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Автор: R.S. Kaler, M. Kulkarni, Umesh Gupta
Издательство: I.K. International Pvt. Ltd./Dreamtech Press
Год: 2019
Страниц: 744
Язык: английский
Формат: pdf (true)
Размер: 78.7 MB
This book presents theoretical and application topics in digital signal processing (DSP).
The topics here comprise clever DSP "tricks of the trade" not covered in traditional DSP textbooks. This book is composed of the contents directed at engineering students and Faculties. Here we go beyond the standard DSP fundamentals textbook and present new, but tried-n-true, clever implementations of digital filter design, spectrum analysis, signal generation, high-speed function approximation, and various other DSP functions. With this book, we wished to create a resource that is relevant to the needs of the working DSP engineer by helping bridge the theory-to-practice gap between introductory DSP textbooks and the esoteric, difficult-to-understand, academic journals. The goal of this book is to make the practising-DSP engineer reader say well, while this book will be useful to experienced DSP engineers. Due to its gentle tutorial style, it will also be of considerable value to the DSP beginner. The mathematics used herein is simple algebra and the arithmetic of complex numbers, making this material accessible to a wide engineering and scientific audience. Fortunately, the topics in this book are written in a standalone manner, so that the subject matter can be read in any desired order. These are not only knowledgeable in signal processing theory, but they are also "make it work" engineers who build working DSP systems. We must remember that quest for signal processing's Holy Grail: accurate processing results at the price of a bare minimum of computations.
The field of digital signal processing (DSP) has grown as an important field of study both theoretically and technologically, over the last few decades. The main reason for this succes of DSP in the industry is due to development and use of low cost software and hardware with exciting practical applications. DSP algorithms have given rise to new range of applications in the technological development that includes microprocessors, microcontrollers and digital signal processors. These developments have a major impact on several disciplines such as electronics engineering, computer engineering, biomedical engineering and information technology. It has become a necessity that all technologists / engineers should be familiar with digital signals and systems and basic DSP techniques so that they can use DSP in their applications.
DSP technology and its advancements have reached such a stage that without DSP, we probably cannot have digital intellect review, digital recording CD, DVD, MP3/MP4 players, digital cameras, cellphones, digital satellite and TV wired/wireless networks, digital medical instruments such as digital ECG analysers, X-rays, CT scan MRI (Medical energy system) etc. Without DSP, we would not have seen applications such as voice recognition/analyses/ synthesizers, image/video editing systems etc.
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