Abstract
While linear prediction has been successfully applied to many topics in signal processing, linear interpolation has received little attention. This chapter gives some results on linear interpolation and shows that many well-known variables or equations can be formulated in terms of linear interpolation. Also, the so-called principle of orthogonality is generalized. From this theory, we then give a generalized least mean square algorithm and a generalized affine projection algorithm.
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© 2001 Springer-Verlag Berlin Heidelberg
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Benesty, J., Gänsler, T., Morgan, D.R., Sondhi, M.M., Gay, S.L. (2001). Linear Interpolation Applied to Adaptive Filtering. In: Advances in Network and Acoustic Echo Cancellation. Digital Signal Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04437-7_10
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DOI: https://doi.org/10.1007/978-3-662-04437-7_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07507-0
Online ISBN: 978-3-662-04437-7
eBook Packages: Springer Book Archive