text stringlengths 8 6.12M |
|---|
clear all;
brick = ConnectBrick('HYLIFT');
brick.beep();
global key;
InitKeyboard();
lTurnTime = .54;
rTurnTime = .52;
while true
pause(0.01);
switch key
case 'leftarrow'
disp('left');
leftTime(brick,lTurnTime);
stop(brick);
... |
% berechnet und plottet den Zeitbereich des Frequenzsignals
function frequenz_im_zeitbereich (x_t,t)
N = length(t);
abtastfrequenz = 1/N;
abtastwerte = ones(N,1);
miximas = zeros(N,1);
null= zeros(N,1);
minimas = zeros(N,1);
%indizes
for i=1:N
if x_t(i)>0.99
maximas(i) =1;
end
end
figure(101)
hold on
... |
function [PC_back,cycle_back,intmem_back]=RotcRightACC(PC,cycle,intmem)
intmem_back=intmem;
ACC=intmem(225,1);
if(mod(ACC,2)==1)
h=1;
else
h=0;
end
%load Rn,PSW
PSW=loadPSW(intmem(209,1));
CY=PSW(1,1);
AC=PSW(2,1);
F0=PSW(3,1);
RS1=PSW(4,1);
RS0=PSW(5,1);
... |
%% Init
clear all;
% close all;
% Organization of the data for Experiment 1a
% % % CH1: time
% % % CH2-161: ECoG 1-160
% % % CH162: DI (unused)
% % % CH163: StimCode
% % % CH164: GroupId
% % % GroupIds:
% % % 1 ... Left Stim (instruction to attend left hand)
% % % 2 ... Left Rest (rest)
% % % 3 ... Right Stim (instru... |
function [temporal_derivative] = temporal_derivative(images, filter)
%TEMPORAL_DERIVATIVE Summary of this function goes here
% Detailed explanation goes here
h = floor(size(filter) / 2);
if (mod(size(filter), 2))
l = h;
else
l = h - 1;
end
x = size(images, 1);
y = size(... |
%{
Copyright (c) 2017 Raghvendra V. Cowlagi. All rights reserved.
Copyright notice:
=================
No part of this work may be reproduced without the written permission of
the copyright holder, except for non-profit and educational purposes under
the provisions of Title 17, USC Section 107 of the United States Cop... |
function [STRUCT] = find_normed_gr(STRUCT,EMP, name)
growth_rate = calculate_growth_rate(STRUCT);
Mc = [.185,.381,.546,.69,.883];
rho_1 = [1.1527,1.1418,1.1344,1.188,1.3555];
rho_2 = [1.1206,.9633,.7941,.729,.5980];
for i = 1:5
[upper_speed, lower_speed,~,~,~,~,~,~] = getInfo(i);
r = lower_speed/upper_speed;
s = rho_2... |
function [dist, angle]=calDistAngleInHorizen(vectorAB,vectorBC)
vectorAB(3) = 0;
vectorBC(3) = 0;
dist = norm(vectorBC);
cosAngle = dot(vectorAB,vectorBC)/(norm(vectorAB)*norm(vectorBC));
angle = acos(cosAngle); % [0,pi]
crossABBC = cross(vectorAB,vectorBC);
if crossABBC(3) < 0
direction = -1; % clockwise
elseif c... |
clc
clear
[X1,Y1,X2,Y2,X3,Y3,X4,Y4,X5,Y5,X6,Y6,X7,Y7,X8,Y8,X9,Y9]=CreateObstacleSpace();
hold on
xInitial = [30,160];
plot(xInitial(1),xInitial(2),'kO','MarkerSize',20);
hold on
xGoal=[160,30];
plot(xGoal(1),xGoal(2),'mO','MarkerSize',20);
%Set the Goal Biasing Probability
Probability = 0.5;
%Create ... |
%% Descriptive Statistics of Trend of Solar Irradiance Over Time
%Read-in data
Solar1 = readtable("solarFINAL2.csv");
%Pre-Processing - identify variable columns
Irrad = Solar1{1:end,1};
Zenith = Solar1{1:end,2};
Azimuth = Solar1{1:end,3};
Day = Solar1{1:end,4};
Hour = Solar1{1:end,5};
... |
function rev = get_li8_ideal_onepersonjuly10(stru, adjust)
if ~adjust
get_li8_ideal_onepersonjuly10(stru);
end
rev = 0;
%
% stru(person_postion).imFilePathAndName = imFilePathAndName;
% stru(person_postion).imgnameWithoutExtendName = imgnameWithoutExtendName;
% stru(person_postion).imgname = imgnam... |
function x=ifct(x,n,dim)
%IFCT Performs an Inverse Discrete Cosine Transform along a given
%dimension. It is based on Andriy Myronenko's implementation in
%https://uk.mathworks.com/matlabcentral/fileexchange/24050-multidimensional-discrete-cosine-transform--dct-
% X=IFCT(X,{N},{DIM})
% * X is the array t... |
n_metrics_all=1:29;
n_metrics_standard = [1 2 3 4 6 7 10 11]; %[9 12 13 14 15 16 17 28]; %9:29; %[1 2 3 4 6 7 9 10 11 12 13 14 17,15,16,18:29];
n_metrics_pairwise = []; %[1 2 3 4 6 7 10 11 12];
n_metrics_gazewise = []; %[10 11 13 14 17];%[13 14 17];
n_ow_metrics=[];
|
function display = drawText(display,center,str,col)
% display = drawText(display,center,str,[col])
%
% Draws text string 'str' centered at center = [x,y] in real-world coordinates.
%
% Text attributes can be set by setting the fields in 'display.text'. This
% sets the attrubute using the corresponding Screen ... |
% =========================================================================
% Function: FrameMain
%
% Parameters: driverMass (kg), jumpHeight (m)
%
% Outputs: finalFrameMass (kg)
%
% Description: Calculates the final mass of the frame by finding the
% minimum tube thicknesses based on safety factors. The s... |
function f=fkfuns()
f.fk = @fk;
f.force = @force;
f.plotconfig = @plotconfig;
f.energy = @energy;
f.spect = @spect;
f.initx = @initx;
f.fkgrad = @fkgrad;
f.energies = @energies;
f.plotEnergies = @plotEnergies;
f.plotw = @plotw;
f.plotground = @plotground;
f.plotconfigfirs... |
clear all
close all
clc
warning off;
iptsetpref('ImshowBorder','tight');
tsta=cputime;
im = imread('test.jpg');
if(size(im,3)==3)
im = double(rgb2gray(uint8(im)));
end
if(max(im(:)) > 255)
im = (double(im)*255)/65535;
end
w = 5; % bilateral filter half-width
sigma = [5 0.1]; % bilateral fil... |
%% Housekeeping and initialisation
clear %delete workspace
clc %clear command window
close all %close all figures and other popups
order = 0; %conditions for first iteration
pressurechange = 0; %conditions for first iteration
%READ:
%THIS CODE IS AN IMPLEMENTATION OF THE INVERSE MARCHING METHOD DESCRIBED BY
%ZUCROW ... |
function [part_thetas, part_outputs, part_summaries, part_Ds] = performSMCABC(N_parts, f_simulate, f_summaries, f_discrepancy, target_data, params_mins, params_maxs, scale_param, desired_D, visualise, varargin)
% This function performs SMC-ABC as laid out by:
% Drovandi, C. C. and Pettitt, A. N. (2011). Estimation of... |
function [R] = quat2RotMat(q)
%QUAT2ROTMAT Calculates rotation matrix of a quaternion
% Detailed explanation goes here
R = [q(1)^2+q(2)^2-q(3)^2-q(4)^2, 2*q(2)*q(3)-2*q(1)*q(4), 2*q(2)*q(4)+2*q(1)*q(3);
2*q(2)*q(3)+2*q(1)*q(4), q(1)^2-q(2)^2+q(3)^2-q(4)^2, 2*q(3)*q(4)-2*q(1)*q(2);
2*q(2)*q(4)-2*q(1)*q(3),... |
clear; clc
O = [1;
0];
X = [0 1;
1 0];
H = (1/sqrt(2))*[1 1;
1 -1];
rng('shuffle','multFibonacci') % Pseudo Random Generator
simulation = 20;
for n=1:1000
for s=1:simulation
%% Alice
alice_bits = randi([0,1],1,n);
alice_bases = randi([0,1],1,n);
for i=1:n
if alice_bits(i)==0
... |
function X2 =diffn(X,n)
%function X2 =diffn(X,n)
%
% computes diff of X along dimension n
s = size(X);
X = permute(X,[n,setdiff(1:length(s),n)]);
X2 = diff(X);
X2 = ipermute(X2,[n,setdiff(1:length(s),n)]);
|
main_dir = '/mnt/40086D4C086D41D0/Reverb_data/For_analysis/Process';
t_bin_ms = 20;
animal_list = dir(main_dir);
animal_list = animal_list(~ismember({animal_list.name},{'.','..'}));
for animal = 1:numel(animal_list)
fprintf('== Processing animal %s ==\n',animal_list(animal).name);
pen_dir = dir([fullfile(anima... |
function I_rec = inPainting(I, mask)
% Load parameters from file
load('params.mat');
% Start parametrized inpainting
I_rec = inPaintingParameterized(I, mask, parameters);
end
|
function makeblocksfrommrphys(fname,nthresh)
% finds areas in fname in which there are
% triggers and separates them into files for
% further processing
% usage: makeblocksfrommrphys(fname,nthresh)
% noise threshold
if nargin<2, nthresh=20; end
if ~probe(fname)
fprintf(1,'physio data not found for %s\n',... |
str = [];
for i = 1:size(p,1)
if p(i,2)==0
str = [str sprintf('%1s',key(p(i,1)))];
elseif p(i,2) == 1
str = [str sprintf('%1s ',key(p(i,1)))];
else
str = [str sprintf('%1s\n',key(p(i,1)))];
end
end
fprintf('%s\n',str); |
function [Calls,audiodata,ClusteringData] = loadCallfile(filename,handles)
data = load(filename);
Calls = table();
audiodata = struct();
ClusteringData = table();
%% Unpack the data
if isfield(data, 'Calls')
Calls = data.Calls;
elseif nargout < 3 % If ClusteringData is requested, we don't need Calls
error('T... |
% load('a01m.mat');
% pan_tompkin(val2,100,1);
%
% load('a06m.mat');
% pan_tompkin(val,100,1);
load('a03m.mat');
pan_tompkin(val(525:6000),100,1); |
function varargout = solve_align_symmtop_v2(varargin)
% use atomic units, except for some of the constants below
tic;
a0=5.29e-11; % [m]
eps0=1/4/pi;
c_au=1/137;
t_scale=24.18884e-18; % [s]
I_scale=3.51e4; % conversion from TW/cm2 to atomic units (1 a.u.=35.1e15 TW/cm2)
h_SI=6.626e-34; % [J*s]
c_SI=2.99792e8... |
function out_idx = cal_idx(cal, cal_type)
%CAL_IDX Returns the index of the calibration structure matching the
%desired type
out_idx = find(strcmpi({cal.type}, cal_type));
end
|
%%
clc;clear; load ideal_ivs.mat
figure1=figure(1); clf;
subplot1 = subplot(1,2,1,'Parent',figure1); hold on
plot([0:0.0001:2], [0:0.0001:2].^2)
box on; grid on
title('Ideal Flux-Charge Curve Example, $\varphi(q)=q^2$', 'fontWeight', 'normal')
xlabel('Charge')
ylabel('Flux')
set(subplot1,'XTick',[0 0.25 0.5 0.75 1 1.... |
function Out = rgb2HSV(R,G,B)
if nargin == 3,
RGB = [R G B];
elseif nargin == 1,
RGB = R;
else
error('wrong number of arguments')
end
[n,~]=size(RGB);
for i=1:n
var_R=(RGB(i,1)./255);
var_G=(RGB(i,2)./255);
var_B=(RGB(i,3)./255);
var_... |
function [MAC,x_dist,y_dist] = MAC_calculator(cr,ct,b_2,sweep_dist)
% function to calculate the mean aerodynamic chord of a wing section, as
% well as the sweep distance at the MAC (x_dist) and the MAC distance from
% the root (y_dist)
%x_dist
x_dist = (sweep_dist*(cr+2*ct))/(3*(cr+ct));
%MAC
MAC = cr-(2*(cr-ct)*(0.... |
%-------------------------------------------------------------------------
% Calculation of maximum size of input given the upper bounds of the
% size of input-output gain (gamma =3) for a 2-state system as described below.
% The example has been taken from:
%
% E. Summers and A. Packard. L2 gain veri?cation for int... |
%% SIF_Shadow.m
% Work on the relationship between the shadow fraction calculated from
% ArcMap Hillshade (Hilker et al., one of his RSE papers), and
% SIF/SIFyield. We also compare the sunlit leaves fraction from the
% estimation of FLiGHT model by Hideki Kobayashi. We focus on the data
% from year 2013.
clear v... |
function estReportMsgReceived(address, message, connectionName)
disp(message)
|
function s = initializeSimulatedUAV( )
% It creates the ground truth (real values without noise) of a simulated UAV
s = [ 0 + randn(); % 0 + N(0,1)
0 + randn(); % 0 + N(0,1)
rand()*2*pi ]; % Random angle between 0 and 2*pi
end
|
close all
clear all
clc
code_folder = '/Users/akiranagamori/Documents/GitHub/MN-Model/Cisi2008';
data_folder = '/Users/akiranagamori/Documents/GitHub/MN-Model/Cisi2008/MN Parameter';
cd(data_folder)
load('mn_parameter')
cd(code_folder)
Fs = 10000;
time = 0:1/Fs:5;
noise_amp = 0;
amp = 0.1;
U_syn = zeros(1,length(t... |
function [sigma,mu,var_dirs,var_amts] = scm_ex(Y,A,R,sigma0,mu0,sigma_max)
%SCM_EX Summary of this function goes here
% Detailed explanation goes here
[N,M] = size(A);
[~,B] = size(R);
sigma_min = 1e-6;
C = kron((A'*A),eye(B));
S = (mu0^2/(sigma0^2))*eye(M*B,M*B);
h = (Y-A*R)'*A;
h = h(:);
gamma = 1/(mu0^2);
ls... |
function meanLogWageM = wage_by_year(sexCode, yearV, setNo)
% Show stats for wages by year
% ---------------------------------------
cS = const_cpsearn(setNo);
ny = length(yearV);
% Mean log wage by school group
meanLogWageM = zeros([cS.nSchool, ny]);
for iy = 1 : ny
% For wages in year 1, must load year 2 varia... |
%close all
% figure(1)
% simulation step size in milliseconds.
% 1 usec per step. (or 0.001 msec)
dt = 1e-3;
showEvolution = 0;
isControl = 0;
T1 = 1700; %ms
T2 = 165; %ms from Qin paper
%
% T1 = 1400; %ms
% T2 = 65; %ms from Qin paper
homogeneity = 'perfect'; % 'perfect' % 'bad_B0_B1'
refocus... |
function [A] = imgseg(im, nseg)
run('../../../cvitstuff/vlfeat-0.9.20/toolbox/vl_setup.m');
esp = 0.001;
eps = 1;
J = rgb2hsv(im);
H = J(:,:,1);
Igray = rgb2gray(im);
M = size(im,1);
N = size(im,2);
R = im(:,:,1);
G = im(:,:,2);
B = im(:,:,3);
E = entropyfilt(Igray);
... |
function RSVP_analysis = run_analysis_RSVP(Target_EEG,Nontarget_EEG,rsvp_settings)
twin = rsvp_settings.twin;
window_length = rsvp_settings.window_length;
window_overlap = rsvp_settings.window_overlap;
trigger_tag = rsvp_settings.trigger_tag;
[trig_time,trig_ind] = analysis_RT(Target_EEG,trigger_tag);
Target_EEG =... |
% Part 2 of MECH 105 Homework 15
function [x,c] = Fahrenkrug_reactor(D,U,k,c0,cL,L,dx)
% This function solves the system linear of equations created from
% approximating a steady-state mass balance equation for a chemical in a
% one-dimensional canal.
% Inputs:
% D= diffusion coefficient
% U= the fluid Velocity
% k= th... |
%% This function waits for the trigger to come
% Show an empty screen
DrawFormattedText(w,params.txt_trigger,'center','center',params.psych_background_white);
Screen('Flip',w);
no_trigger = 1;
time_start = GetSecs();
time_this = time_start;
while no_trigger && (time_this - time_start) < params.time_await_tr... |
function undefinedVars = find_undefined_variables(modelName)
undefinedVars = [];
stillErrors = 1;
while stillErrors
try
Simulink.findVars(modelName);
stillErrors = 0;
catch err
% If the error is an undefined block parameter then find the name and add it to... |
t=(-100:0.01:100);
a=0.35;
T=5;
p=1/T;
if(t==0)
f=1-a+(4*a)/3.14
else
if(t==(T/(4*a))|(t==(-T/(4*a))))
f=((a/sqrt(2))*(1+2/3.14)*sin(3.14/(4*a)))+((1-(2/3.14))*cos(3.14/(4*a)))
else
f=((sin(3.14*(1-a)*p*t))+ (4*a*p*t.*cos(3.14*(1+a)*p*t)))./(3.14*p*t.*(1-(4*a*p*t).^2))
end
e... |
function MakeFolder(varargin)
% if isempty(folderpath);return;end
for i = 1:length(varargin)
folderpath = varargin{i};
[~,~,thisext]=fileparts(folderpath);
if not(isempty(thisext)) && not(strcmp(thisext,""))
folderpath = fileparts(folderpath);
end
if not(exist(folderpath, 'dir'))
m... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Euler Angles %%%%
%% input : acceleration x, y, z in G %%%%
%% output: pitch and roll angles in degrees %%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [ pitch, roll ] = eulerAngles(accX,accY,accZ)
pi... |
function [AIC, SBC, logL] = VARlag(ENDO,maxlag,const,EXOG,lag_ex)
%==========================================================================
% Determine VAR lag length with Akaike (AIC) and Schwarz Bayesian
% Criterion (SBC)criterion.
%==========================================================================
% ... |
% Replication paradigm
% Figure 10
clear; close all;clc;
flag = 1;
repl = 0; % set t = 0 as 0 in the simulation
arkysd = 0.056;% standard deviation of arky inputs
peak = 2.4; % peak sensory cortical input
run SecondOrder_LOOP_2_GP_Populations |
function [ Channel_Filtered, extendedChannel] = medianFilter5( CHANNEL)
% WINDOWSIZE should be the length of the entire window, such as
% 3x3 should be written as 9.
extendedChannel = zeros(size(CHANNEL)+4);
Channel_Filtered = zeros(size(extendedChannel));
for r=1:size(CHANNEL,1)
for c=1:size(CHANNEL,2)
... |
function [sm] = Achanta(img)
%---------------------------------------------------------
% Copyright (c) 2009 Radhakrishna Achanta [EPFL]
% Contact: firstname.lastname@epfl.ch
%---------------------------------------------------------
% Citation:
% @InProceedings{LCAV-CONF-2009-012,
% author = {Achanta, R... |
exp_folder = 'D:\GoogleDrive\retina\Chou''s data\20210331';
cd(exp_folder)
load(['Analyzed_data\unsort\0224_cSTA_wf_3min_Q100_re.mat'])
load('Analyzed_data\30Hz_27_RF_15min\unsort\STK.mat')
load('rr.mat')
figure('units','normalized','outerposition',[0 0 1 1])
ha = tight_subplot(8,8,[.04 .02],[0.07 0.02],[.02 .02]);
fo... |
%% Display Results
% Copyright (c) 2020 KIOS Research and Innovation Centre of Excellence
% (KIOS CoE), University of Cyprus (www.kios.org.cy)
%
% Licensed under the EUPL, Version 1.1 or – as soon they will be approved
% by the European Commission - subsequent versions of the EUPL (the "Licence");
% You may not ... |
%param selection
% Emanuel Ravemyr 19/11 -2020
%%setup
clear
rng(1);
N = 100; % number of source particles
%% Parameter selection
L = 1; % box side length
box = [L L L]; % periodic box
opt.box = box;
%Ewald params
M0 = 128; % Set M0=M/L, the restu * 1+ is automatic
opt.M = M0*[1,1,1];
opt.xi = 5;
opt.betaP = 2.5;... |
function [X,Y,Rx,Ry,V,LAMBDA,Sx,Sy,lambx,lamby,Cp,rho]=Mesh(COOR,N,M,W,Mat)
%% MESH GENERATOR %%
[px,py]=coordinates(COOR); %extracts the coordinates x and y that do not repeat
%% Increments %%
IncX(1)=px(1)/N(1);
for i=2:size(px,2)
IncX(i)=(px(i)-px(i-1))/N(i);
end
IncY(1)=py(1)/M(1);
for i=2:size(py,2)
In... |
function [output] = plotResults(params)
%PLOTRESULTS Summary of this function goes here
% Detailed explanation goes here
% Plotting Simulation Results "Operating Nodes per Round" %
figure(2)
plot(1:params.rnd,params.op(1:params.rnd),'-r','Linewidth',2);
title ({'LEACH'; 'Operating Nodes per Round';... |
function varargout = SubtractBackground(varargin)
%SubtractBackground Subtracts background from images
% IM_proc = SubtractBackground(IM)
% [IM_proc, refImg] = SubtractBackground(IM,refFrames);
% Inputs:
% IM - Image stack where 3rd time is time
% refFrames - A vector specifying the frames to average for background
% ... |
function [erms] = calculate_erms(y,t,range)
erms = sqrt((y - t)'*(y - t)/length(range));
end |
function mx = moving_max(v,w)
% Moving maximum
%
% max = movingmax(x,m)
%
% x is the timeseries.
% m is the window length.
% v is the variance.
%
% Ryan Julian 2011
% n=size(x,1);
%
% mx = zeros(size(x));
% for i = 1:n
% if i <= floor(m/2)
% left = 1;
% else
% left = i - ... |
clc;clear;close all;
load('rawdata_wifi_c14-a19_45.mat');
load('rawdata_accl.mat');
load('rawdata_attitude.mat');
load('radiomap_kalman.mat');
map = openfig('map.fig','reuse');
[pdrtime, stepsize, stepvelocity] = PDR(rawdata_accl, rawdata_attitude);%迈步时刻，步长，步速
wifiresult = Improvedwknn(rawdata_wifi, radiomap_kalman);
... |
function [theta_all, dis_all, x3, y3] = calculate_theta_all(dis_range, angle_range, x1,x2,x3,y1,y2,y3)
dis = sqrt((x3 - x2).^2 + (y3 - y2).^2);
x3(find(dis > dis_range)) = [];
y3(find(dis > dis_range)) = [];
dis(find(dis > dis_range)) = [];
if length(x3) == 0
theta_all = 500;
dis_all = 500;
else
theta = c... |
close all
clear all
load('pngNames.mat')
noPic = length(pngNames);
picDim = [276,511];
%verticalDrift = 36.1507; %5.3;
%horizontalDrift = 34.7595; %4;
%mean(mean(uv))(1) = 34.7595, (2) = -36.1507
%in plotflow, meshgrid x dimension is size(uv)(2) and y dimension is
%size(uv)(1)
%rescale average drift found from OF... |
function This = group(This,Grp)
% group Retrieve VAR object from panel VAR for specified group of data.
%
% Syntax
% =======
%
% V = group(V,Grp)
%
% Input arguments
% ================
%
% * `V` [ VAR ] - Panel VAR object estimated on multiple groups of data.
%
% * `Grp` [ char ] - Requested group nam... |
function dydt = five_link_dyn(t,x,ut,u)
% x is the state vector, [q1,q2,q3,q4,q5,dq1,dq2,dq3,dq4,dq5]
u = interp1(ut,u,t);
q = x(1:5);
dq=x(6:10);
M = five_M_simp(q(2),q(3),q(4),q(5));
V = (five_V(q(2),q(3),q(4),q(5),dq(1),dq(2),dq(3),dq(4),dq(5)))*dq;
G = five_G(q(1),q(2),q(3),q(4),q(5));
ddq = M\(u.'-V-G.');
dydt... |
function [] = display2images(img_cell, title_str)
figure
subplot(1,2,1), subimage(img_cell{1});
subplot(1,2,2), subimage(img_cell{2});
set(gcf,'NextPlot','add');
axes;
h = title(title_str);
set(gca,'Visible','off');
set(h,'Visible','on'); |
function varargout = eventtrigger(pulseon, tevent, rng, varargin)
% function [A,B,C...] = eventtrigger(pulseon, tevent, rng, A,B,C,...,
% options)
% Reshapes tevent around pulseon for a certain number of events before
% and after the pulse. Optionally also reshapes other variables
% (A,B,C,...) that have the sam... |
% Evaluative input selection method. Only concern with single output.
% Using SE to calculate the reinforcement for each changes.
% [returning weight vector of features] = evalsel(..
% .. input matrix, output matrix, number of learning epoch, underlying model)
% function [weight] = evalsel(x,y,epoch,model,net)
f... |
sig=ch2(1:3000);
t = 0:T:(numel(sig)*T)-T;
level = 6;
wpt = wpdec(sig,level,'sym6');
figure;
[S,T,F] = wpspectrum(wpt,sr,'plot'); |
function [m,s,NormTP] = ShowROCcaFamily(caROC, extrastring, Color, LineWidth)
%function ShowROCcaFamily(caROC)
%
%like ShowROC, but takes a cell array of ROCs
%plots the 'mean' roc and error bars using boxplot
if(nargin < 4)
if(nargin < 3)
if(nargin < 2)
extrastring = 'b-';
end
Color = [0 0 1];
e... |
%% TrainNewSensorLocs.sh
if false
projectdir = 'C:\wrk\Rheem\Phase 2 Analysis';
NoHupScriptPath = fullfile(projectdir,'TrainNewSensorLocs.sh');
[fid,errmsg] = fopen(NoHupScriptPath,'wt');
fwrite(fid, '#!/bin/bash','char');
fwrite(fid,newline,'char');
SensorIdxs = {'M1','M2','M3','M4',... |
function testlabel3d_mult(Pfile, offset )
if nargin <2
offset = -0.8
end
!rm *.nii
%sprec1_3d(Pfile,'m');
%sprec1_3d(Pfile,'h','N');
sprec1_3d(Pfile,'N','n',128, 'C',1);
vols = dir('vol*.nii');
volname = vols(1).name;
hdr = read_hdr(volname);
aslsub(volname(1:end-4), 1, 1, hdr.tdim, 0, 0, 0);
% aslsub(volname... |
function [yEstimated, excitation, coef]=sift(y, lpcOrder, plotOpt);
if nargin<1, plotOpt=0; end
if nargin<2, lpcOrder=20; end
if nargin<3, plotOpt=1; end
coef = lpc(y, lpcOrder);
yEstimated = filter([0 -coef(2:end)], 1, y); % Estimated signal
excitation = y - yEstimated; % Prediction error
if any(isnan(coef)) % Wh... |
function H = new_mapRegion(C, varargin)
%
% NAME
%
% function C = new_mapRegion(C)
%
% ARGUMENTS
% INPUT
% C class curvature_analyze class
%
% OPTIONAL
%
% OUTPUT
% H handle a handle to the created region
% map.
%
% DESCRIPTION
%
% This method creates a new region da... |
function [U, GridX, GridY] = topology(X)
%% Calculate the topology map specifying the density of areas of X
% Lie dense mesh over X and calculate the distance between every map point
% and its closest node in X
%% Input/Output:
% X: node positions in n-dimensional space
% U: topology matrix (distance between mesh poin... |
%程序
x=[676 825 774 716 940 1159 1384 1524 1668 1688 1958 2031 2234 2566 2820 3006 3093 3277 3514 3770 4107 ];
lag=5; % 自回归阶数
iinput=x; % x为原始序列（行向量）
n=length(iinput);
%准备输入和输出数据
inputs=zeros(lag,n-lag);
for i=1:n-lag
inputs(:,i)=iinput(i:i+lag-1)';
end
targets=x(lag+1:end);
%创建网络
hiddenLayerSize = 11; %隐藏层神... |
clear variables;
close all;
set(0, 'defaultAxesFontSize', 12);
set(0, 'defaultTextFontSize', 20);
set(0, 'DefaultAxesLineWidth', 1.0, 'DefaultLineLineWidth', 1.0);
L = 0.2; % rotation-center to control point [m]
v = 0.1; % velocity on wheel-center[m/s]
gain_lat = 1.0;
gain_yaw = 1.0;
param(1) = L;
param(2) = v;
pa... |
%{
# experimental paradigm event timing marker(s) for this trial
-> acquisition.TrialSetTrialEventTime
(trial_event) -> reference.ExperimentalEvent.proj('event')
---
event_time = null: float # (in second) event time with respect to this session's start time
%}
classdef TrialSetTrialEventTime < dj.Imported
end |
function csd = get_csd(animalid, block, channels)
if nargin == 0
animalid = '180626';
block = 12;
channels = 16;
allchannels = [32];
electrode = 1;
depth = 600;
penangle = 65;
end
ellength = 25*(channels-1);
highest = depth-ellength;
depthax = depth:-25:highest;
depthax = depthax.*(cosd(90... |
classdef (ConstructOnLoad) TimeStepData < event.EventData
properties
x
t
end
methods
function obj = TimeStepData(t, x)
obj.x = x;
obj.t = t;
end
end
end |
function [fig, ax] = time_plot_nodate(P, tl, Title, visib )
%% function [fig, ax] = timeseries2(P, tl, Title, visib )
% generates a time series plot abitary number of time series
% P{i} : structure containing all information for a pannel (i) is panale
% P{i}.X{j} : time arrays
% P{i}.Y{j} :... |
%% Authors: Simone Parisotto, Marco Caliari
function A = osmosis_discretization(v)
% Input:
% umat = shadowed image
% umask = shadow boundary indicator function
[mx, my, ~] = size(v);
x = linspace(1,mx,mx)';
y = linspace(1,my,my)';
hx = (max(x)-min(x))/(mx-1);
hy = (max(y)-min(y))/(my-1);
[~,D1classic,D2cla... |
classdef REX_CODE_MAP
properties (Constant)
%% codes
EVENTCODEMIN = 1000;
START = 1001;
FPON = 1003;
GAP1ON = 1004;
JMP1ON = 1005;
JMP1OFF = 1006;
JMP2ON = 1034;
JMP2OFF = 1035;
RFON = 1007;
RFOFF = 1010;
RF2ON = 1047;
RF2OFF = 1040;
CUEON = 1016;
C... |
classdef sensEncodingMatrix
% Generates sparse stripe-diagonal sensitivity encoding matrix
%
% Last Modified:
% Mark Chiew
% June 2014
%
% Input:
% sens - ND array of complex coil sensitivities
% Assumes 1st dimension is coils
% [Nc, Nx, (Ny), (Nz)]
... |
% This code was generated using ADiGator version 1.4
% ©2010-2014 Matthew J. Weinstein and Anil V. Rao
% ADiGator may be obtained at https://sourceforge.net/projects/adigator/
% Contact: mweinstein@ufl.edu
% Bugs/suggestions may be reported to the sourceforge forums
% DISCLAIMER
% ADiGator is a gene... |
%% RBES_Evaluate_Mission.m
function [score,panel_scores,objective_scores,subobjective_scores,data_continuity_score,data_continuity_matrix,cost,orbit] = RBES_Evaluate_Mission2(mission)
global params
r = global_jess_engine();
n = length(mission.instrument_list);
if n>2 || params.USE_LOOKUP_TABLES == 0 %% (Option by defau... |
function varargout = Optomotor_Setup(varargin)
% OPTOMOTOR_SETUP MATLAB code for Optomotor_Setup.fig
% OPTOMOTOR_SETUP, by itself, creates a new OPTOMOTOR_SETUP or raises the existing
% singleton*.
%
% H = OPTOMOTOR_SETUP returns the handle to a new OPTOMOTOR_SETUP or the handle to
% the existing si... |
function sr_lut_frac_core(filename,i_r,end_path)
[Vdec,Cdec] = read_ply([end_path '/' filename '.ply.bin.decoded.ply']);
gp = nextpow2(max(max(Vdec)));
s = 1/TMC13_positionQuantizationScale(i_r, gp);
##T = min(Vdec);
T = zeros(1,3);
Vds = round((Vdec - T)/s);
if s <= 2
Vlut = LUT_SR_fractional_octave(... |
%to generate the data, simple run this script (press F5) and you'll have
%the data generated in `data` variable.
p = 100;
nu = 1 ;
M = 4;
n = 8;
k = n-M+1;
%g = @(x,k) 100*(k+(sum((((x-0.5).^2) - (cos(20*pi*(x-0.5)))),2)));
g = @(x,k) (sum((x-0.5).^(2),2)); % k is passed for DTLZ3.m
alpha = 100; %usu... |
function [ErrorQuotient] = SuperLinear(x, xout)
TotalNum = size(x,2);
ErrorQuotient = zeros(TotalNum-1, 1);
Error = zeros(TotalNum, 1);
Diff = x - repmat(xout, 1, TotalNum);
Err1 = ( sqrt( sum( Diff(:,1:TotalNum-1).^2 ) ) )';
Err2 = ( sqrt( sum( Diff(:,2:TotalNum).^2 ) ) )';
%LogErrorQuotient = log10(Err2) - log... |
function [file_format,first_channel,second_channel,first_phase,second_phase,...
direction_matrix,n_directions,n_channels,n_lines,sampling_rate,...
begin_of_signal,end_of_signal,xaxis,comment] = r_frq(fid,filetype)
% function [file_format,first_channel,second_channel,first_phase,second_phase,dir... |
function [weights_u, means_u,covs_u,Ncom_u,logical_active_u]=GMPHD_filter_update(weights_k, means_k,covs_k,Ncom_k,logical_active_k,z,H,R,p_d,l_clutter,Area)
%GMPHD filter update
%See "B.-N. Vo and W.-K. Ma, “The Gaussian mixture probability hypothesis
%density filter,” IEEE Transactions on Signal Processing, vol. 54, ... |
% Vinay Ramakrishnaiah
% Main program that implements Virtual Terrain Leveling
% clear
close all
global Gain deltheta
% look angles
deltheta = 0 : pi/720 : 2*pi-pi/720;
% deltheta = [deltheta,0];
%% define parameters for FSM
f = 9e08;
c = 3e08;
lambda = c/f;
%% define parameters for WIM
% h_B = height of building i... |
% Header_Team.m : Save the world
% File :
% By : Shadman Jubaer
% Mark Rackish
% Tom Yurek
% Ethan Kayser
% Login : sjubaer
% mrackish
% tyurek
% kayser
% Section : 3Whalen
% Team : Team 51
%
% ELECTRONIC SIGNITURE
% Shadman Jubaer
%
% The electronic signature above indicates
% th... |
%% Stelling 2
%
% Het is niet mogelijk om binnen een functie een andere
% functie aan te roepen.
%
Antwoord = 0;
|
% EM Gun coil calculations
% calculates coil winding characteristics
% Damon Printz
% 12/26/2020
clc; close all; clear;
%{
fprintf('Wound copper wire stack\n')
wire_dia = 0.511 % mm, wire diameter
coil_id = 12 % mm, inner diameter of coil
layers = [1:1:10]; % number of layers to analyze
% material constants
wire_... |
%% RBES_Init_Params_EOS.m
function RBES_Init_Params_EOS(varargin)
global params
params.startdate = 1995;
params.enddate = 2012;
params.lifetime = 6;
params.missions_to_be_considered = 'ESA+NASA+CNES no EOS';
if nargin > 0
RBES_Init_params_common(varargin{1});
mode = varargin{1};
else
RBES_Init_p... |
% Foundation Class: SYGraphicsContext < SYObject.
% Written by Satoshi Yamashita.
% Fundamental class managing drawing.
classdef SYGraphicsContext < SYObject
properties (Constant)
% Comoposite mode.
CompositeModeOver = 0;
CompositeModeLighten = 1;
CompositeModeDarken = 2;
CompositeModeMultiply = 3;... |
clear all;
close all;
clc;
fid = fopen('Learning_data12.txt', 'r');
Learning = fscanf(fid, '%g %g %g %g %g %g %g %g', [8 inf]);
fclose(fid);
T = [1 10;1 10; 1 10; 1 10; 1 10; 1 10; 1 10; 1 10];
%Создать нейронную сеть (например, 2?2) на основе карт Кохонена
net = newsom(T,[2 2]);
%ф-ция классификации векто... |
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