Understand the methods of modern non-stationary signal processing with authoritative insights from a leader in the field.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Patrick Flandrin holds a Research Director position at the CNRS (Centre National de la Recherche Scientifique), working in the Laboratoire de Physique of the École normale supérieure de Lyon. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and European Association for Signal Processing (EURASIP), and a Member of the French Academy of Sciences.
Inhaltsangabe
1. Introduction Part I. Basics and Constraints: 2. Small data are beautiful 3. Of signals and noise 4. On time, frequency, and Gauss 5. Uncertainty 6. From time and frequency to time-frequency 7. Uncertainty revisited 8. On stationarity Part II. Geometry and Statistics: 9. Spectrogram geometry 1 10. Sharpening spectrograms 11. A digression on Hilbert-Huang transform 12. Spectrogram geometry 2 13. The noise case 14. More on maxima 15. More on zeros 16. Back to examples 17. Conclusion 18. Annex - software tools.
1. Introduction Part I. Basics and Constraints: 2. Small data are beautiful 3. Of signals and noise 4. On time, frequency, and Gauss 5. Uncertainty 6. From time and frequency to time-frequency 7. Uncertainty revisited 8. On stationarity Part II. Geometry and Statistics: 9. Spectrogram geometry 1 10. Sharpening spectrograms 11. A digression on Hilbert-Huang transform 12. Spectrogram geometry 2 13. The noise case 14. More on maxima 15. More on zeros 16. Back to examples 17. Conclusion 18. Annex - software tools.
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