text stringlengths 8 6.12M |
|---|
function [outputArg1,outputArg2] = sea_corr(data,data_sea_surface,data_under,segment,num_seg,start_id,end_id)
%UNTITLED 此处显示有关此函数的摘要
% 该文件夹的主函数
% data为整幅影像数据，也可以为片段数据，但是最好是整幅影像数据
% 此处显示详细说明
end
|
%生成gif
fps = 40; %帧数
flage = true;x = -8:0.01:8;
fi = [0:0.1:4, 4:-0.1:-4, -4:0.1:4];
figure
for i = 1:length(fi)
y = f(x,1,0);
axes1 = axes('Parent',gcf);
axis([-8,8,0,0.8]);
hold(axes1,'on');
set(axes1,'YAxisLocation','origin');
plot(x,y,'LineWidth',2)
y = f(x,1,fi(i));
plot(x,y,'Line... |
function [ partial_deviation_norm ] = getPartialDeviations(f0, fk, beta)
%% compute deviation of estimated partials with theoretical partials
% f0: numBlocks * 1
% fk: numberOfPartials * numBlocks
% beta: numBlocks * 1
% partial_deviation_norm: numberOfPartials * numBlocks
k = (1:size(fk,1))';
zero_indices = find(~f0);... |
function [rePh, Kr] = RetardPhaseBode1(FTBO, erpd, wgd, marge)
% Retourne le compensateur retard de phase pour la fonction de transfert
% FTBO
% param: FTBO - la fonction de transfert à compenser
% param: erpd - l'erreur désirée
% param: wgd - la fréquence de traverse en gain désiré
% param: marge - la marge ... |
function [ u,v,w ] = getAvgVel( nx,ny,nz2,cores,str,zmin_buf,zmax_buf)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
for i=1:cores
% Access the different files
name = str(i).name;
fid=fopen(strcat('./output/',name),'r');
% Determine the core number of the ... |
function plot_codebook_votes(votes, c)
scatter3(votes(:,1), votes(:,2), votes(:,3), 20, c, 'filled');
end |
function [data,param]=smoothBoundary(data,center,order)
numpoints=size(data,1);
data=bsxfun(@minus,data,center);
theta=atan2(data(:,2),data(:,1));
radius=bsxfun(@hypot,data(:,1),data(:,2));
basis=ones(numpoints,1+2*order);
column=1;
for m=1:order
q=m*theta;
column=column+1;
basis(:,column)=cos(q);
co... |
function output = RLEncode( x )
% RLEncode run-length encoding
%
% OUTPUT = RLEncode( INPUT )
% produces a run-length encoded version of the 1xN vector INPUT. OUTPUT
% is a Nx2 array, where the first column are the values of each run and
% the second column are the lengths of each run.
% Copyright 2007-20... |
%% script to read all labelled data csv file in a specified folder and convert to commom format in a new folder
%% define some parameters
clear
root_fd = 'C:\Data\DLC_datasets';
labeled_data_fd = 'C:\Data\DLC_datasets\ReachPlus';
new_labeled_data_fd = 'C:\Data\DLC_datasets\ReachPlus_NEW';
scorer = 'AS'; % to keep ... |
function plot_weights(weights, name, color)
% Make stem plot of the regression coefficients. Specify the name of the
% model and an associated color
zw = weights == 0;
nw = 1:1:length(weights);
h = stem(nw(~zw), weights(~zw), 'filled', 'Color', color);
hold on
if ~isempty(nw(zw))
h(2) = stem(nw(zw), weights(zw), ... |
clc; clear;
cd('\\data.triton.aalto.fi\scratch\nbe\socialneurocognition\summer_data\subjects_pre_results_2')
addpath('\\home.org.aalto.fi\zhangj14\data\Documents\matlab_first\packages')
subjects = [56:58];
%%
for subj = subjects
load(strcat('zeropadded-', num2str(subj), '.mat'));
len_pre = ... |
function [] = Q_7_8(K)
j=1;
X=zeros(1,20);
A=zeros(1,20);
B=zeros(1,20);
C=zeros(1,20);
for n=5:5:100
X(j)=n;
for i=1:K,
%A
[~,time]=RGP(n,@isT1);
A(j) = time + A(j);
%B
[~,time]=RGP(n,@i... |
function [out]=shift(in,shiftr)
%完成m序列的循环移位
l=length(in);
out=in;
shiftr=rem(shiftr,l); %取移动位数关于码长的余数
out(:,1:shiftr)=in(:,l-shiftr+1:l); %输出的最后shiftr位移到前shiftr位上
out(:,1+shiftr:l)=in(:,1:l-shiftr); %其余位数依次移位
end |
function handles = ChangeLegStatus(handles,Leg,Neighbor)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function handles = ChangeLegStatus(handles,Leg,Neighbor)
%
% Change leg status following Footprint status toggle button actions by the
% user. OR if Neighbor ~= 0, change current l... |
function [T,I,Y]=perfusionResponsepotent2P2X4indep(y0,ton,toff,Ttot)
ode=modelODEpotent2P2X4indep(ton,toff);
[T,Y]=ode15s(ode,[0 Ttot],y0,odeset('NonNegative',1:21));
I=getTotalCurrentpotent2P2X4indep(Y);
end |
function waitForJob(job, interval)
% waitForJob(job, interval)
% Waits for one or multiple jobs and displays progress data in a
% regular interval (60 seconds by default).
%
% Written by
% Manuel Berning <manuel.berning@brain.mpg.de>
% Alessandro Motta <alessandro.motta@brain.mpg.de>... |
%=========================================================================%
% PlotResults.m Plotting Function of MOVESTAR %
% %
% Script for plotting results of fuel consumption and pollutant emissions%
% ... |
clearvars j1 j2 j3 b1 b2 b3;
fstatus = memmapfile('status.txt', 'Writable', true, 'Format', 'int8');
fstatus.Data(1) = 48;
j1 = memmapfile('junction1.txt', 'Writable', true);
j2 = memmapfile('junction2.txt', 'Writable', true);
j3 = memmapfile('junction2.txt', 'Writable', true);
b1 = memmapfile('buffer1.txt', 'W... |
function [output] = fn_least_squares(x_in, y_in, order, output_mode)
% Author: Alex Wong (almw994@uowmail.edu.au)
% fn_least_squares v1.0 25-07-2019
%
% fn_least_squares calculates the Nth-degree least square polynomial
% of an x-y data series for best-fitting
% syntax:
% fn_least_squ... |
% MIT License
%
% Copyright (c) 2017 Jose Bravo Ferreira
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
%{
When writing your code please use this class to simulate the
behavior of the robot. Below is an example of how the botSim class should be used.
%}
clf; %clears figures
clc; %clears console
clear; %clears workspace
hold on;
axis equal; %keeps the x and y scale the same
map=[0,0;60,0;60,45;... |
% Each row needs to be one of the curves with same number of pieces across
% all curves
function [nvbar,avg,totdist] = karchermeanpieces(X)
numCurves = size(X,1);
numPieces = size(X,2);
N = 100; M = 300;
maxIter = 200;
eps = 0.05;
nvbar(1)= 1;
k = 2;
totdist = 0;
n = size(... |
function uyy = fd2d_d2udy2(f,dx)
uyy = (f(2:end-1,3:end)-2*f(2:end-1,2:end-1)+f(2:end-1,1:end-2))/(dx^2);
|
function txsig = signal_compensation(rxSig,freq,mphase,len);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
txsig=rxSig.*exp(-1*j*(2*pi*freq*[0:len-1]+mphase));
end
|
function [rho_fg]=rho_fg_HEOM (V_ex_fg,N,tot_vib,H_trunc,HL,rho_eg,...
sup_op_ge,t2_range,om2_rng,om_scale,simp_mix,tol )
t1L = size(rho_eg,4); %length first signal in time / freq space
if isempty(om2_rng)
t2L = length(t2_range); %length to prop in t2
else
t2L = le... |
function qamar_learning_monkeyL_psychophysics_eta(int_indx)
rng(int_indx);
[GAMMAE,ETA0] = meshgrid(logspace(-5,0,10),logspace(-5,0,20));
GAMMAE = GAMMAE(:);
ETA0 = ETA0(:);
% network parameters
nhu = 200;
L = 3;
nneuron = 50;
nnode = [nneuron nhu 1];
ftype = 'relu';
objective... |
%% READ IN DATA AND SAVE AS MAT
% pconn_preproc_read_data
clear all
restoredefaultpath
% -------------------------------------------------------------------------
% VERSION 4 - TASK
% -------------------------------------------------------------------------
denoise = 'no';
v = 1;
pad = 1200/2; % 500 m... |
%% subsref
% cellNetwork class subsref method
%%
%% Syntax
% val = subsref(N,indices)
%
%% Description
% Return the property of a cellNetowrk object.
%
%% Inputs
% * N - a cellNetwork object
% * indices
%
%% Outputs
% * val - the value of the corresponding property
%
%% Examples
% >> N.vertices
% >> N(2).v(4)
%
... |
close all;clear all;
run matconvnet/matlab/vl_setupnn;
addpath('utils')
%%Set parameter
scale = 3;
backbone_name = ['lcsc76_x', num2str(scale), '_backbone.mat'];
load(backbone_name);
backbone_model = lcsc;
fusion_name = ['lcsc76_x', num2str(scale), '_fusion.mat'];
load(fusion_name);
fusion_model = attention... |
function [y] = Fun_ExpEuler(y_0, A, tau)
y = y_0 + tau * A * y_0;
|
classdef RarmaSolvers
% Class implementing many of the optimizers required for
% regularized ARMA
properties(Constant)
SUCCESS = 0;
ERROR_MAXITER = 10;
ERROR_BACKTRACK = 20;
ERROR_BACKTRACK_MAXITER = 21;
end
methods(Static)
function stepsize = line_sear... |
function ReturnWavelength=MatchWavelength(x,y,centerWavelength,grating)
order=grating/150;
y=y/max(y);
PeaksFile = fullfile('HgNe Lamp Data','Peak Pixels and Wavelengths.csv');
DataFile=fullfile('HgNe Lamp Data','Visible HgNe Wavelengths.csv');
LampData=csvread(DataFile,1);
LampPeaks=csv... |
function [ u,v ] = anisoTVDenoise( lambda,wh,wv ,varargin)
% this function compute ||u,v||_l+lambda||u-wh||^2+||v-wv||^2
if nargin==4
if size(wh)==size(wv)
V=abs(wh);
V(V==0)=1;
V=max(V-lambda,0)./V;
u=(wh/varargin{1}).*V;
V=abs(wv);
V(V==0)=1;
... |
z = 78;
img = imread(['/Users/marcWong/Data/ProcessedData/001A/coloredimg/layer' num2str(z) '/17.jpg']);
roi = imread(['/Users/marcWong/Data/ProcessedData/001A/roi/roi' num2str(z/6) '.jpg']);
%Gx = load('/Users/marcWong/Data/ProcessedData/001A/t17Gx.txt');
%Gy = load('/Users/marcWong/Data/ProcessedData/001A/t17Gy.txt')... |
%% Random parameter generator for data validation
% Generate a text file with 36 random number from 0 to 1
path='C:\Data\';
fileName='fileName';
n=36;
M=rand([n 1]);
dlmwrite([path,fileName,'.txt'],M,'delimiter','\t') |
clear all
close all
headerlinesIn=0;
delimiterIn=' ';
fontsize_labels = 18;
fontsize_grid = 16;
fontname = 'Times';
%180: 8-1140
%360: 128-4096
%550: 512-16384
%1000: 2048-32768
a=[180, 360, 550, 1000];
b=[8 16 32 64 128 256 512 1024 2048 4096 8192 16384 32768];
nel=[36480,237120,853632, 1264032];%
pol=[8, 8, ... |
%% for a fixed sensor-finger combination...
function bS = angToB_sym_static(theta)
r = angToP_sym_static(theta);
h = angToH_sym(theta);
Br = 12.6e+03;
mu_0 = 4*pi*1e-07;
mu_r = 1.05;
% addFact = 0.2312;
addFact = 1;
lam = (Br*mu_0*mu_r)/(4*pi)*addFact;
lambda = [lam -lam lam];
b = symfun((((3*r*(h*r'))/(norm(r)^5))... |
%% init
close all; clear all;
save_figs = false;
Ningreds = [4,6,8,10,12,14,16,20]';
Nfits = length(Ningreds);
maxent1v2s = cell(Nfits,1);
maxent1s = cell(Nfits,1);
maxent2s = cell(Nfits,1);
freqs = cell(Nfits,1);
load('data/recipentropy_4in_large.mat');
maxent1v2s{1} = maxent1v2;
maxent1s{1} = maxent1_large;
maxent2... |
function [FoM,stdFoM] = sbrs_netv2(spec,tpltSpec,roi)
% 尝试实现 Heider 提出的SBRS能谱处理方法
% 论文：Signature-based radiation scanning using radiation interrogation to detect explosives
% spec:N列实测能谱，第一列为air谱，其它列为样品-air谱
% tpltSpec：M列模板谱，第一列为air谱，要求与spec统一纵轴
% roi：与能谱道数一致的单列向量
%
% FoM：M行N列相似度指标,每列代表每能谱和1~M个模板的相似度
% stdFoM:M行N列相似度指标... |
function [ret_theta, ret_r] = f_rungeKutta(phi0, Hn, N0, theta, begin, step, stop)
r0 = begin;
theta_array = theta;
r_array = r0;
for r = begin:step:stop
k1 = step * f_dtheta(r , r0, phi0, Hn, N0);
k2 = step * f_dtheta(r + step/2, r0, phi0, Hn, ... |
function erp = errRP(FTBO)
% Retourne l'erreur en régime permanent
% param: FTBO - la fonction de transfert
% return: erp - l'erreur en régime permanent
erp = 1/(FTBO.Numerator{:}(end)/FTBO.Denominator{:}(end-GetClass(FTBO)));
if (GetClass(FTBO) == 0)
erp = 1/((FTBO.Numerator{:}(end)/FTBO.Denominator{:}(en... |
% imageName = 'both_10_255.jpg';
pic = imread(imageName);
figure;
subplot(1,2,1)
imshow(pic)
res = input('uniform; enter line \n');
u = pic(:,res,1);
res = input('gaussian; enter line \n');
g = pic(:,res,1);
res = input('truncated gaussian; enter line \n');
t = pic(:,res,1);
res = input('square; enter line... |
function [ segmented, centroids ] = kmeans_segment( image, Kclusters )
image_vector = turn_into_vector(image);
[idx, centroids] = kmeans(image_vector', Kclusters);
segmented = turn_into_image(idx', centroids, image);
figure; subplot(1,2,1); imshow(image); title('Original image');
subplot(1, 2, 2); imshow(u... |
function [I, C]=lineline2d(l1p, l1n, l2p, l2n)
%oUTPUTS:
%
% I is the point of intersection
%
% C indicates intersection condition:
% 1 => parallel or colinear
% 2 => intersects
t = (l2p - l1p) / [l1n; -l2n];
if any(abs(t) == [inf inf])
C = 1;
I = nan(1, 2);
return;
end
C = 2;
I = t(1) * l1n + l1p; |
% Milestone 2a - Corneel T Jonck and Vincent Vanweddingen (groep 5)
clear all;
close all;
%%%%%%%%%%%%%%%%%%%%
% Setting parameters
%%%%%%%%%%%%%%%%%%%%
Nq = 6;
M = 2^Nq;
cpr = 600;
SNR = 25;
fftSize = 2^10;
frameSize = fftSize/2-1;
z = Nq*frameSize;
thresh = -110; %% for bitloading, cfr figure 1
%%%%%%%%%%%%%%%%%%%%... |
function [ integrated ] = windowIntegration( cond, act, respHist, windowSize )
%WINDOWINTEGRATION calculate log-posterior for sequence of responses, given
% an integration window size and conditional probabilities
integrated = zeros(size(cond, 1), size(cond, 2), size(act, 2));
for i = 1:size(act, 2);
lower = max(1,... |
function [ ] = ej23( )
close all;
im1 = imread('./images/Einstein.jpg');
im2 = imread ('./images/Monro.jpg');
h1 = fspecial('gaussian',20,10);
h2 = fspecial('gaussian', 15, 18);
lowim1 = imfilter(im1, h1);
highim1 = im1 - lowim1;
lowim2 = imfilter(im2, h2);
figure;
subplot(2, 5, 1); imshow(highim1);
subplot(2, 5... |
function varargout = Menu_creation_gui(varargin)
% MENU_CREATION_GUI M-file for Menu_creation_gui.fig
% MENU_CREATION_GUI, by itself, creates a new MENU_CREATION_GUI or raises the existing
% singleton*.
%
% H = MENU_CREATION_GUI returns the handle to a new MENU_CREATION_GUI or the handle to
% the ex... |
function [T] = constructT(Y)
% constructT（）将标签向量转换成相应的矩阵形式
% Y是标签
type_num = size(unique(Y),1);%类别数目
[m,n] = size(Y);
T = zeros(type_num,m);
for i = 1:type_num
index = find(Y==i);
c = size(index,1);
for j = 1:c
T(i,index(j)) = 1;
end
end
end
|
function x = newton(x,Fg, Fgprime, tol)
%
% Usage: x = newton(x, Fb, Fgprime, tol)
%
% This routine solves the scalar-valued nonlinear equation f(x)=0
% using the newton method to a residual tolerance of tol.
%
% inputs: x initial guess
% tol REAL solution tolerance
% Fg ... |
function updated_cv = competitive_learning(data, codevectors, learning_rate)
data_size = size(data);
rand_row = rand;
rand_row = floor(data_size(1) * rand_row);
if rand_row <= 0
rand_row = 1;
end
row = size(codevectors);
row = row(1);
ax = sum(max(data).^2);
for index = 1:row
distance = ((dat... |
%Script to evaluate the performance of adlist application
%File that consist true blacklist urls
sFileName = 'blacklist.txt';
%True blacklist urls
cTrueBlacklistUrls = readTrueBlacklistFromFile(sFileName);
%Adlist blacklist urls
sUrl = 'http://adlist.herokuapp.com/urlpublish';
tAdlistUrls = getAdlistTable(sUrl);
%Read... |
function outdata = zeromean(indata, start, stop)
%outdata = zeromean(indata, start, stop)
%
%Subtracts the mean value from each column in the matrix from each value
%in each column. Start and stop sample values are optional. Indata is a
%NSamps x NChans matrix, such as that returned by rd_onetr_allch (c.f.).
%
%Modifi... |
% history_length = 10; % sample num
% dop = 1; % deg of polynomial NOTICE! dop too high will make(A'*A) close to singular and cause numeric issue when using code gen mode.
A = zeros(c_history_length,c_dop+1);
% osam = 0; % offset sample
%
for i = 1:c_history_length
for j = 1:c_dop+1
A(i,j) = ((i-c_histor... |
function [bd_dsy,prob,dsq,dscen,edges] = general_backdooreffect_q_fixed_centroid(ds,dscen,x,y,z,w,b,delta)
%This function return the Probability of Pr(Y / do(X=x),W=w) using the backdoor
%adjustement with the set z Pr(Y / do(X=x),W=w) = sum_{z}Pr(Y/X=x,W=w,Z=z)Pr(Z=z)
%In this version the dataset is quantized, the prob... |
% From CO2 optimization problem
m_dot= 0.14;
% Obtaining the model
[A13,B13,C13,E13] = LoadBuildingParametersAndBuildTemperatureMatrices(m_dot);
iNumberOfInputs = size(B13,2);
iNumberOfDisturbances = size(E13,2);
% Matrix Definition
Cf = 9.14 * 10^4;
Cs = 1.62 * 10^7;
... |
function [ ] = ex44b( )
close all;
figure;
addpath('ViolaJones','ViolaJones/SubFunctions');
bgSet={'landscape.jpg','room.jpg','natural.jpg'};
i = 1
for fimg=bgSet,
subplot(2, 3, i);
img=imread(['images/' char(fimg)]);
imshow(img);
subplot(2, 3, i+3);
sho... |
% book : Signals and Systems Laboratory with MATLAB
% authors : Alex Palamides & Anastasia Veloni
%
%
%
% Problem 5- impulse response of a continious time system
num=conv([1 2],[1 -3]);
den=[1 9 26 24];
t=0:.1:3;
h=impulse(num,den,t);
plot(t,h)
title('Impulse response')
%second way
figure
... |
clc;
fileID=fopen('E:\Project\Weizmann Files\New\glcm1.csv','a'); % path for output csv file
total=2000; % Total number of features
for k=1:total
fprintf(fileID,'att_%d,',k); %Writing into csv file as columns
end
fprintf(fileID,'Class'); ... |
sparse_random_practical = 9*ones(N,J);
examinee_record_random_practical = zeros(size(theta,1),test_cali);
item_record_random_practical = zeros(J,target_sample);
unselect = index_cali;
item_finish = [];
%%
for examinee = 1:N
unselect = setdiff(unselect,item_finish);
item_chosen = randsample(unselect,min(test_ca... |
%% code2_functions.m Demonstration code for functions
%% scripts
% this m-file is a script
% show help text for a script
help code2_functions
% look for help text that contains some word
lookfor demonstration
% percent sign starts a comment
%{
percent sign and set brace start a comment block that
can co... |
function varargout=PatientStructHelper(INPUT_STRUCT,varargin)
% PatientStructHelper
% A helper function for adding and retrieving fields from cell arrays
% of structures.
%
%
%
% OUTPUT_STRUCT=PatientStructHelper(INPUT_STRUCT,...
% {'field_name1',INDEX_ARRAY1,DATA1},...
% ... |
r=30;
if exist('W')==0
D=load('./USPS/trai_data.txt');, trai_label=load('./USPS/trai_label.txt');
Q=load('./USPS/test_data.txt');, test_label=load('./USPS/test_label.txt');
[Dim,trai_num]=size(D);,[Dim,test_num]=size(Q);
for i = 1 : trai_num, D(:,i)=D(:,i)./norm(D(:,i));, end
for i = 1 : test_num, Q(:... |
% SDDP parameters
params = sddpSettings('yalmip.declareVariables',@()declareVariables(modelparams),...
'algo.McCount',10, ...
'algo.iterationMax',100,...
'termination.checkStdMc',false,...
'termination.checkPer... |
% Tanvir Ferdousi
% Kansas State University
% Last Modified: Apr 2017
% Copyright (c) 2019, Tanvir Ferdousi. All rights reserved.
% Redistribution and use in source and binary forms, with or without
% modification, are permitted
% Loads adjacency matrix and generates neighborhood style data
function Net = NetLoad(fil... |
% OSMNET read OSM data as JSON and plot graph
% Clas Rydergren, clas.rydergren@liu.se, 2013-09-12
% Uses http://www.cs.sunysb.edu/~kyamagu/software/json/
% for reading the JSON into Matlab.
% Read the JSON exported from Overpass-turbo.eu as "raw" data (JSON)
% X=json.read('C:\Users\clary35\Documents\MATLAB\large4.js... |
% 信号作FFT变换，得到信号的频谱
% 本程序不适用于宽带信号
function [ff,amp] = myfft(fs,x,draw,linewidth,style)
if nargin < 5
style = '-';
end
if nargin == 2
draw = 0;
end
if nargin == 3
linewidth = 1;
end
NN = length(x);
% ff = (0:floor(NN/2))*fs/NN;
% amp = abs(fft(x)/NN*2);
% amp = amp(1:(floor(NN/2)+1));
ff = linspac... |
pointx = zeros(16,4);
pointy = pointx;
textpoint = zeros(16, 2);
a = 1;
for i = 1:4
for j = 1:4
[i, j]
pointx(a,:)=[j-1, j-1, j, j];
pointy(a,:) = [4-i, 5-i, 5-i, 4-i];
textpoint(a,:) = [j-0.5, 4.5-i];
a = a+1;
end
end |
function repP=Ei400_uvw111_at10m1TpMod2P(varargin)
root = fileparts(pwd);
data_source= fullfile(root ,'sqw','Data','Fe_ei401.sqw');
bragg = [1,0,-1];
dE = 10;
dK = 0.05;
pefP1= [-0.26,-0.14,0,0.14,0.36;
90,20,0,20,140];
pefP2 = [-0.26,-0.14,0,0.16,0.34;
100,20,0,20,130];
pefP3 = [-0.26,-0.11,0,0.19,0.34;
... |
function tables = getSummaryTables(obj)
% GETSUMMARYTABLES
%
%
% Created by Megan Schroeder
% Last Modified 2014-03-29
%% Main
% Main function definition
varNames = {'Walk_Control','Walk_PatellaACL','Walk_HamstringACL',...
'SD2S_Control'... |
function [expl, obsv_mean, obsv_std] = collect_expl_obsv_vector(expl_in, obsv)
expl = unique(expl_in);
obsv_mean = [];
obsv_std = [];
for e = expl
obsv_mean = [obsv_mean nanmean(obsv(e == expl_in))]; %#ok<AGROW>
obsv_std = [obsv_std nanstd(obsv(e == expl_in))]; %#ok<AGROW>
end
end
|
% % This scripts runs the basic analysis for everyday observation of the
% % mice's behavior in the magazine approach paradigm. A white noise is
% % followed by food 10 sec later (marked with a clicker). There is a 10-s
% % pre-CS period for baseline levels of responding. The experiment was run
% % in the old chambers.... |
function [y_ch,y_rt,prob_choice] = bamp_rw_linear_binary_sim(r, infStates, p)
% Simulates logRTs with Gaussian noise
% as well as choices under the IOIO task model
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2016 Christoph Mathys, TNU, UZH & ETHZ
... |
function Proc = ImageEdge(labeled,xLength,yLength,gX,gY,addX,addY,objectID)
% **********************************************************************************
% *
% * ImageEdge(labeled,xLength,yLength,gX,gY,addX,addY,objectID)
% *
% * labeled = labeled image
% * xLength = distance to travel it x dir
% * yLe... |
function [a, b] = centering(a, b)
if length(a) > length(b)
lenDiff = length(a) - length(b);
if rem(lenDiff, 2)
b = [zeros(fix(lenDiff/2), 1);b;zeros(fix(lenDiff/2)+1, 1)];
else
b = [zeros(lenDiff/2, 1);b;zeros(lenDiff/2, 1)];
end
else
lenDiff = length(b) - length(a);
if rem(lenDi... |
function show_neg_clusters( clusters, patches )
% threshold clusters to > 1
old_clusters = clusters;
clusters = {};
c = 1;
for i=1:size(old_clusters,2)
cluster = old_clusters{i};
if size(cluster,2) >= 1
clusters{c} = cluster;
c = c + 1;
end
end
num_clusters = size(clusters,2)
scrsz = get(0,'ScreenSize')... |
function shutdown(program)
save_data( program );
close_window( program );
close_arduino( program );
delete_trackers( program );
handle_cursor();
handle_keyboard();
end
function delete_trackers(program)
if ( isfield(program.Value, 'tracker') )
delete_tracker( program.Value.tracker );
end
end
function delete_tr... |
[data,varnames,casenames] = tblread('training_set.tab', '\t');
healthy = data(:,varnames(:,6) == '1');
unhealthy = data(:,varnames(:,6) == '0');
scores(1:4400,1:2) = 0;
for i=1:length(casenames)
m1 = mean2(var(healthy(i,:)));
m2 = mean2(var(unhealthy(i,:)));
%fprintf('Positive average=%f, negative averag... |
function [D]=d_compute(xt,xp,W)
[mx,nx]=size(xt);
[pmx,pnx]=size(xp);
D=zeros(pmx,mx);
for i=1:pmx
for j=1:mx
D(i,j)=sqrt((xt(j,:)-xp(i,:))*W*(xt(j,:)-xp(i,:))');
end
end
end
|
%% Dielectric-Slab model: Semi-empirical model forms
% Bush T, Ulaby F (1976) Radar return from a continuous vegetation canopy. IEEE Trans Antennas Propag 24(3):269–276
%%
clear;
%% Alfalfa: Freq: 8.6 GHz
% A = [0.469 9.941 26.73 0.35];
%% Alfalfa: Freq: 13.0 GHz
% A = [0.269 12.827 46.01 0.46];
%% Alfalfa: Freq: 17.... |
function [] = SegmentRefine(ImName)
% SEGMENTREFINE - Main graph cuts segmentation function
% SEGMENTREFINE(IMNAME) - ImName - Image to segment
% Authors - Mohit Gupta, Krishnan Ramnath
% Affiliation - Robotics Institute, CMU, Pittsburgh
% 2006-05-15
% Global Variables
global sopt ih_img fgpixels bgpixels fgflag segI... |
function exp = laser_OL_half_sec(exp)
laserDistribution = exp.protocolArgs{1};
laserParams = exp.protocolArgs{2};
pulseDuration = .5; % sec
exp.laserDistribution = laserDistribution;
exp.laserParams = laserParams;
exp.nullEpochs = [1:2:17];
exp.leftEpochs = [2:2:16];
ex... |
classdef MotionArtifactCheck< nirs.modules.AbstractModule
%MOTIONARTIFACTCHECK Summary of this class goes here
% Detailed explanation goes here
properties
filenamedigit1=1;
filenamedigit2=2;
absvariance=30;
channelofinterest=1;
end
methods
function... |
% <ENG 6, SQ16 Lab 005>
% <Chengeng, Xiao>
% <913186040>
% <A07>
%% Problem 1
% 2) The script file
A1 = [3 1; 1 6]; B1 = [9; 20];
A2 = [3 1; 6 2]; B2 = [9; 18];
A3 = [3 1; 6 2]; B3 = [9; 20];
% Load the data
X = Lab5(A1, B1);
disp(X);
X = Lab5(A2, B2);
disp(X);
X = Lab5(A3, B3);
disp(X);
% Call your f... |
function x = fsub(L,b)
% solve Lx = b where L is an
% nxn lower triangular matrix
n = size(L,1);
x = zeros(n,1);
x(1) = b(1)/L(1,1);
for i = 2:n
x(i) = (b(i) - L(i,1:i-1)*x(1:i-1))/L(i,i);
end |
function F=scarsplslda(X,y,A,K,method,num,OPT)
%+++ This is the simplified version of CARS, only retaining the EDF element.
%+++ num: the number of Monte Carlo Sampling.
%+++ A: the maximal number of PLS components to extract.
%+++ fold: number of folds for cross validation.
%+++ method: pretreat method, 'cente... |
% 双线性变换法设计ChebyshevI型带通滤波器
% 技术要求：
% 通频带：wp1~wp2：0.4*pi~0.6*pi（单位：弧度） 最大衰减：1db
% 阻带：ws1 = 0.2*pi（单位：弧度） ws2 = 0.8*pi（单位：弧度）最小衰减：40db
clear;
clc;
clf;
rp = 1;
wp1 = 0.4*pi;
wp2 = 0.6*pi;
rs = 40;
ws1 = 0.2*pi;
ws2 = 0.8*pi;
T = 0.001;
wp3 = 2/T*tan(wp1/2);
wp4 = 2/T*tan(wp2/2);
ws3 = 2/T*tan(ws1/2);
ws4 = 2/T*tan(ws2/2)... |
function th_ulf_process(tint,thId,freqRange)
%TH_ULF_PROCESS process THEMIS ULF data
%
% th_ulf_process(tint,thId,freqRange)
% ----------------------------------------------------------------------------
% "THE BEER-WARE LICENSE" (Revision 42):
% <yuri@irfu.se> wrote this file. As long as you retain this notice you... |
%-------------------------------------------------------------------------------
% Four-way classification: male-day/male-night/female-day/female-night
%-------------------------------------------------------------------------------
%-------------------------------------------------------------------------------
%% La... |
function [Setup_out] = checkModelOptions(Setup)
%CHECKOPTIONS Checks model contradictions
Setup_out = Setup;
if ~Setup.ModelOptions.Defender.SixDoF
Setup_out.ModelOptions.Defender.MotorLag = 0;
end
if ~isequal(Setup_out,Setup)
warning('Model Options were modified due to c... |
classdef HMM < handle
properties
dim % dimension of the state space
D % dimension of the observation space
pi0 %initial distribiutions
A % transition probabilities
obsTypes % obsTypes is input to the constructor of the dists.GPEF distribution
%
... |
A = [-1 0 0; -1 -2 -101; 1 1 0];
B = [0 1; 1 -1; 0 0];
C = [1 0 101];
D = [0 0];
u_t = [1; -2];
syms s;
syms teta;
h = 0.1;
A_d = ilaplace(inv(s * eye(3) - A), h);
B_d = int(ilaplace(inv(s * eye(3) - A), teta) * B, teta, 0, h);
A_d1 = double(A_d);
B_d1 = double(B_d);
[num1s, den1s] = ss2tf(A, B, C... |
function [ output] = rsos( input )
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
output=sqrt(sum(abs(input).^2,3));
end
|
classdef rlPGAgent < rl.agent.AbstractOnPolicyPGAgent
% rlPGAgent: Implements policy gradient (REINFORCE) agent
% Copyright 2017-2019 The MathWorks Inc.
properties (Access = private)
% Flag used for validation since PG option validation differs
% between pre-post construction
... |
% shows an image with arrows, represention the movements of sift-points
function showImageWithSiftMovements(im1, im2, optionalThreshold)
% optional
if nargin < 3
optionalThreshold = 1.5;
end
%\optional
checkImageSizes(im1, im2);
checkSize('optionalThreshold', optionalThreshold, [1,... |
function [ xi, yi ] = findInterpsVert( ni,meshdomain,x,y )
pert = 0.000001;
y_temp = linspace(y,meshdomain(4)-pert,ni*3);
x_temp = x;
xi = x_temp;
yi = y_temp(2:end-1);
end
|
function scale = SIN_CalAudio(REF, varargin)
%% DESCRIPTION:
%
% The calibration procedure for SIN sets the HINT-Noise.wav (a speech
% shaped noise sample) to 0 dB and scales all other stimuli or stimulus
% sets to also rest at 0 dB. The user can then present the HINT-Noise
% stimulus through their sound playba... |
% Readfile_textscan
% script that reads from a file using textscan
% open the file
file_id = fopen('GBplaces.csv');
if (file_id == -1)
error ('The file could not be opened.');
end
% only open the file if it exists, file_id =/= -1
% read the data with textscan, skipping first line
data = textscan(fil... |
function [ out,P_max,Q_max,d_max ] = local_search( p,q,P,Q,C,delta,bin )
%p and q are index of P and Q in matrix co_ordinates
[r,c,~] = find(C);
co_ordinates = [ r c ] ;
%CHANGE THE CONDITION FOR END POINTS
if p-delta< length(co_ordinates)
P_2 = P;
else
P_2 = co_ordinates(p-delta,:);
end... |
function preds=knnclassifier(xTr,yTr,xTe,k);
% function preds=knnclassifier(xTr,yTr,xTe,k);
%
% k-nn classifier
%
% Input:
% xTr = dxn input matrix with n column-vectors of dimensionality d
% xTe = dxm input matrix with n column-vectors of dimensionality d
% k = number of nearest neighbors to be found
%
% Output:
% pr... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.