A New Approach to Multi-dimensional Adaptive Filtering:: With Application to Point Spread Function Estimation in Digital Images

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A new is approach is presented to extend the classical adaptive filtering theory to higher dimensions. The approach is based on the idea of coordinate transformation between multiple dimensions which allows any adaptive filter to be extended to any integral dimension. To demonstrate it, the two-dimensional problem of non-parametric estimation of Point Spread Function (PSF) in digital images is solved using the new approach. However, the great advantage of the new approach is that it can be similarly applied to any adaptive filtering problem of arbitrary integral dimension in any discipline.
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Product Details

October 12, 2014
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1.78 MB
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Required Software Any ePub Reader
Supported Devices Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch... (See More)
# of Devices Unlimited
Flowing Text / Pages Flowing Text
Printable? Yes
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