By Mingsian R. Bai, Jeong?Guon Ih, Jacob Benesty(auth.)
Chapter 1 creation (pages 1–7):
Chapter 2 Theoretical Preliminaries of Acoustics (pages 9–32):
Chapter three Theoretical Preliminaries of Array sign Processing (pages 33–94):
Chapter four Farfield Array sign Processing Algorithms (pages 95–150):
Chapter five Nearfield Array sign Processing Algorithms (pages 151–209):
Chapter 6 sensible Implementation (pages 211–285):
Chapter 7 Time?Domain MVDR Array clear out for Speech Enhancement (pages 287–314):
Chapter eight Frequency?Domain Array Beamformers for Noise relief (pages 315–344):
Chapter nine program Examples (pages 345–477):
Chapter 10 Concluding comments and destiny views (pages 479–499):
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Extra info for Acoustic Array Systems: Theory, Implementation, and Application
1. This argument suggests a method using a finite number of discrete virtual sources in place of the original source to approximate the sound field of interest such that certain prescribed condition, for example, surface pressure or velocity can be matched. The field radiated by these virtual simple sources would be very similar, if not identical, to that produced by the original real source. As a result, the field generated by a complex radiator can be simulated by a distribution of discrete simple sources with amplitude to be determined by given conditions.
For example, the SNR of data will be reduced by 60 dB of dynamic range after inverse filtering if condðGÞ ¼ 1000. In addition, the condition number of the propagation matrix generally increases with the distance of reconstruction since the evanescent wave decays rapidly with the distance. The condition number is a useful criterion in choosing the distance of reconstruction. A word of caution for evanescent waves is in order. The physical interpretation of evanescent waves can be misleading. In fact, there are no real evanescent waves in the nearfield of a finite size radiator.
1953) Foundations of Potential Theory, Dover, Mineola, NY. 9. K. (1994) The Boundary Element Methods in Engineering, McGraw-Hill, Columbus, OH. 10. Nobel, B. W. (1988) Applied Linear Algebra, Prentice-Hall, Englewood Cliffs, NJ. 3 Theoretical Preliminaries of Array Signal Processing In this chapter, a brief review is given of signal processing aspects required in the discussions of microphone arrays. Specifically, we shall review the basics of linear algebra, digital signal processing, array signal processing, and optimization algorithms.
Acoustic Array Systems: Theory, Implementation, and Application by Mingsian R. Bai, Jeong?Guon Ih, Jacob Benesty(auth.)