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Fundamentals of Signal Processing in Metric Spaces with Lattice Properties

Exploring the interrelation between information theory and signal processing theory, the book contains a new algebraic approach to signal;

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Optimal Combining and Detection

With signal combining and detection methods now representing a key application of signal processing in communication systems, this book;

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Digital Signal and Image Processing using MATLAB, Volume 3

Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB, after first two volumes;

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Linear Circuits: Systems and Signal Processing

filters, in Japan. It considers rational approximations in circuit and system theory and deals with the digital lattice filters used in digital;

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Linear Circuits: Systems and Signal Processing

filters, in Japan. It considers rational approximations in circuit and system theory and deals with the digital lattice filters used in digital;

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Introduction to the Analysis of Metric Spaces

detail before general topology is begun, though topological properties of metric spaces are explored in the book. Graded exercises are provided;

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Linear Algebra for Quantum Theory

-adjoint operators in a space of indefinite metric, binary product spaces with a positive definite metric, properties of the Hilbert space, and;

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Fundamentals of Signal Enhancement and Array Signal Processing

signal processing in an accessible manner * Offers an updated and relevant treatment of array signal processing with rigor and concision;

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Fundamentals of Acoustic Field Theory and Space-Time Signal Processing

propagation as well as the fundamentals of aperture theory, array theory, and signal processing. Starting with principles and using a consistent;

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Single Channel PhaseAware Signal Processing in Speech Communication

the existing signal processing techniques required to deal with phase information in different applications involved with speech. * The book;

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Digital Signal Processing Fundamentals

to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals;

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Digital Signal Processing Fundamentals

to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals;

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Fundamentals of Radar Signal Processing, Third Edition

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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Real Variables with Basic Metric Space Topology

. Topics include metric spaces, Euclidean spaces and their basic topological properties, sequences and series of real numbers, continuous functions;

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Multidimensional Signal and Color Image Processing Using Lattices

further develops the theory of multi-D signal processing wherein input and output are vector-value signals. With this framework, he introduces the;

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Defect Structure and Properties of Nanomaterials

that have taken place in recent years. Nanostructured materials exhibit unique mechanical and physical properties compared with;

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Digital Signal Processing Algorithms

discussed and illustrated with examples. Its comprehensive coverage of digital signal processing, computer arithmetic, and coding theory makes;

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Optical Signal Processing

undergraduate or first year graduate level textbook and a reference for professionals working in the field, Optical Signal Processing begins with a;

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Signal And Image Processing Sourcebook

Comprehensive and packed with practical examples, Signal and Image Processing Sourcebook is your complete guide to the rapidly-expanding;

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Groupoid Metrization Theory

, analysis on spaces of homogeneous type, topology, and quasi-metric geometry. The presentation is self-contained with complete, detailed proofs, and;

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Advanced Signal Processing

any online entitlements included with the product. A no-nonsense guide to the fundamentals and applications of statistical signal;

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Digital Signal Processing With Examples In Matlab

useful for extracting information from signals collected all around us. Combined with today's powerful computing capabilities, they can be used;

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Homology of Normal Chains and Cohomology of Charges

which satisfy the Eilenberg-Steenrod axioms, but reflect the metric properties of the underlying spaces. As an example they show that the zero;

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Random Signal Processing

density and power spectral density. The properties of random processes and signal modelling are discussed with basic communication theory;

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Random Signal Processing

density and power spectral density. The properties of random processes and signal modelling are discussed with basic communication theory;

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Adaptive IIR Filtering in Signal Processing and Control

Integrates rational approximation with adaptive filtering, providing viable, numerically reliable procedures for creating adaptive infinite;

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Fundamentals of Signal Processing for Sound and Vibration Engineers

Fundamentals of Signal Processing for Sound and Vibration Engineers is based on Joe Hammond's many years of teaching experience at the;

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