Title :
New orthogonalised IIR adaptive filter
Author :
Perez, Hector ; Tsujii, S.
Author_Institution :
Tokyo Inst. of Technol.
fDate :
12/8/1988 12:00:00 AM
Abstract :
A new IIR-ADF algorithm is proposed in which the discrete cosine transform, a fairly good approach of KLT for a large number of signal classes, is used to split the input signal into a set of nearly orthogonal transform coefficients. Subsequently these coefficients are filtered by a bank of IIR-ADFs whose coefficients are independently updated to minimise a common error. Computer simulations show that the proposed algorithm provides a faster convergence rate than the Gauss-Newton algorithm with a much reduced computational load
Keywords :
adaptive filters; convergence; digital filters; DCT; IIR-ADF algorithm; adaptive digital filter; convergence rate; discrete cosine transform; filter bank; orthogonal transform coefficients; orthogonalised IIR adaptive filter;
Journal_Title :
Electronics Letters