These twenty lectures have been developed and refined by Professor Siebert during the more than two decades he has been teaching introductory Signals and Systems courses at MIT. The lectures are designed to pursue a variety of goals in parallel: to familiarize students with the properties of a fundamental set of analytical tools; to show how these tools can be applied to help understand many important concepts and devices in modern communication and control engineering practice; to explore some of the mathematical issues behind the powers and limitations of these tools; and to begin the development of the vocabulary and grammar, common images and metaphors, of a general language of signal and system theory.
Although broadly organized as a series of lectures, many more topics and examples (as well as a large set of unusual problems and laboratory exercises) are included in the book than would be presented orally. Extensive use is made throughout of knowledge acquired in early courses in elementary electrical and electronic circuits and differential equations.
Contents: Review of the "classical" formulation and solution of dynamic equations for simple electrical circuits; The unilateral Laplace transform and its applications; System functions; Poles and zeros; Interconnected systems and feedback; The dynamics of feedback systems; Discrete-time signals and linear difference equations; The unilateral Z-transform and its applications; The unit-sample response and discrete-time convolution; Convolutional representations of continuous-time systems; Impulses and the superposition integral; Frequency-domain methods for general LTI systems; Fourier series; Fourier transforms and Fourier's theorem; Sampling in time and frequency; Filters, real and ideal; Duration, rise-time and bandwidth relationships: The uncertainty principle; Bandpass operations and analog communication systems; Fourier transforms in discrete-time systems; Random Signals; Modern communication systems.
William Siebert is Ford Professor of Engineering at MIT. Circuits, Signals, and Systems is included in The MIT Press Series in Electrical Engineering and Computer Science, copublished with McGraw-Hill.
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William Siebert is Ford Professor of Engineering at MIT.
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Da: Bookbot, Prague, Repubblica Ceca
Hardcover. Condizione: Fair. Spuren von Feuchtigkeit / Nasse; Gebrochener Buchrucken; Riss grosser als 1 cm. These twenty lectures, developed by Professor Siebert over two decades at MIT, aim to familiarize students with essential analytical tools in Signals and Systems. The lectures explore the application of these tools to understand key concepts and devices in modern communication and control engineering. They also delve into the mathematical foundations, powers, and limitations of these tools, while establishing a common vocabulary and framework for signal and system theory.While organized as lectures, the content includes a wealth of additional topics, examples, unusual problems, and laboratory exercises not typically covered in oral presentations. The material builds on knowledge from earlier courses in electrical circuits and differential equations. Key subjects include the classical formulation of dynamic equations for electrical circuits, the unilateral Laplace transform and its applications, system functions, poles and zeros, interconnected systems, feedback dynamics, discrete-time signals, and linear difference equations. Further topics encompass the unilateral Z-transform, unit-sample response, convolutional representations, frequency-domain methods for LTI systems, Fourier series, transforms, sampling, filters, and the uncertainty principle. The lectures also address bandpass operations, analog communication systems, Fourier transforms in discrete-time systems, and random signals, culminating in a comprehensive overv. Codice articolo 602ca6df-73c8-4876-b0aa-0e0efb7038e4
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