Design and implementation of an adaptive FIR filter based on delayed error LMS algorithm

Author

Lai, Yen-Tai ; Kao, Chi-Chou ; Chen, Hao-Jan

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

704

Lastpage

712

Abstract

Adaptive filtering techniques are widely used in the fields of signal processing and communication such as echo/noise cancellation and speech/image coding. Adaptive filters usually need real time ability to process signal. This paper presents a high speed and flexible VLSI architecture. This filter is the digital adaptive finite impulse response (FIR) filter based on the delayed error least mean square (DELMS) algorithm. The architecture has hardware utilization efficiency (HUE) of 100%, and we can easily scale the filter without reducing the throughput rate. The timing simulation results demonstrate the effectiveness of the architecture. We have used 0.6 μm CMOS SPTM standard cells technology to implement the chip

Keywords

CMOS integrated circuits; IIR filters; VLSI; adaptive filters; cellular arrays; digital filters; echo suppression; CMOS SPTM standard cells technology; VLSI architecture; adaptive FIR filter; delayed error LMS algorithm; echo cancellation; image coding; noise cancellation; real time ability; signal processing; timing simulation; Adaptive filters; Adaptive signal processing; Digital filters; Finite impulse response filter; Image coding; Noise cancellation; Signal processing; Speech coding; Speech enhancement; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Systems, 1999. SiPS 99. 1999 IEEE Workshop on

Conference_Location

Taipei

ISSN

1520-6130

Print_ISBN

0-7803-5650-0

Type

conf

DOI

10.1109/SIPS.1999.822378

Filename

822378