Abstract
Fourth-order cross moments are used in modern digital signal processing as a powerful analytical tool for the synthesis and analysis of signals and systems. Computing fourth-order cross moments from incoming time-series data is computationally intensive process and requires fast computing systems and parallel processing techniques to meet the real time processing requirement. An algorithm based on matrix-matrix product formulation is adopted in this paper. 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-II Pro FPGA chip. FPGA implementation results are presented. The proposed design operates at a maximum frequency of 101.812 MHz.