1995
DOI: 10.1007/3-540-60294-1_121
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Implementation of Fast Fourier Transforms and Discrete Cosine Transforms in FPGAs

Abstract: Abstract. Fast Fourier Transform (FFT) and Discrete Cosine Transform (DCT) processors are designed and implemented using a Xilinx Field Programmable Gate Array (FPGA) device XC 4010. This device allows a 16-point FFF/DCT processor implementation. To design the CLB-efficient FFWDCT processor in FPGAs, a pipelined bit-serial architecture with bit-parallel input data format is employed. These processors operate with a 20 MHz bit-clock and 16-bit system word length, and compute an entire 16-point DFF/DCT transform… Show more

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Cited by 10 publications
(6 citation statements)
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“…We will therefore call all algorithms that do not use a multidimensional index map, DFT algorithms, although some of them, such as the Winograd DFT algorithms, enjoy an essentially reduced computational effort. FFTs have also been developed using FPGAs for 1-D [155,156,157] and 2-D transforms [47,158]. FFTs have also been developed using FPGAs for 1-D [155,156,157] and 2-D transforms [47,158].…”
Section: Fourier Transformsmentioning
confidence: 99%
“…We will therefore call all algorithms that do not use a multidimensional index map, DFT algorithms, although some of them, such as the Winograd DFT algorithms, enjoy an essentially reduced computational effort. FFTs have also been developed using FPGAs for 1-D [155,156,157] and 2-D transforms [47,158]. FFTs have also been developed using FPGAs for 1-D [155,156,157] and 2-D transforms [47,158].…”
Section: Fourier Transformsmentioning
confidence: 99%
“…Each model consists of 16 randomly generated feature points in 2 dimensions. This results in a hash table having 4 x 2 20 entries. These feature points were generated according to a Gaussian distribution with zero mean and unit standard deviation as in [16,18].…”
Section: Implementation Details and Performance Estimatementioning
confidence: 99%
“…Based on a control bit pattern the switch performs rotate-shift on the input bit pattern. It has been proved that that the REBSIS model is more powerful than several word models [20] but the Bit Model [13] of reconfigurable mesh has been shown to be able to simulate the REBSIS model using the same area.…”
Section: Related Models • Rebsismentioning
confidence: 99%
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