Advanced electromagnetic theory / Arnab Rai Choudhuri

Public ISBD Titre : Advanced electromagnetic theory Type de document : texte imprimé Auteurs : Arnab Rai Choudhuri, Auteur Editeur : Netherlands : Springer Année de publication : 2022 Collection : Lecture Notes in Phsics num. Vol.10092 Importance : 302 Présentation : couv. ill. en en coul Format : 24 cm. ISBN/ISSN/EAN : 978-981-19594-3-1 Langues : Anglais (eng) Catégories : ELECTROTECHNIQUE Index. décimale : 10-06 Electromagnétisme Résumé : This textbook provides a comprehensive one-semester course on advanced electromagnetic theory written from the modern perspective covering all important topics that a professional physicist needs to know. Starting from Maxwell's equations, electrostatics and magnetostatics, this book goes on to discuss such topics as relativistic electrodynamics, emission of electromagnetic radiation and plasma physics. It contains solved examples and exercises for students to highlight the concepts in each chapter. Note de contenu : Contents 1. Introduction 2. Electrostatics 3. Magnetostatics 4. Electrodynamics and Electromagnetic Waves 5. Relativity and Electrodynamics 6. Electrodynamics Fields of time-varying sources 7. Emission of Electromagnetic Radiation 8. Basics of Plasma Physics and Magnetohydrodynamics -Exercises Appendix A: a short note gaussian units Appendix B: useful vector relations Appendix C: formulae and equations in cylindrical and sphericam coordinates Suggestions for further reading -INDEX Advanced electromagnetic theory [texte imprimé] / Arnab Rai Choudhuri, Auteur . - Netherlands : Springer, 2022 . - 302 : couv. ill. en en coul ; 24 cm.. - (Lecture Notes in Phsics; Vol.10092) . ISBN : 978-981-19594-3-1 Langues : Anglais (eng) Catégories : ELECTROTECHNIQUE Index. décimale : 10-06 Electromagnétisme Résumé : This textbook provides a comprehensive one-semester course on advanced electromagnetic theory written from the modern perspective covering all important topics that a professional physicist needs to know. Starting from Maxwell's equations, electrostatics and magnetostatics, this book goes on to discuss such topics as relativistic electrodynamics, emission of electromagnetic radiation and plasma physics. It contains solved examples and exercises for students to highlight the concepts in each chapter. Note de contenu : Contents 1. Introduction 2. Electrostatics 3. Magnetostatics 4. Electrodynamics and Electromagnetic Waves 5. Relativity and Electrodynamics 6. Electrodynamics Fields of time-varying sources 7. Emission of Electromagnetic Radiation 8. Basics of Plasma Physics and Magnetohydrodynamics -Exercises Appendix A: a short note gaussian units Appendix B: useful vector relations Appendix C: formulae and equations in cylindrical and sphericam coordinates Suggestions for further reading -INDEX

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Biomedical sensing and analysis / Iyad Obeid

Public ISBD Titre : Biomedical sensing and analysis : signal processing in medicine and biology Type de document : texte imprimé Auteurs : Iyad Obeid, Auteur ; Joseph Picone, Auteur ; Ivan Selesnick, Auteur Editeur : Netherlands : Springer Année de publication : 2022 Importance : 204 p. Présentation : couv. ill. en en coul Format : 24 cm. ISBN/ISSN/EAN : 978-3-030-99382-5 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-10 Capteurs et mesures biomédicaux Résumé : This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), it examines the vital role signal processing plays in enabling a new generation of technology based on big data and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology. Presents an interdisciplinary look at research trends in signal processing and biomedicine; Promotes collaboration between healthcare practitioners and signal processing researchers; Includes tutorials and examples of successful applications. Note de contenu : Contents: Restriction Synthesis and DNA Restriction Site Analysis Using Machine Learning Human Detection and Biometric Authentication with Ambient Sensors Generalization of Deep Acoustic and NLP Models for Large-Scale Depression Screening TABS: Transformer Based Seizure Detection Automated Pacing Artifact Removal from Electrocardiograms -Index Biomedical sensing and analysis : signal processing in medicine and biology [texte imprimé] / Iyad Obeid, Auteur ; Joseph Picone, Auteur ; Ivan Selesnick, Auteur . - Netherlands : Springer, 2022 . - 204 p. : couv. ill. en en coul ; 24 cm. ISBN : 978-3-030-99382-5 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-10 Capteurs et mesures biomédicaux Résumé : This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), it examines the vital role signal processing plays in enabling a new generation of technology based on big data and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology. Presents an interdisciplinary look at research trends in signal processing and biomedicine; Promotes collaboration between healthcare practitioners and signal processing researchers; Includes tutorials and examples of successful applications. Note de contenu : Contents: Restriction Synthesis and DNA Restriction Site Analysis Using Machine Learning Human Detection and Biometric Authentication with Ambient Sensors Generalization of Deep Acoustic and NLP Models for Large-Scale Depression Screening TABS: Transformer Based Seizure Detection Automated Pacing Artifact Removal from Electrocardiograms -Index

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Biomedical signals based computer-aided diagnosis for neurological disorders / M. Murugappan

Public ISBD Titre : Biomedical signals based computer-aided diagnosis for neurological disorders Type de document : texte imprimé Auteurs : M. Murugappan, Auteur ; Rajamanickam Yuvaraj, Auteur Editeur : Netherlands : Springer Année de publication : 2022 Importance : 289 p. Présentation : couv. ill. en en coul Format : 24 cm. ISBN/ISSN/EAN : 978-3-030-97844-0 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-11 Traitement des biosignaux Résumé : Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders. Note de contenu : Contents Abnormal EEG Detection Using Time-Frequency Images and Convolutional Neural Network Physical Action Categorization Pertaining to Certain Neurological Disorders Using Machine Learning-Based Signal Analysis A Comparative Study on EEG Features for Neonatal Seizure Detection Hilbert Huang Transform (HHT) Analysis of Heart Rate Variability (HRV) in Recognition of Emotion in Children with Autism Spectrum Disorder (ASD) Detection of Tonic-Clonic Seizures Using Scalp EEG of Spectral Moments Investigation of the Brain Activation Pattern of Stroke Patients and Healthy Individuals During Happiness and Sadness A Novel Parametric Nonstationary Signal Model for EEG Signals and Its Application in Epileptic Seizure Detection Biomedical Signal Analysis Using Entropy Measures: A Case Study of Motor Imaginary BCI in End Users with Disability Automatic Detection of Epilepsy Using CNN-GRU Hybrid Model Catalogic Systematic Literature Review of Hardware-Accelerated Neurodiagnostic Systems Wearable Real-Time Epileptic Seizure Detection and Warning System Analysis of Intramuscular Coherence of Lower Limb Muscle Activities Usin Magnitude Squared Coherence -Index Biomedical signals based computer-aided diagnosis for neurological disorders [texte imprimé] / M. Murugappan, Auteur ; Rajamanickam Yuvaraj, Auteur . - Netherlands : Springer, 2022 . - 289 p. : couv. ill. en en coul ; 24 cm. ISBN : 978-3-030-97844-0 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-11 Traitement des biosignaux Résumé : Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders. Note de contenu : Contents Abnormal EEG Detection Using Time-Frequency Images and Convolutional Neural Network Physical Action Categorization Pertaining to Certain Neurological Disorders Using Machine Learning-Based Signal Analysis A Comparative Study on EEG Features for Neonatal Seizure Detection Hilbert Huang Transform (HHT) Analysis of Heart Rate Variability (HRV) in Recognition of Emotion in Children with Autism Spectrum Disorder (ASD) Detection of Tonic-Clonic Seizures Using Scalp EEG of Spectral Moments Investigation of the Brain Activation Pattern of Stroke Patients and Healthy Individuals During Happiness and Sadness A Novel Parametric Nonstationary Signal Model for EEG Signals and Its Application in Epileptic Seizure Detection Biomedical Signal Analysis Using Entropy Measures: A Case Study of Motor Imaginary BCI in End Users with Disability Automatic Detection of Epilepsy Using CNN-GRU Hybrid Model Catalogic Systematic Literature Review of Hardware-Accelerated Neurodiagnostic Systems Wearable Real-Time Epileptic Seizure Detection and Warning System Analysis of Intramuscular Coherence of Lower Limb Muscle Activities Usin Magnitude Squared Coherence -Index

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Enhanced radio access technologies for next generation mobile communication / Yongwan Park

Public ISBD Titre : Enhanced radio access technologies for next generation mobile communication Type de document : texte imprimé Auteurs : Yongwan Park, Auteur ; Fumiyuki Adachi, Auteur Editeur : Netherlands : Springer Année de publication : 2007 Importance : 280 p. Présentation : couv. ill. en en coul Format : 24,5 cm. ISBN/ISSN/EAN : 978-1-4020-5531-7 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-04 Traitement du signal appliqué aux télécommunications Résumé : Here is a comprehensive overview of the latest technology developments in the field Mobile Communications. This monograph focuses on the fundamentals of mobile communications technology and systems, including the history and service evolution of mobile communications and environments. Further to this, CDMA technology including spread spectrum, orthogonal and PN codes are introduced. Other important aspects include fundamentals of single carrier CDMA technologies, DS CDMA, Broadband CDMA with frequency domain equalizer, and multi-carrier CDMA technology for high speed data transmission including MC-DS/CDMA, MC-CDMA. Finally aspects of modern cellular systems such as cdma2000/1xEv-Do/1xEv-Dv and WCDMA/HSDPA are introduced and existing and developing wireless data services, such as Wi-Fi, Bluetooth, UWB, WiBro/Mobile WiMAX, and digital broadcasting services like DVB, DMB, ISDBT are described. The book is written for academics as well as IT and Communications engineers who are starting their careers and for working professionals. Note de contenu : Contents 1 Overview of Mobile Communication. 2 Radio Access Techniques. 3 Fundamentals of Single-Carrier CDMA Technologies. 4 Fundamentals of Multi-carrier CDMA Technologies. 5 CDMA2000 1X & 1X EV-DO. 6 Evolution Of The Wcdma Radio Access Technology. 7 Evolved Utra Technologies. Enhanced radio access technologies for next generation mobile communication [texte imprimé] / Yongwan Park, Auteur ; Fumiyuki Adachi, Auteur . - Netherlands : Springer, 2007 . - 280 p. : couv. ill. en en coul ; 24,5 cm. ISBN : 978-1-4020-5531-7 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-04 Traitement du signal appliqué aux télécommunications Résumé : Here is a comprehensive overview of the latest technology developments in the field Mobile Communications. This monograph focuses on the fundamentals of mobile communications technology and systems, including the history and service evolution of mobile communications and environments. Further to this, CDMA technology including spread spectrum, orthogonal and PN codes are introduced. Other important aspects include fundamentals of single carrier CDMA technologies, DS CDMA, Broadband CDMA with frequency domain equalizer, and multi-carrier CDMA technology for high speed data transmission including MC-DS/CDMA, MC-CDMA. Finally aspects of modern cellular systems such as cdma2000/1xEv-Do/1xEv-Dv and WCDMA/HSDPA are introduced and existing and developing wireless data services, such as Wi-Fi, Bluetooth, UWB, WiBro/Mobile WiMAX, and digital broadcasting services like DVB, DMB, ISDBT are described. The book is written for academics as well as IT and Communications engineers who are starting their careers and for working professionals. Note de contenu : Contents 1 Overview of Mobile Communication. 2 Radio Access Techniques. 3 Fundamentals of Single-Carrier CDMA Technologies. 4 Fundamentals of Multi-carrier CDMA Technologies. 5 CDMA2000 1X & 1X EV-DO. 6 Evolution Of The Wcdma Radio Access Technology. 7 Evolved Utra Technologies.

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FPGA implementations of neural networks / Amos R. Omondi

Public ISBD Titre : FPGA implementations of neural networks Type de document : texte imprimé Auteurs : Amos R. Omondi, Auteur ; Jagath C. Rajapakse, Auteur Editeur : Netherlands : Springer Année de publication : 2006 Importance : 360 p. Présentation : couv. ill. en en coul Format : 23,8 cm. ISBN/ISSN/EAN : 978-0-387-28485-9 Langues : Anglais (eng) Catégories : MICRO INFORMATIQUE Mots-clés : Consumer Electronics , Performance, Text, algorithms, artificial intelligence integrated circuit, metal-oxide-semiconductor transistor, static-induction transistor, tools Index. décimale : 24-03 Programmation des microsystèmes et microprocesseurs Résumé : The development of neural networks has now reached the stage where they are employed in a large variety of practical contexts. However, to date the majority of such implementations have been in software. While it is generally recognised that hardware implementations could, through performance advantages, greatly increase the use of neural networks, to date the relatively high cost of developing Application-Specific Integrated Circuits (ASICs) has meant that only a small number of hardware neurocomputers has gone beyond the research-prototype stage. The situation has now changed dramatically: with the appearance of large, dense, highly parallel FPGA circuits it has now become possible to envisage putting large-scale neural networks in hardware, to get high performance at low costs. This in turn makes it practical to develop hardware neural-computing devices for a wide range of applications, ranging from embedded devices in high-volume/low-cost consumer electronics to large-scale stand-alone neurocomputers. Not surprisingly, therefore, research in the area has recently rapidly increased, and even sharper growth can be expected in the next decade or so. Nevertheless, the many opportunities offered by FPGAs also come with many challenges, since most of the existing body of knowledge is based on ASICs (which are not as constrained as FPGAs). These challenges range from the choice of data representation, to the implementation of specialized functions, through to the realization of massively parallel neural networks; and accompanying these are important secondary issues, such as development tools and technology transfer. All these issues are currently being investigated by a large number of researchers, who start from different bases and proceed by different methods, in such a way that there is no systematic core knowledge to start from, evaluate alternatives, validate claims, and so forth. FPGA Implementations of Neural Networks aims to be a timely one that fill this gap in three ways: First, it will contain appropriate foundational material and therefore be appropriate for advanced students or researchers new to the field. Second, it will capture the state of the art, in both depth and breadth and therefore be useful researchers currently active in the field. Third, it will cover directions for future research, i.e. embryonic areas as well as more speculative ones. Note de contenu : CONTENTS 1 FPGA Neurocomputers 2 On the Arithmetic Precision for Implementing Back-Propagation Networks on FPGA: A Case Study 3 FPNA: Concepts and Properties 4 FPNA: Applications and Implementations 5 Back-Propagation Algorithm Achieving 5 Gops on the Virtex-E 6 FPGA Implementation of Very Large Associative Memories 7 FPGA Implementations of Neocognitrons 8 Self Organizing Feature Map for Color Quantization on FPGA 9 Implementation of Self-Organizing Feature Maps in Reconfigurable Hardware 10 FPGA Implementation of a Fully and Partially Connected MLP 11 FPGA Implementation of Non-Linear Predictors 12 The REMAP Reconfigurable Architecture: A Retrospective FPGA implementations of neural networks [texte imprimé] / Amos R. Omondi, Auteur ; Jagath C. Rajapakse, Auteur . - Netherlands : Springer, 2006 . - 360 p. : couv. ill. en en coul ; 23,8 cm. ISBN : 978-0-387-28485-9 Langues : Anglais (eng) Catégories : MICRO INFORMATIQUE Mots-clés : Consumer Electronics , Performance, Text, algorithms, artificial intelligence integrated circuit, metal-oxide-semiconductor transistor, static-induction transistor, tools Index. décimale : 24-03 Programmation des microsystèmes et microprocesseurs Résumé : The development of neural networks has now reached the stage where they are employed in a large variety of practical contexts. However, to date the majority of such implementations have been in software. While it is generally recognised that hardware implementations could, through performance advantages, greatly increase the use of neural networks, to date the relatively high cost of developing Application-Specific Integrated Circuits (ASICs) has meant that only a small number of hardware neurocomputers has gone beyond the research-prototype stage. The situation has now changed dramatically: with the appearance of large, dense, highly parallel FPGA circuits it has now become possible to envisage putting large-scale neural networks in hardware, to get high performance at low costs. This in turn makes it practical to develop hardware neural-computing devices for a wide range of applications, ranging from embedded devices in high-volume/low-cost consumer electronics to large-scale stand-alone neurocomputers. Not surprisingly, therefore, research in the area has recently rapidly increased, and even sharper growth can be expected in the next decade or so. Nevertheless, the many opportunities offered by FPGAs also come with many challenges, since most of the existing body of knowledge is based on ASICs (which are not as constrained as FPGAs). These challenges range from the choice of data representation, to the implementation of specialized functions, through to the realization of massively parallel neural networks; and accompanying these are important secondary issues, such as development tools and technology transfer. All these issues are currently being investigated by a large number of researchers, who start from different bases and proceed by different methods, in such a way that there is no systematic core knowledge to start from, evaluate alternatives, validate claims, and so forth. FPGA Implementations of Neural Networks aims to be a timely one that fill this gap in three ways: First, it will contain appropriate foundational material and therefore be appropriate for advanced students or researchers new to the field. Second, it will capture the state of the art, in both depth and breadth and therefore be useful researchers currently active in the field. Third, it will cover directions for future research, i.e. embryonic areas as well as more speculative ones. Note de contenu : CONTENTS 1 FPGA Neurocomputers 2 On the Arithmetic Precision for Implementing Back-Propagation Networks on FPGA: A Case Study 3 FPNA: Concepts and Properties 4 FPNA: Applications and Implementations 5 Back-Propagation Algorithm Achieving 5 Gops on the Virtex-E 6 FPGA Implementation of Very Large Associative Memories 7 FPGA Implementations of Neocognitrons 8 Self Organizing Feature Map for Color Quantization on FPGA 9 Implementation of Self-Organizing Feature Maps in Reconfigurable Hardware 10 FPGA Implementation of a Fully and Partially Connected MLP 11 FPGA Implementation of Non-Linear Predictors 12 The REMAP Reconfigurable Architecture: A Retrospective

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Hardware software co-design of a multimedia SOC platform / Sao-Jie Chen

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Practical Aspects of Embedded System Design using Microcontrollers / Jivan S. Parab

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Pulsed electric fields technology for the food industry / Javier Raso

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