Signal quantization and the optimization of digital filters

Pertti T. Koivisto; Heikki Huttunen; Pauli Kuosmanen; Jaakko T. Astola

doi:10.1117/12.235817

25 March 1996 Signal quantization and the optimization of digital filters

Pertti T. Koivisto, Heikki Huttunen, Pauli Kuosmanen, Jaakko T. Astola

Proceedings Volume 2662, Nonlinear Image Processing VII; (1996) https://doi.org/10.1117/12.235817
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

Filters can be designed using a pair of training signals, a desired one and a corrupted one, by finding from a filter class the filter that maps the corrupted training signal closest to the desired signal. This paper addresses the effect that the wordlength used in the training signals has on the applicability of the found optimal filters to other signals with different wordlength. The study is done by concentrating on three filter classes that are shown to reveal different aspects of the topic in hand.

Citation Download Citation

Pertti T. Koivisto, Heikki Huttunen, Pauli Kuosmanen, and Jaakko T. Astola "Signal quantization and the optimization of digital filters", Proc. SPIE 2662, Nonlinear Image Processing VII, (25 March 1996); https://doi.org/10.1117/12.235817

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