Recursive algorithms for AR spectral estimation and their array realizations

Autoregressive (AR) spectral estimation is widely used in various fields. However, a trade-off between performance and computational complexity is sometimes faced. Two recursive computing algorithms individually applied to the wide-sense stationary and highly nonstationary environments are presented. These algorithms have good numerical properties, high computing parallelism, and data locality. VLSI arrays are designed to realize the algorithms. The algorithms and arrays provide the potential of attaining high processing speed and good performance in real-time applications