Advances in Signal Processing: Reviews, Book Series, Vol. 1

Advances in Signal Processing: Reviews, Book Series, Vol. 1 PDF Author: Sergey Yurish
Publisher: Lulu.com
ISBN: 8409043297
Category : Technology & Engineering
Languages : en
Pages : 550

Get Book Here

Book Description
The principles of signal processing are using widely in telecommunications, control systems, sensors, smartphones, tablets, TV, video- and photo-cameras, computers, audio systems, etc. Written by 43 experienced and well-respected experts from universities, research centres and industry from 14 countries: Argentina, Australia, Brazil, China, Ecuador, France, Japan, Poland, Portugal, Spain, Switzerland, UK, Ukraine and USA the 'Advances is Signal Processing: Reviews', Vol. 1, Book Series, contains 13 chapters from the signals and systems theory to real-world applications. The authors discuss existing issues and ways to overcome these problems as well as the new challenges arising in the field. The book concludes with methods for the efficient implementation of algorithms in hardware and software. The advantages and disadvantages of different approaches are presented in the context of practical examples.

Advances in Signal Processing: Reviews, Book Series, Vol. 1

Advances in Signal Processing: Reviews, Book Series, Vol. 1 PDF Author: Sergey Yurish
Publisher: Lulu.com
ISBN: 8409043297
Category : Technology & Engineering
Languages : en
Pages : 550

Get Book Here

Book Description
The principles of signal processing are using widely in telecommunications, control systems, sensors, smartphones, tablets, TV, video- and photo-cameras, computers, audio systems, etc. Written by 43 experienced and well-respected experts from universities, research centres and industry from 14 countries: Argentina, Australia, Brazil, China, Ecuador, France, Japan, Poland, Portugal, Spain, Switzerland, UK, Ukraine and USA the 'Advances is Signal Processing: Reviews', Vol. 1, Book Series, contains 13 chapters from the signals and systems theory to real-world applications. The authors discuss existing issues and ways to overcome these problems as well as the new challenges arising in the field. The book concludes with methods for the efficient implementation of algorithms in hardware and software. The advantages and disadvantages of different approaches are presented in the context of practical examples.

Adaptive Signal Processing

Adaptive Signal Processing PDF Author: Tülay Adali
Publisher: John Wiley & Sons
ISBN: 0470575743
Category : Science
Languages : en
Pages : 428

Get Book Here

Book Description
Leading experts present the latest research results in adaptive signal processing Recent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements. This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutting edge of its own area of specialty. It begins by addressing the problem of optimization in the complex domain, fully developing a framework that enables taking full advantage of the power of complex-valued processing. Then, the challenges of multichannel processing of complex-valued signals are explored. This comprehensive volume goes on to cover Turbo processing, tracking in the subspace domain, nonlinear sequential state estimation, and speech-bandwidth extension. Examines the seven most important topics in adaptive filtering that will define the next-generation adaptive filtering solutions Introduces the powerful adaptive signal processing methods developed within the last ten years to account for the characteristics of real-life data: non-Gaussianity, non-circularity, non-stationarity, and non-linearity Features self-contained chapters, numerous examples to clarify concepts, and end-of-chapter problems to reinforce understanding of the material Contains contributions from acknowledged leaders in the field Adaptive Signal Processing is an invaluable tool for graduate students, researchers, and practitioners working in the areas of signal processing, communications, controls, radar, sonar, and biomedical engineering.

Advances in Robotics and Automatic Control: Reviews, Vol. 1

Advances in Robotics and Automatic Control: Reviews, Vol. 1 PDF Author: Sergey Yurish
Publisher: Lulu.com
ISBN: 8409024489
Category : Technology & Engineering
Languages : en
Pages : 404

Get Book Here

Book Description
The first volume of the Advances in Robotics and Automatic Control: Reviews, Book Series started by IFSA Publishing in 2018 contains ten chapters written by 32 contributors from 9 countries: Belgium, China, Germany, India, Ireland, Japan, Serbia, Tunisia and USA. We hope that readers will enjoy this book and it can be a valuable tool for those who involved in research and development of various robots and automatic control systems.

Modern Signal Processing

Modern Signal Processing PDF Author: Daniel N. Rockmore
Publisher: Cambridge University Press
ISBN: 9780521827065
Category : Computers
Languages : en
Pages : 356

Get Book Here

Book Description
A description of the mathematical basis of signal processing, and many areas of application.

Window Functions and Their Applications in Signal Processing

Window Functions and Their Applications in Signal Processing PDF Author: K. M. M. Prabhu
Publisher: CRC Press
ISBN: 1466515848
Category : Computers
Languages : en
Pages : 405

Get Book Here

Book Description
Window functions—otherwise known as weighting functions, tapering functions, or apodization functions—are mathematical functions that are zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their Applications in Signal Processing presents an exhaustive and detailed account of window functions and their applications in signal processing, focusing on the areas of digital spectral analysis, design of FIR filters, pulse compression radar, and speech signal processing. Comprehensively reviewing previous research and recent developments, this book: Provides suggestions on how to choose a window function for particular applications Discusses Fourier analysis techniques and pitfalls in the computation of the DFT Introduces window functions in the continuous-time and discrete-time domains Considers two implementation strategies of window functions in the time- and frequency domain Explores well-known applications of window functions in the fields of radar, sonar, biomedical signal analysis, audio processing, and synthetic aperture radar

Advanced Signal Processing: A Concise Guide

Advanced Signal Processing: A Concise Guide PDF Author: Amir-Homayoon Najmi
Publisher: McGraw Hill Professional
ISBN: 1260458946
Category : Technology & Engineering
Languages : en
Pages : 353

Get Book Here

Book Description
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting school program for professionals with students from electrical engineering, physics, computer and data science, and mathematics backgrounds. It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays. Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series and image classification. Coverage includes: Mathematical structures of signal spaces and matrix factorizations linear time-invariant systems and transforms Least squares filters Random variables, estimation theory, and random processes Spectral estimation and autoregressive signal models linear prediction and adaptive filters Optimal processing of linear arrays Neural networks

Advances in Optics, Vol. 1

Advances in Optics, Vol. 1 PDF Author: Sergey Yurish
Publisher: Lulu.com
ISBN: 8469794353
Category : Technology & Engineering
Languages : en
Pages : 484

Get Book Here

Book Description
The Vol.1 devoted to various topics of optics and optic instrumentation, and contains 17 chapters written by 36 experts in the field from 15 countries: Brazil, China, Denmark, France, Germany, India, Japan, Mexico, Russia, Turkey, Slovenia, South Korea, UK, Ukraine and USA. 'Advances in Optics: Reviews' Book Series is a comprehensive study of the field of optics, which provides readers with the most up-to-date coverage of optics, photonics and lasers with a good balance of practical and theoretical aspects. Directed towards both physicists and engineers this Book Series is also suitable for audiences focusing on applications of optics. A clear comprehensive presentation makes these books work well as both a teaching resources and a reference books. The book is intended for researchers and scientists in physics and optics, in academia and industry, as well as postgraduate students.

Biomedical Signal Processing and Artificial Intelligence in Healthcare

Biomedical Signal Processing and Artificial Intelligence in Healthcare PDF Author: Walid A. Zgallai
Publisher: Academic Press
ISBN: 0128189479
Category : Technology & Engineering
Languages : en
Pages : 270

Get Book Here

Book Description
Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is covered. Biomedical Images are also introduced and processed, including segmentation, classification, and detection. This book covers different aspects of signals, from the use of hardware and software, and making use of artificial intelligence in problem solving.Dr Zgallai's book has up to date coverage where readers can find the latest information, easily explained, with clear examples and illustrations. The book includes examples on the application of signal and image processing employing artificial intelligence to Alzheimer, Parkinson, ADHD, autism, and sleep disorders, as well as ECG and EEG signals. Developments in Biomedical Engineering and Bioelectronics is a 10-volume series which covers recent developments, trends and advances in this field. Edited by leading academics in the field, and taking a multidisciplinary approach, this series is a forum for cutting-edge, contemporary review articles and contributions from key 'up-and-coming' academics across the full subject area. The series serves a wide audience of university faculty, researchers and students, as well as industry practitioners. - Coverage of the subject area and the latest advances and applications in biomedical signal processing and Artificial Intelligence - Contributions by recognized researchers and field leaders - On-line presentations, tutorials, application and algorithm examples

Advances in Optics Reviews 1

Advances in Optics Reviews 1 PDF Author: Sergey Y. Yurish Editor
Publisher: Lulu.com
ISBN: 0244423288
Category : Technology & Engineering
Languages : en
Pages : 484

Get Book Here

Book Description
ÔAdvances in Optics: ReviewsÕ Book Series is a comprehensive study of the field of optics, which provides readers with the most up-to-date coverage of optics, photonics and lasers with a good balance of practical and theoretical aspects. Directed towards both physicists and engineers this Book Series is also suitable for audiences focusing on applications of optics. A clear comprehensive presentation makes these books work well as both a teaching resources and a reference books. The book is intended for researchers and scientists in physics and optics, in academia and industry, as well as postgraduate students. The Vol.1 is devoted to various topics of optics and optic instrumentation, and contains 17 chapters written by 36 experts in the field from 15 countries: Brazil, China, Denmark, France, Germany, India, Japan, Mexico, Russia, Turkey, Slovenia, South Korea, UK, Ukraine and USA.

Statistical Signal Processing for Neuroscience and Neurotechnology

Statistical Signal Processing for Neuroscience and Neurotechnology PDF Author: Karim G. Oweiss
Publisher: Academic Press
ISBN: 0080962963
Category : Technology & Engineering
Languages : en
Pages : 441

Get Book Here

Book Description
This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems.Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience. - A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community - Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research - Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems