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Signal Analysis for Radio Monitoring

reader is introduced to the world of signal analysis. The book shall help a shortwave listener to identify digital radio signals. The different;

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Chipless Radio Frequency Identification Reader Signal Processing

Presents a comprehensive overview and analysis of the recent developments in signal processing for Chipless Radio Frequency Identification;

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RF and Digital Signal Processing for Software-Defined Radio

Understand the RF and Digital Signal Processing Principles Driving Software-defined Radios!Software-defined radio (SDR;

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A MATLAB-Based FM Demodulator for the Radio Broadcast Data System

. Derivations and designs are done for various blocks of the processing chain to extract the RBDS signal from the FM radio signal, to demodulate this;

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EEG/ERP Analysis

. This book explores the recent advances involved in EEG/ERP analysis for brain monitoring, details successful EEG and ERP applications, and;

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EEG/ERP Analysis

. This book explores the recent advances involved in EEG/ERP analysis for brain monitoring, details successful EEG and ERP applications, and;

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Feature Engineering and Computational Intelligence in ECG Monitoring

feedback. By doing so, it provides a snapshot of the current research at the interface between physiological signal analysis and machine learning;

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Radio Monitoring: Automated Systems and Their Components

localization of unauthorized radio emission sources in open localities, mathematical methods and algorithms for modulation of parameter measurements;

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Radio Monitoring

detailed descriptions of modern high-efficient hardware-software ARM equipment, including the equipment for detection, radio direction-finding;

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Vibration-Based Condition Monitoring of Wind Turbines

signal envelope, used for condition monitoring of drivetrains. A special emphasis is placed on wind turbines and on the fact that they work;

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Condition Monitoring and Faults Diagnosis of Induction Motors

The book covers various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and;

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Discrete-Signal Analysis And Design

A clear, step-by-step approach to practical uses of discrete-signal analysis and design, especially for communications and radio engineers;

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Singular Spectrum Analysis of Biomedical Signals

effective approach for single channel signal analysis, and its bivariate, multivariate, tensor based, complex-valued, quaternion-valued and robust;

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Singular Spectrum Analysis of Biomedical Signals

effective approach for single channel signal analysis, and its bivariate, multivariate, tensor based, complex-valued, quaternion-valued and robust;

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Vibration-based Condition Monitoring - Industrial, Automotive and Aerospace Applications, Second Edition

analysis to the separation of forcing functions, structural model properties, and the simulation of machines and faults. The book provides;

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Condition Monitoring Algorithms in MATLAB (R)

). In turn, the book introduces various techniques for synthetic signals generation, as well as vibration-based analysis techniques for large data;

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Condition Monitoring Algorithms in MATLAB

). In turn, the book introduces various techniques for synthetic signals generation, as well as vibration-based analysis techniques for large data;

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Mechanical Vibrations and Condition Monitoring

important mechanical components found in industrial machinery Explains fundamental concepts such as signal analysis and the Fourier;

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Principles of Cognitive Radio

systematic treatment of the core physical and networking principles of cognitive radio and explore key design considerations for the development;

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Wide Area Monitoring of Interconnected Power Systems

This book provides a compact yet comprehensive treatment of advanced data-driven signal processing techniques for the analysis and;

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Phased Arrays for Radio Astronomy, Remote Sensing, and Satellite Communications

mitigation are described, along with technologies for real-time hardware implementation. Key concepts from interferometric imaging used in radio;

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Chemical Process Performance Evaluation

regression, partial least squares regression, input-output modeling, state-space modeling, and modeling process signals for trend analysis. Then the;

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