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function [rc, sc, a, bits, wc, sigma2_a, N0] = QPSKtransmitter_random(Nbits, SNR, bits_seed, noise_seed)
if nargin < 3
bits_seed = 'shuffle';
end
if nargin < 4
noise_seed = 'shuffle';
end
rng_oldstate = rng(bits_seed);
bits = round(rand(Nbits, 1));
rng(rng_oldstate);
[rc, sc, a, wc, sigma2_a, N0] = ... |
clear
addpath(genpath('../../../../Useful Functions/'));
addpath(('../../../../Toolboxes/FAM_Biclustering'));
addpath(('../../../../Toolboxes/cvap3.7'));
%data path
%path_d = 'C:/Users/dlmg4/Dropbox/data/uci dataset/auscredit/';
path_d = '~/Dropbox/data/autism/';
fileNames = dir([path_d '*.xlsx']);
tempIndexF... |
function [xm,iter,res] = weighted_ArnoldiPagerank(A,q,tol,dim,itmax)
% The restarted adpative refined weighted Arnoldi process for computing
% PageRank, which is proposed by J.-F. Yin, G.-J. Yin, M. Ng (2012), NLAA,
% 19: 73-85.
% ---------------------------------------------------------------------
% Written by ... |
root_guess_p = @(Rq,M) 1./(1+Rq./M).*(1+sqrt(abs(Rq)./M));
root_guess_m = @(Rq,M) 1./(1+Rq./M).*(1-sqrt(abs(Rq)./M));
M = [linspace(1,300,500),linspace(300,10000,50)];
Rq = linspace(-100,-1,100);
root = [];
for i = 1:length(M)
root = [root; root_guess_m(Rq,M(i))];
end
surf(Rq,M,root); shading flat; |
function result = loadDataFromFile(user,input_control)
log_dir=strcat(getenv('PWD'),'/logs/');
result=load(strcat(log_dir,'user',int2str(user),'-',input_control,'-maps-downup.log'));
end
|
function timeTracesGenotypeCombo(timeTraces,cellTypes,stimDuration,timeTraceLims,figName)
beforeStimDuration=-timeTraceLims(1);
afterStimDuration=timeTraceLims(2);
dataRate=60;
numGenos=length(cellTypes);
colors=lines(numGenos);
f=MakeFigure('Name',figName,'NumberTitle','off');
set(f,'visible','off');
nflies=zeros(... |
%% Bonus - run all data sets to get figures
% Polynomial kernel
for i = 1:6
a = SVMtrial_bonus(i);
end
% RBf kernel
for j = 1:6
a = SVMtrial(j);
end
|
close all
clear
clc
t=-10:0.001:10;
f=(-t+2).*(unit_step(t)-unit_step(t-2));
g=3*(unit_step(t+2)-unit_step(t-2));
figure
subplot (2,1,1)
plot (t,f)
axis([-4 4 0 4])
subplot (2,1,2)
plot (t,g)
axis([ -4 4 0 4])
[to yo]=konvolusi(f,g,t);
figure
plot (to,yo)
axis([ -4 6 0 7]) |
% Modified to slow down to eat
classdef Arch5MotorControl < Neuron
% Memory assicatied to this architecture
% This is what must be saved and loaded
properties
cap = Cap(1.);
% Food processing
foodThresh = Perceptron(0.20);
foodScale = Linear(0.1);
energyFlip = Linear(-1.);
... |
dock
%%
NumRows = 3;
NumCols = 4;
for r = 1:NumRows
for c=1:NumCols
plotnum = (r-1)*NumCols + c;
disp([r,c,plotnum])
continue
subplot(NumRows,NumCols,plotnum)
title(plotnum)
end
end |
%%% CONFIGURATION FOR IMPORTING ERP DATA %%%
% -- process preparation
config(1).preproc.eventtype = 'proc'; % label for processing triggers
config(1).preproc.eventduration= 1 ; % duration of each contiguous epoch
config(1).preproc.trimends = 3 ; % trim edges of data (filter/recording artifact)
|
#! /usr/bin/octave -qf
# Funcion que aplica el metodo de gradiente conjugado basado en las formulas del Burden
function [x, it, r_h] = cg(A, b, x0, maxit, tol, mensaje = false)
# Valores iniciales
r0 = b - A * x0;
# Direccion de busqueda
v = r0;
for k = 1 : maxit
# ... |
format long %compute with "long" number of sig digits
% Examine relationships of connections and weights
C1 = [10; 20; 30];
w1 = [10 20 30];
Neuron(C1, w1)
% NET = 1400, OUT = 1
C2 = [1;1;1];
w2 = [2 2 2];
Neuron(C2, w2)
% NET = 6, OUT = 0.997527376843365
C3 = [.1;.1;.1];
w3 = [.2 .2 .2];
Neuron(C... |
function StrArray = ExplodeString(String,Delimiter)
N = length(String) ;
NotDone = true ;
Buffer = cell(N+2,1) ;
Counter = 0 ;
Bottom = 1 ;
DelimStride = length(Delimiter) - 1 ;
Top1 ... |
function [ output_args ] = genNii( img, voxel_size, filename )
%GENNII Summary of this function goes here
% Detailed explanation goes here
save_nii(make_nii(single(img), voxel_size, [], 16), filename)
end
|
function outdata = cleanASLglobals(root);
% function outdata = cleanASLglobals(root);
%
% if the input data are not in a file with a header,
% I'll just assume that each slice is 64 x 64 pixels
%
% This function removes the fluctuation of each
% slice's global mean signal from the data by
% fitting a linear model wit... |
function spec = calc_spec(HH, dH, Imin, Rmin, sh1)
% Spectrum calculation. Central field is 0, no additional Im is added
% HH - mesh for calculation near the central field
% dH - intrinsic line width
% H00 if the field in the center
% Rmin is effective radius of min coil 1.03 cm
% Imin is Imin (shift is n... |
clc;close all;clear;
jd = 80;
n = 5;
S0 = 6000;
T_b = 18;
A_b = 0.6;
T_w = 25;
A_w = 0.2;
Dr = 0.3;
dt = 7;
asw = 0;
alw = 1;
abb = 0.25;
abw = 0.75;
abs = 0.5;
lat = -88:2:88;
r = 90;
zz = linspace(-88,88,89);
theta = acos(zz/r);
phy = linspace(0,2*pi,101);
array = linspace(1,100,100);
C_array = nan(89,100);
for i = ... |
%% read LAMMPS velocity dump file
clc,clear,close all
tic
%% define defect type id to represente defect types
% 1. random antisite
% 2. neighbor antisite
% 3. B substitute N
% 4. N substitute B
defect_type_id = 4;
defect_type = defect_id2type( defect_t... |
function vec_O_apex_s = apex_position(q, rot_sb, rot_sbprime, cone_params)
%-------------------------------------
radius = cone_params.radius;
xA = cone_params.lateral_apex_offset;
zA = cone_params.vertical_apex_offset;
%-------------------------------------
vec_GD_s = rot_sb*[-radius;0;0... |
function [ lvl ] = untitled( input_args )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%Cerramos cualquier ventana de figura que pueda estar abierta en Matlab
%para evitar confusiones
close all;
%El proceso inicial es leer la imagen y darle un formato doble para
%... |
%% Interpretations
% 不考虑高度
% 正侧视,斜平面成像chirp scaling算法
%% radar parameters
clear all;
close all;
clc;
c = 3e8;
lambda = 0.03125;
fc = c/lambda;
Tp = 10e-6;
B = 180e6;
gama = B/Tp;
Fs = 200e6;
H = 0;
Rs = 12.8e3;
squint_angle = 0;
squint = squint_angle/180*pi ;
Rb = Rs*cos(squint) ;
Da = 0.4;... |
function [struct] = taxiSingleEventParser(file)
% return struct
%%
% file = csvread(filename);
num_records = length(file);
%% id
struct.id = file(:, 1);
struct.len = num_records;
%% xyz
on_spots = file(:, 2:4);
on_spots_lng = on_spots(:, 1);
on_spots_lat = on_spots(:, 2);
on_spots_alt = on_spots(:, 3);
on_spots_ln... |
function [y, fs] = jp_stringtogethersounds(files, Cfg)
%JP_STRINGTOGETHERSOUNDS Make one long sound file from shorter ones.
%
% JP_STRINGTOGETHERSOUNDS(FILES) takes individual sound files and puts
% them togehter into a long sound (e.g., for presenting during an
% experiment). FILES is assumed to be a cell array of sou... |
function g=gpoly(x0,z0,xcorn,zcorn,ncorn,rho)
% g = gpoly(x0,z0,xcorn,zcorn,ncorn,rho)
% This function computes the vertical attraction of a 2-D body with polygonal
% cross section. Axes are right-handed system with x-axis parallel to long
% direction of body and z-axis vertical, positive downward.
% Based on Fortran ... |
% subgradient method for group lasso
function [x, iter, out] = gl_SGD_primal(x0, A, b, mu0, opts)
% default parameters
if ~isfield(opts, 'maxit'); opts.maxit = 100; end
if ~isfield(opts, 'maxit_inn'); opts.maxit_inn = 500; end
if ~isfield(opts, 'ftol'); opts.ftol = 1e-10; end
if ~isfiel... |
clear all
dicomRENAME_params
destination_folder = ['/Users/megan/Box/DATA/' project '/Dicom/sub-' subID '/ses-' ses];
if ~exist(destination_folder, 'dir')
mkdir(destination_folder);
end
run_tasks = {'AAHead_Scout', 'gre', 'rest', 'mixed', 'slowreveal', 'ambiguity', ...
'T1w', 'T2w', 'MRA', 'MRV', 'Physio_re... |
function PlotCIE1931xy(xy,Phospher,new_fig_flg,tri_flg,color_flg,marker_type)
% function PlotCIE1931xy(xy,:Phospher,:new_fig_flg,:tri_flg,:color_flg,:marker_type)
% (: is optional)
%
% Plot CIE1931 xy value(s) with a CIE1931 chromaticity diagram frame.
%
% [input]
% xy : CIE1931 chromaticity value(s), [2 ... |
y1 = zeros(500, 1);
y2 = zeros(500, 1);
y1res = zeros(100, 100);
y2res = zeros(100, 100);
for i = 1:100
for j = 1:100
u1 = i*ones(500, 1);
u2 = j*ones(500, 1);
y1 = zeros(500, 1);
y2 = zeros(500, 1);
for k = 9:500
y1(k) = symulacja_obiektu5y1(u1(k-7), u1(k-8), u2(k-2), u2(k-3)... |
function [ rec ] = makeRecord( t,p )
global recX recY recZ recRoll recPitch recYaw recF recExist;
global camC camZ camPsi_roll camPsi_pitch camPsi_yaw;
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
recX(t,p)=camC(1,p);
recY(t,p)=camC(2,p);
recZ(t,p)=camZ(p);
... |
function x = average_consensus_test(N,x0,A,iters,Ts,times,titl)
%% function average_consensus_test(...) can be used to simulate protocol P1 (look the technical report)
%% inputs :
% N : total number of agents.
% x0 : a vector with the initial states of all agents.
% A : matrix A has an amount of sub-matrices , one for... |
function [ret] = queryEntrust(counter, e)
% [ret] = queryEntrust(counter, e)
% 查询委托状态
%---------------------------------
% 朱江 20160621 first draft
counter_id = counter.counterId;
entrust_id = e.entrustId;
[dealinfo] = rh_counter_query_entrust(counter_id, entrust_id);
% dealVolume@double = 0; % 成交数目
% ... |
% exercise 3.1
%a
h= |
function [U, x, y] = PoissonSolver(problem, M, N, plotType)
if nargin < 4, plotType = 0; end
if nargin < 3, N = M; end
h1 = (problem.rb - problem.lb) / M;
h2 = (problem.ub - problem.bb) / N;
x = problem.lb : h1 : problem.rb;
y = problem.bb : h2 : problem.ub;
kmax = (M + 1) * (N + 1);
idx = 1:kmax;
idx ... |
% match descriptors
%
% Input:
% descr1 - k x n descriptor of first image
% descr2 - k x m descriptor of second image
% thresh - scalar value to threshold the matches
%
% Output:
% matches - 2 x w matrix storing the indices of the matching
% descriptors
function m... |
% --- parse a filename
function [animalID, fileNo, unit, stimType] = parseFilePath (filePath)
% FileName should be a string of the format AnimalID#FileNo[StimName]
%
% AnimalID string for the animal ID
% FileNo integer for the file number
% Unit string for recording site / unit
% StimName string describing t... |
%=======================
%寻求一个矢量中大于指定值的元素指引
%=======================
A=rand(1,10);
limit=0.75;
B=(A>limit);
if any(B)
fprintf('值大于0.75的索引');
disp(find(B))
else
disp('所有值都大于指定值')
end
|
function PHI = AlternateOrderBasis(U_B,U,imod_stress);
% See f_MatBT_ROM_II
dbstop('7')
PHI = zeros(size(U_B,1),imod_stress+size(U_B,2));
ipppl = 1;
iUUU = 1 ;jUUU =1; SSS_DONE = 0 ; UUU_DONE = 0 ;
while ipppl<=imod_stress+size(U_B,2) & (SSS_DONE == 1 | UUU_DONE == 0)
try
... |
%sobel锐化
I=imread('lenna.jpg'); %读取图像
if( ~( size(I,3)-3))%判断是否为彩色图
I1 = rgb2gray(I);
else
I1=I;
end
subplot(221),imshow(I),title('原图');
model=[-1,0,1;
-2,0,2;
-1,0,1];
[m,n]=size(I1);
I2=double(I1);
for i=2:m-1
for j=2:n-1
I2(i,j)=I1(i+1,j+1)+2*I1(i+1,j)+I1(i+1,j-1)-I1(i-1,j+1)-2*... |
function exists = fileExistsOnDevice(filename)
% exists = fileExistsOnDevice(filename)
%
% Checks if a file exists in the devCam directory on the attached device.
% Returns a boolean indicator of the file's existence.
%
% - - Input - -
% filename : a string indicating the filename and path relative to the main
% ... |
% NA_MODEL2
%
% Volany z NA_MODEL na doplnenie vstupov, pre premennu TYP_ID==1
% Zadaju sa parametre vseobecneho prenosu regulovaneho modelu
%
% Vrati sa spat do NA_MODEL
% Copyright is with the following author(s):
%
% (c) 2012 Juraj Oravec, Slovak University of Technology in Bratislava,
% juraj.oravec@stuba.sk
% (c)... |
function [dump_stats]=flow_rate(dump_stats)
%FLOW_RATE: calculates time dependent fuel flow rate from mom_dumps.mat
% years since launch for each dump (start time - launch time)/(sec per year)
ysl=(dump_stats.s.time-time(1999204))/(86400*365);
% thruster counts at start of each dump
sc=dump_stats.s.counts;
%thrust... |
%Problem 5
% Part a
clc; close all; clear all;
num = [0.038 0];
den = [1 0.039 0.053];
Air_dyns = tf(num,den)
Eng_dyns = tf([10],[10 1])
Servo_dyns = tf([1],[0.1 1])
Sen_dyns = tf([10 1],[1])
sys = Servo_dyns*Eng_dyns*Air_dyns*Sen_dyns
sys1 = Servo_dyns*Eng_dyns*Air_dyns;
figure
hold on
... |
close all
els = [];
Fs = [];pots=[];adds = [];
Fs1 = [];pots1=[];adds1 = [];
Fs2 = [];pots2=[];adds2=[];
cols = [];cols1=[];cols2=[];
alpha=9;
mats = {'steam1.mtx','steam2.mtx','nos3.mtx','ex7.mtx', ...
'ex33.mtx','crystm01.mtx', 'coater1.mtx','pesa.mtx'};
for i = 1 : size(mats,2)
mat = strjoin(mats(i));
[req,pot... |
% n = modrz(x,y)
%
% Modulus after division, with reassignment of zeros.
%
% Returns mod(x,y) for all mod(x,y) ~= 0. If mod(x,y) == 0, returns y
% rather than 0.
%
% Thus, modrz(x,4) is 1, 2, 3, or 4, rather than 1, 2, 3, or 0.
%
% 02.05.11 - S.Fraundorf - first version
function n = modrz(x,y)
n = mod(x,y);
if n == ... |
% matlab script bowmass.m
% finite difference scheme for a bowed mass-spring system
% soft friction characteristic w/iterative Newton-Raphson method
%%%%%% begin global parameters
SR = 44100; % sample rate (Hz)
f0 = 200; % oscillator frequency (Hz)
FB = 500; % bow force/mass (m/s^2)
TF = 0.1; % simulation duration (s)
... |
% THIS SCRIPT IS BASED ON THE WINNER CODES IN THE TEST BED 2 ON THE
% IEEE 2014 OPF problems (Competition & panel): Differential Evolutionary Particle Swarm Optimization (DEEPSO)
% http://sites.ieee.org/psace-mho/panels-and-competitions-2014-opf-problems/
function [Fit_and_p,FVr_bestmemit, fitMaxVector] = ...
DE... |
ind_pivotset = 1;
maxiter = 1:30
tol = 1e-16;
lala = [];
lele = [];
for ind_iter = maxiter
param_opt.maxiter = ind_iter;
param_opt.TolFun = tol;
param_opt.TolX = tol;
param_opt.TolCon = tol;
% run lsqlin
Mesoptions = optimset('Algorithm', 'interior-point', ...
... |
function hdr = read_gehdr(id)
%READ_GEHDR Read the header of a GE raw data file into a structure
%
% usage: hdr = read_gehdr(id)
%
% id: integer file identifier obtained from fopen()
%
% hdr: a structure containing the following elements:
%
% hdr.rdb - a structure equivilant to GE's rdb_hdr_rec
% ... |
%MECH 568 HW2 Problem 6.12;
%Author: Thomas Andreano
%Version 1: 10/28/2019
%-------------------------------------------------------------------------
% Solution to the one-dimensional linear convection equation using 4th
% order centered difference and 4th order Runge-Kutta
clear all;
close all;
clc;
a = ... |
% plot velocity
function QC_01_12_CheckVelModel(dbpath, dbname, ID)
disp('By default reads r3huber catalogue from the database')
dbname_relocate = [dbpath 'relocate/relocate_use/' dbname '_r3huber'];
run('/opt/antelope/5.6/setup.m')
% open origin and associated phases database
db = dbopen(dbname_relocate, 'r');
d... |
function l_bc = pump_bc_plant(qh_ann,Qvec_ann,L_eigv,q_pump_initial,area_ann,xi,matA,matB,press_res,in_res,dr,Cl,rho0,p0,rho_ss)
% Function to generate left boundary condition
% The boundary conditions are implicit in q1 and q2 in this case.
% Arguments are the q1/2 (n+1), Q1n and parameters
u = (Cl/2)*qh_ann(1)+(1/2... |
classdef policyConstant < Policy
%POLICYCONSTANT Chooses a random action in the beginning and holds on
%to it
properties
chosenAction
end
methods
function init(self, nbActions)
% randomly choose an action in the begin
self.chosenAction = randi(nbActions)... |
function [tn_Pal,tn_Seq,I,J] = otnodes(t,~)
%OTNODES Ordered terminal nodes for a 1-D wavelet packet tree.
% [TN_PAL,TN_SEQ] = OTNODES(T) returns two vectors of
% ordered terminal nodes of a binary tree.
% TN_PAL contains the terminal nodes ordered using
% Paley (or natural) order, and TN_SEQ contains the
% ... |
% Homework #6b
% function [x,L,U,porder] = ludecomp(A,b)
%
% Performs LU decomposition
% input:
% A : (n,n) matrix
% b : (n,1) vector
% output:
% x : solution (n,1) vector
% L : lower triangular matrix
% U : upper triangular matrix
% porder: permutation vector
% comment: (1) Note that ... |
function x1=Range_compress(x1,Fs,Tp,gama)
%¾àÀëѹËõ³ÌÐò
[nrn,nan]=size(x1);
fr=[-nrn/2:nrn/2-1].'/nrn*Fs;
tp_num=ceil(Tp*Fs/2)*2;
win_sref=hamming(tp_num);
win_sref=ones(tp_num,1);
win_sref=win_sref./max(win_sref);
tp1=((0:tp_num-1)'-tp_num/2)/Fs;
phi=pi*gama*(tp1.^2);
sref=exp(i*phi).*win_sref;
sref_f=zer... |
function res = bc_bvp(ya,yb, beta)
global xp z0 r0
ds = 1e-4;
%{
res=[yb(2)-z0/r0;
ya(3)-pi/2;
ya(2);
yb(1) - xp;
yb(5);
yb(3)-pi/2;
ya(6)-1/4
];
%}
res=[ya(5);
yb(3)-pi/2;
ya(2);
ya(1) - xp;
yb(2)-z0/r0;
ya(3)-pi/2;
yb(1)-1
];
end
|
clear all;
load H.mat;
load V.mat;
load n.mat;
D=H+V;
clear H V;
%D=sparse(D);
%D = blkdiag(D(1:size(D,1),1:size(D,2)));
[Cmn,E]=eigs(D,5,0.5);
save EigenVector.mat Cmn;
save EigenEnergy.mat E;
E=real(diag(E));
[E,index]=sort(E);
E
index
save index.mat index;
|
function [N, F] = compute_bw_stats(feaFilename, ubmFilename, statFilename)
% extracts sufficient statistics for features in feaFilename and GMM
% ubmFilename, and optionally save the stats in statsFilename. The
% first order statistics are centered.
%
% Inputs:
% - feaFilename : input feature file name (string) or... |
% sBoxFix.m
% Constants
global ts;
center = 0;
% Format: {time, visStim}
% [Mode, K0, K1, K2]
visStim0 = [0, 90, 0, center];
visStimN = [1, 0, -2, center];
LaserOn = 'ff00';
olf1 = '0000';
olf2 = 'ff00';
olf3 = '0000';
olfOff = '0000';
LaserOff = '0000';
histogramBounds = [5,1*120;...
... |
function [Y] = CActFunc(type, X)
% Complex-valued activation functions.
switch type
case 'splitTanh'
R = tanh(real(X));
I = tanh(imag(X));
Y = R + 1j*I;
case 'splitSigm'
R = 1./(1 + exp(-real(X)));
I = 1./(1 + exp(-imag(X)));
... |
%% get_zip
% gets zip names from archive
%%
function zip = get_zip(my_pet)
% created 2017/10/25 by Bas Kooijman, modified 2019/12/25
%% Syntax
% zip = <get_zip *get_zip*>(my_pet)
%% Description
% Gets acceptance dates (= version numbers) of zips in ../entries_archive
%
% Input:
%
% * my_pet: character string with na... |
function [linelist] = FindDetectedConnections(rdclseglist)
lcnt = 0;
linelist = [];
nseg = size(rdclseglist,2); % # of segments
for i=1:nseg
nline = (size(rdclseglist{i},1) - 1); % # of lines in the segment
for j=1:nline
lcnt = lcnt + 1;
linelist(lcnt... |
function [out confidences] = BayesianClassifier(testset, trainset, traingroup )
%calculate covariance matrices
h = waitbar(0,'Bayesian Classifier Training Phase');
for i = 1:10
indexes = find(traingroup == i-1);
T = trainset(indexes,:);
S{i} = cov(T) + eye(size(T,2))*0.13;
MU{i} = mean(T,1);
... |
function H6_matrix_eq = H6_matrix(L4,L5,theta1)
%H6_MATRIX
% H6_MATRIX_EQ = H6_MATRIX(L4,L5,THETA1)
% This function was generated by the Symbolic Math Toolbox version 7.0.
% 22-Oct-2018 17:07:15
t2 = cos(theta1);
t3 = sin(theta1);
H6_matrix_eq = reshape([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0... |
function [d] = summ_d2m(varargin)
DATA = varargin{1};
r = varargin{2};
type =varargin{3};
time = varargin{4};
contrasts =varargin{5};
pstr = {'acquisition', 'extinction'};
half = {'FirstH', 'SecondH'};
cstr = {'harm', 'safe', 'rev'};
ostr={'shock', 'noshoc'};
d=[];
switch type
case 'chp'
for c = 1:3
... |
function square=top_right(N,n)
square = N(1:n,end-n+1:end);
|
function [epsilon,phi_hat,channel]=LLH_estReal(rx_data_reshaped,train,nr_car, PHN_cov,sigma_sqr,L,rho)
%This function tries to estimate the Channel Impulse Response trying to
%mitigate the effect of CFO and PHN in the estimate. It can be shown that
%for low SNR it reaches de CRLB. It uses joint loglikelihood functio... |
function [neighbors,result]=simulation(nop,maxneighbor,nor,prophet)
tic
result=zeros(10,maxneighbor);
neighbors=zeros(nop,nop);
for j=1:maxneighbor
if(mod(j,1)==0)
fprintf("ÁÚ¾Ó£º%d\n",j);
for i=1:10
for k=1:nop
%neighbors(k,:)=two_net(nop,k);
%neighbors(... |
% This function performs the maximum likelihood association and outlier detection given a single measurement.
% Note that the bearing error lies in the interval [-pi,pi)
% mu_bar(t) 3X1
% sigma_bar(t) 3X3
% z_i(t) 2X1
% Outputs:
% c(t) ... |
clear ; close all; clc
matrix = load('training/matrix/data.txt');
window = load('training/window/data.txt');
% training inputs, X
X = matrix;
% training labels, y
y = window;
% training size
m = size(X, 1);
y(y!=0) = 1;
% example for y = 0
% label = 0;
% y0 = y;
% y0(y0 == label) = 100;
% y0(y0 != 100) = 101;
% y0... |
cd /Users/Juraj/Dropbox/USI/PhD/various/GridTools
%size of the problem
N = 40;
ni = N/2; % partitioning in I
nj = N/2; % partitioning in J
nk = N; % no partitioning in K
npart = 4;
%iteration count
max_iter = 20;
%build global 3D laplace matrix
[~,~,A] = laplacian([N N N]);
%figure(); spy(A); title('Laplacian A');... |
function A_r = GF(X,sigma)
%clc
% X=imread('33.pgm');
X=uint8(X);
% sigma=1;
normalize = 1;
%theta = 3*pi/4;
Y=[];all=[];
[a,b]=size(X);
X1=normalize8(X);
% X1=double(X);
%% Gaussian smoothing
%
%F = fspecial('gaussian',2*ceil(3*sigma)+1,sigma);
%XF = imfilter(X1,F,'replicate','same');
%}
%% Construct derivatives ... |
R = 50:1000/256:1050 - 1000/256;
for i = 1 : 256
% textString{i} = strcat(num2str(R(i)), ', ');
fprintf(num2str(R(i)))
fprintf(', ')
end
fprintf('\n\r')
for i = 1 : 256
% textString{i} = strcat(num2str(R(i)), ', ');
fprintf(num2str(1/R(i)))
fprintf(', ')
end
fprintf('\n\r') |
function [ output ] = calcDFT( input )
%UNTÝTLED4 Summary of this function goes here
% Detailed explanation goes here
n=length(input);
for k=0:n-1 %for each outputelement
s=0;
for t=0:n-1 %each input
s=s+input(t+1)*exp(-2i*pi*t*k/n)
end
output(k+1)=s;
end
end |
%Explicit MPC for Iris 3DR Quadcopter for z,theta,phi and psi control
clear all
% close all
clc
%Iris 3DR Parameters
g = 9.81;
m = 1.37;
lx = 0.13;
ly = 0.21;
KT = 15.67e-6;
KD = 2.55e-7;
Im = 2.52e-10;
Ixx = 0.0219;
Iyy = 0.0109;
Izz = 0.0306;
Ax = 0.25;
Ay = 0.25;
Az = 0.25;
wo = 463; %Angular vel... |
Wanneer je het element behorende bij index 2 opvraagt
van de vector v=[ -3 -2 -1 0 1 2 3], krijg je geen
foutmelding. |
clear
clc
% Algoritmo de interpolação por Splines cúbicas:
% Represente a funçao f(x)=x^3-3 com x entre 0 e 4, de forma continua e suave
a=0 %valor inicial do intervalo
b=4 %valor final do intervalo
n=4 %numero de subdivisões do intervalo [a, b] para n+1 pontos
x=a:(b-a)/n:b;
y=f4(x); % valores exatos da funçã... |
function trialseq = ALTS_sequence(settings,id)
trialseq = [];
% SHORTCUTS
col = length(fieldnames(id));
% BUILD TRIAL SEQUENCE
for ib = 1:settings.general.blocks
% GET TRIAL NUMS
go_nov_a = (settings.general.trials * settings.general.go * settings.general.nov_a);
go_nov_v = (settings... |
function sol = prob3(x)
sol = x(1) + x(2);
end
|
% Este programa retorna a resposta do exercício 3 da lista 1.
disp('3) Calcular o módulo de uma engrenagem cilíndrica de dentes retos cujo diâmetro externo é igual a 45 mm e o número de dentes é 28.')
de=45 % diâmetro externo em mm.
Z=28 % números de dentes.
disp('3)A resposta do exercício 3 da lista 1 é : o módul... |
clear
clc
%chance here for different images
x = imread('einstein.jpg');
%initializing filter of mean filter 3x3
h3 = [1 2 1; 2 4 2; 1 2 1];
sum3 = sum(h3(:));%coefficient of the matrix
h3 = (1/sum3)*h3;
%using filter with my image
y3=myconv(x,h3);
%show original image
imshow(x)
figure
%show 3x3 filtered image
imshow(... |
%% Integer Search
function [xGrid,yGrid,uGrid,vGrid,cc] = funIntegerSearchMg(f,g,gridx,gridy,winsize,winstepsize,varargin)
gridxBackup = gridx; gridyBackup = gridy; % may lose boundary regions, backup first
borderGapx = 1+round(0.75*winsize); borderGapy = borderGapx;
if gridx(1) < borderGapx, gridx(1) = borderGapx; e... |
% Script for pupil-based 3D localization
% (C) Copyright 2019 The Huang Lab
%
% All rights reserved Weldon School of Biomedical Engineering
% Purdue University
% West Lafayette, Indiana
% U... |
function short_path=GraphDist(LeafNodes,NeighborSeed,L)
%Construct the graph
supk=L;
Nnode=size(LeafNodes,1);
weight=zeros(Nnode,Nnode);
dist=pdist2(LeafNodes,LeafNodes);
for i=1:Nnode
% if isnoise(i)==0
for j=2:supk+1
x=NeighborSeed(i,j);
weight(i,x)=dist(i,x);
end
% end
end
% %... |
classdef Slice3D < Unfolding & FabOutput & Mesh3D
% Slice an STL and create a pleat-folded 3D shape
%% PROPERTIES
properties (Constant = true)
DEBUG = false;
end
properties
thickness = 1; % height of each slice (cm)
minattach = 0.1; % 0.6; % max length of crease ... |
function scores = compute_fitness_population(x,store,daySlot,countEmployee,genderEmployee,experienceEmployee,salaryEmployee,dayWeek)
%% COMPUTE_FITNESS_POPULATION
%
% Main fitness function. Computes the whole population fitness
%
% Copyright (C) 2020
%
% This program is free software; you can redistribute it and/or
% ... |
function [Q] = L_xor_R(cfg_in)
% Last 2.4 second, dt = 50ms, or last 41 bins (after all choice points) for TC
cfg_def.w_len = 48;
% Number of neurons
cfg_def.n_units = 30;
% Number of iterations
cfg_def.n_iters = 100;
mfun = mfilename;
cfg = ProcessConfig(cfg_def,cfg_in,mfun);
for ... |
classdef Export < handle
%EXPORT Summary of this class goes here
% Detailed explanation goes here
properties
data;
info;
path;
Excel;
Workbook;
end
methods
function self = Export(data, info)
self.data = data;
... |
function M = CRRharmonicDemod8(f0,f1,p0,p1,d0,d1,I,t,polAng1,polAng2)
% Equations 22.
% vectorized (as in MatLab syntax vectorization) complex harmonic demodulation
% This new version generalizes to arbitrary polarizer angles, and also
% demostrates applying the phases after the harmonic demodulation.
M = zeros(4);
a ... |
%% fn_axis
%% Syntax
% ax = fn_axis([ha,]'tight|image|tightimage',sidefactor,'y0')
%% Description
% set a nice range to axes
%
% Input:
% - flag 'tight' stretch the axis as much as possible
% 'image' set an equal ratio between x and y
% 'tightimag' stretch... |
function [data,V,SV]=dimreduction(data,method,options)
% calculates the dimensionality reducted time series by using either the
% singular value decomposition or the averaging process across the voxels.
% input: data:
% matrix of dimension Tx(n), where T is the number of
% time-point... |
function [distanceFromBot] = beaconDistance(centroid)
% Only feed this one image at a time or it'll get mad and explode
% Bottom centroid: 50mm
% Middle centroid: 100mm
% Top centroid: 150mm
focalLength = 3.04; %mm
realHeight = 100; %mm
imageHeight = 240; %px
objectHeight = centr... |
function distmat=euclidean_distance_similarity(x,y,mu,dist_xn,dist_yn)
%
% Syntax: distmat=euclidean_distance_similarity(x,y,mu,dist_xn,dist_yn)
%
% Inputs: svar signal variance hyperparameter is an (n x d) matrix of traning set containing n samples of d-dimensional
% ... |
function [Dac, kcr, flag] = Darcy_compaction(eta_0, A, B, phi_i, alpha, T, mean_wf, sigma)
%% Critical permeability threshold
% This function computes the timescale ratio between compaction and Darcian flow.
flag = 0;
% Fracture permeability at intial porosity
kfj = A*((100*phi_i).^B);
% Call pore fluid visco... |
classdef LinearSolver < ether.optim.Solver
%LINEARSOLVER Summary of this class goes here
% Detailed explanation goes here
properties
end
methods
function this = LinearSolver()
this.name = 'Linear';
this.description = 'Linear Regression';
end
function result = solve(~, problem, x, y)
if ~isvec... |
function makegif(img,filename,fps,varargin)
% Transform a 3D matrix into an image based GIF file
% Note that computer vision toolbox is required for the counter (varargin).
%
% Tom Bruijnen - University Medical Center Utrecht - 201609
% Handle input
if nargin < 4
counter=0;
else
counter=1;
end
img=abs(squeeze... |
imgoringe = imread('brains.pgm');
background = wiener2(imgoringe);
I = imgoringe-background;
imgEnhanceBrain = imadjust(I);
imshow(imgEnhanceBrain,[]);
axis on;
title('Original picture');
uiwait(msgbox('left click to choose the area'))
%draw the are to do the binary and get the roi location
drawing = drawfreehand();
bi... |
function gps_plot
clear all
close all
filepath = '/media/My Passport/ford_drivehistory/2011-09-23-download4/extracted_files/'
%filepath = '/media/My Passport/ford_drivehistory/sample/'
filenames=dir([filepath '*.mat']);
colours = 'bgrcmyk';
for i=1:size(filenames,1)
disp([ num2str(i) ' ' filenames(i).name])
... |
function [binned_avg,bin_sem]=binnedAverage(data,bin_width)
nr_points=length(data);
lower_bounds=1:bin_width:nr_points;
upper_bounds=bin_width:bin_width:nr_points;
nr_bins=numel(upper_bounds);
binned_avg=NaN(nr_bins,1);
bin_sem=NaN(nr_bins,1);
for b=1:nr_bins
binned_avg(b)=nanmean(data(lower_bounds(b):upper_bound... |
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