Signals and Systems

Haykin and Van Veen have designed Signals and Systems to be appropriate for both one- and two-semester sophomore-junior versions of the Signals and Systems course. The book's integrated, balanced treatment of continuous- and discrete-time forms of signals and systems is both a reflection of the topics' real roles in engineering practice and a clear, practical way of introducing the large range of topics covered by the course. Already known for its extensive example and problem sets, the Second Edition has added even more examples and problems. All chapters have been revised to improve clarity and organization.

Eine ausgewogene Darstellung zeitlich kontinuierlicher und zeitlich diskreter Signalformen mit vielen praktischen Anwendungsbeispielen.
- didaktischer Vorteil dieses Ansatzes: Leser kann Ähnlichkeiten und Unterschiede der beiden Signalformen unmittelbar erkennen
- im hinteren Teil des Buches werden Signalfilterung, Modulation und Rückkopplung ausführlich besprochen Chapter 1. Introduction.

Chapter 2. Time-Domain Representations of Linear Time-Invariant Systems.

Chapter 3. Fourier Representations of Signals and Linear Time Invariant Systems.

Chapter 4. Applications of Fourier Representations to Mixed Signal Classes.

Chapter 5. Application to Communication Systems.

Chapter 6. Representing Signals by Using Continuous-Time Complex Exponentials: The Laplace Transform.

Chapter 7. Representing Signals by Using Discrete-Time Complex Exponentials: The z-Transform.

Chapter 8. Application to Filters and Equalizers.

Chapter 9. Application to Linear Feedback Systems.

Chapter 10. Epilogue.

Appendix A: Selected Mathematical Identities.

Appendix B: Partial-Fraction Expansions.

Appendix C: Tables of Fourier Representations and Properties.

Appendix D: Tables of Laplace Transforms and Properties.

Appendix E: Tables of z-Transforms and Properties.

Appendix F: Introduction to MATLAB.

Index.

Simon Haykin, Phd, is University Professor and Director of the Adaptive Systems Laboratory at McMaster University.

Reaching the conceptual peaks of signals and systems can be a challenge. But well-known authors Simon Haykin and Barry Van Veen help you clearly see connections among concepts and recognize the relevance of signals and systems to the broader field of electrical engineering.

Features

• New problems: The new edition includes opportunities for demonstration and practice throughout.
• New themed examples: Six new themed examples demonstrate the range of problems to which signal and system concepts can be applied, including RC circuits, MEMS accelerometer, radar range measurement, moving average system, multipath communication channel, and first order recursive discrete time computation. The authors revisit these themed examples using different mathematical tools to show how each tool give unique insight into the problem at hand in the context of a real world problem.
• New coverage throughout: Contains new sections on MEMS and derivatives of the unit-impulse function, the Costas receiver for demodulation of double sideband-suppressed carrier-modulated signals, and the fundamental notion of feedback and 'why feedback', as well as more detailed treatment of wavelets and the stability of nonlinear feedback systems. A new section on noise has also been added to Chapter 1. Chapter 4 now focuses exclusively on building bridges between the four basic Fourier representation for applications in which there is a missing of signal classes.
• Many opportunities for practice: All examples are based on real-world problems and emphasize the correct mathematical steps needed for applying the theory. Problems vary from drill-based to complex, so you'll have plenty of room to practice.
• Integrated, flexible coverage of MATLAB: MATLAB techniques and uses, as well as MATLAB practice problems, and provided at the end of each chapter.