The HOS for Blind Identification and Equalization of Systems
| Author | : Mohammed Zidane |
| Publisher | : |
| Total Pages | : 80 |
| Release | : 2016-12-29 |
| Genre | : |
| ISBN | : 9783330012059 |
The Hos For Blind Identification And Equalization Of Systems
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Blind Equalization and System Identification
| Author | : Chong-Yung Chi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 479 |
| Release | : 2006-05-20 |
| Genre | : Technology & Engineering |
| ISBN | : 1846282187 |
The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system identification. There have been many algorithms developed for these purposes, working with one- or two-dimensional signals and with single-input single-output or multiple-input multiple-output, real or complex systems. It is now time for a unified treatment of this subject, pointing out the common characteristics of these algorithms as well as learning from their different perspectives. "Blind Equalization and System Identification" provides such a unified treatment presenting theory, performance analysis, simulation, implementation and applications. This is a textbook for graduate courses in discrete-time random processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and engineers working in digital communications, source separation, speech processing, and other, similar applications.
Blind Equalization and Identification
| Author | : Zhi Ding |
| Publisher | : CRC Press |
| Total Pages | : 418 |
| Release | : 2018-10-08 |
| Genre | : Technology & Engineering |
| ISBN | : 1482270730 |
This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. The authors also address concepts and principles of blind algorithms for single input multiple output (SIMO) systems and multi-user extensions of SIMO equalization and identification.
Blind Identification of Structured Dynamic Systems
| Author | : Chengpu Yu |
| Publisher | : Springer Nature |
| Total Pages | : 273 |
| Release | : 2021-11-22 |
| Genre | : Technology & Engineering |
| ISBN | : 9811675740 |
This book is intended for researchers active in the field of (blind) system identification and aims to provide new identification ideas/insights for dealing with challenging system identification problems. It presents a comprehensive overview of the state-of-the-art in the area, which would save a lot of time and avoid collecting the scattered information from research papers, reports and unpublished work. Besides, it is a self-contained book by including essential algebraic, system and optimization theories, which can help graduate students enter the amazing blind system identification world with less effort.
Chaotic Signal Processing
| Author | : Henry Leung |
| Publisher | : SIAM |
| Total Pages | : 189 |
| Release | : 2013-12-05 |
| Genre | : Science |
| ISBN | : 1611973260 |
Chaos is a deterministic random phenomenon. Many signal processes (e.g., radar and sonar) have a random appearance, and chaos provides an alternative approach to processing these signals. This book presents up-to-date research results on chaotic signal processing, including the application of nonlinear dynamics to radar target recognition, an exactly solvable chaos approach for communications, a chaotic approach for reconfigurable computing, system identification using chaos, design of a high resolution LADAR system based on chaos, and the use of chaos in compressive sensing.
Hybrid Information Systems
| Author | : Ajith Abraham |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 756 |
| Release | : 2002-08-06 |
| Genre | : Computers |
| ISBN | : 9783790814804 |
Hybrid intelligent systems are becoming a very important problem-solving methodology affecting researchers and practitioners in areas ranging from science and technology to business and commerce. This volume focuses on the hybridization of different soft computing technologies and their interactions with hard computing techniques, other intelligent computing frameworks, and agents. Topics covered include: genetic-neurocomputing, neuro-fuzzy systems, genetic-fuzzy systems, genetic-fuzzy neurocomputing, hybrid optimization techniques, interaction with intelligent agents, fusion of soft computing and hard computing techniques, other intelligent systems and hybrid systems applications. The different contributions were presented at the first international workshop on hybrid intelligent systems (HIS1) in Adelaide, Australia.
Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization
| Author | : Yufei Jiang |
| Publisher | : Springer |
| Total Pages | : 96 |
| Release | : 2015-12-01 |
| Genre | : Computers |
| ISBN | : 3319249843 |
This SpringerBrief investigates the performance of semi-blind independent component analysis (ICA) based equalization and carrier frequency offset estimation approaches (CFO) for a number of orthogonal frequency division multiplexing (OFDM) based wireless communication systems. It provides a comprehensive overview of the challenges of channel equalization and frequency synchronization for different wireless systems. The authors present the wireless communication channel and system models. Key existing CFO estimation methods are reviewed, along with a number of the training based and non-training based (blind) channel estimation methods. This is followed by a study of ICA and its applications to OFDM-based wireless communication systems. Later chapters provide a detailed description of recent research on semi-blind CFO estimation and ICA based equalization approaches for various wireless communication systems including multiple-input multiple-output (MIMO) OFDM and coordinated multipoint (CoMP) systems. Semi-blind CFO estimation and equalization structures provide a spectrum-efficient and high-performance solution for high speed wireless communications. This book is suitable for postgraduate students, researchers or professionals in the area of wireless communications.
Advances in Neural Networks - ISNN 2007
| Author | : Derong Liu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1238 |
| Release | : 2007-05-24 |
| Genre | : Computers |
| ISBN | : 3540723943 |
Annotation The three volume set LNCS 4491/4492/4493 constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. The 262 revised long papers and 192 revised short papers presented were carefully reviewed and selected from a total of 1.975 submissions. The papers are organized in topical sections on neural fuzzy control, neural networks for control applications, adaptive dynamic programming and reinforcement learning, neural networks for nonlinear systems modeling, robotics, stability analysis of neural networks, learning and approximation, data mining and feature extraction, chaos and synchronization, neural fuzzy systems, training and learning algorithms for neural networks, neural network structures, neural networks for pattern recognition, SOMs, ICA/PCA, biomedical applications, feedforward neural networks, recurrent neural networks, neural networks for optimization, support vector machines, fault diagnosis/detection, communications and signal processing, image/video processing, and applications of neural networks.
