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, etc. A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing;
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the following parts: Signals and Systems; Signal Representation and Quantization; Fourier Transforms; Digital Filtering; Statistical Signal;
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the following parts: Signals and Systems; Signal Representation and Quantization; Fourier Transforms; Digital Filtering; Statistical Signal;
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Exploring the interrelation between information theory and signal processing theory, the book contains a new algebraic approach to signal;
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Multirate Statistical Signal Processing introduces a statistical theory for extracting information from related signals with different;
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A problem-solving approach to statistical signal processing for practicing engineers, technicians, and graduate students This book takes a;
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work documents developments in statistical modelling, identification, estimation and signal processing. It also covers such topics as subspace;
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fundamentals of statistical signal processing are also covered, with two chapters dedicated to important background material. With a carefully balanced;
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, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and;
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, Signal Representation and Quantization, Fourier Transforms, Digital Filtering, Statistical Signal Processing, Adaptive Filtering, Inverse;
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the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal;
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Providing a wealth of information on fundamental topics in the areas of linear air and underwater acoustics, as well as space-time signal;
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digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables;
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digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables;
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range of important topics are covered in basic signal processing, model-based statistical signal processing and their applications. Part 1;
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A comprehensive guide to the theory and practice of signal enhancement and array signal processing, including matlab codes, exercises and;
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of statistical signal processing and noise reduction methods. * Two new chapters on MIMO systems, correlation and Eigen analysis and independent;
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Comprehensive and packed with practical examples, Signal and Image Processing Sourcebook is your complete guide to the rapidly-expanding;
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Your cutting-edge introduction to radar signal processing-fully updated for the latest advances This up-to-date guide provides in-depth;
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A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the;
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This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to;
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This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to;
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An overview on the challenging new topic of phase-aware signal processing Speech communication technology is a key factor in human-machine;
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differs fundamentally from the classical approach to statistical signal processing in that the input--output behavior of a complex system;
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of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both;
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integral tables, formulas of algebra, formulas of trigonometry - the text includes: Material for the deterministic and statistical signal;
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