Architectural approach to alternate low-level primitive structures (ALPS) for acoustic signal processing

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Architectural approach to alternate low-level primitive structures (ALPS) for acoustic signal processing

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IEE Proceedings F (Communications, Radar and Signal Processing) — Recommend this title to your library

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© The Institution of Electrical Engineers
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The input/output relationship describing a given signal-processing application in its entirety can be partitioned into a set of primitive operations which may be represented using signal-processing graph notation (SPGN) as a network of interconnected processes. A set of alternate low-level primitive structures (ALPS) can be defined to implement the operations underpinning each node in this network. This SPGN/ALPS processor network is queue driven and message based, each queue consisting of a message header and an array of data. Current systems developments have demonstrated that a small, finite set of low-level primitives is sufficient for the synthesis of the majority of acoustic-processing problems, and the paper outlines the design approach for some of these. In particular, a prime-radix DFT algorithm, FIR and IIR filter structures using constrained filter coefficients and a general purpose array address mapping element are described. In addition, system architectures based on these SPGN/ALPS networks are developed.

Inspec keywords: acoustic signal processing; sonar; computerised signal processing

Other keywords: SPGN/ALPS processor network; IIR filter; sonar; queue driven; general purpose array address mapping element; prime-radix DFT algorithm; alternate low-level primitive structures; message based; system architectures; FIR filter; signal-processing graph notation; acoustic signal processing

Subjects: Communications computing; Signal processing and detection; Digital signal processing; Acoustic signal processing; Sonar and acoustic radar

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