By Jacob Benesty, Yiteng Huang
By adaptive sign processing, we suggest, quite often, adaptive ?ltering.In- recognized environments the place we have to version, determine, or tune time-varying channels, adaptive ?ltering has been confirmed to be an e?ective and robust instrument. hence, this device is now in use in lots of di?erent ?elds. because the invention, via Widrow and Ho? in 1959, of 1 of the ?rst advert- tive ?lters, the so-called least-mean-square, many functions seemed to have the aptitude to exploit this basic inspiration. whereas the variety of - plications (using adaptive algorithms) has been (and retains) ?ourishing with time, because of a number of successes, the necessity for extra subtle adaptive algorithms turned seen as real-world difficulties are extra advanced and extra difficult. even supposing the speculation of adaptive ?ltering is already a well-established subject in sign processing, new and more desirable strategies are came upon each year by way of researchers. a few of these fresh ways are mentioned during this booklet. The aim of this e-book is to supply, for the ?rst time, a connection with the most well liked real-world functions the place adaptive ?ltering thoughts play an enormous position. to take action, we invited best researchers in di?erent ?elds to c- tribute chapters addressing their speci?c subject of analysis. millions of pages wouldprobablynotbe enoughto describeallthe practicalapplicationsutil- ing adaptive algorithms. for that reason, we restricted the subjects to a few very important functions in acoustics, speech, instant, and networking, the place study continues to be very energetic and open.
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Extra info for Adaptive Signal Processing: Applications to Real-World Problems
The second ﬁlter represents those aspects of the feedback path that can change rapidly, such as changes resulting from a shift in the position of the hearing aid within the ear canal. The second ﬁlter is initialized when the hearing aid is ﬁtted to the user and then adaptively updated while the hearing aid is in use. The second ﬁlter is long enough to encompass the reﬂection time delays expected when a telephone receiver is positioned close to the aided ear or a hat is put on, but it is much shorter than the typical reverberation time in a room.
Such sequences have been successfully used to measure hearing-aid responses in laboratory 2 Adaptive Feedback Cancellation in Hearing Aids 33 FEEDBACK PATH PERIODIC SUM PERIODIC EXCITE MIC AMP CIRCULAR CORR RCVR MLS Fig. 4. Block diagram of the system used to make the initial measurement of the feedback path impulse response. measurement systems . A maximal-length sequence (MLS) has only two values, +1 and −1. It is generated by a N -stage shift register and the period length is M = 2N − 1 .
L. Gay, “An improved PNLMS algorithm,” in Proc. IEEE ICASSP, 2002. 10. R. K. Martin, W. A. Sethares, R. C. Williamson, and C. R. , “Exploiting sparsity in adaptive ﬁlters,” in Conference on Information Sciences and Systems, The John Hopkins University, 2001. 11. S. L. Gay and S. C. Douglas, “Normalized natural gradient adaptive ﬁltering for sparse and nonsparse systems,” in Proc. IEEE ICASSP, 2002. 12. Y. Huang and J. Benesty, “Adaptive multi-channel least mean square and Newton algorithms for blind channel identiﬁcation,” Signal Processing, vol.
Adaptive Signal Processing: Applications to Real-World Problems by Jacob Benesty, Yiteng Huang