Parameter estimation of locally stationary wavelet processes

Arthur Johnson III; Ching-Chung Li

doi:10.1117/12.505549

13 November 2003 Parameter estimation of locally stationary wavelet processes

Arthur Johnson III, Ching-Chung Li

Proceedings Volume 5207, Wavelets: Applications in Signal and Image Processing X; (2003) https://doi.org/10.1117/12.505549
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

This paper considers the extraction of information from a locally stationary process modelled by wavelet packets. A method is presented to select subprocesses that characterize the key aspects of the nonstationary process for pattern analysis. The estimated parameters of the selected subprocesses are used to infer the process' time varying behavior. The estimated parameters can be used as features in the attempt to distinguish changing states within a process or differentiate two different locally stationary processes.

Citation Download Citation

Arthur Johnson III and Ching-Chung Li "Parameter estimation of locally stationary wavelet processes", Proc. SPIE 5207, Wavelets: Applications in Signal and Image Processing X, (13 November 2003); https://doi.org/10.1117/12.505549

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