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ACADEMIC PRESS LIBRARY IN SIGNAL PROCESSING, VOLUME 7. ARRAY, RADAR AND COMMUNICATIONS ENGINEERING
Título:
ACADEMIC PRESS LIBRARY IN SIGNAL PROCESSING, VOLUME 7. ARRAY, RADAR AND COMMUNICATIONS ENGINEERING
Subtítulo:
Autor:
CHELLAPA, R
Editorial:
ACADEMIC PRESS
Año de edición:
2018
ISBN:
978-0-12-811887-0
Páginas:
650
149,00 € -10,0% 134,10 €

 

Sinopsis

Description
Academic Press Library in Signal Processing, Volume 7: Array, Radar and Communications Engineering is aimed at university researchers, post graduate students and R&D engineers in the industry, providing a tutorial-based, comprehensive review of key topics and technologies of research in Array and Radar Processing, Communications Engineering and Machine Learning. Users will find the book to be an invaluable starting point to their research and initiatives.

With this reference, readers will quickly grasp an unfamiliar area of research, understand the underlying principles of a topic, learn how a topic relates to other areas, and learn of research issues yet to be resolved.

Key Features
Presents a quick tutorial of reviews of important and emerging topics of research
Explores core principles, technologies, algorithms and applications
Edited and contributed by international leading figures in the field
Includes comprehensive references to journal articles and other literature upon which to build further, more detailed knowledge
Readership
Engineers who use signal processing for arrays, Radars, Bayesian learning, deep Learning, MIMO, Speech enhancement, Machine Learning

Table of Contents
1. Holistic Radar Waveform Diversity
2. Geometric Algebra for Radar Detection
3. Cognitive Radar Techniques for Next Generation Radar Systems
4. Parameter Bounds Under Misspecified Models for Adaptive Radar Detection
5. Multistatic Radar Systems
6. Sparsity-Based Radar Techniques
7. mmWave radar systems and techniques
8. Signal Processing for Massive MIMO Communications
9. Distributed Beamforming
10. Transmit Beamforming for Wireless Power and Information Transfer
11. Sparse Methods for Direction-of-Arrival Estimation
12. Beamforming Techniques using Microphone Arrays