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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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Automatic 3D illumination-diagnosis method for large-N arrays: robust data scanner and machine-learning feature provider

TL;DR: A two-step wavefield evaluation and event detection method of body waves in recorded ambient noise and uses slowness parameters derived from the first step of TWEED as input to a support vector machine (SVM) algorithm to increase the computational efficiency.
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Analysis of CFA-BF: Novel combined fixed/adaptive beamforming for robust speech recognition in real car environments

TL;DR: A novel combined fixed/adaptive beamforming solution (CFA-BF) based on previous work for speech enhancement and recognition in real moving car environments, which seeks to take advantage of both methods.
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Design and Implementation of a Real-Time Multi-Beam Sonar System Based on FPGA and DSP.

TL;DR: In this article, a real-time multi-beam sonar system based on a Field Programmable Gate Array (FPGA) and Digital Signal Processing (DSP) from two perspectives, i.e., hardware implementation and software optimization, is presented.
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Estimating 2-D vector velocities using multidimensional spectrum analysis

TL;DR: 2 new velocity estimators for finding both the axial and lateral velocity components are presented, which essentially search for the plane in the 3- D Fourier space, where the integrated power spectrum is largest.
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Consistent Reduced-Rank LMMSE Estimation With a Limited Number of Samples per Observation Dimension

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