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Computation of correlation and cumulant 4 under FPGA architecture

Lamyae Maatougui 1, 2 Laila Sakkila Rahmad Sadli 1, 2 Atika Rivenq 1, 2 
1 COMNUM - IEMN - COMmunications NUMériques - IEMN
IEMN-DOAE - Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520
Abstract : Higher Order Statistics are used in digital signal processing as a powerful analytical tool for the analysis of signals and systems. These statistics are very useful in problems where either non-Gaussianity or non-minimum phase. The computation of the fourth-order cross moments from incoming time-series data is an intensive process and requires parallel processing techniques and fast computing systems in order to follow the requirements of real-time processing. This paper presents an FPGA based design for high-speed computation of fourth-order cross moments. The proposed design is coded in VHDL and functionally verified by implementing it on Xilinx Virtex-5 FPGA. Simulations results are presented. The proposed design operates at a maximum frequency of 375 MHz.
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Submitted on : Tuesday, November 8, 2022 - 1:52:22 PM
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  • HAL Id : hal-03843855, version 1


Lamyae Maatougui, Laila Sakkila, Rahmad Sadli, Atika Rivenq. Computation of correlation and cumulant 4 under FPGA architecture. International Journal of Engineering and Technical Research, 2016, 5 (3), pp.86-90. ⟨hal-03843855⟩



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