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A New State Estimation Method For A Quantized Stochastic Sound System Based On A Generalized Statistical Linearization

✍ Scribed by E. Uchino; M. Ohta; H. Takata

Publisher: Elsevier Science
Year: 1993
Tongue: English
Weight: 334 KB
Volume: 160
Category: Article
ISSN: 0022-460X
DOI: 10.1006/jsvi.1993.1017

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✦ Synopsis

This paper describes a new method of state estimation for a stochastic sound system when the observation system is non-linear and quantized. The method is based on a generalized statistical linearization technique, with use of the two-sided Laplace transform. The non-linear quantized observation system is linearized statistically by using the generalized statistical linearization technique, with the introduction of a new type of error criterion. The resulting linearized system can be obtained analytically by using the twosided Laplace transform. As a result, linear filtering theory can then be applied to the resulting linearized system. The validity and effectiveness of this method have been confirmed by using a computer simulation and by applying it to the problem of estimating a reverberation time from room acoustics quantized observation data.

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