Abstract
A scheme of noise canceler corresponding to nonlinear path using a parallel adaptive filter (PAVF) is presented in this paper. The adaptive Volterra filter (AVF) corresponding to nonlinear systems is attractive due to its linear relationship between the input and output signals. However, its formidable computer complexity is prohibitive for practical applications. In this paper, instead of the usual AVF, a design method of noise canceller using PAVF is presented. PAVF consists of several subfilters which is partitioned from AVF and can reduce the computational work significantly. Simulation results validated our proposed method.
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References
Widrow, B., Glover, J.R.: Adaptive Noise Cancelling Principles and Application. Proc. IEEE 63(12), 1692–1716 (1975)
Costa, J.P., Pronzato, Thierry, E.: Nonlinear Prediction by Kriging with Application to Noise Cancellation. Signal Processing 80, 553–566 (2000)
Mirchandani, G., Zinse, R.L., Evans, J.B.: A New Adaptive Noise Cancellation Scheme in the Presence of Crosstalk. IEEE Trans. CAS-II 39(10), 681–694 (1992)
Dunlop, J., AlKindi, M.J.: Application of Adaptive Noise Cancelling to Diver Voice Communications. In: Proc. IEICE Fall Conf., vol. A.126 (1994)
Lee, J., Mathews, V.J.: A Fast Recursive Least Squares Adaptive Second-Order Volterra Filter and its Performance Analysis. IEEE Trans. Acoust Speech Signal Processing 41(3), 1087–1102 (1993)
Kajikawa, Y.: Adaptive Volterra filter: Its Present and Future in Japanese. Electronic Information Communication Society Paper Magazine J82-A (6), 759–768 (1999)
Koh, T., Powers, E.J.: Second-order Volterra Filtering and its Application to Nonlinear System Identification. IEEE Trans Acoust Speech Signal Processing 33, 1445–1455 (1985)
Mathews, V.J.: Adaptive Polynomial Filters. IEEE Signal Processing Mag, 10–25 (July 1991)
Ljung, L., Morf, M., Falconer, D.D.: Fast Calculation of Gain Matrices for Recursive Estimation Schemes. Int. J. Contr. 27, 1–19 (1978)
Chaturvedi, A.K., Sharama, G.: A New Family of Concurrent Algorithms for Adaptive Volterra and Linear Filters. IEEE Trans Acoust Speech Signal Processing 47(9), 2547–2551 (1999)
Griffith, D.W., Jr, G., Arce, G.R.: Partially Decoupled Volterra Filters Formulation and LMS Adaptation. IEEE Trans Acoust Speech Signal Processing 45(6), 1485–1494 (1997)
Griffith, D.W., Jr, G., Arce, G.R.: A Partially Decoupled RLS Algorithm for Volterra Filter. IEEE Trans Acoust Speech Signal Processing 47(2), 579–582 (1999)
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Zhao, X., Lu, J., Yahagi, T. (2007). A New Noise Canceller Scheme Using Parallel Adaptive Volterra Filter. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_91
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DOI: https://doi.org/10.1007/978-3-540-74282-1_91
Publisher Name: Springer, Berlin, Heidelberg
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