Structure and Properties of Generalized Adaptive Neural Filters for Signal Enhancement  

Oleh:

Ansari, N. ; Zhang, Z.Z.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 7 no. 4 (1996), page 857-868.
Topik: FILTERS; structure; properties; adaptive neural filters; signal enhancement

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This article addresses the structure and properties of a new class of nonlinear adaptive filters called generalized adaptive neural filters (GANF s). Various properties, such as an upper bound of the mean absolute error of the filters, are analytically derived. Experimental results are presented to demonstrate the performance of the filters for signal and image enhancement. It is shown that GANFs not only extend the class of stack filters, but also have better performance in noise suppression.

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