Signals and Systems (2nd Ed.)
Auteurs : Haykin Simon, Van Veen Barry
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.
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.
Date de parution : 10-2002
Ouvrage de 832 p.
21.3x25.7 cm
Thème de Signals and Systems :
Mots-clés :
Sophomore signals course textbook; junior signals textbook; continuous forms of signals and systems; forms of signals and systems; signal processing text; linear time invariant systems; Fourier representations of signals; applications of Fourier representations; representing signals; filters and equalizers; systems and signals in engineering; signal processing examples; signals and systems problems; representing signals
