Fundamentals of Digital Circuits

Digital system plays a major role in the recent electronic technology due to many advantages. The main component to form a digital system is the combination of various types of logic gates. Many general applications such as binary adder and subtractor have been fabricated into a single Integrated Circuit (1C).The level of integration becomes complicated when the number of bit per 1C getting increases. Subsequently, the number of gates used per single substrate will be increased as well as the power consumption. Digital logic is the abbreviation of digital circuit logic design; its content is to use digital circuit to carry on the digital system logic design. The electronic digital computer is composed of logic parts with various logic functions. These logic components can be divided into combinatorial logic circuits and sequential logic circuits according to their structure.

Digital circuit plays a very important role in computer teaching and computer application, and the study of digital circuit is restricted by experimental equipment, experimental materials, technical means and application environment. Because of the new technology and the new product, the new teaching idea, the teaching resources and the teaching means are required higher, and the existing experimental environment and resources cannot meet the teaching needs. Facing the pressure of upgrading, the renewal of equipment requires a large amount of capital investment, especially for colleges and universities, which are already short of funds for running schools. This situation has affected the smooth progress of teaching work. The concept of virtual laboratory emerges as the times require. Virtual experiment is used to improve the teaching environment and improve the teaching quality. The virtual experimental teaching environment refers to the environment needed to carry out the virtual experiment teaching.

The aim of this book is devoted to an overview of that part of the area designated in the title which is well within the traditional scope of these transactions, i.e., circuits and systems whose basic description is by signal flow graphs and which can be implemented by digital means. Topics of general and fundamental interest are stressed and important particularities sometimes neglected are included. In recent years, machine learning has emerged as a ubiquitous tool for analysis of data and providing actionable insights across a wide range of applications from healthcare, automotive, and environmental monitoring. While traditionally, machine learning algorithms are designed to run on computers or server nodes in data centers, there is lot of research interest in incorporating machine learning algorithms in embedded systems as well as accelerating machine learning algorithms through better hardware and hardware-software co-design. Applications of embedded systems with machine learning are in edge/sensor nodes, where incorporation of artificial intelligence can reduce transmission bandwidth and improve security while providing inference capability at the sensor node with reduced latency. This book is intended to highlight circuit and system level techniques to improve energy, throughput, and security of machine learning systems for emerging applications.