@inproceedings{0e4dbfe85e374ca48e78af908627d932,
title = "Least squares approximation and polyphase decomposition for pipelining recursive filters",
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 exact 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 = "IIR, Prony's method, pipelining",
author = "Aditya Gupta and Andrew Singer and Naresh Shanbhag",
year = "2011",
doi = "10.1109/ICASSP.2011.5946818",
language = "English (US)",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "1661--1664",
booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",
note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",
}