alexa Abstract | Power and Area Minimization of Reconfigurable FFT Processor using Distributed Arithmetic
ISSN: 2319-9873

Research & Reviews: Journal of Engineering and Technology
Open Access

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Research Article Open Access


Fast Fourier transforms is one of the most important frequency analysis in signal processing. It has different application such as image processing, medical field, communication system, spectral analysis etc. Butterfly is the basic elements of FFT. In this work a Distributed arithmetic technique is used to implement the butterfly module. Distributed arithmetic is Multiplierless technique resulted more efficient butterfly element both in terms of power and area. Butterfly element is the most important building block of Reconfigurable FFT processor. Single precision is used to represent the data. IEEE 754 standard is used to represent the floating point numbers.

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Author(s): Anuradha M, Vishal R


Digital signal processing (DSP), Complex multiplier, Distributed Arithmetic, FFTs, Aeronautics, Telecommunications, Metallurgy, Medical Electronics, Mechanical engineering, Mathematics and Statistics, Industrial Production,Environmental Engineering, Engineering Physics, Engineering Aspects Associated With Biotechnology, Electronics, Electrical engineering, Earth and Atmospheric Sciences, Computer Science and Information Technology, Civil and Architecture Engineering, Chemical Engineering, Biomedical Engineering, Bioinformatics, Textile and Polymer Engineering

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