],[label '_Cand_sig_modu_include'], ...
[label '_PFCreplayspikes_binned'],[label '_PFCreplayspikes_list'],...
[label '_replay_shuffle_p'... |
function plotColorSpace(cs_image, rgb_image)
coord = reshape(cs_image, [], 3);
color = reshape(rgb_image, [], 3);
x = coord(:,1);
y = coord(:,2);
z = coord(:,3);
scatter3(x(:), y(:), z(:), ones(size(x(:))), color);
xlabel('Y'), ylabel('Cb'), zlabel('Cr');
axis square
set(gca, '... |
function exportFigure(name,type)
%exportFigure - save the current figure to the file name and format
%specified...
% There are various types possible...
switch type
case 'png'
opt = '-dpng';
case {'jpg','jpeg'}
opt = '-djpeg';
case 'eps'
opt = '-depsc';
... |
%2. A figura abaixo representa um eixo vazado com raios internos variando
%entre 15 e 20 mm(incremento de 0.25 mm) e raios externos variando
%entre 25 e 30 mm, com o mesmo incremento. Considerando G = 80 GPa,
%traçar um gráfico no Matlab da variação dos diâmetros em função da rigidez
%torcional do eixo.
clear ... |
function [SDbw] = indexSDbw( data, Dmatrix, nCatFeature, clu, varargin)
%%%Input:
%data: row wise, normalized data for clustering, nCatFeature first
%Dmatrix: a precomputed pairwise distance, just to save computation
%nCatFeature: number of Categoric feature in the dataset
%clu: clustering , partition... |
%> @brief Convert body struct to a spatial_v2 model
%> The purose of this is to facility an ease of conversion between
%> spatial_v2 and RBDL via files read in by yaml
function [model] = body_struct_to_spatial_model(robot, gravity)
if nargin < 2
gravity = -9.81;
end
% dim = body_struct.dim; % @todo Add in option ... |
%==========================================================================
% MN_Model_Destexhe2001.m
% Author: Akira Nagamori
% Last update: 8/5/19
% Descriptions:
%==========================================================================
close all
clear all
clc
%%
%%
theta_m = -35; %(mV)
theta_h = -55; %(mV)
the... |
function display(Lfd)
fprintf(['NDERIV = ', num2str(Lfd.nderiv),'\n']);
fprintf('\nWFD:\n');
display(Lfd.wfdcell);
fprintf('\nAFD:\n');
display(Lfd.afdcell);
fprintf('\nUFD:\n');
display(Lfd.ufdcell);
|
function result=ConcatenateTones(tones,overlap_time)
% 连接tones中各个信号，叠接时间为overlap_time
overlap_time=int64(overlap_time);
if(length(tones)>2) % 递归
first=ConcatenateTones(tones(1:int64(length(tones)/2)),overlap_time);
second=ConcatenateTones(tones(int64(length(tones)/2)+1:end),overlap_time);
... |
function [ targetList] = signalProcessing( rawData, radarParameters )
%RADARSIGNALPROCESSING: Signal Processing of the Radar Signal to get the
%output as a dected target list with estimated range, velocity and DOA and
%the pulse compression value
% rawData = radarSignal_1;
% radarParameters = radarParameter;
... |
clc
x = 1:4;
f = (x + 5)/30;
if min(f) >= 0 && max(f) <= 1 && sum(f) == 1
fprintf('sim')
else
fprintf('nao')
end
|
clear
close all
% FENE-P
eta_s = 4.27;
eta_p = 0.43;
L = 1;
lbd = 0.0001;
##eta_s = 0.012;
##eta_p = 0.378;
##L = 2;
##lbd = 2;
gammaP = 1:1:1e6;
delta1 = 1 + sqrt(1+((2*L^6)./(27*(lbd^2).*(gammaP.^2).*(L^2-3)^2)));
delta2 = 1 - sqrt(1+((2*L^6)./(27*(lbd^2).*(gammaP.^2).*(L^2-3)^2)));
FeneP = eta_s + (eta_p*(... |
function [ tanstruct_out ] = merge_ace_dmp( tanstruct_in, dmpstruct_in)
%A function to read ACE DMP data, according to the occultations of
%the input, and add the latitude and longitutde information to the input
%structure. The input ACE data should use the original ACE 1km-grid. The
%tangent latitude and longitude are... |
%% Image Analysis Project
%
% Federico Badini & Stefano Bodini
% Politecnico di Milano
% 2014-2015
% Corso del Prof. V. Caglioti
%
% The following function build the name of a single image given its index
function [img_name] = build_image_name(cur_img)
img_name = 'Seq_Genova';
if cur_img < 10
img_name ... |
function y = fun1_la
num=[4 0];
den=[5 1];
step(num,den);
grid on;
end |
function status = generateV3DPipeline(strDir)
%generateV3DPipeline(strDir) This function demonstrates how to generate and
% save a Visual3D pipeline script to a user specified directory. This
% particular example will:
% 1. Create a new workspace (File|New).
% 2. Create a hybrid model (Model|Create|Hyb... |
function getContours( image, contourLvl )
if nargin < 2
contourLvl = 1;
end
if size(image, 3) > 1
image = rgb2gray(image);
end
imcontour(image, contourLvl);
end
|
function [ rnmn ] = tsEvaNanRunningVariance( series, windowSize )
%!!! series must be 0 averaged!!
minNThreshold = 1;
rnmn = zeros([length(series), 1])*nan;
dx = ceil(windowSize/2);
l = length(series);
smsq = 0;
n = 0;
for ii = 1:l
minindx = max(ii - dx, 1);
maxindx = min(ii + dx, l);
if (ii == 1)
... |
function [count,whichone]=typeofvar(str,inoutother,cw);
thisstr=str;
if ~isempty(findstr(str,'_f')), thisstr=str(1:(findstr(str,'_f')-1)); end
if length(find(strcmp(thisstr,inoutother{1})))>0, whichone=1; end
if length(find(strcmp(thisstr,inoutother{2})))>0, whichone=2; end
if length(find(strcmp(thisstr,inoutother{3}))... |
clc;clear;
n=10
gamma=0.9
A(1,2)=1;
A(2,1)=1;
A(1,3)=1;
A(3,1)=1;
A(1,4)=1;
A(4,1)=1;
A(2,5)=1;
A(5,2)=1;
A(5,6)=1;
A(6,5)=1;
A(6,2)=1;
A(2,6)=1;
A(6,7)=1;
A(7,6)=1;
... |
function [subSubjectFolders,nFolder,GAexist] = find_subject_folder(folderName)
subSubjectFolders = dir(folderName);
subSubjectFolders = subSubjectFolders ([subSubjectFolders(:).isdir]);
if any(strcmp({subSubjectFolders(:).name},'GA'))
subSubjectFolders(strcmp({subSubjectFolders(:).name},'GA')) = [];
GAexi... |
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