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NOVEL DESIGN ALGORITHM FOR LOW COMPLEXITY PROGRAMMABLE FIR
FILTERS BASED ON EXTENDED DOUBLE BASE NUMBER SYSTEM
ABSTRACT
Coefficient multipliers are the stumbling blocks in programmable finite impulse response
(FIR) digital filters. As the filter coefficients change either dynamically or periodically, the
search for common sub-expressions for multi pliers less implementation needs to be performed
over the entire gamut of integers of the desired precision, and the amount of shifts associated
with each identified common sub-expression needs to be memorized. The complexity of a
quality search is thus beyond the existing design algorithms based on conventional binary and
signed digit representations. This paper presents a new design paradigm for the programmable
FIR filters by exploiting the extended double base number system (EDBNS). Due to its sparsity
and innate abstraction of the sum of binary shifted partial products, the sharing of adders in the
time-multiplexed multiple constant multiplication block of the programmable FIR filters can be
maximized by a direct mapping from the quasi-minimum EDBNS. The multiplexing cost can be
further reduced by merging double base terms. Logic synthesis results on more than one hundred
programmable filters with filter taps ranging from 10 to 100 and coefficient word lengths of 8,
12, and 16 bits show that the average logic complexity and critical path delay of the
programmable FIR filters designed by our proposed algorithm have been reduced by up to
47.81% and 14.32%, respectively over the existing design methods.

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Novel design algorithm for low complexity programmable fir filters based on extended double base number system

  • 1. NOVEL DESIGN ALGORITHM FOR LOW COMPLEXITY PROGRAMMABLE FIR FILTERS BASED ON EXTENDED DOUBLE BASE NUMBER SYSTEM ABSTRACT Coefficient multipliers are the stumbling blocks in programmable finite impulse response (FIR) digital filters. As the filter coefficients change either dynamically or periodically, the search for common sub-expressions for multi pliers less implementation needs to be performed over the entire gamut of integers of the desired precision, and the amount of shifts associated with each identified common sub-expression needs to be memorized. The complexity of a quality search is thus beyond the existing design algorithms based on conventional binary and signed digit representations. This paper presents a new design paradigm for the programmable FIR filters by exploiting the extended double base number system (EDBNS). Due to its sparsity and innate abstraction of the sum of binary shifted partial products, the sharing of adders in the time-multiplexed multiple constant multiplication block of the programmable FIR filters can be maximized by a direct mapping from the quasi-minimum EDBNS. The multiplexing cost can be further reduced by merging double base terms. Logic synthesis results on more than one hundred programmable filters with filter taps ranging from 10 to 100 and coefficient word lengths of 8, 12, and 16 bits show that the average logic complexity and critical path delay of the programmable FIR filters designed by our proposed algorithm have been reduced by up to 47.81% and 14.32%, respectively over the existing design methods.