الصفحة 5
الصفحة 5
Clock Generators for SOC Processors : Circuits and Architectures
On the architectural level, the discussion includes PLL analysis using continuous-time as well as discre- time models, linear and nonlinear effects of PLL performance, and detailed analysis of locking behavior.
Mathematical Methods in Time Series Analysis and Digital Image Processing
The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences. In particular, mathematically justified algorithms and methods, the mathematical analysis of these algorithms, and methods as well as the investigation of connections between methods from time series analysis and image processing are reviewed. An interdisciplinary comparison of these methods, drawing upon common sets of test problems from medicine and geophysical/enviromental sciences, is also addressed.
Mathematical Foundations of Computer Science 2005 ; 30th International Symposium, MFCS 2005, Gdansk, Poland, August29-September 2. 2005, Proceedings
Constitutes the proceedings of the 30th International Symposium on Mathematical Foundations of Computer Science, MFCS 2005, held in Gdansk, Poland in August/September 2005. The 62 papers address various aspects in theoretical computer science, ranging from quantum computing, approximation, automata, circuits, scheduling, games, and more.
Matching Properties of Deep Sub-Micron MOS Transistors
Matching Properties of Deep Sub-Micron MOS Transistors examines this interesting phenomenon. Microscopic fluctuations cause stochastic parameter fluctuations that affect the accuracy of the MOSFET. For analog circuits this determines the trade-off between speed, power, accuracy and yield.
Low-Power High-Level Synthesis for Nanoscale CMOS Circuits
Low-Power High-Level Synthesis for Nanoscale CMOS Circuits addresses the need for analysis, characterization, estimation, and optimization of the various forms of power dissipation in the presence of process variations of nano-CMOS technologies. The authors show very large-scale integration (VLSI) researchers and engineers how to minimize the different types of power consumption of digital circuits.
Low-Frequency Noise in Advanced MOS Devices
Low-Frequency Noise in Advanced CMOS Devices begins with an introduction to noise, describing the fundamental noise sources and basic circuit analysis. The characterization of low-frequency noise is discussed in detail and useful practical advice is given. The various theoretical and compact low-frequency (1/f) noise models in MOS transistors are treated extensively providing an in-depth understanding of the low-frequency noise mechanisms and the potential sources of the noise in MOS transistors. Advanced CMOS technology including nanometer scaled devices, strained Si, SiGe, SOI, high-k gate dielectrics, multiple gates and metal gates are discussed from a low-frequency noise point of view. Some of the most recent publications and conference presentations are included in order to give the very latest view on the topics. The book ends with an introduction to noise in analog/RF circuits and describes how the low-frequency noise can affect these circuits.
Low Power Uwb Cmos Radar Sensors
Low Power UWB CMOS Radar Sensors deals with the problem of designing low cost CMOS radar sensors. The radar sensor uses UWB signals in order to obtain a reasonable target separation capability, while maintaining a maximum signal frequency below 2 GHz. This maximum frequency value is well within the reach of current CMOS technologies. The use of UWB signals means that most of the methodologies used in the design of circuits and systems that process narrow band signals, can no longer be applied. Low Power UWB CMOS Radar Sensors provides an analysis between the interaction of UWB signals, the antennas and the processing circuits.
Complex Computing-Networks : Brain-like and Wave-oriented Electrodynamic Algorithms
This book uniquely combines new advances in the electromagnetic and the circuits&systems theory. It integrates both fields regarding computational aspects of common interest. Emphasized subjects are those methods which mimic brain-like and electrodynamic behaviour; among these are cellular neural networks, chaos and chaotic dynamics, attractor-based computation and stream ciphers.
Circuits and Systems Based on Delta Modulation : Linear, Nonlinear and Mixed Mode Processing
This book is intended for students and professionals who are interested in the field of digital signal processing of delta-sigma modulated sequences. The overall focus is on the development of algorithms and circuits for linear, non-linear, and mixed mode processing of delta-sigma modulated pulse streams. The material presented here is directly relevant to applications in digital communication, DSP, instrumentation, and control.
Circuiti : Fondamenti di Circuiti per l’Ingegneria = Circuits: Fundamentals of Circuits for Engineering
This book is an introductory text to the circuits for the courses of the Faculty of Engineering, at the first level. The text aims to tackle the circuit model in a rigorous and at the same time modern way.
Circuit and Interconnect Design for RF and High Bit-Rate Applications
Circuit and Interconnect Design for RF and High Bit-rate Applications covers each of these topics from theory to practice, with sufficient detail to help you produce circuits that are ‘first-time right’. A thorough analysis of the interplay between on-chip circuits and interconnects is presented.
CCD Image Sensors in Deep-Ultraviolet : Degradation Behavior and Damage Mechanisms
As the deep-ultraviolet (DUV) laser technology continues to mature, an increasing number of industrial and manufacturing applications are emerging. For example, the new generation of semiconductor inspection systems is being pushed to image at increasingly shorter DUV wavelengths to facilitate inspection of deep sub-micron features in integrated circuits. DUV-sensitive charge-coupled device (CCD) cameras are in demand for these applications. Although CCD cameras that are responsive at DUV wavelengths are now available, their long-term stability is still a major concern. This book describes the degradation mechanisms and long-term performance of CCDs in the DUV, along with new results of device performance at these wavelengths.
Broadband Opto-Electrical Receivers in Standard CMOS
Broadband Opto-Electrical Receivers in Standard CMOS starts from the basic fundamentals, necessary for the design of opto-electronic interface circuits. The book continues with an in-depth analysis of the photodiode, transimpedance amplifier (TIA) and limiting amplifier (LA). To thoroughly understand the light detection mechanisms in silicon, first a one-dimensional and second a two-dimensional model is developed. Analytical design equations are derived to guide the design of the amplifying circuits. For the TIA, the focus lies on the sensitivity-speed trade-off. For the LA, a high gain-bandwidth is pursued. Several practical design examples reveal the subtleties and challenges encountered during the design of high-performance analog circuits.
Brain and Human Body Modeling 2020 : Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative® 2019 Meeting
This book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields.
Brain and Human Body Modeling : Computational Human Modeling at EMBC 2018
This book describes modern applications of computational human modeling with specific emphasis in the areas of neurology and neuroelectromagnetics, depression and cancer treatments, radio-frequency studies and wireless communications. Special consideration is also given to the use of human modeling to the computational assessment of relevant regulatory and safety requirements. Readers working on applications that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest developments in computational modelling and human phantom development to assess a given technology’s safety and efficacy in a timely manner.
Blind Equalization and System Identification : Batch Processing Algorithms, Performance and Applications
Discrete-time signal processing has had a momentous impact on advances in engineering and science over recent decades. The rapid progress of digital and mixed-signal integrated circuits in processing speed, functionality and cost-effectiveness has led to their ubiquitous employment in signal processing and transmission in diverse milieux. Topics covered include: • SISO, MIMO and 2-d non-blind equalization (deconvolution) algorithms. • SISO, MIMO and 2-d blind equalization (deconvolution) algorithms. • SISO, MIMO and 2-d blind system identification algorithms. • algorithm analyses and improvements. • applications of SISO, MIMO and 2-d blind equalization/identification algorithms.
Bilinear integrable systems : From classical to quantum, continuous to discrete ; Proceedings of the NATO Advanced Research Workshop on Bilinear Integrable Systems: From Classical to Quantum, Continuous to Discrete St. Petersburg, Russia, 15-19 September 2002
Trained as a physicistin his home university Kyushu University, Professor Hirota earned his PhD in’61 at Northwestern University with Professor Siegert in the field of “QuantumStatistical mechanics”. He wrote a widely appreciated Doctoral dissertation on“Functional Integral representation of the grand partition function”. As a youngresearcher, he entered the RCA Company in Tokyo to do research on semi-conductor plasmas. Professor Hirota was led to model the Toda lattice as a non-linear networkof ladder-type LC circuits. The self-dual case led to equations very reminiscentof the Sine-Gordon equation, with much the same features (existence of onesoliton, soliton-soliton interaction, etc)
Baseband Analog Circuits for Software Defined Radio
Baseband Analog Circuits for Software Defined Radio aims to describe the transition towards a Software Radio from the analog design perspective. A complete overview of the actual state-of-art for reconfigurable transceivers is given in detail, focusing on the challenges imposed by flexibility in analog design.
Asymmetry : The foundation of information
As individual needs have arisen in the fields of physics, electrical engineering and computational science, each has created its own theories of information to serve as conceptual instruments for advancing developments. This book provides a coherent consolidation of information theories from these different fields.It provides a versatile tool for quantifying complexity and information capacity in any physical system.
Artificial intelligence and knowledge engineering applications : A bioinspired approach ; 1st international work-Conference on the interplay between natural and artificial computation, IWINAC 2005, Las Palmas, Canary Islands, Spain, June 15-18, 2005, Proceedings, Part II
The computational paradigm considered here is a conceptual, theoretical andformal framework situated above machines and living creatures (two instantia-tions), sufficiently solid, and still non-exclusive, that allows us:1. to help neuroscientists to formulate intentions, questions, experiments, meth-ods and explanation mechanisms assuming that neural circuits are the psy-chological support of calculus;2. to help scientists and engineers from the fields of artificial intelligence (AI)and knowledge engineering (KE) to model, formalize and program the com-putable part of human knowledge;3. to establish an interaction framework between natural system computation(NSC) and artificial system computation (ASC) in both directions, fromASC to NSC (in computational neuroscience), and from NSC to ASC (inbioinspired computation).
