Title :
IIR adaptive filtering via discrete Legendre functions
Author :
Perez, Hector ; Tsujii, S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokyo Inst. of Technol.
fDate :
4/14/1988 12:00:00 AM
Abstract :
A new IIR adaptive filter structure is proposed. It is based on modelling the impulse response of the system to be identified as a linear combination of a set of discrete orthogonal functions. Computer simulations show that the proposed structure has better convergence performance than FIR transversal filters, when they are required to identify systems with long impulse response. The comparison is made on the basis that both of them have the same number of multipliers
Keywords :
convergence of numerical methods; digital filters; filtering and prediction theory; signal processing; IIR adaptive filtering; convergence; discrete Legendre functions; identify systems with long impulse response; set of discrete orthogonal functions;
Journal_Title :
Electronics Letters