Название: VLSI Architecture for Signal, Speech, and Image Processing: Advances, Challenges, and PotentialАвтор: Durgesh Nandan, Basant K. Mohanty
Издательство: Apple Academic Press/CRC Press
Год: 2023
Страниц: 452
Язык: английский
Формат: pdf (true)
Размер: 38.2 MB
This new volume introduces various VLSI (very-large-scale integration) architecture for DSP filters, speech filters, and image filters, detailing their key applications and discussing different aspects and technologies used in VLSI design, models and architectures, and more. The volume explores the major challenges with the aim to develop real-time hardware architecture designs that are compact and accurate. It provides useful research in the field of computer arithmetic and can be applied for various arithmetic circuits, for their digital implementation schemes, and for performance considerations.
Knowledge of very-large-scale integration (VLSI) is one of the basic needs to understand the hardware prospect of engineering. Day-by-day, its growth explores new areas of research. It plays a most important role in the performance of digital systems, digital signal processing (DSP), image processing applications, hardware security, quantum computing, etc. It is closely related to data representation schemes. Especially for DSP systems, its algorithms have a number of interesting characteristics, which can be exploited in the design of the arithmetic circuits, so that they can be implemented more efficiently in terms of “computation time, chip area, and power consumption.” Nowadays, many handheld portable battery-operated devices that require efficient, errorless, and low-power arithmetic operation.
This book presents recent useful research in the fields of computer arithmetic and explores the benefit of various arithmetic circuits, their digital implementation schemes, performance considerations, and utility of computer arithmetic in various new applications. It covers how computer arithmetic is contributing to the era of quantum computing, hardware security, image processing, biomedical equipment, artificial intelligence, neural networks, and stochastic computing.
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