By Stergios Stergiopoulos
ISBN-10: 0849336910
ISBN-13: 9780849336911
Advances in electronic sign processing algorithms and machine expertise have mixed to supply real-time structures with functions a long way past these of simply few years in the past. Nonlinear, adaptive tools for sign processing have emerged to supply greater array achieve functionality, notwithstanding, they lack the robustness of traditional algorithms. The problem continues to be to strengthen an idea that exploits the benefits of both-a scheme that integrates those equipment in sensible, real-time systems.
The complicated sign Processing instruction manual is helping you meet that problem. past providing a good creation to the rules and functions of complicated sign processing, it develops a time-honored 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.
Read or Download Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real Time Systems (Electrical Engineering & Applied Signal Processing Series) PDF
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Extra info for Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real Time Systems (Electrical Engineering & Applied Signal Processing Series)
Example text
T. M. M. , 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.
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Punch bowl) with a uniquely defined bottom or minimum point. As mentioned previously, we refer to this paraboloid as the error-performance surface; the tap weights corresponding to the minimum point of the surface define the optimum Wiener solution. To develop a recursive algorithm for updating the tap weights of the adaptive transversal filter, we proceed in two stages. , the matrix equation defining the optimum Wiener solution) through the use of the method of steepest descent, a well-known technique in * In the general definition of a function, we speak of a transformation from a vector space into the space of real (or complex) scalars (Luenberger, 1969; Dorny, 1975).