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Multiscale Signal Analysis and Modeling

book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design;

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Digital and Statistical Signal Processing

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 and Statistical Signal Processing

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 with Kernel Methods

of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both;

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Multimedia Signal Processing

of digital signal processing, telecommunications and statistical data analysis. It will also be a valuable text to professional engineers;

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Advanced Digital Signal Processing and Noise Reduction

of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers;

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Digital Signal Processing Fundamentals

the following parts: Signals and Systems; Signal Representation and Quantization; Fourier Transforms; Digital Filtering; Statistical Signal;

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Digital Signal Processing Fundamentals

the following parts: Signals and Systems; Signal Representation and Quantization; Fourier Transforms; Digital Filtering; Statistical Signal;

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Signal Processing and Data Analysis

This book presents digital signal processing theories and methods and their applications in data analysis, error analysis and statistical;

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Statistical Digital Signal Processing

The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal;

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The Digital Signal Processing Handbook - 3 Volume Set

, Signal Representation and Quantization, Fourier Transforms, Digital Filtering, Statistical Signal Processing, Adaptive Filtering, Inverse;

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Signal Processing in Radar Systems

definition of signal parameters. Signal Processing in Radar Systems addresses robust signal processing problems in complex radar systems and digital;

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Signal Processing in Radar Systems

definition of signal parameters. Signal Processing in Radar Systems addresses robust signal processing problems in complex radar systems and digital;

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Statistical Signal Processing in Engineering

teaching graduate-level courses in digital and statistical signal processing methods, provides a detailed axiomatic presentation of the conceptual;

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Advanced Digital Signal Processing of Seismic Data

reservoirs and the interior structure of the Earth. This book provides an advanced overview of digital signal processing (DSP) and its applications;

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Digital Signal Processing Algorithms

Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital;

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Modern Digital Signal Processing

Intended as a text for three courses - Signals and Systems, Digital Signal Processing (DSP), and DSP Architecture - this comprehensive text;

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Digital Signal Processing

fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer;

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Communication, Signal Processing & Information Technology

Signal Processing, Multiresolution Analysis, Wavelets, Smart Antennas, Adaptive Antennas, Theory and Practice of Signal Processing, Digital;

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Fundamentals Of Statistical Signal Processing

, etc. A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing;

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Applied Signal Processing

performance of digital circuitry and processors has prompted a switch to digital signal processing techniques rather than the traditional analog ones;

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Digital Signal Processing Using MATLAB for Students and Researchers

With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and;

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Detection Theory

Using simplified notation and a practical approach, Detection Theory: Applications and Digital Signal Processing introduces the principles;

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Statistical Methods in Control & Signal Processing

work documents developments in statistical modelling, identification, estimation and signal processing. It also covers such topics as subspace;

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Unsupervised Signal Processing

presentation of unsupervised signal processing techniques-one that addresses areas including digital filters, adaptive methods, and statistical signal;

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Trends in Digital Signal Processing

, (2) Digital Filters and Transforms, which covers efficient digital filtering techniques for improving signal quality, (3) Signal Processing;

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Computer Techniques and Algorithms in Digital Signal Processing

Covers advances in the field of computer techniques and algorithms in digital signal processing. ;

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