Analog and Digital Signal Analysis: From Basics to Applications

Analog and Digital Signal Analysis: From Basics to Applications

English | ISBN: 3319423800 | 2016 | 634 Pages | PDF | 11 MB

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.


[Fast Download] Analog and Digital Signal Analysis: From Basics to Applications

Ebooks related to "Analog and Digital Signal Analysis: From Basics to Applications" :
Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development
Transducers and Arrays for Underwater Sound, 2nd Edition
Digital Signal Processing with Matlab Examples, Volume 1: Signals and Data, Filtering, Non-stationar
Digital Signal Processing with Matlab Examples, Volume 3: Model-Based Actions and Sparse Representat
Digital Video
Reflectance Confocal Microscopy for Skin Diseases
Digital Signal Processing: Signals, Systems, and Filters
Advances in Signal Processing and Intelligent Recognition Systems
Effective Video Coding for Multimedia Applications
Bootstrap Techniques for Signal Processing
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.