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Low Power Digital Filtering Using Adaptive Approximate Processing: IIR Filter Structures

Jeffrey Ludwig
Techniques for reducing power consumption in digital circuits have become increasingly important because of the growing demand for portable multimedia devices. Digital filters, being ubiquitous in such devices, are a prime candidate for low power design. Algorithmic approaches to low power frequency selective digital filtering which is based on the concepts of adaptive approximate processing have been developed and formalized by introducing the class of approximate filtering algorithms in which the order of a digital filter is dynamically varied to provide time-varying stop band attenuation in proportion to the time-varying signal-to-noise ratio (SNR) of the input signal, while maintaining a fixed SNR at the filter output. Since power consumption in digital filter implementations is proportional to the order of the filter, dynamically varying the filter order is a strategy which may be used to conserve power. In this paper we introduce a class of approximate filter structures using IIR digital filter constituent elements. These filter structures are explored and shown to be an important element in the characterization of approximate filtering algorithms.
Select Volume / Issues:
Year:
2021
Type of Publication:
Article
Keywords:
Low Power Signal Processing; Adaptive Filtering; Approximate Signal Processing; Speech Signal Processing; Frequency-Selective Digital Filtering
Journal:
IJECCE
Volume:
12
Number:
4
Pages:
94-112
Month:
July
ISSN:
2249-071X
Hits: 40

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