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In this thesis, some high speed architectures for DFT computation are proposed which are suitable for VLSI system implementation. One type of DFT architectures are based on matrix representation of DFT and no fast Fourier transform algorithm is used. These architectures are derived from the concept of systolic array processors. They are regular, modular and pipelinable which are the basic requirements of VLSI system. The whole system throughput rate can achieve the pipeline rate of the composing arithmetic cells in the architecture. The other type of DFT architectures are realized using recently developed Winograd Fourier transform algorithm and prime factor algorithm. They require much less hardware than conventional FFT structures to compute a long length DFT and at the same time maintain satisfactory time performance. The comparison of some DFT architectures are made based on the criterions of hardware complexity, latency and throughput.
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