Recursive algorithms for AR spectral estimation and their array realizations

Author

Liu, Chi-Min ; Jen, Chein-Wei

Author_Institution

Inst. of Electron., Nat. Chiao Tung Univ., Taiwan

fYear

1990

fDate

5-7 Sep 1990

Firstpage

121

Lastpage

132

Abstract

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

Keywords

VLSI; digital signal processing chips; recursive functions; spectral analysis; systolic arrays; AR spectral estimation; VLSI arrays; array realizations; autoregressive spectral estimation; computational complexity; data locality; high computing parallelism; high processing speed; numerical properties; real-time applications; recursive algorithms; recursive computing algorithms; Algorithm design and analysis; Concurrent computing; Geophysical signal processing; Geophysics computing; Least squares methods; Parallel processing; Recursive estimation; Signal processing algorithms; Systolic arrays; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Application Specific Array Processors, 1990. Proceedings of the International Conference on

Conference_Location

Princeton, NJ

Print_ISBN

0-8186-9089-5

Type

conf

DOI

10.1109/ASAP.1990.145449

Filename

145449