Author: Lawrence Andrew O'Neill
Publisher:
ISBN:
Category : Signal processing
Languages : en
Pages : 304

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Author: Zeyu Wang
Publisher: CRC Press
ISBN: 1040030424
Category : Technology & Engineering
Languages : en
Pages : 195

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Book Description
This book systematically presents adaptive multichannel signal detection in three types of non-ideal environments, including sample-starved scenarios, signal mismatch scenarios, and noise plus subspace interference environments. The authors provide definitions of key concepts, detailed derivations of adaptive multichannel signal detectors, and specific examples for each non-ideal environment. In addition, the possible future trend of adaptive detection methods is discussed, as well as two further research points – namely, the adaptive detection algorithms based on information geometry, and the hybrid approaches that combine adaptive detection algorithms with machine learning algorithms. The book will be of interest to researchers, advanced undergraduates, and graduate students in sonar, radar signal processing, and communications engineering.

Author: Eric Edward Anderson
Publisher:
ISBN:
Category : Signal detection
Languages : en
Pages : 224

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Author: Jurij I. Ingster
Publisher:
ISBN:
Category :
Languages : en
Pages : 53

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Author: Thomas S. Alexander
Publisher: Springer Science & Business Media
ISBN: 1461249783
Category : Technology & Engineering
Languages : en
Pages : 189

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Book Description
The creation of the text really began in 1976 with the author being involved with a group of researchers at Stanford University and the Naval Ocean Systems Center, San Diego. At that time, adaptive techniques were more laboratory (and mental) curiosities than the accepted and pervasive categories of signal processing that they have become. Over the lasl 10 years, adaptive filters have become standard components in telephony, data communications, and signal detection and tracking systems. Their use and consumer acceptance will undoubtedly only increase in the future. The mathematical principles underlying adaptive signal processing were initially fascinating and were my first experience in seeing applied mathematics work for a paycheck. Since that time, the application of even more advanced mathematical techniques have kept the area of adaptive signal processing as exciting as those initial days. The text seeks to be a bridge between the open literature in the professional journals, which is usually quite concentrated, concise, and advanced, and the graduate classroom and research environment where underlying principles are often more important.

Author: Angelo Coluccia
Publisher: Artech House
ISBN: 1630819018
Category : Technology & Engineering
Languages : en
Pages : 235

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Book Description
This book shows you how to adopt data-driven techniques for the problem of radar detection, both per se and in combination with model-based approaches. In particular, the focus is on space-time adaptive target detection against a background of interference consisting of clutter, possible jammers, and noise. It is a handy, concise reference for many classic (model-based) adaptive radar detection schemes as well as the most popular machine learning techniques (including deep neural networks) and helps you identify suitable data-driven approaches for radar detection and the main related issues. You’ll learn how data-driven tools relate to, and can be coupled or hybridized with, traditional adaptive detection statistics; understand fundamental concepts, schemes, and algorithms from statistical learning, classification, and neural networks domains. The book also walks you through how these concepts and schemes have been adapted for the problem of radar detection in the literature and provides you with a methodological guide for the design, illustrating different possible strategies. You’ll be equipped to develop a unified view, under which you can exploit the new possibilities of the data-driven approach even using simulated data. This book is an excellent resource for Radar professionals and industrial researchers, postgraduate students in electrical engineering and the academic community.

Author: Zahir M. Hussain
Publisher: Springer Science & Business Media
ISBN: 364215591X
Category : Technology & Engineering
Languages : en
Pages : 361

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Book Description
In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production. Part II considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis. Part III presents some selected advanced DSP topics.

Author: Yuanwei Jin
Publisher:
ISBN:
Category :
Languages : en
Pages : 372

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Book Description

Author: Xian-Da Zhang
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110475669
Category : Technology & Engineering
Languages : en
Pages : 457

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Book Description
The book systematically introduces theories of frequently-used modern signal processing methods and technologies, and focuses discussions on stochastic signal, parameter estimation, modern spectral estimation, adaptive filter, high-order signal analysis and non-linear transformation in time-domain signal analysis. With abundant exercises, the book is an essential reference for graduate students in electrical engineering and information science.

Author: Widrow
Publisher: Pearson Education India
ISBN: 9788131705322
Category :
Languages : en
Pages : 496

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Book Description