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Название: Digital Signal Processing: Theory and Practice, 10th Edition
Автор: Maurice Bellanger
Издательство: Wiley
Год: 2024
Страниц: 397
Язык: английский
Формат: pdf (true), epub
Размер: 25.9 MB

Understand the future of signal processing with the latest edition of this groundbreaking text.

Signal processing is a key aspect of virtually all engineering fields. Digital techniques enormously expand the possible applications of signal processing, forming a part of not only conventional engineering projects but also data analysis and artificial intelligence. There are considerable challenges raised by these techniques, however, as the gulf between theory and practice can be wide; the successful integration of digital signal processing techniques requires engineers capable of bridging this gulf.

For years, Digital Signal Processing has met this need with a comprehensive guide that consistently connects abstract theory with practical applications. Now fully updated to reflect the most recent developments in this crucial field, the tenth edition of this seminal text promises to foster a broader understanding of signal processing among a new generation of engineers and researchers.

Indisputably, analog processing of electrical signals came before digital processing, and analog processing will surely continue to have an important role to play in certain applications, but the benefits of digital processing can be expressed in two words: accuracy and reliability. Certain applications have only been made possible by the accuracy and reliability offered by digital technologies, which go far beyond the sectors of electronics and telecommunications in which these techniques first emerged.

In signal processing, digital techniques offer a fantastic range of possibilities: rigorous system design, flexibility, reproducibility of equipment, stability of operating features, and ease of supervision and monitoring. However, there is a certain amount of abstractness in these techniques, and, in order to apply them to real-world cases, we need a set of theoretical knowledge, which may represent an obstacle to their use. This book aims to break down the barriers and make digital techniques accessible to readers by drawing the connection between theory and practice and providing users with the most widely used results in the domain, at their fingertips.

With respect to previous editions, this new edition offers additional information, simplifications, and also a new chapter about one of the most important tools in the field of Artificial Intelligence – neural networks, as they relate to adaptive systems.

The advent of digital processing dates from the discovery of fast computational algorithms of the discrete Fourier transform. Indeed, this transform is the basis for the study of discrete systems. In digital processing, it is the equivalent of the Fourier transform in analog processing, enabling us to transition from the discrete-time domain to the discretefrequency domain. It lends itself very well to spectral analysis, with a frequency step dividing the sampling frequency of the signals being analyzed.

Fast computation algorithms offer gains, as they enable operations to be performed in real time, provided certain elementary conditions are met. Thus, the discrete Fourier transform is not only a fundamental tool in determining the processing characteristics and in the study of the impacts of those characteristics on the signal, but it is also used in the production of popular devices, such as mobile radio and digital television. Chapters 2 and 3 are dedicated to these algorithms. To begin with, they present the elementary properties and the mechanism of fast computation algorithms and their applications before moving on to a set of variants associated with practical situations.

Readers of the new edition of Digital Signal Processing will also find:

Exercises at the end of each chapter to reinforce key concepts
A new chapter covering digital signal processing for neural networks
Handy structure beginning with undergraduate-level material before moving to more advanced concepts in the second half

Digital Signal Processing is a must-own for students, researchers, and industry professionals in any of the hundreds of fields and subfields that make use of signal processing algorithms.

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