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Joint processing of visible (RGB) and near-infrared (NIR) images has recently found some appealing applications, which make joint capturing a pair of visible and NIR images an important problem. In this paper, we propose a new method to design color filter arrays (CFA) and demosaicing matrices for acquiring NIR and visible images using a single sensor. The proposed method modifies the optimum CFA...
Spectral factorization is a classical tool in signal processing and communications. It also plays a critical role in X-ray crystallography, in the context of phase retrieval. In this work, we study the problem of sparse spectral factorization, aiming to recover a one-dimensional sparse signal from its autocorrelation. We present a sufficient condition for the recovery to be unique, and propose an...
Adaptive beamforming in a coherent interference environment is considered. An eigenanalysis based two-step adaptive method is proposed for uniform linear arrays. In the first step, an optimum subarray weight vector is obtained via eigenanalysis techniques. In the second, the adaptive array response is optimized by employing unused degrees of freedom. Two optimization criteria are minimization of white...
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