Active Noise Control Using Intrinsic Mode Function Technique

Author

Narang, Neha ; Sharma, Manoj K. ; Vig, Renu

Author_Institution

Inst. of Eng. & Technol., Panjab Univ., Chandigarh, India

fYear

2013

fDate

27-29 Sept. 2013

Firstpage

210

Lastpage

214

Abstract

Active noise control accuracy depends on how much destructive interference exists between the primary noise and the noise (anti noise) generated by secondary source. In this paper firstly multilayer perceptron (MLP) neural network is designed and trained with extracted features of noise signals for classification and then Empirical Mode Decomposition (EMD) is used for active noise control. The noise signals of m109 tank and F16 cockpit are selected from SPIB database. The results of simulation show that the EMD technique is capable of suppressing the non linear and non stationary noise signals. The EMD technique has performed well in noise attenuation.

Keywords

Hilbert transforms; active noise control; multilayer perceptrons; signal classification; EMD; F16 cockpit; MLP neural network; SPIB database; active noise control; empirical mode decomposition; intrinsic mode function technique; m109 tank; multilayer perceptron neural network; Attenuation; Biological neural networks; Control systems; Neurons; Noise; Transforms; Active Noise Control (ANC); Empirical Mode Decomposition (EMD); Intrinsic Mode Functions (IMF); Multilayer Perceptron Neural Network (MLP);

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Communication Networks (CICN), 2013 5th International Conference on

Conference_Location

Mathura

Type

conf

DOI

10.1109/CICN.2013.52

Filename

6657985