Signals, systems, and the computer by Paul M. Chirlian

Cover of: Signals, systems, and the computer | Paul M. Chirlian

Published by Intext Educational Publishers in New York .

Written in English

Read online

Subjects:

  • Electric networks -- Data processing.,
  • System analysis -- Data processing.

Edition Notes

Includes bibliographies.

Book details

Statement[by] Paul M. Chirlian.
SeriesThe Intext series in circuits, systems, communications, and computers
Classifications
LC ClassificationsTK454.2 .C46
The Physical Object
Paginationxi, 628 p.
Number of Pages628
ID Numbers
Open LibraryOL5302239M
ISBN 100700224270
LC Control Number72084133

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A companion book, "Computer Explorations in Signals and Systems Using MATLAB" (ISBN ), contains MATLAB exercises for each topic in this text. About This Book Alan V. Oppenheim, Massachusetts Institute of Technology Alan S. Willsky, MIT S.

Hamid Nawab. Additional Physical Format: Online version: Chirlian, Paul M. Signals, systems, and the computer. New York, Intext Educational Publishers [] (OCoLC) This is probably the most excellent book on signals and systems I've come across.

Also, the fact that there is an accompanying MIT open courseware course by Oppenheim that closely follows the textbook (readings are even assigned) makes this pretty much a no-brainer Signals. I'm knocking off one star for the poor writing of textbook examples/5().

This comprehensive exploration of signals and systems develops continuous- time and discrete-time concepts/methods in parallel highlighting the similarities and differences and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback.

Signals and systems are frequently discussed without knowing the exact parameters being represented. This is the same as using x and y in algebra, without assigning a physical meaning to the variables. This brings in a fourth rule for naming signals. Designed for the undergraduate course on Signals and Systems, this text provides a comprehensive overview of fundamental concepts and their practical implications.

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A very nice book for those who need to study signals and systems from scratch, for engineering courses. Very clear explanations and many exercises will help you understand the power of this topic in the modern technologic era.4/5. Additional Physical Format: Online version: Chirlian, Paul M.

Signals, systems, and the computer. Cleveland, Ohio: Weber Systems, (OCoLC) This Signals provides an overview of the material in the book, briefly illustrates the applications and highlights the mathematical background needed to understand the analysis of signals and systems.

A signal is a function of time like a voice signal, or of space like an image, or of time and space like a video. These notes were developed for use inSignals and Systems, Department of Electrical and Computer Engineering, Johns Hopkins University, over the period – File Size: KB.

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This book looks at the concepts of systems, serving as an introduction to. – Signals and Systems, Richard Baraniuk’s lecture notes, available on line – Digital Signal Processing (4th Edition) (Hardcover), John G. Proakis, Dimitris K Manolakis – Teoria dei segnali analogici, M.

Luise, G.M. Vitetta, A.A. D’Amico, McGraw-Hill – Signal processing and linear systems, Schaun's outline of File Size: 2MB. Signals & Systems presents concepts of signals & systems using a large number of well-designed and illustrative solved problems. The book is suitable for a one-semester undergraduate level course in Signals and Systems, for students in Electronics and Communication, Electrical and Electronics and Computer Engineering programs, as well as Information Technology courses.

This subject, taught in Spring ofrelied largely on the lecture notes, Signals, Systems and Inference, available in the table below. (Please note that Chapter 1 is not available on MIT OpenCourseWare.) The notes have also been adapted and published in book form by Prentice Hall: Oppenheim, Alan, and George Verghese.

This book introduces the mathematical models used to design and understand signals and systems. It is intended for students interested in developing a deep understanding of how to digitally create and manipulate signals to measure and control the physical world and to.

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only do ebook promotions online and we does not distribute any free download of ebook on this site. Signal is a function of one or more independent variables, which contain some information. Example: voice signal, video signal, signals on telephone wires etc. Note: Noise is also a signal, but the information conveyed by noise is unwanted hence it is considered as undesirable.

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He is a member of the IEEE and is doing real signals and systems problem solving as a consultant with local industry. general, signals can be functions of more than one variable, e.g., image signals. In this class we are interested in two types of signals: uous-time signal x(t), where tis a real-valued variable denoting time, i.e., t2R.

We use parenthesis to denote a continuous-time Size: 1MB. Book Description. Drawing on the author’s 25+ years of teaching experience, Signals and Systems: A MATLAB ® Integrated Approach presents a novel and comprehensive approach to understanding signals and systems theory.

Many texts use MATLAB ® as a computational tool, but Alkin’s text employs MATLAB both computationally and pedagogically to provide interactive, visual reinforcement of the. This textbook covers the fundamental theories of signals and systems analysis, while incorporating recent developments from integrated circuits technology into its examples.

Starting with basic definitions in signal theory, the text explains the properties of continuous-time and discrete-time systems and their representation by differential Brand: Birkhäuser Basel. This comprehensive exploration of signals and systems develops continuous- time and discrete-time concepts/methods in parallel highlighting the similarities and differences and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback.

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This chapter discusses the significance of the Laplace transform in the representation of signals as well as of systems. The Laplace transform provides a complementary representation to the time representation of a signal, so that damping and frequency, poles and zeros, together with regions of convergence conforms a new domain for signals.

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