Abstract
This chapter presents a computationally efficient technique for adaptive filtering of N-dimensional signals. The approach is based on the local signal description given by the orientation tensor discussed in chapter 6. The adaptive filter is synthesized as a tensor-controlled weighted summation of shift-invariant filters.
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© 1995 Springer Science+Business Media Dordrecht
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Granlund, G.H., Knutsson, H. (1995). Adaptive Filtering. In: Signal Processing for Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2377-9_10
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DOI: https://doi.org/10.1007/978-1-4757-2377-9_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5151-9
Online ISBN: 978-1-4757-2377-9
eBook Packages: Springer Book Archive