Signal Processing For Intelligent Sensor Systems With Matlab
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Signal Processing For Intelligent Sensor Systems With Matlab
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Author : David C. Swanson
language : en
Publisher: CRC Press
Release Date : 2011-07-21
Signal Processing For Intelligent Sensor Systems With Matlab written by David C. Swanson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-21 with Computers categories.
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 With Matlab Second Edition
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Author : David C. Swanson
language : en
Publisher: CRC Press
Release Date : 2011-07-26
Signal Processing For Intelligent Sensor Systems With Matlab Second Edition written by David C. Swanson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-26 with Technology & Engineering categories.
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
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Author : David C. Swanson
language : en
Publisher: CRC Press
Release Date : 2012
Signal Processing For Intelligent Sensor Systems With Matlab Second Edition written by David C. Swanson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Technology & Engineering categories.
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 2nd Edition
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Author : David Swanson
language : en
Publisher:
Release Date : 2011
Signal Processing For Intelligent Sensor Systems With Matlab 2nd Edition written by David Swanson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
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 With Matlab Second Edition Solutions Manual
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Author : Taylor & Francis Group
language : en
Publisher:
Release Date : 2011-02-07
Signal Processing For Intelligent Sensor Systems With Matlab Second Edition Solutions Manual written by Taylor & Francis Group and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-07 with categories.
Signal Processing For Intelligent Sensor Systems
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Author : David C. Swanson
language : en
Publisher: CRC Press
Release Date : 2000-04-18
Signal Processing For Intelligent Sensor Systems written by David C. Swanson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-04-18 with Technology & Engineering categories.
"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."
Modelling Simulation And Data Analysis In Acoustical Problems
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Author : Claudio Guarnaccia
language : en
Publisher: MDPI
Release Date : 2020-06-23
Modelling Simulation And Data Analysis In Acoustical Problems written by Claudio Guarnaccia and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-23 with Science categories.
Modelling and simulation in acoustics is currently gaining importance. In fact, with the development and improvement of innovative computational techniques and with the growing need for predictive models, an impressive boost has been observed in several research and application areas, such as noise control, indoor acoustics, and industrial applications. This led us to the proposal of a special issue about “Modelling, Simulation and Data Analysis in Acoustical Problems”, as we believe in the importance of these topics in modern acoustics’ studies. In total, 81 papers were submitted and 33 of them were published, with an acceptance rate of 37.5%. According to the number of papers submitted, it can be affirmed that this is a trending topic in the scientific and academic community and this special issue will try to provide a future reference for the research that will be developed in coming years.
Adaptive Identification Of Acoustic Multichannel Systems Using Sparse Representations
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Author : Karim Helwani
language : en
Publisher: Springer
Release Date : 2014-07-25
Adaptive Identification Of Acoustic Multichannel Systems Using Sparse Representations written by Karim Helwani and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-25 with Technology & Engineering categories.
This book treats the topic of extending the adaptive filtering theory in the context of massive multichannel systems by taking into account a priori knowledge of the underlying system or signal. The starting point is exploiting the sparseness in acoustic multichannel system in order to solve the non-uniqueness problem with an efficient algorithm for adaptive filtering that does not require any modification of the loudspeaker signals. The book discusses in detail the derivation of general sparse representations of acoustic MIMO systems in signal or system dependent transform domains. Efficient adaptive filtering algorithms in the transform domains are presented and the relation between the signal- and the system-based sparse representations is emphasized. Furthermore, the book presents a novel approach to spatially preprocess the loudspeaker signals in a full-duplex communication system. The idea of the preprocessing is to prevent the echoes from being captured by the microphone array in order to support the AEC system. The preprocessing stage is given as an exemplarily application of a novel unified framework for the synthesis of sound figures. Finally, a multichannel system for the acoustic echo suppression is presented that can be used as a postprocessing stage for removing residual echoes. As first of its kind, it extracts the near-end signal from the microphone signal with a distortionless constraint and without requiring a double-talk detector.
Constructive Side Channel Analysis And Secure Design
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Author : Stefan Mangard
language : en
Publisher: Springer
Release Date : 2015-07-16
Constructive Side Channel Analysis And Secure Design written by Stefan Mangard and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-16 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop, COSADE 2015, held in Berlin, Germany, in April 2015. The 17 revised full papers presented were carefully selected from 48 submissions. the focus of this workshop was on following topics: side-channel attacks, FPGA countermeasures, timing attacks and countermeasures, fault attacks, countermeasures, and Hands-on Side-channel analysis.
Multi Sensor Image Fusion And Its Applications
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Author : Rick S. Blum
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Multi Sensor Image Fusion And Its Applications written by Rick S. Blum and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.
Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies. After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation. Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.