Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/452510
Title: Research on partitioned block frequency domain adaptive filter approach for acoustic echo cancellation systems
Researcher: Gopalaiah
Guide(s): K Suresh
Keywords: Engineering
Engineering and Technology
University: Visvesvaraya Technological University, Belagavi
Completed Date: 2018
Abstract: This work deals with the development or cancellations of echo in complex scenario. Essentially. the new methods and techniques make changes in the conventional sequential pnrtuion sigunl improvements for adaptive filter operations. Furthermore, this type of time segmentation, IIl10ws step by step coefficient updating stages relating to different methods.The adaptive filter acoustic echo reduction algorithms (AERA) is proposed in this work. The MAT LAB simulation results indicate good tracking capability, high value of echo return loss enhancement (ERLE) value. reasonable convergence time, rate and speed, small misadjustment. Meanwhile. the acoustic echo cancellation based on frequency domain methods has fast processing and convergence rime compared to time domain Normalized least means square fNLMS) and Variable step size normalized least means square (VSS-NLMS)methods.
Pagination: 
URI: http://hdl.handle.net/10603/452510
Appears in Departments:Dayananda Sagar College of Engineering

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01_title.pdfAttached File52.81 kBAdobe PDFView/Open
02_preliminary pages.pdf296.85 kBAdobe PDFView/Open
03_abstract.pdf142.33 kBAdobe PDFView/Open
04_table of contents.pdf257.28 kBAdobe PDFView/Open
05 _list of abbreviations & symbols.pdf151.01 kBAdobe PDFView/Open
06 _list of figures.pdf149.69 kBAdobe PDFView/Open
07 _list of tables.pdf24.51 kBAdobe PDFView/Open
08_chapter 1.pdf942.38 kBAdobe PDFView/Open
09_chapter 2.pdf1.35 MBAdobe PDFView/Open
10_chapter 3.pdf1 MBAdobe PDFView/Open
11_chapter 4.pdf2.73 MBAdobe PDFView/Open
12_chapter 5.pdf2.21 MBAdobe PDFView/Open
14_bibliography & publications.pdf867.19 kBAdobe PDFView/Open
80_recommendation.pdf109.31 kBAdobe PDFView/Open
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