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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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https://doi.org/10.1007/978-3-658-31869-7The problem of reconstruction of digital images from their blurred and noisy measurements is unarguably one of the central problems in imaging sciences. Despite its ill-posed nature, this problem can often be solved in a unique and stable manner, provided appropriate assumptions on the nature of the images to be discovered.
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Compressed Sensing,In 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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Application: Image Deblurring for Optical Imaging,The problem of reconstruction of digital images from their blurred and noisy measurements is unarguably one of the central problems in imaging sciences. Despite its ill-posed nature, this problem can often be solved in a unique and stable manner, provided appropriate assumptions on the nature of the images to be discovered.
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SpringerBriefs in Electrical and Computer Engineeringhttp://image.papertrans.cn/c/image/231983.jpg
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https://doi.org/10.1007/978-3-319-00366-5Compressive Sensing; Derivative Compressive Sampling; Image Deblurring; Inverse Problems; Shack-Hartmann
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Book 2010afety-critical, including car, railway, and air traffic control, robotics, physical–chemical process control, and biomedical devices. Hybrid systems analysis studies how we can build computerized controllers for physical systems which are guaranteed to meet their design goals.The author gives a uniq
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