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Starting from the orthogonal (greedy) least squares method, we build an adaptive algorithm for finding online sparse solutions to linear systems. The algorithm belongs to the exponentially windowed recursive least squares (RLS) family and maintains a partial orthogonal factorization with pivoting of the system matrix. For complexity reasons, the(More)
We propose a method for the estimation of direction of arrival (DOA) of wideband sources using a sensor array, especially directed for improving the DOA estimation accuracy in the case of close sources. Starting from the spatial spectrum estimated by MVDR separately in each subband, we select a number of peaks in each subband and build the likelihood of a(More)
This paper studies the lossless compression of rectified light-field images captured by plenoptic cameras, exploiting the high similarity existing between the subaperture images, or views, composing the light-field image. The encoding is predictive, where one sparse predictor is designed for every region of a view, using as regressors the pixels from the(More)
We introduce and investigate several criteria for matching the outer contour generated by a model of the manipulation target against the image data captured with a stereo camera rig. The more complex criteria are intended for the initial stage of scene analysis, to provide pose and location estimation for path planning, and the faster methods can be used in(More)
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