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Performance evaluation of three adaptive equalization algorithms
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H. Sari, “Performance evaluation of three adaptive equalization algorithms,” in Proc. Int. Conf. Acoust., Speech, Signal Processing (Paris, France), May 1983, pp. 1385-1389.
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Selection of a finite precision algorithm for echo cancellation
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M. Bonnet and O. Macchi, “Selection of a finite precision algorithm for echo cancellation,” Ann. des Telecommun. (in French), Sept. 1983.
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Dual sign algorithm for adaptive filtering
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Comparison of the convergence of two algorithms for adaptive FIR digital filters
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June
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T. A. C. M. Claasen and W. F. G. Mecklenbrauker, “Comparison of the convergence of two algorithms for adaptive FIR digital filters,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-29, no. 3, pp. 670-678, June 1981.
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A. Gersho, “Adaptive filtering with binary reinforcement,” IEEE Trans. Inform. Theory, vol. IT-30, no. 2, pp. 191-199, Mar. 1984.
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Advances in adaptive filtering
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E. Biglieri and G. Prati, Eds. Amsterdam, The Netherlands: North-Holland
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O. Macchi, “Advances in adaptive filtering,” in Digital Communications, E. Biglieri and G. Prati, Eds. Amsterdam, The Netherlands: North-Holland, 1986, pp. 41-57.
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Digital Communications
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Macchi, O.1
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Improved convergence analysis of stochastic gradient adaptive filters using the sign algorithm
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Apr.
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V. J. Mathews and S. H. Cho, “Improved convergence analysis of stochastic gradient adaptive filters using the sign algorithm,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, no. 4, pp. 450-454, Apr. 1987.
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Mathews, V.J.1
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Some considerations on the design of adaptive digital filters equipped with the sign algorithm
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Mar.
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N. A. M. Verhoeckx and T. A. C. M. Claasen, “Some considerations on the design of adaptive digital filters equipped with the sign algorithm,” IEEE Trans. Commun., vol. COM-32, no. 3, pp. 258-266, Mar. 1984.
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Verhoeckx, N.A.M.1
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Almost sure convergence of a decreasing gain sign algorithm for adaptive filtering
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Oct.
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E. Eweda, “Almost sure convergence of a decreasing gain sign algorithm for adaptive filtering,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-36, no. 10, pp. 1669-1671, Oct. 1988.
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A tight upper bound of the average absolute error in a constant step size sign algorithm
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E. Eweda, “A tight upper bound of the average absolute error in a constant step size sign algorithm,” IEEE Trans. Acoust., Speech, Signal Processing, Nov. 1989.
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Stationary and nonstationary learning characteristics of the LMS adaptive filter
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B. Widrow, J. M. McCool, M. G. Larimore, and C. R. Johnson, Jr., “Stationary and nonstationary learning characteristics of the LMS adaptive filter,” Proc. IEEE, vol. 64, pp. 1151-1162, Aug. 1976.
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On the statistical efficiency of the LMS algorithm with nonstationary inputs
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Mar.
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B. Widrow and E. Walach, “On the statistical efficiency of the LMS algorithm with nonstationary inputs,” IEEE Trans. Inform. Theory, vol. IT-30, no. 2, pp. 211-221, Mar. 1986.
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Optimization in adaptive identification for time-varying filters
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O. Macchi, “Optimization in adaptive identification for time-varying filters,” IEEE Trans. Automat. Contr., vol. AC-31, no. 3, pp. 283-287, Mar. 1986.
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