Title :
Structure adaptation of linear MMSE adaptive filters
Author :
Gong, Y. ; Cowan, C.F.N.
Author_Institution :
Dept. of Electr. & Electron. Eng., Queen´´s Univ. of Belfast, UK
Abstract :
The tap-length, or the number of the taps, is an important structural parameter of the linear MMSE adaptive filter. Although the optimum tap-length that balances performance and complexity varies with scenarios, most current adaptive filters fix the tap-length at some compromise value, making them inefficient to implement especially in time-varying scenarios. A novel gradient search based variable tap-length algorithm is proposed, using the concept of the pseudo-fractional tap-length, and it is shown that the new algorithm can converge to the optimum tap-length in the mean. Results of computer simulations are also provided to verify the analysis.
Keywords :
FIR filters; adaptive filters; computational complexity; filtering theory; gradient methods; least mean squares methods; signal processing; FIR filters; gradient search; linear MMSE adaptive filters; structure adaptation; variable tap-length algorithm;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20040605