Signal Processing for Intelligent Sensor Systems with MATLAB®, Second Edition

Signal Processing for Intelligent Sensor Systems with MATLAB®, Second Edition

Author: David C. Swanson

Publisher: CRC Press

Published: 2011-07-26

Total Pages: 683

ISBN-13: 9781420043044

DOWNLOAD EBOOK

Signal Processing for Intelligent Sensors with MATLAB®, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections: Fundamentals of Digital Signal Processing, Frequency Domain Processing, Adaptive System Identification and Filtering, Wavenumber Sensor Systems, and Signal Processing Applications. Taking an informal, application-based approach and using a tone that is more engineer-to-engineer than professor-to-student, this revamped second edition enhances many of the features that made the original so popular. This includes retention of key algorithms and development methodologies and applications, which are creatively grouped in a way that differs from most comparable texts, to optimize their use. New for the Second Edition: Inclusion of more solved problems Web access to a large collection of MATLAB® scripts used to support data graphs presented throughout the book Additional coverage of more audio engineering, transducers, and sensor networking technology A new chapter on Digital Audio processing reflects a growing interest in digital surround sound (5.1 audio) techniques for entertainment, home theaters, and virtual reality systems New sections on sensor networking, use of meta-data architectures using XML, and agent-based automated data mining and control Serving dual roles as both a learning resource and a field reference on sensor system networks, this book progressively reveals digestible nuggets of critical information to help readers quickly master presented algorithms and adapt them to meet their requirements. It illustrates the current trend toward agile development of web services for wide area sensor networking and intelligent processing in the sensor system networks that are employed in homeland security, business, and environmental and demographic information systems.


Book Synopsis Signal Processing for Intelligent Sensor Systems with MATLAB®, Second Edition by : David C. Swanson

Download or read book Signal Processing for Intelligent Sensor Systems with MATLAB®, Second Edition written by David C. Swanson and published by CRC Press. This book was released on 2011-07-26 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Intelligent Sensors with MATLAB®, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections: Fundamentals of Digital Signal Processing, Frequency Domain Processing, Adaptive System Identification and Filtering, Wavenumber Sensor Systems, and Signal Processing Applications. Taking an informal, application-based approach and using a tone that is more engineer-to-engineer than professor-to-student, this revamped second edition enhances many of the features that made the original so popular. This includes retention of key algorithms and development methodologies and applications, which are creatively grouped in a way that differs from most comparable texts, to optimize their use. New for the Second Edition: Inclusion of more solved problems Web access to a large collection of MATLAB® scripts used to support data graphs presented throughout the book Additional coverage of more audio engineering, transducers, and sensor networking technology A new chapter on Digital Audio processing reflects a growing interest in digital surround sound (5.1 audio) techniques for entertainment, home theaters, and virtual reality systems New sections on sensor networking, use of meta-data architectures using XML, and agent-based automated data mining and control Serving dual roles as both a learning resource and a field reference on sensor system networks, this book progressively reveals digestible nuggets of critical information to help readers quickly master presented algorithms and adapt them to meet their requirements. It illustrates the current trend toward agile development of web services for wide area sensor networking and intelligent processing in the sensor system networks that are employed in homeland security, business, and environmental and demographic information systems.

Signal Processing for Intelligent Sensor Systems with MATLAB®

Signal Processing for Intelligent Sensor Systems with MATLAB®

Author: David C. Swanson

Publisher: CRC Press

Published: 2011-07-21

Total Pages: 684

ISBN-13: 1439879508

DOWNLOAD EBOOK

Signal Processing for Intelligent Sensors with MATLAB®, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections: Fundamentals of Digital Signal Processing, Frequency Domain Processing, Adaptive System Identification and Filtering, Wavenumber Sensor Systems, and Signal Processing Applications. Taking an informal, application-based approach and using a tone that is more engineer-to-engineer than professor-to-student, this revamped second edition enhances many of the features that made the original so popular. This includes retention of key algorithms and development methodologies and applications, which are creatively grouped in a way that differs from most comparable texts, to optimize their use. New for the Second Edition: Inclusion of more solved problems Web access to a large collection of MATLAB® scripts used to support data graphs presented throughout the book Additional coverage of more audio engineering, transducers, and sensor networking technology A new chapter on Digital Audio processing reflects a growing interest in digital surround sound (5.1 audio) techniques for entertainment, home theaters, and virtual reality systems New sections on sensor networking, use of meta-data architectures using XML, and agent-based automated data mining and control Serving dual roles as both a learning resource and a field reference on sensor system networks, this book progressively reveals digestible nuggets of critical information to help readers quickly master presented algorithms and adapt them to meet their requirements. It illustrates the current trend toward agile development of web services for wide area sensor networking and intelligent processing in the sensor system networks that are employed in homeland security, business, and environmental and demographic information systems.


Book Synopsis Signal Processing for Intelligent Sensor Systems with MATLAB® by : David C. Swanson

Download or read book Signal Processing for Intelligent Sensor Systems with MATLAB® written by David C. Swanson and published by CRC Press. This book was released on 2011-07-21 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Intelligent Sensors with MATLAB®, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections: Fundamentals of Digital Signal Processing, Frequency Domain Processing, Adaptive System Identification and Filtering, Wavenumber Sensor Systems, and Signal Processing Applications. Taking an informal, application-based approach and using a tone that is more engineer-to-engineer than professor-to-student, this revamped second edition enhances many of the features that made the original so popular. This includes retention of key algorithms and development methodologies and applications, which are creatively grouped in a way that differs from most comparable texts, to optimize their use. New for the Second Edition: Inclusion of more solved problems Web access to a large collection of MATLAB® scripts used to support data graphs presented throughout the book Additional coverage of more audio engineering, transducers, and sensor networking technology A new chapter on Digital Audio processing reflects a growing interest in digital surround sound (5.1 audio) techniques for entertainment, home theaters, and virtual reality systems New sections on sensor networking, use of meta-data architectures using XML, and agent-based automated data mining and control Serving dual roles as both a learning resource and a field reference on sensor system networks, this book progressively reveals digestible nuggets of critical information to help readers quickly master presented algorithms and adapt them to meet their requirements. It illustrates the current trend toward agile development of web services for wide area sensor networking and intelligent processing in the sensor system networks that are employed in homeland security, business, and environmental and demographic information systems.

Signal Processing for Intelligent Sensor Systems with MATLAB, Second Edition

Signal Processing for Intelligent Sensor Systems with MATLAB, Second Edition

Author: David C. Swanson

Publisher: CRC Press

Published: 2012

Total Pages: 686

ISBN-13: 1420043056

DOWNLOAD EBOOK

Building on the unique features that made the first edition a bestseller, this second edition includes additional solved problems and web access to the large collection of MATLABTM scripts that are highlighted throughout the text. The book offers expanded coverage of audio engineering, transducers, and sensor networking technology. It also includes new chapters on digital audio processing, as well as acoustics and vibrations transducers. The text addresses the use of meta-data architectures using XML and agent-based automated data mining and control. The numerous algorithms presented can be applied locally or network-based to solve complex detection problems.


Book Synopsis Signal Processing for Intelligent Sensor Systems with MATLAB, Second Edition by : David C. Swanson

Download or read book Signal Processing for Intelligent Sensor Systems with MATLAB, Second Edition written by David C. Swanson and published by CRC Press. This book was released on 2012 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on the unique features that made the first edition a bestseller, this second edition includes additional solved problems and web access to the large collection of MATLABTM scripts that are highlighted throughout the text. The book offers expanded coverage of audio engineering, transducers, and sensor networking technology. It also includes new chapters on digital audio processing, as well as acoustics and vibrations transducers. The text addresses the use of meta-data architectures using XML and agent-based automated data mining and control. The numerous algorithms presented can be applied locally or network-based to solve complex detection problems.

Signal Processing for Intelligent Sensor Systems with MATLAB

Signal Processing for Intelligent Sensor Systems with MATLAB

Author: David C. Swanson

Publisher: CRC Press

Published: 2011-07-21

Total Pages: 645

ISBN-13: 1439896283

DOWNLOAD EBOOK

Signal Processing for Intelligent Sensors with MATLAB, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections:


Book Synopsis Signal Processing for Intelligent Sensor Systems with MATLAB by : David C. Swanson

Download or read book Signal Processing for Intelligent Sensor Systems with MATLAB written by David C. Swanson and published by CRC Press. This book was released on 2011-07-21 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Intelligent Sensors with MATLAB, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections:

Signal Processing for Intelligent Sensor Systems

Signal Processing for Intelligent Sensor Systems

Author: David C. Swanson

Publisher: CRC Press

Published: 2000-04-18

Total Pages: 636

ISBN-13: 9780203909959

DOWNLOAD EBOOK

"Integrates a broad range of physics, algorithms, and sensing techniques for development of intelligent systems. Highlights adaptive least-squared error modeling. Covers complex sampling, physical system modeling using digital filters, frequency domain processing, beamforming, and much more."


Book Synopsis Signal Processing for Intelligent Sensor Systems by : David C. Swanson

Download or read book Signal Processing for Intelligent Sensor Systems written by David C. Swanson and published by CRC Press. This book was released on 2000-04-18 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Integrates a broad range of physics, algorithms, and sensing techniques for development of intelligent systems. Highlights adaptive least-squared error modeling. Covers complex sampling, physical system modeling using digital filters, frequency domain processing, beamforming, and much more."

Intelligent Sensor Systems,

Intelligent Sensor Systems,

Author: John Brignell

Publisher: CRC Press

Published: 1996

Total Pages: 284

ISBN-13:

DOWNLOAD EBOOK

This revised edition, issued in paperback, has been expanded to include exercises to reinforce the student's understanding of the concepts introduced. Whilst research continues to advance, the authors' fundamental approach, and their systematic treatment of the issues required to understand this fast-developing, multi-disciplinary field, will ensure that this book is required reading not only for sensor engineers designing intelligent sensor systems but also serves as a course text for graduate students specialising in instrumentation, and those in the final year of relevant undergraduate physics, electronics and other engineering first degrees.


Book Synopsis Intelligent Sensor Systems, by : John Brignell

Download or read book Intelligent Sensor Systems, written by John Brignell and published by CRC Press. This book was released on 1996 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This revised edition, issued in paperback, has been expanded to include exercises to reinforce the student's understanding of the concepts introduced. Whilst research continues to advance, the authors' fundamental approach, and their systematic treatment of the issues required to understand this fast-developing, multi-disciplinary field, will ensure that this book is required reading not only for sensor engineers designing intelligent sensor systems but also serves as a course text for graduate students specialising in instrumentation, and those in the final year of relevant undergraduate physics, electronics and other engineering first degrees.

Intelligent Sensor Networks

Intelligent Sensor Networks

Author: Fei Hu

Publisher: CRC Press

Published: 2012-12-15

Total Pages: 676

ISBN-13: 1439892814

DOWNLOAD EBOOK

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.


Book Synopsis Intelligent Sensor Networks by : Fei Hu

Download or read book Intelligent Sensor Networks written by Fei Hu and published by CRC Press. This book was released on 2012-12-15 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.

Anywhere-Anytime Signals and Systems Laboratory

Anywhere-Anytime Signals and Systems Laboratory

Author: Nasser Kehtarnavaz

Publisher: Springer Nature

Published: 2018-11-06

Total Pages: 267

ISBN-13: 3031025393

DOWNLOAD EBOOK

A typical undergraduate electrical engineering curriculum incorporates a signals and systems course. The widely used approach for the laboratory component of such courses involves the utilization of MATLAB to implement signals and systems concepts. This lecture series book presents a newly developed laboratory paradigm where MATLAB codes are made to run on smartphones, which most students already possess. This smartphone-based approach enables an anywhere-anytime platform for students to conduct signals and systems experiments. This book covers the laboratory experiments that are normally covered in signals and systems courses and discusses how to run MATLAB codes for these experiments on both Android and iOS smartphones, thus enabling a truly mobile laboratory environment for students to learn the implementation aspects of signals and systems concepts. A zipped file of the codes discussed in the book can be acquired via the website.


Book Synopsis Anywhere-Anytime Signals and Systems Laboratory by : Nasser Kehtarnavaz

Download or read book Anywhere-Anytime Signals and Systems Laboratory written by Nasser Kehtarnavaz and published by Springer Nature. This book was released on 2018-11-06 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: A typical undergraduate electrical engineering curriculum incorporates a signals and systems course. The widely used approach for the laboratory component of such courses involves the utilization of MATLAB to implement signals and systems concepts. This lecture series book presents a newly developed laboratory paradigm where MATLAB codes are made to run on smartphones, which most students already possess. This smartphone-based approach enables an anywhere-anytime platform for students to conduct signals and systems experiments. This book covers the laboratory experiments that are normally covered in signals and systems courses and discusses how to run MATLAB codes for these experiments on both Android and iOS smartphones, thus enabling a truly mobile laboratory environment for students to learn the implementation aspects of signals and systems concepts. A zipped file of the codes discussed in the book can be acquired via the website.

Digital Signal Processing with Examples in MATLAB®, Second Edition

Digital Signal Processing with Examples in MATLAB®, Second Edition

Author: Samuel D. Stearns

Publisher: CRC Press

Published: 2011-04-04

Total Pages: 0

ISBN-13: 9781439837825

DOWNLOAD EBOOK

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communications, geophysics, computer science, information technology, medicine, and biometrics. Updated and expanded, Digital Signal Processing with Examples in MATLAB®, Second Edition introduces the basic aspects of signal processing and presents the fundamentals of DSP. It also relates DSP to continuous signal processing, rather than treating it as an isolated operation. New to the Second Edition Discussion of current DSP applications New chapters on analog systems models and pattern recognition using support vector machines New sections on the chirp z-transform, resampling, waveform reconstruction, discrete sine transform, and logarithmic and nonuniform sampling A more comprehensive table of transforms Developing the fundamentals of DSP from the ground up, this bestselling text continues to provide readers with a solid foundation for further work in most areas of signal processing. For novices, the authors review the basic mathematics required to understand DSP systems and offer a brief introduction to MATLAB. They also include end-of-chapter exercises that not only provide examples of the topics discussed, but also introduce topics and applications not covered in the chapters.


Book Synopsis Digital Signal Processing with Examples in MATLAB®, Second Edition by : Samuel D. Stearns

Download or read book Digital Signal Processing with Examples in MATLAB®, Second Edition written by Samuel D. Stearns and published by CRC Press. This book was released on 2011-04-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communications, geophysics, computer science, information technology, medicine, and biometrics. Updated and expanded, Digital Signal Processing with Examples in MATLAB®, Second Edition introduces the basic aspects of signal processing and presents the fundamentals of DSP. It also relates DSP to continuous signal processing, rather than treating it as an isolated operation. New to the Second Edition Discussion of current DSP applications New chapters on analog systems models and pattern recognition using support vector machines New sections on the chirp z-transform, resampling, waveform reconstruction, discrete sine transform, and logarithmic and nonuniform sampling A more comprehensive table of transforms Developing the fundamentals of DSP from the ground up, this bestselling text continues to provide readers with a solid foundation for further work in most areas of signal processing. For novices, the authors review the basic mathematics required to understand DSP systems and offer a brief introduction to MATLAB. They also include end-of-chapter exercises that not only provide examples of the topics discussed, but also introduce topics and applications not covered in the chapters.

Smart Sensor Systems

Smart Sensor Systems

Author: Gerard Meijer

Publisher: John Wiley & Sons

Published: 2008-11-26

Total Pages: 404

ISBN-13: 9780470866924

DOWNLOAD EBOOK

With contributions from an internationally-renowned group of experts, this book uses a multidisciplinary approach to review recent developments in the field of smart sensor systems, providing complete coverage of all important system and design aspects, their building blocks and methods of signal processing. It examines topics over the whole range of sensor technology from the theory and constraints of basic elements, the applied techniques and electronic, up to the level of application-orientated issues. Developed as a complementary volume to ‘Smart Sensor Systems’ (Wiley 2008), which introduces the theoretical foundations, this volume focuses on practical applications, including: State-of-the-art techniques for designing smart sensors and smart sensor systems, with measurement techniques at system level, such as collaboration and trimming, and impedance-measurement techniques. Sensing elements and sensor systems for the measurement of mechanical quantities, and microarrays for DNA detection. Circuitdesign for sensor systems, such as the design of low-noise amplifiers, and measurement techniques at device level, such as dynamic offset cancellation and optical imagers. Implantable smart sensors for bio-medical applications and automotive sensors. A supplementary website hosts case studies and a solutions manual to the problems Smart Sensor Systems: Emerging Technologies and Applications will greatly benefit final year undergraduate and postgraduate students in the areas of electrical, mechanical and chemical engineering, and physics. Professional engineers and researchers in the microelectronics industry, including microsystem developers, will also find this a thorough and useful volume.


Book Synopsis Smart Sensor Systems by : Gerard Meijer

Download or read book Smart Sensor Systems written by Gerard Meijer and published by John Wiley & Sons. This book was released on 2008-11-26 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: With contributions from an internationally-renowned group of experts, this book uses a multidisciplinary approach to review recent developments in the field of smart sensor systems, providing complete coverage of all important system and design aspects, their building blocks and methods of signal processing. It examines topics over the whole range of sensor technology from the theory and constraints of basic elements, the applied techniques and electronic, up to the level of application-orientated issues. Developed as a complementary volume to ‘Smart Sensor Systems’ (Wiley 2008), which introduces the theoretical foundations, this volume focuses on practical applications, including: State-of-the-art techniques for designing smart sensors and smart sensor systems, with measurement techniques at system level, such as collaboration and trimming, and impedance-measurement techniques. Sensing elements and sensor systems for the measurement of mechanical quantities, and microarrays for DNA detection. Circuitdesign for sensor systems, such as the design of low-noise amplifiers, and measurement techniques at device level, such as dynamic offset cancellation and optical imagers. Implantable smart sensors for bio-medical applications and automotive sensors. A supplementary website hosts case studies and a solutions manual to the problems Smart Sensor Systems: Emerging Technologies and Applications will greatly benefit final year undergraduate and postgraduate students in the areas of electrical, mechanical and chemical engineering, and physics. Professional engineers and researchers in the microelectronics industry, including microsystem developers, will also find this a thorough and useful volume.