www.gusucode.com > 生物信号工具箱 > 生物信号工具箱/生物信号工具箱/Biosignal/Biosignal/Biosignal.m
% _______________________________________________________________________________
% Copyleft (l) 2010 by Ikaro Silva, All Rights Reserved
% Contact Ikaro Silva (ikarosilva@ieee.org)
%
% This library (Biosignal Toolbox) is free software; you can redistribute
% it and/or modify it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program; if not, write to the Free Software
% Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
% 02111-1307 USA
%
% _______________________________________________________________________________
%
%
% Biosignal Toolbox Version 1.0
%
% Biosignal Toolbox is a collection of general M-functions that perform some useful signal processing,
% analysis, or utility support for the investigation of biological signals (EEG, evoked potentials
% and non-stationary noise enviroments etc). Most of these functions, however, are generic
% enough to be applicable to other fields or signals.
%
% Some of these functions I wrote as I came across interesting concepts in textbooks and
% articles. As this is still a work in progress, if a function reference is unclear to you please
% contact the author at ikarosilva@ieee.org and I will try to update as soon as possible.
%
% Please report any bug or issue to ikarosilva@ieee.org. Thank you!
%
% The following is a Table of contents describing the Toolbox:
% Table Of Contents:
%
%
% Adaptive Algorithms
% -------------------------------------
% alms - Adaptive Least Mean Square Filter
% arls - Adaptive Recursive Least Square Filter
% gall - Gradient Adaptive Laguerre Lattice Filter
% harmonic_est - LMS Harmonic Frequency Tracking
% harmonic_recon - Harmonic Reconstrunction of Signal based on harmonic_est
% kallman - Kallman estimate of the best linear combinations of
% a set of signal to estimate a desired response
%
% Filters
% -------------------------------------
% reson - Design a resonant filter
% notch - Design a notch filter
%
% Graphs
% -------------------------------------
% eegplot - Plots EEG data on
% fftplot - Plots spectral estimate based on th esimple FFT output
%
%
% Stationary_Analysis
% -------------------------------------
% slength - Computes the signal length (minimum phase signal should yield minimum length)
% acf - Computes the ACF (autocorrelation function) distance in the signal
% sem - Computes the SEM (spectral error measure) distance in the signal
%
%
% Statistical_Test
% -------------------------------------
% israndom - Non-parametric test for determining if a sequence is random.
% runstest - Calculates runstest for randomness
% std_err - Estimates the standard error for Standard error for the mean, proportion and estimates
%
%
% Statistical_Processing
% -------------------------------------
% least_sqfit - Implements generic Least Square Fitting for linear models.
% lda - Linear Discriminant Analysis
% woody - Function for performing Woody and Thornton time aligned averages
% wnsfmp - Function for peforming weighted averaging and estimating SNR under non-stationary noise
% conditions
% roc_curve - Function for plotting and calculating the area under an ROC curve.
%
% Utilities
% -------------------------------------
% backup - WINDOWS ONLY. Wrapper to the xcopy function for performing backup
% get_varargin - function for populating variables in a M-function
% changeFS - funcstion for changing the sampling frequency of a signal