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Digital Signal Processing with Kernel Methods

A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to;

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Financial Signal Processing and Machine Learning

market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and;

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Latent Variable Analysis and Signal Separation

. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene;

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Learning Approaches in Signal Processing

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security;

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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 and Machine Learning with Applications

their applications. It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and;

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Nonlinear Biomedical Signal Processing, Volume 1

For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the;

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Signal Processing and Machine Learning for Biomedical Big Data

alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the;

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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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Communication, Signal Processing & Information Technology

, Optical Communication, Wireless Sensor Networks, MIMO Systems, MIMO Communications, Signal Processing for Communications e-Learning. Digital;

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Intelligent Sensor Networks

intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration;

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Intelligent Sensor Networks

intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration;

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Signal Processing for Cognitive Radios

, classification, adaptive algorithms (machine learning), and inference and decision processes. Applications to the signal processing, inference and;

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Signal Detection Theory

in science and engineering. New approaches and problems of such complexity study allows the development of a better quality of signal detection;

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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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Advances in Machine Learning and Signal Processing

This book presents important research findings and recent innovations in the field of machine learning and signal processing. A wide range;

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Machine Intelligence and Signal Processing

in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The;

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Multiscale Signal Analysis and Modeling

Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This;

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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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Biomedical Signal Processing

This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection;

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Soft Computing and Signal Processing

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third;

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Soft Computing and Signal Processing

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third;

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Signal Processing Approaches to Secure Physical Layer Communications in Multi-Antenna Wireless Systems

This book introduces various signal processing approaches to enhance physical layer secrecy in multi-antenna wireless systems. Wireless;

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New Approaches for Multidimensional Signal Processing

This book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP;

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Pattern Recognition and Machine Intelligence

reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning;

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Pattern Recognition and Machine Intelligence

reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning;

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Soft Computing and Signal Processing

The book presents selected research papers on current developments in the field of soft computing and signal processing from the;

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