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Array Signal Processing: Concepts and Techniques

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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.

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Journal ArticleDOI

General direction-of-arrival tracking with acoustic nodes

TL;DR: A new model is introduced that incorporates an acceleration component along the heading direction of the target and it is shown that by incorporating the acceleration into the state vector, the tracking performance can be improved in certain cases as expected.
Journal ArticleDOI

Simultaneous-Speaker Voice Activity Detection and Localization Using Mid-Fusion of SVM and HMMs

TL;DR: A mid-fusion approach to perform both VAD and SSL for multiple active and inactive speakers is proposed by analyzing the individual speakers' spatio-temporal activities and mouth movements by using Support Vector Machines and Hidden Markov Models for assessing the video and audio modalities through an RGB camera and a microphone array.
Proceedings ArticleDOI

Noise Source Analysis of an Aeroengine with a new Inverse Method SODIX

TL;DR: In this paper, a new data analysis method SODIX (SOurce DIrectivity modelling in cross-spectral matriX) was developed for this purpose and applied to the experimental data obtained with a high-bypass ratio turbofan engine in an open air test bed.
Journal ArticleDOI

Direction of arrival estimation using music algorithm

TL;DR: Analysis of the performance of MUSIC (Multiple Signal Classification) algorithm for DOA estimation shows that MUSIC provide better angular resolution for increasing number of array element, distance between array element and number of samples.
Dissertation

Seafloor depth estimation by means of interferometric synthetic aperture sonar

TL;DR: A novel solution for the depth estimate using sidelooking sonar is presented, and an elegant solution to co-registration and unwrapping is found by interpolating the sonar data in ground-range.
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