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Ultra-Low Power Wireless Technologies for Sensor Networks is written for academic and professional researchers designing communication systems for pervasive and low power applications. The main emphasis of the book is on design techniques for low power, highly integrated transceivers. Instead of presenting a single design perspective, this book presents the design philosophies from three diverse research groups, providing three completely different strategies for achieving similar goals. The following transceiver styles are represented: MEMS-assisted super-regenerative transceiver architecture Ultra-wideband transceiver architecture Low-IF CMOS transceiver architecture The design of RF transceiver circuits and architectures is historically (and notoriously) heuristic. By presenting diverse perspectives on transceiver design, Ultra-Low Power Wireless Technologies for Sensor Networks prepares the reader for the countless design decisions they will be making in their own designs. Ultra-Low Power Wireless Technologies for Sensor Networks also includes invited chapters: "Ultra-Low Power Radio in a Package Using Ultra-Wideband Technology" by Julien Ryckaert and Steven Sanders from Interuniversity Microelectronics Centre and "Low Energy Wireless Communication" by Ben Cook and Kris Pister from the University of California, Berkeley.

Wireless communication systems. --- Sensor networks. --- Networks, Sensor --- Detectors --- Context-aware computing --- Multisensor data fusion --- Communication systems, Wireless --- Wireless data communication systems --- Wireless information networks --- Wireless telecommunication systems --- Telecommunication systems --- Low voltage systems --- Sensor networks --- Wireless communication systems --- Low-tension systems --- Electric apparatus and appliances --- Telecommunication. --- Systems engineering. --- Electronics. --- Computer engineering. --- Communications Engineering, Networks. --- Circuits and Systems. --- Electronics and Microelectronics, Instrumentation. --- Signal, Image and Speech Processing. --- Electrical Engineering. --- Computers --- Electrical engineering --- Physical sciences --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Design and construction --- Electrical engineering. --- Electronic circuits. --- Microelectronics. --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electric engineering

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Micro-power Integrated Circuits for Neural Interfaces Jeremy Holleman Fan Zhang Brian Otis This book describes ultra low-power, integrated circuits and systems designed for the emerging field of neural signal recording and processing, and wireless communication. Since neural interfaces are typically implanted, their operation is highly energy-constrained. This book introduces concepts and theory that allow circuit operation approaching the fundamental limits. Design examples and measurements of real systems are provided. The book describes circuit designs for all of the critical components of a neural recording system, including: - Amplifiers which utilize new techniques to improve the trade-off between good noise performance and low power consumption - Analog and mixed-signal circuits which implement signal processing tasks specific to the neural recording application: - Detection of neural spikes - Extraction of features that describe the spikes - Clustering, a machine learning technique for sorting spikes - Weak-inversion operation of analog-domain transistors, allowing processing circuits that reduce the requirements for analog-digital conversion and allow low system-level power consumption. - Highly-integrated, sub-mW wireless transmitter designed for the Medical Implant Communications Service (MICS) and ISM bands. •Covers analog, radio, and signal processing theory and design for ultra low-power circuits, tied together throughout the book to form an entire system; •Provides fundamental requirements of neural recording systems, as well as design techniques for reducing power consumption in low-noise amplifiers; •Includes miniaturized system-integration techniques in the context of ultra low-power circuits; •Uses results from real prototype systems to demonstrate techniques described.

Computer aided design. --- Engineering. --- Systems engineering. --- Low voltage integrated circuits --- Neural networks (Computer science) --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Design and construction --- Integrated circuits. --- Chips (Electronics) --- Circuits, Integrated --- Computer chips --- Microchips --- Computer-aided engineering. --- Electronic circuits. --- Circuits and Systems. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Electronic circuits --- Microelectronics --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- CAE --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Data processing

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Micro-power Integrated Circuits for Neural Interfaces Jeremy Holleman Fan Zhang Brian Otis This book describes ultra low-power, integrated circuits and systems designed for the emerging field of neural signal recording and processing, and wireless communication. Since neural interfaces are typically implanted, their operation is highly energy-constrained. This book introduces concepts and theory that allow circuit operation approaching the fundamental limits. Design examples and measurements of real systems are provided. The book describes circuit designs for all of the critical components of a neural recording system, including: - Amplifiers which utilize new techniques to improve the trade-off between good noise performance and low power consumption - Analog and mixed-signal circuits which implement signal processing tasks specific to the neural recording application: - Detection of neural spikes - Extraction of features that describe the spikes - Clustering, a machine learning technique for sorting spikes - Weak-inversion operation of analog-domain transistors, allowing processing circuits that reduce the requirements for analog-digital conversion and allow low system-level power consumption. - Highly-integrated, sub-mW wireless transmitter designed for the Medical Implant Communications Service (MICS) and ISM bands. ¢Covers analog, radio, and signal processing theory and design for ultra low-power circuits, tied together throughout the book to form an entire system; ¢Provides fundamental requirements of neural recording systems, as well as design techniques for reducing power consumption in low-noise amplifiers; ¢Includes miniaturized system-integration techniques in the context of ultra low-power circuits; ¢Uses results from real prototype systems to demonstrate techniques described

Electrical engineering --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- CAD (computer aided design) --- elektrische circuits