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Processing of Multidimensional Signals: Digital Signal Processing

Autor Alexandre Smirnov
en Limba Engleză Paperback – 9 dec 2010
In this book signals or images described by functions whose number of arguments varies from one to five are considered. This arguments can be time, spatial dimensions, or wavelength in a polychromatic signal. The book discusses the basics of mathematical models of signals, their transformations in technical pre-processing systems, and criteria of the systems quality. The models are used for the solution of practical tasks of system analysis, measurement and optimization, and signal restoration. Several examples are given.
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Specificații

ISBN-13: 9783642084782
ISBN-10: 3642084788
Pagini: 288
Ilustrații: XII, 271 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Ediția:Softcover reprint of hardcover 1st ed. 1999
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Digital Signal Processing

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

1 Analog, Discrete and Digital Signals.- 2 Spatio-Temporal Filtration.- 3 Discretization and Scanning.- 4 Imaging System Quality Assessment.- 5 Modulated Signals.- Appendix A: On Fundamental Notions of Probability Theory.- Appendix B: On Applications of computers in Visual Art.- References.

Textul de pe ultima copertă

In this book signals or images described by functions whose number of arguments varies from one to five are considered. This arguments can be time, spatial dimensions, or wavelength in a polychromatic signal. The book discusses the basics of mathematical models of signals, their transformations in technical pre-processing systems, and criteria of the systems quality. The models are used for the solution of practical tasks of system analysis, measurement and optimization, and signal restoration. Several examples are given.

Caracteristici

Multidimensional or spatio-temporal signals are important in image processing and television. This book presents the mathematical methods for the processing of multidimensional signals. Applications in system analysis, measurement and optimization, and signal restoration are described. Some examples of applications are given. Includes supplementary material: sn.pub/extras