14 November 1989 State Space Model-Based Parameter Estimation Methods And Some Applicatons
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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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bhaskar D. Rao, 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); doi: 10.1117/12.962282; https://doi.org/10.1117/12.962282


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