Mechanical Systems and Signal Processing - Journal - ElsevierYou are currently using the site but have requested a page in the site. Would you like to change to the site? John W. Readers will develop a deeper understanding of how to apply the algorithms by manipulating the codes in the examples to see their effect. Moreover, plenty of exercises help to put knowledge into practice solving real-world signal processing challenges. Each chapter begins with chapter objectives and an introduction. A summary at the end of each chapter ensures that one has mastered all the key concepts and techniques before progressing in the text.
Digital Signal Processing Fundamentals
Table 1. Table In keeping with the goals of the first edition, this second edition of Analog and Digital Signal Processing is geared to junior and senior electrical engineering students and stresses the fundamental principles and applications of signals, systems, transforms, and filters. The premise is to help the student think clearly in both the time domain and the frequency domain and switch from one to the other with relative ease. The text assumes familiarity with elementary calculus, complex numbers, and basic circuit analysis. This edition has undergone extensive revision and refinement, in response to reviewer comments and to suggestions from users of the first edition including students.
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Discrete-amplitude signal analysis is studied. A reconstruction theorem of an arbitrary signal quantized in amplitude but continuous in time, from 2 bits of its binary representation, is devised. A new concept of discrete-amplitude multiresolution DAM , with the signal representation precision taken as its scale, is proposed. The singularities and the residue reducing effect of 2-bit reconstruction of some discrete-time signals are investigated. Two practical examples of applying the discrete-amplitude signal analysis to data compression and signal detection are presented. It is shown both analytically and practically that the discrete-amplitude signal analysis is of simple formulation, parallel processing and efficient computation, and is well suited to hardware implementation and real-time signal processing. Unable to display preview.
In signal processing , a signal is a function that conveys information about a phenomenon. A signal may also be defined as an observable change in a quantity. Any physical quantity that exhibits variation in space or time can be a signal used, among other possibilities, to share messages between observers. Also, it is stated that a signal may or may not contain any information. In nature, signals can be actions done by an organism to alert other organisms, ranging from the release of plant chemicals to warn nearby plants of a predator, to sounds or motions made by animals to alert other animals of food. Signalling occurs in all organisms even at cellular levels, with cell signaling.