25 March 1996 Signal quantization and the optimization of digital filters
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pertti T. Koivisto, Heikki Huttunen, Pauli Kuosmanen, Jaakko T. Astola, "Signal quantization and the optimization of digital filters", Proc. SPIE 2662, Nonlinear Image Processing VII, (25 March 1996); doi: 10.1117/12.235817; https://doi.org/10.1117/12.235817
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