Title :
Low-power digital filtering using approximate processing
Author :
Ludwig, Jeffrey T. ; Nawab, S. Hamid ; Chandrakasan, Anantha P.
Author_Institution :
Digital Signal Process. Group, MIT, Cambridge, MA, USA
fDate :
3/1/1996 12:00:00 AM
Abstract :
We present an algorithmic approach to the design of low-power frequency-selective digital filters based on the concepts of adaptive filtering and approximate processing. The proposed approach uses a feedback mechanism in conjunction with well-known implementation structures for finite impulse response (FIR) and infinite impulse response (IIR) digital filters. Our algorithm is designed to reduce the total switched capacitance by dynamically varying the filter order based on signal statistics. A factor of 10 reduction in power consumption over fixed-order filters is demonstrated for the filtering of speech signals
Keywords :
FIR filters; IIR filters; adaptive filters; circuit feedback; digital filters; filtering theory; FIR digital filters; IIR digital filters; adaptive filtering; algorithmic approach; approximate processing; feedback mechanism; finite impulse response; frequency-selective digital filters; infinite impulse response; low-power digital filtering; power consumption reduction; signal statistics; speech signal filtering; Adaptive filters; Algorithm design and analysis; Capacitance; Digital filters; Feedback; Filtering algorithms; Finite impulse response filter; Frequency; IIR filters; Signal design;
Journal_Title :
Solid-State Circuits, IEEE Journal of
