新加坡南洋理工大学YU Yajun博士将于
Design of Linear Phase FIR Filters in Subexpression Spaces
Abstract: Multiplierless filtering is very attractive for low computational complexity and low power consumption design. The most advanced techniques in the design of multiplierless FIR filters explore the common subexpression sharing in the implementation of filter coefficients. Traditional techniques of the common subexpression sharing are constrained by a lower bound on the number of adders require for a given filter specification.
In this talk, two techniques are presented to reduce the lower bound such that the filter complexity is reduced. First, a concept of subexpresion space is introduced. An algorithm to optimize the filter coefficients directly in subexpression spaces is proposed. Secondly, the lower bound could also be reduced by a novel filter structure. A residue compensation extrapolated filter structure is presented to synthesize the filter coefficients with reduced complexity. Numerical examples of benchmark filters show that the required number of adders obtained using the proposed techniques are much less than those obtained using traditional approaches.
Biography: Yu Yajun received both the B.Sc. and M.Eng. degrees in Biomedical Engineering from Zhejiang University, Hangzhou, China, in 1994 and 1997, respectively, and the Ph.D. degree in Electrical and Computer Engineering from the National University of Singapore, Singapore, in 2004.
From 1997 to 1998, she was a Teaching Assistant with