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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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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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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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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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Signal Processing in Medicine and Biology

application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; 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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Advanced Methods of Biomedical Signal Processing

from biomedical signals; higher order analysis in biomedical signals; advanced methods of signal and data processing in genomics and proteomics;

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Covariance Analysis for Seismic Signal Processing

matrix analysis in the processing of geophysical signals. A background of basic linear algebra, statistics, and fundamental random signal;

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RF and Digital Signal Processing for Software-Defined Radio

introductory overview of essential SDR concepts, this book examines signal modulation techniques, RF and digital system analysis and requirements;

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Signal Processing and Machine Learning for Biomedical Big Data

undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that;

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Advances in Signal Processing

This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote;

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Advances in Signal Processing

This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote;

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Signal Processing

, video signal processing, pattern analysis, pattern recognition, artificial intelligence, decision making, control systems, and many more. In the;

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Hyperspectral Data Processing

Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and;

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Two-dimensional Signal Analysis

approach but develops the modeling of 2-D signals and proposes several data-oriented analysis techniques for dealing with them. Coverage is also;

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Complex Networks

approaches for extracting information from structural data, and advanced techniques for multiscale analysis. What makes networks complex;

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New Approaches for Multidimensional Signal Processing

computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge;

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Signal Processing with Free Software

files and elementary operations on signals and then presents the first tools to signal analysis such as temporal and frequency characteristics;

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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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Singular Spectrum Analysis of Biomedical Signals

technology, particularly in measuring and assessing signals and images from the human body. This book focuses on singular spectrum analysis (SSA), an;

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Singular Spectrum Analysis of Biomedical Signals

technology, particularly in measuring and assessing signals and images from the human body. This book focuses on singular spectrum analysis (SSA), an;

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Signal Processing and Networking for Big Data Applications

This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents;

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Signal Processing for Neuroscientists

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students;

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Nonlinear Signal and Image Processing

class design, and signal analysis. The remaining chapters explore nonlinear approaches across the broad spectrum of applications with signal;

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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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Signals and Images

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines;

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