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| Time domain analysis and synthesis using Pth norm filter design
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Full
text: |
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Source |
Signal Processing: An International Journal (SPIJ) |
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Table of Contents |
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Complete Issue PDF(1.87MB) |
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Volume: 4 Issue: 2 |
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Pages: 68-137 |
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Publication
Date: May 2010 |
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ISSN
(Online): 1985-2339 |
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Pages |
98 - 113 |
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Author(s) |
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Published
Date |
10-06-2010 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Analysis, Synthesis, filter banks, Least Pth norm |
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| In this paper, a new approach for the design and implementation of FIR filter banks for multirate analysis and synthesis is explored. The method is based on the least algorithm and takes into consideration the characteristics of the individual filters. Features of the proposed approach include; it does not need to adapt the weighting function involved and no constraints are imposed during the course of optimization. Mostly, the FIR filter design is concentrated around linear phase characteristics but with the help of minimax solution for FIR filters using the least- algorithm, this optimal filter design approach helps us to enhance the properties of LTI systems with better stability filter coefficient convergence. Hence norm algorithm will be used in multirate to explore the stability and other properties. We have proposed the band analysis system for analysis and synthesis purpose to explore multirate filter banks. The Matlab toolbox has been used for implementing the filters and its properties will be verified with various plots and tables. The results of this paper enable us to achieve good signal to noise ratio with analysis and synthesis level operations. |
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P.P. Vaidyanathan, ‘’Multirate digital filters, filter banks, polyphase networks and Applications: A
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K. Nayebi. T. Barnwell and M. Smith “Time domain filter bank analysis: A new design Theory. ’’
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M .Smith and T. Barnwell. “A new filter bank theory for time frequency representation.”IEEE
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M. Vetterli. “A theory of multirate filter banks.” IEEE Trans. Acoustic Speech signal Processing
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T.W. Parks and J.H. Mc.Clellan, “Chebyshev approximation for nonrecursive digital filters with linear
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T.W.Parks and C.S.Burrus, Digital Filter Design, Wiley, New York, 1987
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A. Antoniou, Digital Filters; Analysis, Design and applications, Second Edition, Mc Graw – Hill, New
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Y.C.Lim, J.H.Lee, C.K. Chen, and R-H Yang, “A weighted least squares approximation for quasi-
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M.C.Lang, “Chebyshev design of FIR filters with arbitrary magnitude and phaseResponses,”
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W.S.Lu, “Design of nonlinear phase FIR digital filters: A semidefinite programming Approach,” Proc.
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G.H.Golub and C.F. Van Loan, Matrix Computation, Second Edition, the Johns Hopkins University
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| M.Y.Gokhale : Colleagues
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| Daljeet Kaur Khanduja : Colleagues
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