D. Sundararajan

A Practical Approach to Signals and Systems

• Gebundenes Buch

Produktbeschreibung

Gaining a strong sense of the fundamentals of signals and systems analysis is key for general proficiency in any electronic engineering discipline, and critical for specialists in signal processing, communication, and control. A Practical Approach to Signals and Systems presents the fundamentals of time-domain and frequency-domain methods of signal and linear time-invariant system analysis. For each topic, the author details the discrete version first, followed by the corresponding continuous version. The text's methods give advanced undergraduate students a jump-start on applying signals and systems analysis to real-world problems.

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Concisely covers all the important concepts in an easy-to-understand way Gaining a strong sense of signals and systems fundamentals is key for general proficiency in any electronic engineering discipline, and critical for specialists in signal processing, communication, and control. At the same time, there is a pressing need to gain mastery of these concepts quickly, and in a manner that will be immediately applicable in the real word. Simultaneous study of both continuous and discrete signals and systems presents a much easy path to understanding signals and systems analysis. In A Practical Approach to Signals and Systems, Sundararajan details the discrete version first followed by the corresponding continuous version for each topic, as discrete signals and systems are more often used in practice and their concepts are relatively easier to understand. In addition to examples of typical applications of analysis methods, the author gives comprehensive coverage of transform methods, emphasizing practical methods of analysis and physical interpretations of concepts. * Gives equal emphasis to theory and practice * Presents methods that can be immediately applied * Complete treatment of transform methods * Expanded coverage of Fourier analysis * Self-contained: starts from the basics and discusses applications * Visual aids and examples makes the subject easier to understand * End-of-chapter exercises, with a extensive solutions manual for instructors * MATLAB software for readers to download and practice on their own * Presentation slides with book figures and slides with lecture notes A Practical Approach to Signals and Systems is an excellent resource for the electrical engineering student or professional to quickly gain an understanding of signal analysis concepts - concepts which all electrical engineers will eventually encounter no matter what their specialization. For aspiring engineers in signal processing, communication, and control, the topics presented will form a sound foundation to their future study, while allowing them to quickly move on to more advanced topics in the area. Scientists in chemical, mechanical, and biomedical areas will also benefit from this book, as increasing overlap with electrical engineering solutions and applications will require a working understanding of signals. Compact and self contained, A Practical Approach to Signals and Systems be used for courses or self-study, or as a reference book.

Produktdetails

• Verlag: Wiley & Sons
• Seitenzahl: 400
• Erscheinungstermin: 29. August 2008
• Englisch
• Abmessung: 250mm x 175mm x 26mm
• Gewicht: 838g
• ISBN-13: 9780470823538
• ISBN-10: 0470823534
• Artikelnr.: 23594893

Autorenporträt

D. Sundararajan is a consultant in digital signal processing at NewTech Software Pt. Ltd in Bangalore India. He has taught undergraduate and graduate classes in digital signal processing, engineering mathematics, programming, operating systems and digital logic design at Concordia University, Canada and Nanyang Technological Institute, Singapore. Sundararajan is the principal inventor of the latest family of Discrete Fourier Transform (DFT) algorithms, and has published two books on DFT and related areas. He also wrote a lab manual for the Digital Electronics Course at Concordia University, and has three patents in fast Fourier transforms. Over the course of his engineering career he has held positions at the National Aerospace Laboratory, Bangalore, the National Physical Laboratory, New Delhi, working on the design of digital and analog signal processing systems. Sundararajan holds a B.E. in Electrical Engineering from Madras University, an M.Tech in Electrical Engineering from IIT Chennai, and a Ph.D. in the same from Concordia University.

Inhaltsangabe

Preface. Abbreviations. 1 Introduction. 1.1 The Organization of this Book.
2 Discrete Signals. 2.1 Classification of Signals. 2.2 Basic Signals. 2.3
Signal Operations. 2.4 Summary. References. Exercises. 3 Continuous
Signals. 3.1 Classification of Signals. 3.2 Basic Signals. 3.3 Signal
Operations. 3.4 Summary. Reference. Exercises. 4 Time-Domain Analysis of
Discrete Systems. 4.1 Difference Equation Model. 4.2 Classification of
Systems. 4.3 Convolution-Summation Model. 4.4 System Stability. 4.5
Realization of Discrete Systems. 4.6 Summary. References. Exercises. 5
Time-Domain Analysis of Continuous Systems. 5.1 Classification of Systems.
5.2 Difference Equation Model. 5.3 Convolution-Integral Model. 5.4 System
Response. 5.5 System Stability. 5.6 Realization of Continuous Systems. 5.7
Summary. Reference. Exercises. 6 The Discrete Fourier Transform. 6.1 The
Time-Domain and Frequency-Domain. 6.2 The Fourier Analysis. 6.3 The
Discrete Fourier Transform. 6.4 Properties of the Discrete Fourier
Transform. 6.5 Applications of the Discrete Fourier Transform. 6.6.
Summary. References. Exercises. 7 Fourier Series. 7.1 Fourier Series. 7.2
Properties of the Fourier Series. 7.3 Approximation of the Fourier Series.
7.4 Applications of the Fourier Series. 7.5 Summary. References. Exercises.
8 The Discrete-Time Fourier Transform. 8.1 The Discrete-Time Fourier
Transform. 8.2 Properties of the Discrete-Time Fourier Transform. 8.3
Approximation of the Discrete-Time Fourier Transform. 8.4 Applications of
the Discrete-Time Fourier Transform. 8.5 Summary. References. Exercises. 9
The Fourier Transform. 9.1 The Fourier Transform. 9.2 Properties of the
Fourier Transform. 9.3 Fourier Transform of Mixed Class Signals. 9.4
Approximation of the Fourier Transform. 9.5 Applications of the Fourier
Transform. 9.6 Summary. References. Exercises. 10 The z-Transform. 10.1
Fourier Analysis and the z-Transform. 10.2 The z-Transform. 10.3 Properties
of the z-Transform. 10.4 The Inverse z-Transform. 10.5 Applications of the
z-Transform. 10.6 Summary. References. Exercises. 11 The Laplace Transform.
11.1 The Laplace Transform. 11.2 Properties of the Laplace Transform. 11.3
The Inverse Laplace Transform. 11.4 Applications of the Laplace Transform.
11.5 Summary. Reference. Exercises. 12 State-Space Analysis of Discrete
Systems. 12.1 The State-Space Model. 12.2 Time-Domain Solution of the State
Equation. 12.3 Frequency-Domain Solution of the State Equation. 12.4 Linear
Transformation of State Vectors. 12.5 Summary. Reference. Exercises. 13
State-Space Analysis of Continuous Systems. 13.1 The State-Space Model.
13.2 Time-Domain Solution of the State Equation. 13.3 Frequency-Domain
Solution of the State Equation. 13.4 Linear Transformation of State
Vectors. 13.5 Summary. Reference. Exercises. Appendix A Transform Pairs and
Properties. Appendix B Useful Mathematical Formulas. Answers to Selected
Exercises. Index.