New Delay Less Sub Band Adaptive Filtering Algorithm for Active Noise Control Systems

New Delay Less Sub Band Adaptive Filtering Algorithm for Active Noise Control Systems

HOD ECE JITS

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B.Satish Chandra

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S.China Venkateswarlu

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D.Ravi Kiran Babu

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K.Arun Kumar

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Jawaharlal Nehru Technological University, Hyderabad

Adama Science and Technology University

New Delay Less Sub Band Adaptive Filtering Algorithm for Active Noise Control Systems

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Abstract

The delay less SAF scheme in an ANC system involves the decomposition of input noise (i.e., the reference signal) and error signals into sub bands using analysis filter banks, and combining the sub band weights into a full-band noise canceling filter by a synthesis filter bank called weight stacking. Typically, a linear-phase finite-impulse response (FIR) low-pass filter (i.e., prototype filter) is designed and modulated for the design of such filter banks. The filter must be designed so that the side-lobe effect and spectral leakage are minimized. The delay in filter bank is reduced by prototype filter design and the side-lobe distortion is compensated for by oversampling and appropriate stacking of sub band weights. Experimental results show the improvement of performance and computational complexity of the proposed method in comparison to two commonly used sub band and block adaptive filtering algorithms.

References

19 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

HOD ECE JITS. 2014. \u201cNew Delay Less Sub Band Adaptive Filtering Algorithm for Active Noise Control Systems\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 14 (GJRE Volume 14 Issue F1).

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GJRE Volume 14 Issue F1

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

DFT dolph- linear-phase finite-impulse response SAF sub band adaptive filtering UDFM

Submission ReceivedDecember 11, 2013
Peer Review Double Blind
Handling Editor
Accepted January 3, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

March 8, 2014

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Article Matrices

Total Score: 104

Country: India

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: B.Satish Chandra, S.China Venkateswarlu , D.Ravi Kiran Babu, K.Arun Kumar (PhD/Dr. count: 0)

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Total Views: 4880

Total Downloads: 2473

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