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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Woyczyński, Wojbor A. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Birkhäuser, 2019.
Έκδοση:3rd ed. 2019.
Σειρά:Statistics for Industry, Technology, and Engineering,
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.