📄 eigen_filtering.m
字号:
function [s,w,g] = eigen_filtering(y,p,mu);%EIGEN_FILTERING: 1D ARMA Prediction also called projection filter.% This function is used by function fx_arma.m,%% [s,w,g] = eigen_filtering(y,p,mu);%% IN y: input 1D data (a trace or a freq. slice in fx)% p: order of the arma(p,p) process% mu: pre-whitening in percent%% OUT s: clean output data% w: noise estimate% g: arma(p,p) operator (Pisarenko filter!)%%%%% Author(s): M.D.Sacchi (sacchi@phys.ualberta.ca)% Copyright 1988-2003 SeismicLab% Revision: 1.2 Date: Dec/2002 % % Signal Analysis and Imaging Group (SAIG)% Department of Physics, UofA%% N = length(y); Y = convmtx(y,p+1); R = Y'*Y/N; % data correlation matrix[g,Pw] = eigs(R,1,'SM'); % compute 1 eigenvalue (the SMallest) g0 = g(1) g = g/g0; e = Y*g; % non-white sequence e G = convmtx(g,N); % correlation matrix of the filter D = eye(N)*mu; % regularization term w = inv(G'*G+D)*G'*e; % estimate of the noise s = y-w; % estimate of the clean signal return
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -