Analysis And Design OF Analog Integrated Circuits

AWR Corporation, the innovation leader in high-frequency EDA software, has announced AWR Design Environment 10.04, its first new software release in 2013, which includes many new features and enhancements to Microwave Office/Analog Office circuit design software and Visual System Simulator (VSS) system design software, as well as AXIEM 3D planar electromagnetic (EM) software and Analyst 3D finite element method (FEM) EM software.

Analog, digital, symbolic, RF and mixed mode circuit simulation & design, virtual and real-time measurements, integrated PCB design. Enhanced with super-fast multi-core engine, mixed VHDL, microcontroller (MCU), SMPS and Spice simulation, Flowchart Programming, Live 3D Breadboard, S-parameter models, Stress Analysis, and much more.

The new edition of this textbook is based on Dr. Thanh T. Tran’s 10+ years’ experience teaching high-speed digital and analog design courses at Rice University and 30+ years’ experience working in high-speed system design, including signal and power integrity in digital signal processing (DSP), computer, and embedded system. The book provides hands-on, practical instruction on high-speed digital and analog design for students and working engineers.

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design.

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design.

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design.

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design.