Least-Squares Approximation and Polyphase Decomposition for Pipelining Recursive filters

Current techniques used in pipelining recursive filters require high 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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Gupta, Aditya

Contributors dc:contributor

• Singer, Andrew C.

• Prony's Method
• Polyphase decomposition
• In nite-length impulse response (IIR) approximation

Statement dc:rights

• Copyright 2010 Aditya Gupta

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/18444

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/18444