By Stergios Stergiopoulos
Advances in electronic sign processing algorithms and desktop expertise have mixed to provide real-time structures with services some distance past these of simply few years in the past. Nonlinear, adaptive tools for sign processing have emerged to supply larger array achieve functionality, besides the fact that, they lack the robustness of traditional algorithms. The problem is still to boost an idea that exploits the benefits of both-a scheme that integrates those equipment in useful, real-time systems.The complicated sign Processing guide is helping you meet that problem. past supplying a great advent to the rules and purposes of complex sign processing, it develops a universal processing constitution that takes benefit of the similarities that exist between radar, sonar, and clinical imaging platforms and integrates traditional and nonlinear processing schemes.
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Additional info for Advanced Signal Processing Handbook
Reson. Imaging, 4(6), 853–867, 1994. 14. J. R. D. F. King, and Y. Kim, Correction of computed tomography motion artifacts using pixel-specific back-projection, IEEE Trans. Medical Imaging, 15(3), 333–342, 1996. 15. S. Stergiopoulos, Implementation of adaptive and synthetic-aperture processing schemes in integrated active-passive sonar systems, Proc. IEEE, 86(2), 358–396, 1998. 16. D. Stansfield, Underwater Electroacoustic Transducers, Bath University Press and Institute of Acoustics, 1990. 17. M.
Accordingly, in this chapter, we only consider the discrete-time version of Wiener and Kalman filters. In this method of representation, the input and output signals, as well as the characteristics of the filters themselves, are all defined at discrete instants of time. In any case, a continuous-time signal may always be represented by a sequence of samples that are derived by observing the signal at uniformly spaced instants of time. No loss of information is incurred during this conversion process provided, of course, we satisfy the well-known sampling theorem, according to which the sampling rate has to be greater than twice the highest frequency component of the continuous-time signal (assumed to be of a low-pass kind).
Ordinarily, it is the latter source of quantization errors that poses a serious design problem. In particular, there are two basic issues * VLSI technology favors the implementation of algorithms that possess high modularity, parallelism, or concurrency. We say that a structure is modular when it consists of similar stages connected in cascade. By parallelism, we mean a large number of operations being performed side by side. By concurrency, we mean a large number of similar computations being performed at the same time.