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Signal Processing for Intelligent Sensor Systems with MATLAB

Signal Processing for Intelligent Sensors with MATLAB (R), Second Edition once again presents the key topics and salient information;

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Signal Processing for Intelligent Sensor Systems with MATLAB

Signal Processing for Intelligent Sensors with MATLAB (R), Second Edition once again presents the key topics and salient information;

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Intelligent Sensor Networks

representation for intelligent sensors Signal Processing-considers the optimization of sensor network performance based on digital signal processing;

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Intelligent Sensor Networks

representation for intelligent sensors Signal Processing-considers the optimization of sensor network performance based on digital signal processing;

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Signal Processing for Multistatic Radar Systems

Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms;

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Multi-Sensor Data Fusion With MATLAB

Using MATLAB (R) examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion;

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Intelligent Systems and Networks

communications signal processing for communications; electronics track IoT and sensor systems embedded systems; etc.;

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Intelligent Signal Processing

, stochastic resonance, financial markets, optimization, pattern recognition, signal detection, speech processing, and sensor fusion. Intelligent;

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Intelligent Systems Technologies and Applications

as knowledge discovery, data mining, pattern recognition, signal processing, intelligent image processing, artificial vision, ad hoc and;

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Design and Analysis of Analog Filters

. Useful Aspects of Design and Analysis of Analog Filters: A Signal Processing Perspective extensive use of MATLAB (R) throughout, with many;

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Signals and Systems Using MATLAB

assignments, with applications for controls, communications, and signal processing Begins with a review on all the background math necessary;

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Radar Signal Analysis and Processing Using MATLAB

processing with companion MATLAB (R) code. After an overview of radar systems operation and design, the book reviews elements of signal theory;

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Digital Signal Processing With Examples In Matlab

useful for extracting information from signals collected all around us. Combined with today's powerful computing capabilities, they can be used;

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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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Applied Speech Processing

of the intelligent speech signal processing systems in different domains. The book is proposed for professionals, scientists, and engineers who;

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Beamforming: Sensor Signal Processing For Defence Applications

Beamforming: Sensor Signal Processing for Defence Applications presents a range of important research contributions concerned with sensor;

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Partial-Update Adaptive Signal Processing

processing? MATLAB codes for developed algorithms This unique reference will be of interest to signal processing and communications;

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Computing Algorithms with Applications in Engineering

in computational intelligence, together with valuable reference material for future research. The topics covered include: big data analytics, IoT and smart;

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Computing Algorithms with Applications in Engineering

in computational intelligence, together with valuable reference material for future research. The topics covered include: big data analytics, IoT and smart;

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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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Machine Learning and Intelligent Communications

intelligent networking, intelligent ad-hoc and sensor networks, intelligent resource allocation in wireless and cloud networks, intelligent signal;

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Fundamentals of Signal Enhancement and Array Signal Processing

A comprehensive guide to the theory and practice of signal enhancement and array signal processing, including matlab codes, exercises and;

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Signals and Systems Primer with MATLAB

Signals and Systems Primer with MATLAB (R) equally emphasizes the fundamentals of both analog and digital signals and systems. To ensure;

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Intelligent Instrumentation

With the advent of microprocessors and digital-processing technologies as catalyst, classical sensors capable of simple signal conditioning;

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Intelligent Instrumentation

With the advent of microprocessors and digital-processing technologies as catalyst, classical sensors capable of simple signal conditioning;

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Soft Computing for Intelligent Systems

This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS;

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Intelligent Computing Theories and Technology

control and automation; intelligent data fusion and information security; intelligent sensor networks; intelligent fault diagnosis; intelligent;

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