Adaptive digital processing of Multidimensional signals with by Victor F. Kravchenko

By Victor F. Kravchenko

During this monograph, the radical promising tendencies in adaptive electronic processing of multidimensional 1D–3D indications with diverse functions to radio physics, radio engineering, and medication are thought of

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For the realization of digital spectral processing of multivariate signals in the Doppler radar, synthetic-aperture radar, in problems of signal resolution and compression, computer tomography and termography, and medical diagnostics. Other examples of application of the new Kravchenko windows for detection of numerous targets by radar are presented in the second part of this book. Fig. 18. Maximum sidelobe level vs. maximum transformation loss for the K24 , K2 G3 , K44 , and K42 G22 windows with the support length reduced by 10 and 30%.

Approximation of Any Function by the Integer Functions of the Exponential Type. Dokl. Acad. Nauk RAN, 2000, vol. 371, no. 1, pp. 42–44. 21. Starets, G. A. One Class of Atomic Functions and Its Applications, Cand. Sc. ) Dissertation, Kharkov, Kharkov Gos. , 1984. Chapter 2 SPECTRAL PROPERTIES OF ATOMIC FUNCTIONS AND NOVEL WINDOWS Let us consider the application of the AF to problems of digital signal processing and show their efficiency in comparison with processing by classical methods. Below, new weighting functions (windows) will be proposed and justified [1–4].

A. Application of Atomic Functions for Restoring Signals with a Compactly Supported Spectrum. Doklady Mathematics, 2002, vol. 66. no. 1, pp. 152–156. 32 Ch. 1. The Theory of Atomic Functions 5. Kravchenko, V. F. and Basarab, M. A. Atomic Functions and Direct Methods for Solving Singular Integral Equations of Electromagnetics, Proc. of The Fourth International Symposium «Physics and Engineering of Millimeter and Sub-Millimeter Waves», June 4–9, 2001, Kharkov, Ukraine, vol. 1, pp. 238–240. 6. Zelkin, E.

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