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Model-Based Signal Processing

This book contains a unique treatment of signal processing using a model-based perspective. Signal processing is primarily aimed at;

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Event-Based Control and Signal Processing

, signal processing, and electronic instrumentation. Activities in event-based systems are triggered in response to events usually representing a;

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Event-Based Control and Signal Processing

, signal processing, and electronic instrumentation. Activities in event-based systems are triggered in response to events usually representing a;

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Multimedia Signal Processing

range of important topics are covered in basic signal processing, model-based statistical signal processing and their applications. Part 1;

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ModelBased Processing

for designing model-based signal processors (MBSP) employing subspace identification techniques to achieve model-based identification (MBID;

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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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Financial Signal Processing and Machine Learning

, graphical models, causal analysis through temporal-causal modeling, and large-scale copula-based approaches. Key features: * Highlights signal;

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Signal Processing and Machine Learning with Applications

processes are among the signal processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book;

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VLSI Analog Signal Processing Circuits

This book is based on a collection of the past exams for the VLSI Analog Signal Processing Circuits class (EEE598) the author offered;

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Intelligent Signal Processing

IEEE Press is proud to present the first selected reprint volume devoted to the new field of intelligent signal processing (ISP). ISP;

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Fourier Transform Theory in Signal Processing

mathematicians as it provides practical based overview on signal processing.;

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Advances in Heuristic Signal Processing and Applications

algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal;

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Biomedical Signal Processing

of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on;

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Digital Signal Processing for Wireless Communication using Matlab

The updated book presents Matlab illustrations on various digital signal processing (DSP) techniques such as random process, time varying;

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Ultrafast All-Optical Signal Processing Devices

Semiconductor-based Ultra-Fast All-Optical Signal Processing Devices -a key technology for the next generation of ultrahigh bandwidth;

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Digital and Statistical Signal Processing

digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables;

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Digital and Statistical Signal Processing

digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables;

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Python for Signal Processing

This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which;

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Applied Signal Processing

Classical signal processing techniques are based primarily on the analog nature of all signals. However, the continuously improving;

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Digital Signal Processing using Arm Cortex-M based Microcontrollers

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Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy

, narrow-band signal enhancement approaches are combined with broad-band processing in terms of directivity based beamforming. Previously;

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Adaptive Radar Signal Processing

, dealing with the use of adaptive radar signal processing to account for the nonstationary nature of the environment. These results have profound;

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Starting Digital Signal Processing in Telecommunication Engineering

(spectral analysis and digital filtering), introduction to DSP advanced topics (multi-rate, adaptive, model-based and multimedia - speech, audio;

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Starting Digital Signal Processing in Telecommunication Engineering

(spectral analysis and digital filtering), introduction to DSP advanced topics (multi-rate, adaptive, model-based and multimedia - speech, audio;

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Cellular Signal Processing

view of cell signaling that is based on the concept of protein interactions acting as sophisticated data processing networks that govern;

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Handbook of Mixture Analysis

on mixture models and their applications in scientific domains such as data mining, machine learning, physics, mechanical engineering, signal;

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Digital Aliasfree Signal Processing

As demand for applications working in extended frequency ranges increases, classical Digital signal processing (DSP) techniques, not;

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