Design and Implementation of High-Performance RNS Wavelet Processors Using Custom IC Technologies |
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Authors: | Javier Ramí rez, Uwe Meyer-Bä se, Fred Taylor, Antonio Garcí a Antonio Lloris |
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Affiliation: | (1) Department of Electronics and Computer Technology, University of Granada, Spain;(2) Department of Electrical and Computer Engineering, Florida State University, Tallahassee, FL 32310-6046, USA;(3) High-Speed Digital Architecture Laboratory, University of Florida, Gainesville, FL 32611-6130, USA |
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Abstract: | The design of high performance, high precision, real-time digital signal processing (DSP) systems, such as those associated with wavelet signal processing, is a challenging problem. This paper reports on the innovative use of the residue number system (RNS) for implementing high-end wavelet filter banks. The disclosed system uses an enhanced index-transformation defined over Galois fields to efficiently support different wavelet filter instantiations without adding any extra cost or additional look-up tables (LUT). A selection of a small wordwidth modulus set are the keys for attaining low-complexity and high-throughput. An exhaustive comparison against existing two's complement (2C) designs for different custom IC technologies was carried out. Results reveal a performance improvement of up to 100% for high-precision RNS-based systems. These structures demonstrated to be well suited for field programmable logic (FPL) assimilation as well as for CBIC (cell-based integrated circuit) technologies. |
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Keywords: | discrete wavelet transform RNS arithmetic custom integrated circuit field-programmable logic devices |
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