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The inexpensive collection, storage, and transmission of vast amounts of visual data has revolutionized science, technology, and business. Innovations from various disciplines have aided in the design of intelligent machines able to detect and exploit useful patterns in data. One such approach is statistical learning for pattern analysis. Among the various technologies involved in intelligent...
In this paper, we propose a computationally simple and efficient subspace-based adaptive method for estimating directions-of-arrival (AMEND) for multiple coherent narrowband signals impinging on a uniform linear array (ULA), where the previously proposed QR-based method is modified for the number determination, a new recursive least-squares (RLS) algorithm is proposed for null space updating, and...
This paper proposes a new computationally efficient method for two-dimensional (2-D) direction-of-arrivals (DOAs) estimation of multiple correlated narrowband signals impinging on an L-shaped sensor array structured by two uniform linear arrays (ULAs). In the proposed method, the azimuth and elevation angles are estimated independently from the cross-correlation matrices between the received data...
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