The basic concepts of digital signal processing are introduced, building on fundamental principles and connecting theory and practice.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dimitris G. Manolakis is currently a Member of Technical Staff at MIT Lincoln Laboratory in Lexington, Massachusetts. Prior to this he was a Principal Member of Research Staff at Riverside Research Institute. Since receiving his Ph.D. in Electrical Engineering from the University of Athens in 1981, he has taught at various institutions including Northeastern University, Boston College, and Worcester Polytechnic Institute and co-authored two textbooks on signal processing. His research experience and interests include the areas of digital signal processing, adaptive filtering, array processing, pattern recognition, remote sensing and radar systems.
Inhaltsangabe
1. Introduction 2. Discrete-time signals and systems 3. The z-transform 4. Fourier representation of signals 5. Transform analysis of LTI systems 6. Sampling of continuous-time signals 7. The discrete Fourier transform 8. Computation of the discrete Fourier transform 9. Structures for discrete-time systems 10. Design of FIR filters 11. Design of IIR filters 12. Multirate signal processing 13. Random signals 14. Random signal processing 15. Finite wordlength effects.
1. Introduction 2. Discrete-time signals and systems 3. The z-transform 4. Fourier representation of signals 5. Transform analysis of LTI systems 6. Sampling of continuous-time signals 7. The discrete Fourier transform 8. Computation of the discrete Fourier transform 9. Structures for discrete-time systems 10. Design of FIR filters 11. Design of IIR filters 12. Multirate signal processing 13. Random signals 14. Random signal processing 15. Finite wordlength effects.
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