Practical Signals Theory with MATLAB Applications - Tapa dura

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Richard J. Tervo, PhD, is a retired Professor of Electrical and Computer Engineering at the University of New Brunswick, Canada. For over 30 years, he taught signals and communications courses at the undergraduate and graduate levels. He is an expert in teaching the mathematical foundations of signal behavior.

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A hands-on resource designed to teach the mathematics of signals and systems with MATLAB(TM)

In this newly revised second edition of Practical Signals Theory with MATLAB(TM) Applications, Richard Tervo delivers an articulate presentation of the mathematics underlying real world engineering applications and everyday electronic devices. The new edition provides extended coverage of communication systems--including digital and spread spectrum communications--as well as a new introductory chapter on using MATLAB(TM) as a tool to visualize the mathematics of signals and systems.

The text contains numerous hands-on examples and expanded end-of-chapter exercises. It is a one-stop reference for signals and systems, explaining aspects of commonplace signal types, orthogonality and signal decomposition, transformations, and the graphical presentation of calculations and results. Readers will also find:

• A solid introduction to the mathematics of continuous and discrete signals represented in time and frequency domains
• Thorough coverage of the classic Fourier, Laplace and z-transforms, and their many applications
• New end-of-chapter worked exercises, a variety of in-line study questions with answers and easily reproducible MATLAB(TM) code demonstrations
• Bonus material on related applications in different fields of study and a companion website designed to support additional learning

Perfect for undergraduate and graduate students of signals and systems, signals theory, and related areas of electrical engineering, Practical Signals Theory with MATLAB(TM) Applications will also benefit researchers and professors in the field of system design and signal processing.