2003
DOI: 10.1049/el:20030892
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Area-efficient FPGA-based FFT processor

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Cited by 20 publications
(12 citation statements)
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“…Further work has been done in implementing FFT cores for FPGAs [8], [10], [11], [3], [9] which can be scaled according to user-specified parameters, including the well regarded Spiral Project [9]. Beyond the radix 2 and 4 Cooley-Tukey seen in the Xilinx implementation, Pease and Fast Hartley Transforms have been implemented in order to achieve a specific tradeoff with regards to performance and resource utilisation [11], [8].…”
Section: Latency-resource Trading Fft Implementations On the Fpgamentioning
confidence: 99%
See 1 more Smart Citation
“…Further work has been done in implementing FFT cores for FPGAs [8], [10], [11], [3], [9] which can be scaled according to user-specified parameters, including the well regarded Spiral Project [9]. Beyond the radix 2 and 4 Cooley-Tukey seen in the Xilinx implementation, Pease and Fast Hartley Transforms have been implemented in order to achieve a specific tradeoff with regards to performance and resource utilisation [11], [8].…”
Section: Latency-resource Trading Fft Implementations On the Fpgamentioning
confidence: 99%
“…Another important feature of the previous work has been to identify strategies for implementations that may be scaled according to the needs of the end-user [8], [10], [3], [9]. It was also shown that making use of a higher level description language allowed for quicker development and prototyping of user-defined, yet optimised cores [11].…”
Section: Latency-resource Trading Fft Implementations On the Fpgamentioning
confidence: 99%
“…A recent work [17] describes an area-efficient architecture based on the use of a CORDIC operator [18] to perform the rotations, as we do in our work, but it does not target parallel implementations. A closer approach is the one presented in [19], but no comparison to other architectures is provided.…”
Section: Related Workmentioning
confidence: 99%
“…In the first algorithm implementation, we instantiate an array of 16 independent MACs (maximum number for available FPGA resources) and propagate the data through the array as shown in Figure 5.1 [9]. We explicitly encoded 16 MACs and the SRC compiler was allowed to implement the 16 MACs.…”
Section: Matrix-matrix Kernel Implementationmentioning
confidence: 99%
“…PSTSWM relies heavily on FFTs and thus computing these FFTs utilizing FPGA hardware is expected to provide significant performance advantages based on positive results with FFTs on FPGAs in real-time and DSP applications [8][9][10][11][12].…”
Section: Climate Modeling Kernel Implementationmentioning
confidence: 99%