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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 1530-1534
J. Juni , Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
R.W. Stewart , Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
ABSTRACT
Using oversampled sigma-delta (/spl Sigma/-/spl Delta/) techniques a signal can be represented as a single bit binary data stream ({-1, 1}), with the quantization noise high pass filtered out of baseband. In this paper adaptive LMS digital filters are presented that directly use binary /spl Sigma/-/spl Delta/ input streams and update the PCM adaptive filter weights at the oversampled rate to realize architectures that are very suitable for mixed analog/digital VLSI implementation. Using the /spl Sigma/-/spl Delta/ adaptive architecture PCM values are multiplied by single bits, and can therefore be easily performed by a simple multiplexor. Also using the /spl Sigma/-/spl Delta/ approach, the decimation and interpolation stages required for converting from /spl Sigma/-/spl Delta/ to PCM (and vice-versa) suitable for Nyquist DSP algorithms are circumvented. The paper describes the sigma delta adaptive LMS filter architecture and presents preliminary results for adaptive echo cancellation using adaptive sigma delta and standard PCM architectures.<>
INDEX TERMS
adaptive signal processing, adaptive filters, sigma-delta modulation, pulse code modulation, signal sampling, quantisation (signal), least mean squares methods, echo suppression, FIR filters
CITATION

J. Juni and R. Stewart, "Adaptive signal processing algorithms using sigma delta architectures," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1530-1534.
doi:10.1109/ACSSC.1994.471714
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