Adaptive Filtering: Principles, Concepts and Applications

Md. Zia Ur Rahman, Ph.D. (Editor)
Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, A.P., India

Series: Electronics and Telecommunications Research
BISAC: TEC008000

Clear

$160.00

eBook

Digitally watermarked, DRM-free.
Immediate eBook download after purchase.

Product price
Additional options total:
Order total:

Quantity:

Details

This book titled Adaptive Filtering: Principles, Concepts and Applications covers principles, concepts and applications of adaptive filtering. The development of adaptive filtering started in 1976 and widely developed over different application areas. It is certainly not our ambition to cover everything of adaptive filtering principles and applications. Rather, this edited book features the latest methodological, technical and practical progress on promoting the successful use of adaptive filtering principles and applications, which are more useful in the current day scenario.

The book contains ten chapters contributed by the experts in the area of adaptive filtering throughout the world. The various applications addressed are MIMO receivers, adaptive exon prediction for DNA analysis, beam steering for smart antennas for mobile applications, telecardiology systems, physiological signal analysis, brain computer interface applications, speech signal conditioning, filtering thoracic electrical bio-impedance, and inter symbol interference cancellation in wireless communication systems. The intended audience of this book will mainly consist of researchers, research students and practitioners in adaptive filtering and applications. The book is also of interest to researchers and industrial practitioners in areas such as algorithm developers, biomedical engineering, biomedical instrumentation, VLSI circuits design, and embedded systems. This edited book will present research outcomes on theoretical and technical issues related to real time applications.

Preface

Chapter 1. Sparse Adaptive Filter Algorithms with p-Norm-Like Regularization
(Feiyun Wu and Jie Chen, School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China)

Chapter 2. Efficient Adaptive Filtering Techniques Using MIMO Equalization for High-Speed Mode Multiplexed Coherent Receivers
(Yi Weng, Xuan He, Junyi Wang and Zhongqi Pan, Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, Lafayette, LA, US)

Chapter 3. Novel and Efficient Adaptive Exon Prediction for DNA Analysis
(P. Srinivasareddy and Nagireddy Putluri, Department of Electronics and Communication Engineering,
K. L. University, Vaddeswaram, Guntur, Andhra Pradesh, India, and others)

Chapter 4. Simplified Adaptive Beam Steering Techniques for Mobile Applications Using Sign Based Normalization
(Shakira Bhanu, Department of Electronics and Communication Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India)

Chapter 5. Adaptive Artifact Elimination in ECG Signals for Telecardiology Systems
(Asiya Sulthana and Krishna Chaitanya Patchava, Department of Electronics and Communication Engineering, Balaji Institute of Technology and Sciences, Narsampeta, Warangal, India, and others)

Chapter 6. Modified Non-Negative Adaptive Algorithms for Physiological Signal Analysis
(Md Nizamuddin Salman and P. Trinatha Rao, Department of Electronics and Communication Engineering, Aurora’s Technological & Research Institute, Uppal, Hyderabad, India, and others)

Chapter 7. Analysis of EEG Signals in Brain Computer Interface Applications
(Shaik Yasmin Fathima and M. V. D. Prasad, Department of Electronics and Communication Engineering, K L University, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India)

Chapter 8. Speech Signal Conditioning for Mobile Applications Using Adaptive Filters
(Jyoshna Girika and Navarun Guptha, Department of Electronics and Communication Engineering, Sri Krishna Devaraya University, Ananthapur, India, and others)

Chapter 9. Filtering Thoracic Electrical Bio-Impedance Using Adaptive Algorithms
(Department of Electronics and Communication Engineering, Eswar College of Engineering, Narasaraopeta, Andhra Pradesh, India, and others)

Chapter 10. Inter Symbol Interference Cancellation Using Variable Step Size Adaptive Algorithms
(K. Murali Krishna and Shaik Yasmin Fathima, Department of Electronics & Communication Engineering, K L University, Vaddeswaram, Guntur, Andhra Pradesh, India)

Index

Keywords: Artifacts, Adaptive Noise Cancellation, Biotelemetry, Computational Complexity, Remote Health Care Monitoring

The intended audience of this book will mainly consist of researchers, research students and practitioners in adaptive filtering and applications. This book is also of interest to researchers and industrial practitioners in areas such as algorithm developers, biomedical engineers, biomedical instrumentation, machine learning, and artificial intelligence. This book will present research outcomes on theoretical and technical issues related to real time application.

You have not viewed any product yet.