By Stergios Stergiopoulos
Advances in electronic sign processing algorithms and machine expertise have mixed to provide real-time platforms with functions a long way past these of simply few years in the past. Nonlinear, adaptive tools for sign processing have emerged to supply larger array achieve functionality, notwithstanding, they lack the robustness of traditional algorithms. The problem is still to increase an idea that exploits some great benefits of both-a scheme that integrates those tools in useful, real-time systems.The complex sign Processing guide is helping you meet that problem. past delivering a very good creation to the foundations and purposes of complicated sign processing, it develops a well-known processing constitution that takes good thing about the similarities that exist between radar, sonar, and clinical imaging platforms and integrates traditional and nonlinear processing schemes.
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Extra resources for Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real Time Systems
Reson. , 26, 328–341, 1992. 20. L. Owsley, Sonar Array Processing, S. V. , p. 123, Prentice-Hall, Englewood Cliffs, NJ, 1985. 21. B. Van Veen and K. , 4–24, 1988. 22. H. Sayed and T. , July, 18–60, 1994. 23. J. M. Carey, and S. Stergiopoulos, Editorial special issue on acoustic synthetic aperture processing, IEEE J. , 17(1), 1–7, 1992. 24. L. M. , July, 10–37, 1993. 25. S. T. Ashley, Guest Editorial for a special issue on sonar system technology, IEEE J. , 18(4), 361–365, 1993. ©2001 CRC Press LLC 26.
We may classify filters into linear and nonlinear. A filter is said to be linear if the filtered, smoothed, or predicted quantity at the output of the device is a linear function of the observations applied to the filter input. Otherwise, the filter is nonlinear. , mean and correlation functions) of the useful signal and unwanted additive noise, and the requirement is to design a linear filter with the noisy data as input so as to minimize the effects of noise at the filter output according to some statistical criterion.
Chapman & Hall, New York, 1988. 18. B. A. E. P. M. Mueller, The NMR phased array, Magn. Reson. , 16, 192–225, 1990. 19. S. A. V. Mulkern, Partial RF echo planar imaging with the FAISE method. I. Experimental and theoretical assessment of artifact, Magn. Reson. , 26, 328–341, 1992. 20. L. Owsley, Sonar Array Processing, S. V. , p. 123, Prentice-Hall, Englewood Cliffs, NJ, 1985. 21. B. Van Veen and K. , 4–24, 1988. 22. H. Sayed and T. , July, 18–60, 1994. 23. J. M. Carey, and S. Stergiopoulos, Editorial special issue on acoustic synthetic aperture processing, IEEE J.