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Statistical Signal Processing in Engineering

A problem-solving approach to statistical signal processing for practicing engineers, technicians, and graduate students This book takes a;

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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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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 Signal Processing for Neuroscience and Neurotechnology

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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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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Intelligent Signal Processing

differs fundamentally from the classical approach to statistical signal processing in that the input--output behavior of a complex system;

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An Introduction to Statistical Signal Processing

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 Introduction to Statistical Signal Processing

This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to;

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Signal Processing in Medicine and Biology

This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing;

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Handbook of Formulas and Tables for Signal Processing

integral tables, formulas of algebra, formulas of trigonometry - the text includes: Material for the deterministic and statistical signal;

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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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Multiscale Signal Analysis and Modeling

, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and;

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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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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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Multirate Statistical Signal Processing

Multirate Statistical Signal Processing introduces a statistical theory for extracting information from related signals with different;

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Data Analytics for Drilling Engineering

This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to;

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Data Analytics for Drilling Engineering

This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to;

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Advanced Digital Signal Processing of Seismic Data

-conventional sampling techniques. The final part covers statistical seismic signal processing via Wiener optimum filtering, deconvolution, linear;

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Advances in Antenna, Signal Processing, and Microelectronics Engineering

, signal processing, and microelectronics engineering. Providing an interdisciplinary platform, it brings together leading academicians, scientists;

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Digital Signal Processing

A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the;

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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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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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Multimedia Signal Processing

range of important topics are covered in basic signal processing, model-based statistical signal processing and their applications. Part 1;

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Wavelets and Signal Processing

study and research in the rapidly growing areas of wavelets, wavelet transforms, signal analysis, and signal and image processing. Ideal;

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Bootstrap Techniques for Signal Processing

The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a;

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