Work

Entropy minimization based robust algorithm for adaptive networks

Year: 2012

Type: conference-paper

Abstract: In this paper, the problem of estimating the impulse responses of individual nodes in a network of nodes is dealt. It was shown by the previous work in literature that when the nodes can interact with each other, fusion based adaptive filtering approaches are more effective than handling nodes independently. Here we are proposing the use of entropy functional based optimization in the adaptive filtering stage. We tested the new method on networks under Gaussian and ε-contaminated Gaussian noise. The results show that the proposed method achieves significant improvements in the error rates in case of ε-contaminated noise.

Source: Signal Processing and Communications Applications Conference (SIU)

DOI: 10.1109/siu.2012.6204711

Authors: Kivanc Kose, A. Enis Cetin, Osman Gunay

Institution: Bilkent University

Language: English

Topic: Advanced Adaptive Filtering Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2007818075

FWCI:

Cites: 14

Cited by:

Related to: 10