Abstract:
This book differentiates itself through a number of seemingly small design decisions that are powerful and go a long way in realizing an effective and instructive textboo...Show MoreMetadata
Abstract:
This book differentiates itself through a number of seemingly small design decisions that are powerful and go a long way in realizing an effective and instructive textbook for a first course in the subject. Students in the second year of an engineering program, especially those who have gone through the standard mathematics core courses, will also find themselves comfortable in studying and learning from this book. The book’s organization is straightforward but effective. After two introductory chapters dedicated to signals, systems,and the mathematical background required to study them, the text continues with two sets of chapters focusing, respectively, on analog and digital signals and systems. The two sets are organized very similarly, sequentially dedicating one chapter each to signals in the time domain, systems in the time domain, signals in the frequency domain, and systems in the frequency domain. The time domain chapters mostly examine classification, with the addition of sampling operation when discussing digital signals. The frequency domain chapters consider the different fundamental transforms (such as the continuous- and discrete-time Fourier transform, the Laplace transform for analog signals and systems, and the Z-transform for digital signals and systems) and the techniques for studying system response to different input signals. The last two chapters are dedicated to the discrete Fourier transform, including its relation to the discrete-time Fourier transform and the fast Fourier transform algorithm itself. The book distinguishes itself from others in the same category through several design decisions that go a long way in helping the reader learn.
Published in: Computing in Science & Engineering ( Volume: 19, Issue: 4, 2017)