Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/120732
Title: High performance architectures for block least mean square FIR adaptive filters
Researcher: Patel Sujit Kumar
Guide(s): Mohanty Basant Kumar
Keywords: Adaptive Filters
LMS Algorithm
University: Jaypee University of Engineering and Technology, Guna
Completed Date: 27/08/2016
Abstract: Adaptive filters are used in various digital signal processing applications such as noise cancellation echo cancellation, channel equalization and system identification Area delay efficient realization of the adaptive filters has great practical interest for resource constrained DSP applications. The least mean square LMS algorithm based adaptive filters offer low throughput rate and suitable for signals having smaller sampling frequencies. Block LMS BLMS algorithm is a derivative of LMS algorithm which offers L times higher throughput rate than the LMS based adaptive filters and involves nearly L times higher computational newline
Pagination: xiii,132
URI: http://hdl.handle.net/10603/120732
Appears in Departments:Department of Electronics and Communication

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04_declaration.pdf2.44 MBAdobe PDFView/Open
05_acknowledgement.pdf2.44 MBAdobe PDFView/Open
06_contents.pdf2.44 MBAdobe PDFView/Open
07_list of tables.pdf2.44 MBAdobe PDFView/Open
08_list of figures.pdf2.44 MBAdobe PDFView/Open
09_ abbreviation.pdf2.44 MBAdobe PDFView/Open
10_list of symbols.pdf2.44 MBAdobe PDFView/Open
11_chapter1.pdf2.44 MBAdobe PDFView/Open
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13_chapter3.pdf2.45 MBAdobe PDFView/Open
14_chapter4.pdf2.45 MBAdobe PDFView/Open
15_chapter5.pdf2.45 MBAdobe PDFView/Open
16_chapter6.pdf2.46 MBAdobe PDFView/Open
17_chapter7.pdf2.46 MBAdobe PDFView/Open
18_conclusion.pdf14.51 kBAdobe PDFView/Open
19_bibliography.pdf268.06 kBAdobe PDFView/Open
20_list of publications.pdf2.44 MBAdobe PDFView/Open


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