Waveform coding for low-power digital filtering of speech data

• Published in: IEEE transactions on signal processing Vol. 51; no. 6; pp. 1656 - 1661
• Main Authors: Wassner, J., Kaeslin, H., Felber, N., Fichtner, W.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.06.2003; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Coding; Digital; Digital filters; Digital signal processing; Encoding; Exact sciences and technology; Filtering; Filtration; Finite impulse response filter; Guidelines; Information, signal and communications theory; Phase change materials; Quantization; Signal processing; Speech; Speech analysis; Speech coding; Speech processing; Telecommunications and information theory; Waveforms; Performance evaluation; Digital filtering; VLSI circuit; Speech coding; Finite impulse response filter; low-power VLSI; Low power; Pulse code modulation; Speech processing; FIR
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2003.811233

This paper evaluates waveform coding techniques known from low bit-rate communication for their usefulness in low-power digital FIR filtering of speech signals. The encodings considered include linear PCM, PCM with adaptive and logarithmic quantization, and differential PCM, combined with two's-complement and sign-magnitude number representation. Selected implementation aspects for each alternative are discussed. Experimental results are presented to quantify potential power savings subject to statistical signal properties and operating conditions. Guidelines for the choice of encoding in application-specific digital signal processing of speech data are provided.