Provides well balanced, detailed coverage of the techniques of signal processing in both the analog and digital domains and the ways in which they are linked in practical applications. Topics include spectral analysis of continuous and discrete signals, analysis of continuous and discrete systems and networks using transform methods, design of analog and digital filters, digitization of analog signals, power spectrum estimation of stochastic signals, the fast Fourier transform algorithms, finite word-length effects in digital signal processors and linear estimation and adaptive filtering.

From the Back Cover

Building on the success of the first edition, this popular text book has now been updated and revised. Covering both analog and digital signal processing techniques in an evenly balanced manner, Professor Baher provides an excellent introductory and comprehensive text emphasising how analog and digital techniques complement each other rather than compete.
* Brings the entire area of signal processing within the scope of modern undergraduate curricula

* Discusses topics such as spectral analysis of continuous and discrete signals (deterministic and random), Fourier, Laplace, and z-transforms, analysis of continuous and discrete systems and circuits, design of analog and digital filters, fast Fourier transform algorithms and finite word-length effects in digital processors

* Presents a final chapter on advanced signal processing (including linear estimation, adaptive filters, over-sampling sigma-delta converters, and wavelets) to encourage further interest

* Contains numerous solved examples throughout and MATLAB(r) exercises at the end of each chapter
Written primarily for undergraduates, Analog Digital Signal Processing will also be an authoritative text for postgraduate students and professional engineers.

MATLAB(r) is a registered trademark of The MathWorks, Inc.

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