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Titlebook: Compressed Sensing with Side Information on the Feasible Region; Mohammad Rostami Book 2013 The Author(s) 2013 Compressive Sensing.Derivat

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Application: Surface Reconstruction in Gradient Field,-from-shading. In the case of morphologically complex surfaces observed in the presence of shadowing and transparency artifacts, a relatively large number of gradient measurements may be required for accurate surface reconstruction. Consequently, due to hardware limitations of image acquisition devi
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,Telematik im Straßengüterverkehr,the source itself, i.e. structure, probability distribution, etc. In this chapter, the problem of compressed sensing in the presence of side information about the feasible region is reviewed. We follow an approach similar to [1] to formulate the problem mathematically for a wider class. Next it is s
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After Sales und Reverse Logistics,-from-shading. In the case of morphologically complex surfaces observed in the presence of shadowing and transparency artifacts, a relatively large number of gradient measurements may be required for accurate surface reconstruction. Consequently, due to hardware limitations of image acquisition devi
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https://doi.org/10.1007/978-3-658-31869-7In this chapter compressed sensing is introduced in more details. Gelfand’s width, which is a pure mathematical concept with close connection to CS, is introduced in Sect. 2.1. CS in restricted isometry perspective is considered in Sect. 2.2. Section 2.3 covers a review on spherical section property, which will be used in the next Chapter.
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