| Author(s) | Mohammed AlOqeely and Abdullah Al-Shoshan |
| Affiliation | Dept. of Computer Engineering, College of Computer & Information Sciences King Saud University, P.O. Box 51178 Riyadh 11543, Saudi Arabia |
| Title | A Systolic Array Architecture for Computing Time-varying Higher-order Cumulants |
| Source | Journal of King Saud University. Computer & Information Sciences. Volume 16, No 1. (2004/1424) |
| Abstract | For non-stationary processes, the conventional power spectrum does not reflect the time variation of the process characteristics. Higher-order cumulants or bispectrum has been applied in the analysis of non-minimum phase linear, time-invariant (LTI) systems under stationarity assumptions and restricting the signal to have non-symmetric distribution. It is clearly of interest to examine what type of analysis is available for those cases where the assumption of stationarity becomes untrue or unrealistic. In many practical applications such as seismic surveying, detection, system identification, sonar, communications, speech, and medical instrumentation, the signal analysts are faced with the task of processing signals whose spectral characteristics are time-dependent [1] and [2]. In this paper, a simple hardware architecture for computing the time-varying cumulants of non-stationary signals is proposed using systolic arrays. |
