Theory of Remote Image FormationCambridge University Press, 2004. gada 18. nov. This book was first published in 2004. In many applications, images, such as ultrasonic or X-ray signals, are recorded and then analyzed with digital or optical processors in order to extract information. Such processing requires the development of algorithms of great precision and sophistication. This book presents a unified treatment of the mathematical methods that underpin the various algorithms used in remote image formation. The author begins with a review of transform and filter theory. He then discusses two- and three-dimensional Fourier transform theory, the ambiguity function, image construction and reconstruction, tomography, baseband surveillance systems, and passive systems (where the signal source might be an earthquake or a galaxy). Information-theoretic methods in image formation are also covered, as are phase errors and phase noise. Throughout the book, practical applications illustrate theoretical concepts, and there are many homework problems. The book is aimed at graduate students of electrical engineering and computer science, and practitioners in industry. |
Saturs
Construction and reconstruction of images | 287 |
Tomography | 321 |
Likelihood and information methods | 361 |
Radar search systems | 408 |
Passive and baseband surveillance systems | 455 |
Data combination and tracking | 481 |
Phase noise and phase distortion | 499 |
References | 513 |
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Bieži izmantoti vārdi un frāzes
algorithm ambiguity function amplitude angle antenna aperture approximation array axis baseband beam clutter coherent complex baseband compute convolution coordinates deconvolution defined denoted detection diffraction dirichlet function doppler dx dy equation estimate finite formula Fourier transform pair frequency Fresnel Gabor given grating lobes H(fx H₁ Hankel transform Huygens-Fresnel principle illumination function integral iteration loglikelihood main lobe matched filter matrix maximum-likelihood measured method noncoherent nonnegative one-dimensional optical output P(fx parameter passband signal phase noise plane pointspread function probability density function problem processing projection projection-slice theorem Proof propagation pulse s(t pulse train radiation Radon transform random variable received signal rectangle function reflector resolution S(fx sample cross-ambiguity function shown in Figure sidelobes signal s(t so(x space spatial targets term three-dimensional tomography two-dimensional Fourier transform unknown variance vector wave waveform wavefront Xc(t zero
Populāri fragmenti
i. lappuse - Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign.
514. lappuse - The reconstruction of a multidimensional sequence from the phase or magnitude of its Fourier transform", IEEE Trans.
405. lappuse - GR decibels (3.10) where GT and GR are the gains of the transmitting and receiving antennas in decibels. 3.3.3 Low-frequency propagation In the VLF band (ie below 30 kHz), the wavelengths are so long that the simple optical ray theory is invalid. The wavelengths are so long that they are comparable to the height of the lowest ionospheric layer (approximately 50 km). The ionosphere and the surface...
521. lappuse - Sampling for Very Low Bit Rate Video IV-2072 F. Martins - Carnegie Mellon University, USA W. Ding, E. Feig - IBM Thomas J. Watson Research Center, USA 3D Reconstruction of Partially Known Viral Structures from Solution X-Ray Scattering Data IV-2076 Y. Zheng, P. Doerschuk - Purdue University, USA Moving Target Detection in Foliage Using Along Track Monopulse Synthetic Aperture Radar Imaging IV-2080 M.
143. lappuse - The relative aperture or /-number of a photographic lens is the ratio of the focal length to the diameter of the entrance pupil.
373. lappuse - Maximum Entropy and Minimum Discrimination The Jaynes maximum entropy principle of data reduction says that when reducing a set of data into the form of an underlying model, one should be maximally noncommittal with respect to missing data. If one must estimate a probability distribution subject to constraints on it, then one should choose the probability distribution of maximum entropy consistent with the constraints.
221. lappuse - For perfectly conducting bodies which are sufficiently smooth, in the limit of vanishing wavelength, the bistatic cross section is equal to the monostatic cross section at the bisector of the bistatic angle between the directions to the transmitter and the receiver'.
v. lappuse - The story is told that young King Solomon was given the choice between wealth and wisdom. When he chose wisdom, God was so pleased that he gave to Solomon not only wisdom but wealth also. So it is with science.
4. lappuse - ... the ground-mapping types of radars, since they have a resolution potential at long ranges which is considerably greater than that of other types of mapping radars. Coherent optical processing is eminently well suited to the processing tasks which arise in such radar systems. The azimuth or angular resolution of a conventional radar is limited by the width of the physical radar beam, which is given by \/D, where X is the wavelength and D is the antenna width.