Manolakos The main goal of this project is the design and evaluation of VLSI architectures for the efficient estimation of Higher Order Statistics (HOS) from time-series data. In addition parallel algorithms to speed-up off-line HOS-based data analysis and modeling in parallel processing systems are being developed. Simulations are being performed on a Transputer-based multiprocessor for validation purposes and proof-of-concept prototypes will be designed using hardware description languages for performance/area estimation. As a by-product of this research, public domain parallel processing software will be provided on various platforms (CM, Transputers, Monsoon dynamic data-flow) to allow scientists who are not experts in signal processing to experiment with the powerful HOS-based techniques in the analysis and modeling of large amounts of statistical data.
