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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.
Autorentext
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.
Zusammenfassung
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.
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.
Inhalt
Preface xiii
Abbreviations xv
1 Introduction 1
1.1 The Organization of this Book 1
2 Discrete Signals 5
2.1 Classification of Signals 5
2.1.1 Continuous, Discrete and Digital Signals 5
2.1.2 Periodic and Aperiodic Signals 7
2.1.3 Energy and Power Signals 7
2.1.4 Even- and Odd-symmetric Signals 8
2.1.5 Causal and Noncausal Signals 10
2.1.6 Deterministic and Random Signals 10
2.2 Basic Signals 11
2.2.1 Unit-impulse Signal 11
2.2.2 Unit-step Signal 12
2.2.3 Unit-ramp Signal 13
2.2.4 Sinusoids and Exponentials 13
2.3 Signal Operations 20
2.3.1 Time Shifting 21
2.3.2 Time Reversal 21
2.3.3 Time Scaling 22
2.4 Summary 23
Further Reading 23
Exercises 23
3 Continuous Signals 29
3.1 Classification of Signals 29
3.1.1 Continuous Signals 29
3.1.2 Periodic and Aperiodic Signals 30
3.1.3 Energy and Power Signals 31
3.1.4 Even- and Odd-symmetric Signals 31
3.1.5 Causal and Noncausal Signals 33
3.2 Basic Signals 33
3.2.1 Unit-step Signal 33
3.2.2 Unit-impulse Signal 34
3.2.3 Unit-ramp Signal 42
3.2.4 Sinusoids 43
3.3 Signal Operations 45
3.3.1 Time Shifting 45
3.3.2 Time Reversal 46
3.3.3 Time Scaling 47
3.4 Summary 48
Further Reading 48
Exercises 48
4 Time-domain Analysis of Discrete Systems 53
4.1 Difference Equation Model 53
4.1.1 System Response 55
4.1.2 Impulse Response 58
4.1.3 Characterization of Systems by their Responses to Impulse and Unit-step Signals 60
4.2 Classification of Systems 61
4.2.1 Linear and Nonlinear Systems 61
4.2.2 Time-invariant and Time-varying Systems 62
4.2.3 Causal and Noncausal Systems 63
4.2.4 Instantaneous and Dynamic Systems 64
4.2.5 Inverse Systems 64
4.2.6 Continuous and Discre…