NDLI: Implementations of arbitrarily fast adaptive lattice filters with multiple slow processing elements

Content Provider	IEEE Xplore Digital Library
Author	Meng, T. Messerschmitt, D.
Copyright Year	1986
Description	Author affiliation: University of California, Berkeley, CA, USA (Meng, T.)
Abstract	This paper describes systolic realizations of adaptive lattice filters with arbitrarily high sampling rates using relatively slow processing elements. The lattice filter is a desirable structure for this purpose because it can adapt coefficients within each stage using the residual errors from the previous stage and the adaptation algorithms at each stage can be modelled as time-varying linear systems. The properties of independence among stages and linear state-updates make adaptive lattice filters suitable for implementations with arbitrary levels of concurrency. The architecture introduced can be called the vectorized adaptive lattice filter with parallel input and output. It has the property that an arbitrarily high sampling rate can be achieved at the expense of latency. An example of vectorized adaptive lattice filters, the implementation of a normalized prewindowed least-squares lattice predictor, is illustrated, and its latency and complexity are discussed.
Starting Page	1153
Ending Page	1156
File Size	161985
Page Count	4
File Format	PDF
DOI	10.1109/ICASSP.1986.1168832
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1986-04-07
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lattices Adaptive filters Sampling methods Transversal filters Nonlinear filters Concurrent computing Delay Hardware Time varying systems Linear systems
Content Type	Text
Resource Type	Article

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