Download e-book for iPad: Advanced Signal Processing Handbook by Stergios Stergiopoulos
By Stergios Stergiopoulos
Advances in electronic sign processing algorithms and machine expertise have mixed to provide real-time structures with services a long way past these of simply few years in the past. Nonlinear, adaptive equipment for sign processing have emerged to supply larger array achieve functionality, even if, they lack the robustness of traditional algorithms. The problem is still to improve an idea that exploits some great benefits of both-a scheme that integrates those tools in sensible, real-time systems.The complex sign Processing instruction manual is helping you meet that problem. past supplying a good creation to the foundations and functions of complex sign processing, it develops a established processing constitution that takes good thing about the similarities that exist between radar, sonar, and scientific imaging platforms and integrates traditional and nonlinear processing schemes.
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Extra resources for Advanced Signal Processing Handbook
Yet, in a stationary environment, we find that after successive iterations of the algorithm it converges to the optimum Wiener solution in some statistical sense. In a nonstationary environment, the algorithm offers a tracking capability, in that it can track time variations in the statistics of the input data, provided that the variations are sufficiently slow. As a direct consequence of the application of a recursive algorithm whereby the parameters of an adaptive filter are updated from one iteration to the next, the parameters become data dependent.
D. Doolitle, A. J. Sullivan, Editorial special issue on detection and estimation in matched field processing, IEEE J. , 18, 153–155, 1993. 30. A. , McGraw-Hill, New York, 1993. 31. , Chelmsford, MA, 1997. 32. Y. E. Fortman, Tracking and Data Association, Academic Press, Boston, MA, 1988. 33. S. , Norwood, MA, 1986. 34. W. Cambell, S. Stergiopoulos, and J. Riley, Effects of bearing estimation improvements of nonconventional beamformers on bearing-only tracking, Proc. Oceans ’95 MTS/IEEE, San Diego, CA, 1995.
5. A systolic array architecture, as described herein, offers the desirable features of modularity, local interconnections, and highly pipelined and synchronized parallel processing; the synchronization is achieved by means of a global clock. 4 have a common property: all three of * The systolic array was pioneered by Kung and Leiserson (1978). In particular, the use of systolic arrays has made it possible to achieve a high throughput, which is required for many advanced signal-processing algorithms to operate in real time.
Advanced Signal Processing Handbook by Stergios Stergiopoulos