DocumentCode
2160427
Title
Least squares approximation and polyphase decomposition for pipelining recursive filters
Author
Gupta, Aditya ; Singer, Andrew ; Shanbhag, Naresh
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois, Urbana, IL, USA
fYear
2011
fDate
22-27 May 2011
Firstpage
1661
Lastpage
1664
Abstract
Current techniques used in pipelining recursive filters require significant hardware complexity. These techniques attempt to preserve the exact frequency response of the original circuit while seeking to construct a pipelined architecture. We present a technique that relaxes the need to preserve the ex act frequency response and instead considers a least-squares formulation in conjunction with the pipelined architecture. The benefit of this design is that it reduces the complexity of the pipelined circuit immensely, while enabling a simple pipelined architecture based on a polyphase decomposition of the original filter.
Keywords
computational complexity; frequency response; least squares approximations; pipeline processing; recursive filters; frequency response; hardware complexity; least square approximation; pipelined architecture; polyphase decomposition; recursive filter pipelining; Complexity theory; Computer architecture; Finite impulse response filter; Hardware; Least squares approximation; Pipeline processing; IIR; Prony´s method; pipelining;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5946818
Filename
5946818
Link To Document