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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946818