Yuhua Cheng – författare

Circuit simulation is essential in integrated circuit design, and the accuracy of circuit simulation depends on the accuracy of the transistor model. BSIM3v3 (BSIM for Berkeley Short-channel IGFET Model) has been selected as the first MOSFET model for standardization by the Compact Model Council, a consortium of leading companies in semiconductor and design tools. In the next few years, many fabless and integrated semiconductor companies are expected to switch from dozens of other MOSFET models to BSIM3. This will require many device engineers and most circuit designers to learn the basics of BSIM3. MOSFET Modeling & BSIM3 User''s Guide explains the detailed physical effects that are important in modeling MOSFETs, and presents the derivations of compact model expressions so that users can understand the physical meaning of the model equations and parameters. It is the first book devoted to BSIM3. It treats the BSIM3 model in detail as used in digital, analog and RF circuit design. It covers the complete set of models, i.e., I-V model, capacitance model, noise model, parasitics model, substrate current model, temperature effect model and non quasi-static model. MOSFET Modeling & BSIM3 User''s Guide not only addresses the device modeling issues but also provides a user''s guide to the device or circuit design engineers who use the BSIM3 model in digital/analog circuit design, RF modeling, statistical modeling, and technology prediction. This book is written for circuit designers and device engineers, as well as device scientists worldwide. It is also suitable as a reference for graduate courses and courses in circuit design or device modelling. Furthermore, it can be used as a textbook for industry courses devoted to BSIM3. MOSFET Modeling & BSIM3 User''s Guide is comprehensive and practical. It is balanced between the background information and advanced discussion of BSIM3. Itis helpful to experts and students alike.

Bridges the gap between device modelling and analog circuit design. Includes dedicated software enabling actual circuit design. Covers the three significant models: BSIM3, Model 9 &, and EKV. Presents practical guidance on device development and circuit implementation. The authors offer a combination of extensive academic and industrial experience.

Bridges the gap between device modelling and analog circuit design.Includes dedicated software enabling actual circuit design.Covers the three significant models: BSIM3, Model 9 &, and EKV.Presents practical guidance on device development and circuit implementation.The authors offer a combination of extensive academic and industrial experience.

Circuit simulation is essential in integrated circuit design, and the accuracy of circuit simulation depends on the accuracy of the transistor model. BSIM3v3 (BSIM for Berkeley Short-channel IGFET Model) has been selected as the first MOSFET model for standardization by the Compact Model Council, a consortium of leading companies in semiconductor and design tools. In the next few years, many fabless and integrated semiconductor companies are expected to switch from dozens of other MOSFET models to BSIM3. This will require many device engineers and most circuit designers to learn the basics of BSIM3. MOSFET Modeling & BSIM3 User's Guide explains the detailed physical effects that are important in modeling MOSFETs, and presents the derivations of compact model expressions so that users can understand the physical meaning of the model equations and parameters. It is the first book devoted to BSIM3. It treats the BSIM3 model in detail as used in digital, analog and RF circuit design. It covers the complete set of models, i.e., I-V model, capacitance model, noise model, parasitics model, substrate current model, temperature effect model and non quasi-static model. MOSFET Modeling & BSIM3 User's Guide not only addresses the device modeling issues but also provides a user's guide to the device or circuit design engineers who use the BSIM3 model in digital/analog circuit design, RF modeling, statistical modeling, and technology prediction. This book is written for circuit designers and device engineers, as well as device scientists worldwide. It is also suitable as a reference for graduate courses and courses in circuit design or device modelling. Furthermore, it can be used as a textbook for industry courses devoted to BSIM3. MOSFET Modeling & BSIM3 User's Guide is comprehensive and practical. It is balanced between the background information and advanced discussion of BSIM3. Itis helpful to experts and students alike.

This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB.Features:Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints.Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques.Provides theoretic values and engineering insights of the censored data and constrained network.Discusses performance evaluation of the presented multi-sensor fusion algorithms.Explores promising research directions on future multi-sensor fusion.This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.

This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB.Features:Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints.Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques.Provides theoretic values and engineering insights of the censored data and constrained network.Discusses performance evaluation of the presented multi-sensor fusion algorithms.Explores promising research directions on future multi-sensor fusion.This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.

This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB.

Features:

Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints. Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques. Provides theoretic values and engineering insights of the censored data and constrained network. Discusses performance evaluation of the presented multi-sensor fusion algorithms. Explores promising research directions on future multi-sensor fusion.

This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.

This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB.

Features:

Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints. Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques. Provides theoretic values and engineering insights of the censored data and constrained network. Discusses performance evaluation of the presented multi-sensor fusion algorithms. Explores promising research directions on future multi-sensor fusion.

This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.