📄 arfilter.m
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% Title: AR filter in accordance of a power spectrum
% Author: Lilei
% Data: 2008.6.2
% Description: Input: the power spectrum (Spectrum),
% the variance of the white noise( Var )
% the order of the AR filter(Order)
% Output: the AR filter coefficients(a)
% Change:
% Addition:
function [ aa ] = ARFilter( Spectrum , Var , Order )
R = real( ifft( Spectrum ) );
figure;
plot(R);
xlim([1 200]);
%%%%%% compute the AR model coefficient %%%%%%%%%%
a_former = zeros( 1 , Order );
a_latter = zeros( 1 , Order );
var_former = 0.0;
var_latter = 0.0;
a_latter( 1 , 1 ) = - R( 1 , 2 ) / R( 1 , 1 );
var_latter = ( 1 - ( abs( a_latter( 1 , 1 ) ))^2) * R( 1 , 1 );
for( m = 2 : Order )
var_former = var_latter;
a_former = a_latter;
k = 1 : m - 1;
a_latter( 1 , m ) = - ( sum ( a_former( 1 , k ) .* R( m - k + 1 ) ) + R( m + 1 ) ) / var_former;
a_latter( 1 , k ) = a_former( 1 , k ) + a_latter( 1 , m ) .* a_former( 1 , m - k );
var_latter = var_former * ( 1 - (abs(a_latter( 1 , m )))^2);
plot( m , var_latter , 'r*' );
hold on;
end
aa = a_latter;
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