£107.98

Springer Synthesis and Optimization of FPGA-Based Systems: 294 (Lecture Notes in Electrical Engineering, 294)

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£108 today · all-time low £107 (Mar 2026) · usually £108

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£113.08 £106.87 £108.22 £109.58 £110.93 £112.29 £113.65 24 February 2026 18 March 2026 10 April 2026 02 May 2026 25 May 2026

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53 days 22 days · current 6 days 10 days 0 13 27 40 53 £107 £108 £112 £113 Days at Price

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Price range: £107 - £113

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Description

This book first introduces concepts in the design of digital systems using field-programmable gate arrays. It then covers more theoretical aspects with the main objective of reducing resources and achieving greater optimization of circuits and systems. From the Back Cover The book is composed of two parts. The first part introduces the concepts of the design of digital systems using contemporary field-programmable gate arrays (FPGAs). Various design techniques are discussed and illustrated by examples. The operation and effectiveness of these techniques is demonstrated through experiments that use relatively cheap prototyping boards that are widely available. The book begins with easily understandable introductory sections, continues with commonly used digital circuits, and then gradually extends to more advanced topics. The advanced topics include novel techniques where parallelism is applied extensively. These techniques involve not only core reconfigurable logical elements, but also use embedded blocks such as memories and digital signal processing slices and interactions with general-purpose and application-specific computing systems. Fully synthesizable specifications are provided in a hardware-description language (VHDL) and are ready to be tested and incorporated in engineering designs. A number of practical applications are discussed from areas such as data processing and vector-based computations (e.g. Hamming weight counters/comparators). The second part of the book covers the more theoretical aspects of finite state machine synthesis with the main objective of reducing basic FPGA resources, minimizing delays and achieving greater optimization of circuits and systems.

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