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E-raamat: Multidimensional Systems Signal Processing Algorithms and Application Techniques: Advances in Theory and Applications

Series edited by (University of California, Los Angeles, U.S.A.)
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Presents recent research in multidimensional systems signal processing algorithms and application techniques, for students, researchers, and professionals in computer science and engineering. Describes aspects of the field including knowledge-based signal/image processing techniques and their application in geophysical image interpretation; nearfield acoustic holography; unified bias analysis of subspace-based DOA estimation algorithms; detection algorithms for underwater acoustic transients; and techniques in the application of chaos theory in signal and image processing. Annotation c. by Book News, Inc., Portland, Or.

Praise for the Series
"This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory."
--IEEE Group Correspondence
"This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control."
--Control

Arvustused

"This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory." --IEEE GROUP CORRESPONDENCE

"This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control." --CONTROL

I. Pitas, C. Kotropoulos, and A.N. Venetsanopoulos, Techniques in
Knowledge-Based Signal/Image Processing and Their Application in Geophysical
Image Interpretation. D.D. Bennink and F.D. Groutage, The Foundations
ofNearfield Acoustic Holography in Terms of Direct and Inverse Diffraction.
P.A. Stubberud, A Design Technique for 2-D Linear Phase Frequency Sampling
Filters with Fourfold Symmetry. F. Li and Y. Lu, Unified Bias Analysis of
Subspace-Based DOAEstimation Algorithms. P.R. White, Detection Algorithms for
Underwater Acoustic Transients. J. Yang and M. Smith, Constrained and
Adaptive ARMA Modeling as an Alternative to the DFT--with Application to MRI.
J. Ghosh, K. Tumer, S. Beck, andL. Deuser, Integration of Neural Classifiers
for Passive Sonar Signals. W.S. Gan, Techniques in the Application of Chaos
Theory in Signal and Image Processing. Subject Index.
Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.