Ángel Rodríguez-Vázquez

CMOS Cascade Sigma-Delta Modulators for Sensors and Telecom: Error Analysis and Practical Design starts with a tutorial presentation of the fundamentals of low-pass sigma-delta modulators, their applications, and their most common architectures. It then presents an exhaustive analysis of SC circuit errors with a twofold outcome. On the one hand, compact expressions are derived to support design plans and quick top-down design. On the other, detailed behavioral models are presented to support accurate verification. This set of models allows the designer to determine the required specifications for the different modulator building blocks and form the basis of a systematic design approach. The book is completed in subsequent chapters with the detailed presentation of three high-performance modulator ICs: the first two are intended for DSL-like applications, whereas the third one is intended for automotive sensors. CMOS Cascade Sigma-Delta Modulators forSensors and Telecom: Error Analysis and Practical Design contains highly valuable information that is structured to give the reader the necessary insight on how to design SC sigma-delta modulators.

CMOS Cascade Sigma-Delta Modulators for Sensors and Telecom: Error Analysis and Practical Design starts with a tutorial presentation of the fundamentals of low-pass sigma-delta modulators, their applications, and their most common architectures. It then presents an exhaustive analysis of SC circuit errors with a twofold outcome. On the one hand, compact expressions are derived to support design plans and quick top-down design. On the other, detailed behavioral models are presented to support accurate verification. This set of models allows the designer to determine the required specifications for the different modulator building blocks and form the basis of a systematic design approach. The book is completed in subsequent chapters with the detailed presentation of three high-performance modulator ICs: the first two are intended for DSL-like applications, whereas the third one is intended for automotive sensors. CMOS Cascade Sigma-Delta Modulators forSensors and Telecom: Error Analysis and Practical Design contains highly valuable information that is structured to give the reader the necessary insight on how to design SC sigma-delta modulators.

The book presents a top-down circuit description for the implementation of asynchronous vision sensors based on Single-Photon Avalanche Diodes (SPADs). It provides design considerations to convey the SPADs pulses through a channel shared by all the pixels. The book also presents architectures where dynamic vision sensors and SPADs converge. Design of Event-Driven SPAD-Based 3D Image Sensors provides detailed technical insights about novel image sensor architectures with SPADs with asynchronous operation. At the sensor level, the book provides asynchronous circuitry to read and arbiter the pixel outputs. The authors explore new LiDAR architectures with asynchronous operation and provide insights into their design. A detailed benchmark of modern and competitive LiDAR systems is also presented. At the pixel level, the book provides design considerations to convey the SPADs pulses through a channel shared by all the pixels. At the sensor level, the book provides asynchronous circuitry to read and arbiter the pixel outputs. Finally, experimental results of very novel LiDAR systems with asynchronous operation will be provided and analyzed. The book is written for professionals who want to explore new tendencies on the design of image sensors for the implementation of LiDAR systems.

The book presents a top-down circuit description for the implementation of asynchronous vision sensors based on Single-Photon Avalanche Diodes (SPADs). It provides design considerations to convey the SPADs pulses through a channel shared by all the pixels. The book also presents architectures where dynamic vision sensors and SPADs converge.Design of Event-Driven SPAD-Based 3D Image Sensors provides detailed technical insights about novel image sensor architectures with SPADs with asynchronous operation. At the sensor level, the book provides asynchronous circuitry to read and arbiter the pixel outputs. The authors explore new LiDAR architectures with asynchronous operation and provide insights into their design. A detailed benchmark of modern and competitive LiDAR systems is also presented. At the pixel level, the book provides design considerations to convey the SPADs pulses through a channel shared by all the pixels. At the sensor level, the book provides asynchronous circuitry to read and arbiter the pixel outputs. Finally, experimental results of very novel LiDAR systems with asynchronous operation will be provided and analyzed.The book is written for professionals who want to explore new tendencies on the design of image sensors for the implementation of LiDAR systems.

This book presents a systematic approach to the implementation of Internet of Things (IoT) devices achieving visual inference through deep neural networks. Practical aspects are covered, with a focus on providing guidelines to optimally select hardware and software components as well as network architectures according to prescribed application requirements. The monograph includes a remarkable set of experimental results and functional procedures supporting the theoretical concepts and methodologies introduced. A case study on animal recognition based on smart camera traps is also presented and thoroughly analyzed. In this case study, different system alternatives are explored and a particular realization is completely developed. Illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables make Visual Inference and IoT Systems: A Practical Approach a clear and detailed guide to the topic. It will be of interest to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT.

This book presents a systematic approach to the implementation of Internet of Things (IoT) devices achieving visual inference through deep neural networks. Practical aspects are covered, with a focus on providing guidelines to optimally select hardware and software components as well as network architectures according to prescribed application requirements. The monograph includes a remarkable set of experimental results and functional procedures supporting the theoretical concepts and methodologies introduced. A case study on animal recognition based on smart camera traps is also presented and thoroughly analyzed. In this case study, different system alternatives are explored and a particular realization is completely developed. Illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables make Visual Inference and IoT Systems: A Practical Approach a clear and detailed guide to the topic. It will be of interest to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT.

This book presents models and procedures to design pipeline analog-to-digital converters, compensating for device inaccuracies, so that high-performance specs can be met within short design cycles. These models are capable of capturing and predicting the behavior of pipeline data converters within less than half-a-bit deviation, versus transistor-level simulations. As a result, far fewer model iterations are required across the design cycle. Models described in this book accurately predict transient behaviors, which are key to the performance of discrete-time systems and hence to the performance of pipeline data converters.

This book presents a comprehensive, systematic approach to the development of vision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safety and surveillance applications. Coverage includes a thorough analysis of resistive diffusion networks embedded within an image sensor array. This analysis supports a systematic approach to the design of spatial image filters and their implementation as vision chips in CMOS technology. The book also addresses system-level considerations pertaining to the embedding of these vision chips into vision-enabled wireless sensor networks. Describes a system-level approach for designing of vision devices and embedding them into vision-enabled, wireless sensor networks; Surveys state-of-the-art, vision-enabled WSN nodes; Includes details of specifications and challenges of vision-enabled WSNs; Explains architectures for low-energy CMOS vision chips with embedded, programmable spatial filtering capabilities; Includes considerations pertaining to the integration of vision chips into off-the-shelf WSN platforms.

This book presents a comprehensive, systematic approach to the development of vision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safety and surveillance applications. Coverage includes a thorough analysis of resistive diffusion networks embedded within an image sensor array. This analysis supports a systematic approach to the design of spatial image filters and their implementation as vision chips in CMOS technology. The book also addresses system-level considerations pertaining to the embedding of these vision chips into vision-enabled wireless sensor networks. Describes a system-level approach for designing of vision devices and embedding them into vision-enabled, wireless sensor networks; Surveys state-of-the-art, vision-enabled WSN nodes; Includes details of specifications and challenges of vision-enabled WSNs; Explains architectures for low-energy CMOS vision chips with embedded, programmable spatial filtering capabilities; Includes considerations pertaining to the integration of vision chips into off-the-shelf WSN platforms.

This book presents models and procedures to design pipeline analog-to-digital converters, compensating for device inaccuracies, so that high-performance specs can be met within short design cycles. These models are capable of capturing and predicting the behavior of pipeline data converters within less than half-a-bit deviation, versus transistor-level simulations. As a result, far fewer model iterations are required across the design cycle. Models described in this book accurately predict transient behaviors, which are key to the performance of discrete-time systems and hence to the performance of pipeline data converters.

The interest for :I:~ modulation-based NO converters has significantly increased in the last years. The reason for that is twofold. On the one hand, unlike other converters that need accurate building blocks to obtain high res­ olution, :I:~ converters show low sensitivity to the imperfections of their building blocks. This is achieved through extensive use of digital signal pro­ cessing - a desirable feature regarding the implementation of NO interfaces in mainstream CMOS technologies which are better suited for implementing fast, dense, digital circuits than accurate analog circuits. On the other hand, the number of applications with industrial interest has also grown. In fact, starting from the earliest in the audio band, today we can find :I:~ converters in a large variety of NO interfaces, ranging from instrumentation to commu­ nications. These advances have been supported by a number of research works that have lead to a considerably large amount of published papers and books cov­ ering different sub-topics: from purely theoretical aspects to architecture and circuit optimization. However, so much material is often difficultly digested by those unexperienced designers who have been committed to developing a :I:~ converter, mainly because there is a lack of methodology. In our view, a clear methodology is necessary in :I:~ modulator design because all related tasks are rather hard.

Aiming at the core of the problem, Reuse Based Methodologies and Tools in the Design of Analog and Mixed-Signal Integrated Circuits presents a framework for the reuse-based design of AMS circuits. The framework is founded on three key elements: (1) a CAD-supported hierarchical design flow that facilitates the incorporation of AMS reusable blocks, reduces the overall design time, and expedites the management of increasing AMS design complexity; (2) a complete, clear definition of the AMS reusable block, structured into three separate facets or views: the behavioral, structural, and layout facets, the first two for top-down electrical synthesis and bottom-up verification, the latter used during bottom-up physical synthesis; (3) the design for reusability set of tools, methods, and guidelines that, relying on intensive parameterization as well as on design knowledge capture and encapsulation, allows to produce fully reusable AMS blocks. Reuse Based Methodologies and Tools in the Design of Analog and Mixed-Signal Integrated Circuits features a very detailed, tutorial, and in-depth coverage of all issues and must-have properties of reusable AMS blocks, as well as a thorough description of the methods and tools necessary to implement them. For the first time, this has been done hierarchically, covering one by one the different stages of the design flow, allowing us to examine how the reusable block yields its benefits, both in design time and correct performance.

Aiming at the core of the problem, Reuse Based Methodologies and Tools in the Design of Analog and Mixed-Signal Integrated Circuits presents a framework for the reuse-based design of AMS circuits. The framework is founded on three key elements: (1) a CAD-supported hierarchical design flow that facilitates the incorporation of AMS reusable blocks, reduces the overall design time, and expedites the management of increasing AMS design complexity; (2) a complete, clear definition of the AMS reusable block, structured into three separate facets or views: the behavioral, structural, and layout facets, the first two for top-down electrical synthesis and bottom-up verification, the latter used during bottom-up physical synthesis; (3) the design for reusability set of tools, methods, and guidelines that, relying on intensive parameterization as well as on design knowledge capture and encapsulation, allows to produce fully reusable AMS blocks. Reuse Based Methodologies and Tools in the Design of Analog and Mixed-Signal Integrated Circuits features a very detailed, tutorial, and in-depth coverage of all issues and must-have properties of reusable AMS blocks, as well as a thorough description of the methods and tools necessary to implement them. For the first time, this has been done hierarchically, covering one by one the different stages of the design flow, allowing us to examine how the reusable block yields its benefits, both in design time and correct performance.

The interest for :I:~ modulation-based NO converters has significantly increased in the last years. The reason for that is twofold. On the one hand, unlike other converters that need accurate building blocks to obtain high res­ olution, :I:~ converters show low sensitivity to the imperfections of their building blocks. This is achieved through extensive use of digital signal pro­ cessing - a desirable feature regarding the implementation of NO interfaces in mainstream CMOS technologies which are better suited for implementing fast, dense, digital circuits than accurate analog circuits. On the other hand, the number of applications with industrial interest has also grown. In fact, starting from the earliest in the audio band, today we can find :I:~ converters in a large variety of NO interfaces, ranging from instrumentation to commu­ nications. These advances have been supported by a number of research works that have lead to a considerably large amount of published papers and books cov­ ering different sub-topics: from purely theoretical aspects to architecture and circuit optimization. However, so much material is often difficultly digested by those unexperienced designers who have been committed to developing a :I:~ converter, mainly because there is a lack of methodology. In our view, a clear methodology is necessary in :I:~ modulator design because all related tasks are rather hard.