Special Issue Article
Highly Efficient Design of Pipelined Parallel FFT Using Folding Transformation
Serin Sera Paul1, Simy M Baby2
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This paper presents a new parallel pipelined architecture to compute Discrete Fourier Transform (DFT) using FFT architecture. This particular architecture uses folding transformation technique as well as register minimization technique for the design of FFT architecture. Novel architectures for the computation of complex and real valued fast Fourier transform are derived. Pipelining is used to reduce the power consumption. Parallel processing and pipelining exploits concurrency. Parallel processing also aids to the reduction of power consumption by reducing the supply voltage. The power consumption is reduced very effectively using the parallel architecture. This paper includes the comparative study of the speed of operation of FFT architectures using different multipliers.