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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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Event-Based Control and Signal Processing

increasingly networked, wireless, and spatially distributed. Event-Based Control and Signal Processing examines the event-based paradigm in control;

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Event-Based Control and Signal Processing

increasingly networked, wireless, and spatially distributed. Event-Based Control and Signal Processing examines the event-based paradigm in control;

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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 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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Signal Processing in Radar Systems

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the;

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Signal Processing in Radar Systems

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the;

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Multimedia Signal Processing

, medical signal processing, financial data forecasting, artificial intelligence, decision making, control systems and search engines. This book;

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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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Linear Estimation and Detection in Krylov Subspaces

between statistical signal processing and numerical mathematics is presented. In the second part, the theory is applied to iterative multiuser;

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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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Advanced Digital Signal Processing and Noise Reduction

of statistical signal processing and noise reduction methods. * Two new chapters on MIMO systems, correlation and Eigen analysis and independent;

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Unsupervised Signal Processing

methods to novel approaches based on machine learning and bio-inspired algorithms. From the foundations of statistical and adaptive signal;

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Cooperative and Graph Signal Processing

latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control;

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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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Multiscale Signal Analysis and Modeling

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

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Bioelectrical Signal Processing in Cardiac and Neurological Applications

potentials, EMG) Covers both classical and recent signal processing techniques Emphasis on model-based statistical signal;

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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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Statistical Signal Processing

statistical and computational methods involved. Signal processing can broadly be considered to be the recovery of information from physical;

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Statistical Signal Processing

statistical and computational methods involved. Signal processing can broadly be considered to be the recovery of information from physical;

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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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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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Advanced Signal Processing and Digital Noise Reduction

of stochastic signal processing. The chapter begins with an introduction to random signals, stochastic processes, probabilistic models and statistical;

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Control and Signal Processing Applications for Mobile and Aerial Robotic Systems

. Specificity is required regarding the research and development of android systems and how they pertain to modern science. Control and Signal;

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Control and Signal Processing Applications for Mobile and Aerial Robotic Systems

. Specificity is required regarding the research and development of android systems and how they pertain to modern science. Control and Signal;

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Advanced Methods of Biomedical Signal Processing

This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the;

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ModelBased Processing

actual applications Enables readers to bridge the gap from statistical signal processing to subspace identification Includes appendices;

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