Abstract
The two general applications of system identification and linear prediction have been previously examined in parallel with analytical results in order to provide a physical basis for adaptive filtering. This chapter explores some additional applications to display the flexibility and versatility of adaptive methods. The applications of this chapter are by no means exhaustive, but are meant to provide more exposure to the use of adaptive signal processing. Additionally, the applications in this chapter are fairly straightforward and do not attempt to address all the specific implementation questions that are highly dependent on the specific hardware or software system used. More detailed system information can be gathered from the references listed.
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References
C.W.K. Gritton and D.W. Lin, “Echo Cancellation Algorithms,” IEEE ASSP Magazine, vol. 1, no. 2, pp. 30–38, April 1984.
M.M. Sondhi and D.A. Berkley, “Silencing Echoes on the Telephone Network,” Proceedings of the IEEE, vol. 68, pp. 948–963, August 1980.
D.L. Duttweiler and Y.S. Chen, “A Single Chip VLSI Echo Canceller,” Bell Sys. Tech J., vol. 59, no. 2, pp. 149–160, February 1980.
J.D. Gibson,“Adaptive Prediction in Speech Differential Encoding Systems,” Proceedings of the IEEE, vol. 68, pp. 488–525, April 1980.
J.D. Gibson, “Adaptive Prediction for Speech Encoding,” IEEE ASSP Magazine, vol. 1, no. 3, pp. 12–26, July 1984.
S.T. Alexander and S.A. Rajala, “Image Compression Results Using the LMS Adaptive Algorithm,” IEEE Trans, on Acous., Speech and Signal Processing, vol. ASSP-33, pp. 712–715, June 1985.
L.J. Griffiths, “Rapid Measurement of Instantaneous Frequency,” IEEE Trans, on Acous., Speech and Signal Processing, vol. ASSP-23, pp. 209–222, April 1975.
S.M. Kay and S.L. Marple, “Spectrum Analysis—A Modern Perspective,” Proceedings of the IEEE, vol. 69, pp. 1380–1419, November 1981.
W.S. Hodgkiss and J. A. Presley, “Adaptive Tracking of Multiple Sinusoids Whose Power Levels are Widely Separated,” IEEE Trans, on Acous., Speech and Signal Processing, vol. ASSP-29, pp. 710–721, June 1981.
B. Widrow, et al., “Adaptive Antenna Systems,” Proceedings of the IEEE, vol. 55, pp. 2143–2159, December 1967.
B. Widrow, et al., “Adaptive Noise Cancelling: Principles and Applications,” Proceedings of the IEEE, vol. 62, pp. 1692–1716, December 1975.
J. D. Markel, “Digital Inverse Filtering—A New Tool for Formant Trajectory Estimation,” IEEE Trans. Audio Electroacoust., vol. AU-20, pp. 129–137, June 1972.
R.A. Monzingo and T.W. Miller, Introduction to Adaptive Arrays, John Wiley & Sons, New York, 1980.
C.F.N. Cowan and P.M. Grant, Adaptive Filters, Prentice-Hall, Englewood Cliffs, NJ, 1985.
D.G. Childers, Modern Spectrum Analysis, IEEE Press, New York, 1978.
J. Makhoul, “Linear Prediction: A Tutorial Review,” Proceedings of the IEEE, vol. 63, pp. 561–580, April 1975.
CCITT COM XVIII-R28, Working Party XVIII/2 Report (Speech Processing), Geneva, Switzerland, November 21–25, 1983.
W.R. Daumer, P. Mermelstein, X. Maitre, and I. Tokizawa, “Overview of the ADPCM Coding Algorithm,” 1984 IEEE Global Telecommunications Conf., Atlanta, GA, November 1984.
M.L. Honig and D.G. Messerschmitt, “Comparison of Adaptive Linear Prediction Algorithms in ADPCM,” IEEE Trans, on Communications, vol. COM-30, pp. 1775–1785, July 1982.
M.D. Paez and T.H. Glisson, “Minimum Mean Squared Error Quantization in Speech PCM and DPCM Systems,” IEEE Trans, on Communications, vol. COM- 20, pp. 225 - 230, April 1972.
N.S. Jayant and P. Noll,Digital Coding of Waveforms, Prentice-Hall, Englewood Cliffs, NJ, 1984.
L.J. Griffiths, “Rapid Measurement of Instantaneous Frequency,”IEEE Trans, on Acous., Speech and Signal Processing, vol. ASSP-23, pp. 209–222, April 1975.
N.J. Bershad, P.L. Feintuch, F.A. Reed, and B. Fisher, “Tracking Characteristics of the LMS Adaptive Line Enhancer Response to a Linear Chirp Signal in Noise,” IEEE Trans. Acous., Speech and Signal Processing, vol. ASSP-28, pp. 504–516, October 1980.
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© 1986 Springer-Verlag New York Inc.
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Alexander, S.T. (1986). Applications of the LMS Algorithm. In: Adaptive Signal Processing. Texts and Monographs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4978-8_6
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DOI: https://doi.org/10.1007/978-1-4612-4978-8_6
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