Fast Fixed-Point Neural Blind-Deconvolution Algorithm  

Oleh:

Fiori, S.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 15 no. 2 (Mar. 2004), page 455-459.
Topik: algorithms; fast fixed - point; neural; blind - deconvolution; algorithm

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.10 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The aim of this letter is to introduce a new blind-deconvolution algorithm based on fixed - point optimization of a "Bussgang" - type cost function. The cost function relies on approximate Bayesian estimation achieved by an adaptive neuron. The main feature of the presented algorithm is fast convergence that guarantees good deconvolution performances with limited computational demand as compared with algorithms of the same class.

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