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Design and Implementation of High-Performance RNS Wavelet Processors Using Custom IC Technologies
Authors:Javier Ramí  rez, Uwe Meyer-Bä  se, Fred Taylor, Antonio Garcí  a  Antonio Lloris
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
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.
Keywords:discrete wavelet transform  RNS arithmetic  custom integrated circuit  field-programmable logic devices
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