A First Course in Statistics for Signal Analysis
This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationship...
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Birkhäuser,
2019.
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Έκδοση: | 3rd ed. 2019. |
Σειρά: | Statistics for Industry, Technology, and Engineering,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Description of Signals
- Spectral Representation of Deterministic Signals: Fourier Series and Transforms
- Uncertainty Principle and Wavelet Transforms
- Random Variables and Random Vectors
- Stationary Signals
- Power Spectra of Random Signals
- Transmission of Stationary Signals through Linear Systems
- Optimization of Signal-to-Noise Ratio in Linear Systems
- Gaussian Signals, Covariance Matrices, and Sample Path Properties
- Spectral Representation of Discrete-Time Signals and Their Computer Simulations
- Prediction Theory for Stationary Random Signals
- Solutions to Selected Problems and Exercises.