Analog and Digital Signal Analysis

From Basics to Applications

Nonfiction, Science & Nature, Science, Physics, Acoustics & Sound, Technology, Electronics
Cover of the book Analog and Digital Signal Analysis by Frédéric Cohen Tenoudji, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Frédéric Cohen Tenoudji ISBN: 9783319423821
Publisher: Springer International Publishing Publication: August 26, 2016
Imprint: Springer Language: English
Author: Frédéric Cohen Tenoudji
ISBN: 9783319423821
Publisher: Springer International Publishing
Publication: August 26, 2016
Imprint: Springer
Language: English

This book provides comprehensive, graduate-level treatment of analog and digital signal analysis suitable for course use and self-guided learning. This expert text guides the reader from the basics of signal theory through a range of application tools for use in acoustic analysis, geophysics, and data compression. Each concept is introduced and explained step by step, and the necessary mathematical formulae are integrated in an accessible and intuitive way. The first part of the book explores how analog systems and signals form the basics of signal analysis. This section covers Fourier series and integral transforms of analog signals, Laplace and Hilbert transforms, the main analog filter classes, and signal modulations. Part II covers digital signals, demonstrating their key advantages. It presents z and Fourier transforms, digital filtering, inverse filters, deconvolution, and parametric modeling for deterministic signals. Wavelet decomposition and reconstruction of non-stationary signals are also discussed. The third part of the book is devoted to random signals, including spectral estimation, parametric modeling, and Tikhonov regularization. It covers statistics of one and two random variables and the principles and methods of spectral analysis. Estimation of signal properties is discussed in the context of ergodicity conditions and parameter estimations, including the use of Wiener and Kalman filters. Two appendices cover the basics of integration in the complex plane and linear algebra. A third appendix presents a basic Matlab toolkit for computer signal analysis. This expert text provides both a solid theoretical understanding and tools for real-world applications.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book provides comprehensive, graduate-level treatment of analog and digital signal analysis suitable for course use and self-guided learning. This expert text guides the reader from the basics of signal theory through a range of application tools for use in acoustic analysis, geophysics, and data compression. Each concept is introduced and explained step by step, and the necessary mathematical formulae are integrated in an accessible and intuitive way. The first part of the book explores how analog systems and signals form the basics of signal analysis. This section covers Fourier series and integral transforms of analog signals, Laplace and Hilbert transforms, the main analog filter classes, and signal modulations. Part II covers digital signals, demonstrating their key advantages. It presents z and Fourier transforms, digital filtering, inverse filters, deconvolution, and parametric modeling for deterministic signals. Wavelet decomposition and reconstruction of non-stationary signals are also discussed. The third part of the book is devoted to random signals, including spectral estimation, parametric modeling, and Tikhonov regularization. It covers statistics of one and two random variables and the principles and methods of spectral analysis. Estimation of signal properties is discussed in the context of ergodicity conditions and parameter estimations, including the use of Wiener and Kalman filters. Two appendices cover the basics of integration in the complex plane and linear algebra. A third appendix presents a basic Matlab toolkit for computer signal analysis. This expert text provides both a solid theoretical understanding and tools for real-world applications.

More books from Springer International Publishing

Cover of the book Lipidomics of Stem Cells by Frédéric Cohen Tenoudji
Cover of the book Differential and Difference Equations with Applications by Frédéric Cohen Tenoudji
Cover of the book Producing History in Spanish Civil War Exhumations by Frédéric Cohen Tenoudji
Cover of the book Device-to-Device Communications in Cellular Networks by Frédéric Cohen Tenoudji
Cover of the book Principles of Elemental Chemostratigraphy by Frédéric Cohen Tenoudji
Cover of the book Development of an Ultrasonic Sensing Technique to Measure Lubricant Viscosity in Engine Journal Bearing In-Situ by Frédéric Cohen Tenoudji
Cover of the book The Political Economy of Anti-dumping Protection by Frédéric Cohen Tenoudji
Cover of the book Nonlinear Model Predictive Control by Frédéric Cohen Tenoudji
Cover of the book Soft Error Mechanisms, Modeling and Mitigation by Frédéric Cohen Tenoudji
Cover of the book Advances and Applications in Nonlinear Control Systems by Frédéric Cohen Tenoudji
Cover of the book Religion, Disability, and Interpersonal Violence by Frédéric Cohen Tenoudji
Cover of the book Quantitative Logic and Soft Computing 2016 by Frédéric Cohen Tenoudji
Cover of the book Forest Soils by Frédéric Cohen Tenoudji
Cover of the book Toward Predicate Approaches to Modality by Frédéric Cohen Tenoudji
Cover of the book Computational Sustainability by Frédéric Cohen Tenoudji
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy