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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Feb 2018
Next issue: May 2018
Avg review time: 107 days


Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
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Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

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  2/2007 - 2

Simulation of Noise-Cancelling in the Cockpit of an Aircraft Using Two-Rate Hybrid Neural Network

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Download PDF pdficon (692 KB) | Citation | Downloads: 760 | Views: 2,055

Author keywords
multi-rate, neural networks, noisy speech, pattern recognition, simulation

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About this article
Date of Publication: 2007-11-03
Volume 7, Issue 2, Year 2007, On page(s): 7 - 10
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2007.02002
Web of Science Accession Number: 000259903400002

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This paper presents the two-rate hybrid neural network (TRHNN) for processing of noisy signal. The received TRHNN consists of /fast/ ADAptive LInear NEuron neural network (FADALINENN) and /slow/ radial basis neural network (SRBNN). The illustrative design example - noise-cancelling of noisy pilot's voice pattern - was carried out using the TRHNN. The received TRHNN has high speed of signal processing. This example demonstrates that the proposed TRHNN is capable not only to recognize the pilot's voice in the noisy voice pattern, but also to restore the pilot's voice. The simulation results with use the software package Simulink show the computing procedure and applicability of the TRHNNs for fast-acting signal processing and analysis in real-time flight conditions.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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