Analog Signal Generation for Built-In-Self-Test (BIST) of Mixed-Signal Integrated Circuits is a concise introduction to a powerful new signal generation technique. The book begins with a brief introduction to the testing problem and a review of conventional signal generation techniques. The book then describes an oversampling-based oscillator capable of generating high-precision analog tones using a combination of digital logic and D/A conversion. These concepts are then extended to multi-tone testing schemes without introducing a severe hardware penalty. The concepts are extended further to encompass piece-wise linear waveforms such as square, triangular and sawtooth waves. Experimental results are presented to verify the ideas in each chapter and finally, conclusions are drawn. For those readers unfamiliar with delta-sigma modulation techniques, a brief introduction to this subject is also provided in an appendix. The book is ideal for test engineers, researchers and circuits designers with an interest in IC testing methods.
This book introduces the class of dynamical systems called semiflows, which includes systems defined or modeled by certain types of differential evolution equations (DEEs). It focuses on the basic results of the theory of dynamical systems that can be extended naturally and applied to study the asymptotic behavior of the solutions of DEEs. The auth
Log-domain and translinear filters provide a competitive alternative to the challenges of ever increasing low-voltage, low-power and high frequency demands in the area of continuous-time filters. Since translinear filters are fundamentally large-signal linear, they are capable of realizing a large dynamic range in combination with excellent tunability characteristics. Large-signal linearity is achieved by exploiting the accurate exponential behavior of the bipolar transistor or the subthreshold MOS transistor. A generalization of the dynamic translinear principle exploiting the square law behavior of the MOS transistor is theoretically possible, but not practically relevant. Translinear and log-domain filters are based on the dynamic translinear principle, a generalization of the conventional (static) translinear principle. Besides their application for linear filters, dynamic translinear circuits can also be used for the realization of non-linear dynamic functions, such as oscillators, RMS-DC converters and phase-locked loops. Dynamic Translinear and Log-Domain Circuits: Analysis and Synthesis covers both the analysis and synthesis of translinear circuits. The theory is presented using one unifying framework for both static and dynamic translinear networks, which is based on a current-mode approach. General analysis methods are presented, including the large-signal and non-stationary analysis of noise. A well-structured synthesis method is described greatly enhancing the designability of log-domain and translinear circuits. Comparisons are made with respect to alternative analysis and synthesis methods presented in the literature. The theory is illustrated and verified by various examples and realizations. Dynamic Translinear and Log-Domain Circuits: Analysis and Synthesis is an excellent reference for researchers and circuit designers, and may be used as a text for advanced courses on the topic.
Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap between theoretical statistical methods and practical procedures applied to the planning and analysis of health-related experiments. The book is organized primarily based on the type of questions to be answered by inference procedures or according to the general type of mathematical derivation. It establishes the theoretical framework for each method, with a substantial amount of chapter notes included for additional reference. It then focuses on the practical application for each concept, providing real-world examples that can be easily implemented using corresponding statistical software code in R and SAS. The book also explains the basic elements and methods for constructing correct and powerful statistical decision-making processes to be adapted for complex statistical applications. With techniques spanning robust statistical methods to more computationally intensive approaches, this book shows how to apply correct and efficient testing mechanisms to various problems encountered in medical and epidemiological studies, including clinical trials. Theoretical statisticians, medical researchers, and other practitioners in epidemiology and clinical research will appreciate the book’s novel theoretical and applied results. The book is also suitable for graduate students in biostatistics, epidemiology, health-related sciences, and areas pertaining to formal decision-making mechanisms.
This book provides fundamental and practical information on all aspects of GaAs processing and gives pragmatic advice on cleaning and passivation, wet and dry etching and photolithography. Other topics covered include device performance for HBTs (Heterojunction Bipolar Transistors) and FETs (Field Effect Transistors), how these relate to processing choices, and special processing issues such as wet oxidation, which are especially important in optoelectronic devices. This book is suitable for both new and practising engineers.
Considering how computational properties of the brain inform cognitive functions, this book presents a unique conceptual introduction to cognitive neuroscience. This essential guide explores the complex relationship between the mind and the brain, building upon the authors’ extensive research in neural information processing and cognitive neuroscience to provide a comprehensive overview of the field. Rather than providing detailed descriptions of different cognitive processes, Functions of the Brain: A Conceptual Approach to Cognitive Neuroscience focuses on how the brain functions using specific processes. Beginning with a brief history of early cognitive neuroscience research, Kok goes on to discuss how information is represented and processed in the brain before considering the underlying functional organization of larger-scale brain networks involved in human cognition. The second half of the book addresses the architecture of important overlapping areas of cognition, including attention and consciousness, perception and action, and memory and emotion. This book is essential reading for upper-level undergraduates studying Cognitive Neuroscience, particularly those taking a more conceptual approach to the topic.
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