Signal processing principles are essential to running many everyday devices. This book presents the basic theory of digital signal processing, focusing on applications in the real world.

Sampling, quantization, Fourier transform, filters, Bayesian methods and numerical considerations are covered, and are then developed to illustrate how they are used in processing audio, video, image, and in communications. The book ends with methods of effective implementation of algorithms in hardware and software.

The arguments are used axiomatically rather than mathematics where where possible, and the linkages between various signal processing techniques are emphasized. The advantages and disadvantages of different approaches are presented in the context of real world examples, enabling the reader to choose the best solution for a particular problem.

With more than 200 illustrations and more than 130 exercises (including solutions), this book will attract practitioners working in signal processing and undergraduate students in electrical engineering and computer engineering.

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