Adaptive Filtering: Algorithms and Practical Implementation - download pdf or read online

By Paulo Sergio Ramirez DINIZ (auth.)

ISBN-10: 1475736371

ISBN-13: 9781475736373

ISBN-10: 1475736398

ISBN-13: 9781475736397

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N the process is identified as a moving average (MA) process. This terminology indicates that the process depends on a linear combination of the present and past sampies of the input signal. In summary, an ARMA process can be generated by applying a white noise to the input of a digital filter with poles and zeros, whereas for the AR and MA cases the digital filters are all-pole and all-zero filters, respectively. M arkov Process A stochastic process is called a Markov process if its past has no influence in the future if the present is specified [13], [15].

9. M. Bellanger, Digital Processing of Signals, John Wiley & Sons, New York, NY, 1984. 10. M. L. Honig and D. G. Messerschmitt, Adaptive Filters: Structures, algorithms, and Applications, Kluwer Academic Publishers, Boston, MA, 1984. 11. S. T. Alexander, Adaptive Signal Processing, Springer Verlag, New York, NY, 1986. 12. M. , New York, NY, 2nd edition, 2001. 13. P. Strobach, Linear Prediction Theory, Springer Verlag, New York, NY, 1990. 14. B. Widrow and S. D. Stearns, Adaptive Signal Processing, Prentice Hall, Englewood Cliffs, NJ, 1985.

B. Farhang-Boroujeny, Adaptive Filters: Theory and Applications, John Wiley & Sons, New York, NY, 1998. 17. S. Haykin, Adaptive Filter Theory, Prentice Hall, Englewood Cliffs, NJ, 4th edition, 2002. 18. L. R. Rabiner and R. W. Schaffer, Digital Processing Prentice Hall, Englewood Cliffs, NJ, 1978. 0/ Speech Signals, 19. D. H. Johnson and D. E. Dudgeon, Array Signal Processing, Prentice Hall, Englewood Cliffs, NJ, 1993. 20. T. Kailath, Linear Systems, Prentice Hall, Englewood Cliffs, NJ, 1980. 21.

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Adaptive Filtering: Algorithms and Practical Implementation by Paulo Sergio Ramirez DINIZ (auth.)


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