Parallel Non-Monte Carlo Transient Noise Simulation


Book Description

"Noise analysis is a necessary but often lengthy part of the design process for microelectronics. Frequency domain noise analysis methods are ill-suited for simulating noise in nonlinear circuits with arbitrary large-signal waveforms, while time domain noise analysis methods typically suffer from long simulation times. A novel parallel non-Monte Carlo transient noise analysis method for general nonlinear analysis is presented. Non-Monte Carlo based transient noise methods avoid expensive and lengthy Monte Carlo iterations by describing the nonlinear system with a linear time-varying system that can be used to calculate the variance of the waveform at every time point. However, the main bottleneck in these methods is that the linear time-varying system is computationally expensive to solve when the circuit is large. To address this issue, the proposed method decouples the linear time-varying system into homogeneous and inhomogeneous systems that can be solved independently. The inhomogeneous system is solved in parallel by partitioning the time interval into independent subintervals, while the complexity of the homogeneous system can be decreased significantly due to the linearity of the equations"--







Efficient Transient Noise Analysis in Circuit Simulation


Book Description

The current technological progress in microelectronics is driven by the desire to decrease feature sizes, increase frequencies and the need for low supply voltages. Amongst other effects the signal-to-noise ratio decreases and the transient noise analysis becomes necessary in the simulation of electronic circuits. Taking the inner electronic noise into account by means of Gaussian white noise currents, mathematical modelling leads to stochastic differential algebraic equations (SDAEs) with a large number of small noise sources. The simulation of such systems requires an efficient numerical time integration by mean-square convergent numerical methods. In this thesis, adaptive linear multi-step Maruyama schemes to solve stochastic differential equations (SDEs) and SDAEs are developed. A reliable local error estimate for systems with small noise is provided and a strategy for controlling the step-size and the number of solution paths simultaneously in one approximation is presented. Numerical experiments on industrial relevant real-life applications illustrate the theoretical findings.




Hierarchical Device Simulation


Book Description

This monograph is the first on physics-based simulations of novel strained Si and SiGe devices. It provides an in-depth description of the full-band monte-carlo method for SiGe and discusses the common theoretical background of the drift-diffusion, hydrodynamic and Monte-Carlo models and their synergy.




Numerical Methods in Electromagnetics


Book Description

This special volume provides a broad overview and insight in the way numerical methods are being used to solve the wide variety of problems in the electronics industry. Furthermore its aim is to give researchers from other fields of application the opportunity to benefit from the results wich have been obtained in the electronics industry. * Complete survey of numerical methods used in the electronic industry* Each chapter is selfcontained* Presents state-of-the-art applications and methods* Internationally recognised authors




Memorandum


Book Description




Advanced Optical Wireless Communication Systems


Book Description

Combines theory with real-world case studies to give a comprehensive overview of modern optical wireless technology.




Variation Tolerant On-Chip Interconnects


Book Description

This book presents design techniques, analysis and implementation of high performance and power efficient, variation tolerant on-chip interconnects. Given the design paradigm shift to multi-core, interconnect-centric designs and the increase in sources of variability and their impact in sub-100nm technologies, this book will be an invaluable reference for anyone concerned with the design of next generation, high-performance electronics systems.




Monte Carlo Simulation and Finance


Book Description

Monte Carlo methods have been used for decades in physics, engineering, statistics, and other fields. Monte Carlo Simulation and Finance explains the nuts and bolts of this essential technique used to value derivatives and other securities. Author and educator Don McLeish examines this fundamental process, and discusses important issues, including specialized problems in finance that Monte Carlo and Quasi-Monte Carlo methods can help solve and the different ways Monte Carlo methods can be improved upon. This state-of-the-art book on Monte Carlo simulation methods is ideal for finance professionals and students. Order your copy today.




Analog Design and Simulation Using OrCAD Capture and PSpice


Book Description

Anyone involved in circuit design that needs the practical know-how it takes to design a successful circuit or product, will find this practical guide to using Capture-PSpice (written by a former Cadence PSpice expert for Europe) an essential book. The text delivers step-by-step guidance on using Capture-PSpice to help professionals produce reliable, effective designs. Readers will learn how to get up and running quickly and efficiently with industry standard software and in sufficient detail to enable building upon personal experience to avoid common errors and pit-falls. This book is of great benefit to professional electronics design engineers, advanced amateur electronics designers, electronic engineering students and academic staff looking for a book with a real-world design outlook. Provides both a comprehensive user guide, and a detailed overview of simulation Each chapter has worked and ready to try sample designs and provides a wide range of to-do exercises Core skills are developed using a running case study circuit Covers Capture and PSpice together for the first time.