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Array Signal Processing: Concepts and Techniques
Don H. Johnson,Dan E. Dudgeon +1 more
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TLDR
This chapter discusses how signals in Space and Time and apertures and Arrays affect Array Processing and the role that symbols play in this processing.Abstract:
1. Introduction 2. Signals in Space and Time 3. Apertures and Arrays 4. Conventional Array Processing 5. Detection Theory 6. Estimation Theory 7. Adaptive Array Processing 8. Tracking Appendices References List of Symbols Index.read more
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Blind source separation and beamforming: algebraic technique analysis
C.M. Coviello,Leon H. Sibul +1 more
TL;DR: This paper investigates a technique that provides closed-form, algebraic expressions for BSS and beamforming in terms of performance and reliability and provides these results, as well as a summary of the properties, and possible uses for this technique, in contrast to more optimal, adaptive techniques.
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Ocean acoustic tomography as a data assimilation problem
TL;DR: A basic framework for ongoing data-model melding in acoustically focused oceanographic sampling (AFOS) network is provided and the current OAT approach is shown to be a special case of the general framework.
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Constrained optimization methods for direct blind equalization
Michail Tsatsanis,Zhengyuan Xu +1 more
TL;DR: The resulting blind algorithm was observed to have near optimal performance at high signal-to-noise ratio, i.e., close to the performance of the trained minimum mean-square-error receiver.
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Investigation of noise sources in high-speed trains:
TL;DR: In this paper, a delay-and-sum beamforming method was used to separate the noise sources and analyze the sound characteristics of high-speed trains, and a new microphone array with 96 microphones was designed to measure the noise produced by high speed trains.
Journal ArticleDOI
Robust Adaptive Beamforming Using Multidimensional Covariance Fitting
M. Rubsamen,Alex B. Gershman +1 more
TL;DR: Simulation results show that the proposed beamformer based on MD covariance fitting achieves an improved performance as compared to the state-of-the-art narrowband beamformers in scenarios with large sample support.