Unified eigenfilter approach: With applications to spectral/spatial filtering
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Abstract
In this paper, we extend the eigenfilter approach to solve general least-squares approximation problems with linear constraints. Such extension unifies previous work in eigenfilters and many other filter design problems, including spectral/spatial filtering, one-dimensional or multidimensional filters, data independent or statistically optimal filtering, etc. With this approach, various filter design problems are transformed into problems of finding an eigenvector of a positive definite matrix that is determined by filter design specifications. This approach has the advantage that many filter design constraints can be incorporated easily. A number of design examples are presented to show the usefulness and flexibility of the proposed approach.
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Proceedings - IEEE International Symposium on Circuits and Systems
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Publ by IEEE, Piscataway, NJ, United States
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Date
1993
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Conference Paper