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% Chapter 8: Example 8.13 % Impulse Invariance Transformation % Chebyshev-2 Lowpass Filter Design % % Digital Filter Specifications: wp = 0.2*pi; %

% Chapter 8: Example 8.29 % Elliptic Bandpass Filter Design: % Use of the ELLIP function % % Digital Filter Specifications: % Type: Elliptic Bandpass ws = [0.3*pi 0.75

% Chapter 8: Example 8.11 % Impulse Invariance Transformation % Butterworth Lowpass Filter Design % % Digital Filter Specifications: wp = 0.2*pi; %

% Chapter 8: Example 8.12 % Impulse Invariance Transformation % Chebyshev-1 Lowpass Filter Design % % Digital Filter Specifications: wp = 0.2*pi; %

% Chapter 8: Example 8.14 % Impulse Invariance Transformation % Elliptic Lowpass Filter Design % % Digital Filter Specifications: wp = 0.2*pi; % dig

% Chapter 8: Example 8.28 % Chebyshev-1 Highpass Filter Design: % Use of the CHEBY1 function % % Digital Filter Specifications: % Type: Chebyshev-I highpass ws = 0.458

function [db,mag,pha,grd,w] = freqz_m(b,a); % Modified version of freqz subroutine % ------------------------------------ % [db,mag,pha,grd,w] = freqz_m(b,a); % db = Relative magnitude in dB computed

function PI=main(s) % %2005.10.31 %load wtwo; tic; [dim,sample]=size(s); B=8000; N=sample/B; %A=rand(dim); %for p=2:80 for i=1:N u=s(:,(i-1)*B+1:i*B); x=rand(dim)*u; y=NoMax

function [y,PI] = new_nag() % %A natural gradient-based Algorithm for Blind Source Separation %copyright 2005.4.14 %author:lucky zhang %used to separate audio signal %usage:[y,PI]=based_neg(x)

function G=text() %author lucky zhang %2005.6.29 t=1:3000; s(1,:)=sqrt(2)*sin(2*pi*t/97); s(2,:)=0.2*square(2*pi*t/233); s(3,:)=0.2*sin(2*pi*t/103).*cos(2*pi*t/277); s(4,:)=sign(sin((2*pi*t/40)