State Space Model-Based Parameter Estimation Methods And Some Applicatons

Bhaskar D. Rao

doi:10.1117/12.962282

14 November 1989 State Space Model-Based Parameter Estimation Methods And Some Applicatons

Bhaskar D. Rao

Proceedings Volume 1152, Advanced Algorithms and Architectures for Signal Processing IV; (1989) https://doi.org/10.1117/12.962282
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

Abstract

This paper reviews state space model-based methods for signal processing applications. A state space frame-work is shown to provide a convenient tool for exposing and exploiting structure inherent in many model based methods. It is also shown that there exist state space methods which are robust to noise in data, and to numerical errors. From a computational point of view, the methods are often less complex than existing competing methods. Futhermore they only involve matrix operations which are suitable for systolic/wavefront implementation.

Citation Download Citation

Bhaskar D. Rao "State Space Model-Based Parameter Estimation Methods And Some Applicatons", Proc. SPIE 1152, Advanced Algorithms and Architectures for Signal Processing IV, (14 November 1989); https://doi.org/10.1117/12.962282

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