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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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When Katrina hit California
TL;DR: In this paper, the authors used beamforming of seismic noise recorded on 150 Southern California stations to identify body and surface waves generated by Hurricane Katrina and found that the temporal evolution of the surface and body waves was different, indicating a different source mechanism for the two wave types.
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Computing linear transforms of symbolic signals
Wei Wang,Don H. Johnson +1 more
TL;DR: Time-frequency and time-scale analysis techniques are extended to symbolic signals and a general linear approach to developing processing algorithms for symbolic signals is described, illustrating spectral and wavelet analyses of DNA sequences.
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Eigenspace Based Minimum Variance Beamforming Applied to Ultrasound Imaging of Acoustically Hard Tissues
TL;DR: Forward/backward averaging is employed to improve the robustness of the MV beamforming techniques and an eigen-spaced minimum variance technique (ESMV) is used to enhance the edge detection of hard tissues to reduce noise and enhance edges in ultrasound images.
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On the resolvability of sinusoids with nearby frequencies in the presence of noise
Morteza Shahram,Peyman Milanfar +1 more
TL;DR: This correspondence develops statistical algorithms and performance limits for resolving sinusoids with nearby frequencies in the presence of noise and derives a locally optimal detection strategy that can be applied in a standalone fashion or as a refinement step for existing spectral estimation methods to yield improved performance.
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Coherent MIMO radar: The phased array and orthogonal waveforms
TL;DR: A number of gain patterns are introduced, which quantify the antenna performance of a MIMO radar, and the impact of the waveform characteristics is discussed.