Items related to Advances in Heuristic Signal Processing and Applications
Synopsis
Chap. 1: Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design.- Chap. 2: Robust Reduced-Rank Adaptive LCMV Beamforming Algorithms Based on Joint Iterative Optimization of Parameters.- Chap. 3: Designing OFDM Radar Waveform for Target Detection Using Multiobjective Optimization.- Chap. 4: Multiobject Tracking using Particle Swarm Optimization on Target Interactions.- Chap. 5: A Comparative Study of Modified BBO Variants and Other Metaheuristics for Optimal Power Allocation in Wireless Sensor Networks.- Chap. 6: Joint Optimization of Detection and Tracking in Adaptive Radar Systems.- Chap. 7: Iterative Design of FIR Filters.- Chap. 8: A Metaheuristic Approach to Two-Dimensional Recursive Digital Filter Design.- Chap. 9: A Survey of Kurtosis Optimization Schemes for MISO Source Separation and Equalization.- Chap. 10: Swarm Intelligence Techniques Applied to Nonlinear Systems State Estimation.- Chap. 11: Heuristic Optimal Design of Multiplier-less Digital Filter.- Chap. 12: Hybrid Correlation-Neural Network Synergy for Gait Signal Classification.- Chap. 13: Image Denoising Using Wavelets: Application in Medical Imaging.- Chap. 14: Signal Separation with A Priori Knowledge Using Sparse Representation.- Chap. 15: Definition of a Discrete Color Monogenic Wavelet Transform.- Chap. 16: On Image Matching and Feature Tracking for Embedded Systems: State of the Art.
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About the Author
Amitava Chatterjee is an Associate Professor in the Dept. of Electrical Engineering of Jadavpur University in Kolkata, India. He teaches electrical engineering and his research interests include fuzzy control, smart instrumentation, image processing, robotics, signal processing and evolutionary optimization. He has visited overseas on prestigious scholarships and fellowships and has given invited lectures in India, Japan and France. He presently serves as an Associate Editor for several journals, including the IEEE Transactions on Vehicular Technology and the IEEE Transactions on Instrumentation and Measurement.
Hadi Nobahari is an Assistant Professor in the Dept. of Aerospace Engineering of Sharif University of Technology in Tehran, Iran. His research interests include heuristic algorithms in aerospace, intelligent guidance and control systems, cooperative guidance and navigation of swarms, trajectory optimization of flight vehicles, and multidisciplinary design optimization.
Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Créteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systèmes Intelligents (LiSSi). He has considerable teaching and research experience in the areas of signal processing, control, artificial intelligence, operations research, and optimization. He presently serves as an Associate Editor of the journal Information Sciences and the journal Engineering Applications of Artificial Intelligence.Review
From the reviews:
“This book is an edited series of chapters by different authors on recent work in signal processing. ... Each chapter concludes with its own comprehensive bibliography, so that the interested reader can dip into the book and then follow the references for more information on topics of particular interest. The book should be of interest to both practitioners and students interested in the current state of signal processing.” (J. P. E. Hodgson, Computing Reviews, February, 2014)
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