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the space-time processing of moving objects is concerned with the spatio-temporal decomposition of signals into components representing the motion of the object relative to the observer. this can be used to form motion-compensated representations of the object. another important application is the extraction of features from the object relative to the observer, such as the position and size of an object. this can be used for visual coding of the object. other applications include the representation of a scene in terms of a motion-compensated object for the purpose of extraction of features that are coded in the motion of the objects.

this book presents the fundamentals of signal processing. the main emphasis is placed on the formulation of signal processing concepts using mathematical abstractions of the physical properties of signals. the mathematical models are used to analyze, design, and implement systems.

the volume includes a collection of methods for signal processing in both the time and frequency domains. it presents the mathematical formulations of linear and nonlinear filtering. the methods are illustrated by practical examples.

this book discusses the applications of signal processing in various domains. the book covers mathematical foundations of signal processing. the book deals with the methods of signal processing, their implementation, methods of data acquisition and processing in the time, frequency, and time-frequency domains, and applications of signal processing.

an integrated approach to signal processing is presented in this book. the authors discuss the mathematics of signal processing from a broad perspective, and use the concepts and formalism of both the time and frequency domains to describe and analyze the signals. this book is an excellent resource for the advanced undergraduate or graduate student who is looking for an integrated signal processing course. 84d34552a1