Paper Info
Title
Improved Parallel Feedback Active Noise Control Using Linear Prediction For Adaptive Noise Decomposition
Abstract
This paper presents an improved Parallel Feedback Active noise control (PFANC) method with adaptive noise signal decomposition using NLMS based linear prediction. The proposed method is tested for several stationary periodic signals, quasi-periodic signals and non-stationary signals buried in Additive White Gaussian noise (AWGN) under different Signal to Noise Ratios (SNR). Performance improvement in terms of Noise Attenuation Levels (NAL) exceeding 40dB have been obtained and compared with previous methods. Proposed method has lower implementation cost, lower computational delay, better noise tracking capability and better NAL performance as compared to previous methods.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP)
Active Noise Control, Adaptive linear prediction, NLMS, Periodic signals, quasi-periodic signals
Field
DocType
ISSN
Value noise,Noise floor,Noise measurement,Noise (signal processing),Computer science,Control theory,Salt-and-pepper noise,Noise spectral density,Gaussian noise,Gradient noise
Conference
1520-6149
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Anshuman Ganguly112.10
Chandan K. Reddy280373.50
Issa M. S. Panahi34914.53