Time Delay Estimation in Stationary and Non-stationary Environments
Time Delay Estimation in Stationary and Non-stationary Environments

Author: Mordechai Segal

Publisher:

Published: 1988

Total Pages: 668

ISBN-13:

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We develop computationally efficient iterative algorithms for finding the Maximum Likelihood estimates of the delay and spectral parameters of noise-like Gaussian signal radiated from a common point source and observed by two or more spatially separated receivers. We first consider the stationary case in which the source is stationary (not moving) and the observed signals are modeled as wide sense stationary processes. We then extend the scope by considering a non-stationary (moving) source radiating a possible non-stationary stochastic signal. In that context, we address the practical problem of estimation given discrete-time observations. We also present efficient methods for calculating the log-likelihood gradient (score), the Hessian, and the Fisher's information matrix under stationary and non-stationary conditions. Keywords: Array processing, Estimate maximize algorithm. (kr).

Learning in Non-Stationary Environments
Learning in Non-Stationary Environments

Author: Moamar Sayed-Mouchaweh

Publisher: Springer Science & Business Media

Published: 2012-04-13

Total Pages: 439

ISBN-13: 1441980202

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Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations. This approach offers a useful basis for further investigation and fresh ideas and motivates and inspires newcomers to explore this promising and still emerging field of research.

Adaptive Radar Signal Processing
Adaptive Radar Signal Processing

Author: Simon Haykin

Publisher: John Wiley & Sons

Published: 2006-11-10

Total Pages: 262

ISBN-13: 0471735825

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This collaborative work presents the results of over twenty years of pioneering research by Professor Simon Haykin and his colleagues, dealing with the use of adaptive radar signal processing to account for the nonstationary nature of the environment. These results have profound implications for defense-related signal processing and remote sensing. References are provided in each chapter guiding the reader to the original research on which this book is based.

Systems Management
Systems Management

Author: Joseph C. Hassab

Publisher: CRC Press

Published: 1997-04-01

Total Pages: 490

ISBN-13: 9780849379710

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In this revolutionary age of information systems, this book offers a unified approach to systems management that triggers greater speed of action and increases flexibility and productivity. The book presents system processes joined to computer technology for innovative management of resources for more effective attainment of goals. The traditional foundation of a system's productive power must rest on updated management processes of the system's four elements-natural resources, technology or artificial resources, natural decomposition or specialization, and work integration or exchange. Systems Management weaves through these elements within the context of the ongoing information revolution.

Advances in Information Technology and Industry Applications
Advances in Information Technology and Industry Applications

Author: Dehuai Zeng

Publisher: Springer Science & Business Media

Published: 2012-01-15

Total Pages: 730

ISBN-13: 3642260012

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With success of ICEEE 2010 in Wuhan, China, and December 4 to 5, 2010, the second International Conference of Electrical and Electronics Engineering (ICEEE 2011) will be held in Macau, China, and December 1 to 2, 2011. ICEEE is an annual conference to call together researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Electrical and Electronics Engineering along with Computer Science and Technology, Communication Technology, Artificial Intelligence, Information Technology, etc. This year ICEEE is sponsored by International Industrial Electronics Center, Hong Kong. And based on the deserved reputation, more than 750 papers have been submitted to ICEEE 2011, from which about 94 high quality original papers have been selected for the conference presentation and inclusion in the “Advanced Computer, Communication, and Control” book based on the referees’ comments from peer-refereed. All the papers will be published by Lecture Notes in Electrical Engineering (ISSN: 1876-1100), and will be included in Springer Link. We expect that the Advanced Computer, Communication, and Control book will be a trigger for further related research and technology improvements in the importance subject including Signal Processing, Retrieval and Multimedia, Artificial Intelligence, Computing and Intelligent Systems, Machine Learning, Biometric and Biomedical Applications, Neural Networks, Knowledge Discovery and Data Mining, Knowledge-based Systems, Control Systems, Modeling and Simulation Techniques, Wireless Communications, Advances in Wireless Video, etc.

Time-Varying Image Processing and Moving Object Recognition, 4
Time-Varying Image Processing and Moving Object Recognition, 4

Author: V. Cappellini

Publisher: Elsevier

Published: 1997-07-25

Total Pages: 347

ISBN-13: 0080543065

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New digital image processing and recognition methods, implementation techniques and advanced applications (television, remote sensing, biomedicine, traffic, inspection, robotics, etc.) are presented in this volume. Novel approaches (i.e. digital filters, source coding, neural networks etc.) for solving 2-D and 3-D problems are described. Many papers focus on the motion estimation and tracking recognition of moving objects. The increasingly important field of Cultural Heritage is also covered. Some papers are more theoretical or of review nature, while others contain new implementations and applications. Generally the book presents - for the above outlined area - the state of the art (theory, implementation, applications) with future trends.This book will be of interest not only to researchers, professors and students in university departments of engineering, communications, computers and automatic control, but also to engineers and managers of industries concerned with computer vision, manufacturing, automation, robotics and quality control.