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Title: A threshold based variable step size least mean square algorithm for improved online secondary path modelling in active noise control systems
Researcher: Babu, P
Guide(s): Krishnan, A
Keywords: information and communication engineering
least mean square algorithm
noise control systems
Upload Date: 9-Sep-2014
University: Anna University
Completed Date: 01/03/2012
Abstract: This thesis is a study of active noise control ANC systems with newlinethe view point of adaptive signal processing The discussion is restricted to newlinethe singlechannel feed forward ANC systems A literature survey shows that newlinethe filteredx least mean squareFxLMS algorithm is the most popular newlineadaptive algorithm for ANC systems due mainly to its simplicity and robust newlineperformance However the convergence speed of the FxLMS algorithm is newlineslow Furthermore its performance is degraded when there is a large newlinemeasurement noise in the reference and error signals newlineTo solve these problems this thesis proposes an adaptive filtering newlinewith denoise based algorithm for ANC systems This algorithm uses a similar newlinestructure as that of the FxLMS algorithm based ANC systems In this thesis newlinetwo new methods have been proposed to achieve improved performance in newlineANC systems The first method proposed uses wavelet denoise concept in the newlinesecondary path newline newline
Pagination: xvi,133p.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File176.02 kBAdobe PDFView/Open
02_certificates.pdf2.71 MBAdobe PDFView/Open
03_abstract.pdf51.41 kBAdobe PDFView/Open
04_acknowledgement.pdf54.42 kBAdobe PDFView/Open
05_conents.pdf119.62 kBAdobe PDFView/Open
06_chapter 1.pdf147.57 kBAdobe PDFView/Open
07_chapter 2.pdf1.96 MBAdobe PDFView/Open
08_chapter 3.pdf1.95 MBAdobe PDFView/Open
09_chapter 4.pdf936.64 kBAdobe PDFView/Open
10_chapter 5.pdf63.03 kBAdobe PDFView/Open
11_references.pdf120.26 kBAdobe PDFView/Open
12_publications.pdf59.73 kBAdobe PDFView/Open
13_vitae.pdf48.63 kBAdobe PDFView/Open

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