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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	Juni 2018
Genre:	Naturwissensch., Medizin, Technik
	Acoustics / Applications of Mathematics / Applied mathematics / B / Communications engineering / telecommunications / Communications Engineering, Networks / Digital and Analog Signal Processing / Electrical Engineering / Fourier Analysis / Functional analysis & transforms / Image processing / Imaging systems & technology / Information and Communication, Circuits / Information theory / Physics and Astronomy / Signal Processing / Signal, Image and Speech Processing / Speech processing systems
ISBN:	9783319825656
EAN-Code:	9783319825656
Verlag:	Springer International Publishing
Einband:	Kartoniert
Sprache:	English
Serie:	Modern Acoustics and Signal Processing
Dimensionen:	H 235 mm / B 155 mm / D 34 mm
Gewicht:	943 gr
Seiten:	632
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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-stationarysignals 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. Presents the core principles of analog and digital signal analysis Discusses applications to geophysics, acoustic analysis, and data compression Features worked examples, problem sets, and extensive appendices