Recent Advances In Compressed Sensing: Discrete Uncertainty Principles And ...

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Recent Advances In Compressed Sensing: Discrete Uncertainty Principles And Fast Hyperspectral ImagingISBN13:9781523327225ISBN10:1523327227Author:Penny Hill Press Inc (Editor), Air Force Institute of Technology (Author)Description:(This is a RePrint) - Compressed Sensing Is An Important Eld With Continuing Advances In Theory And Applications This Book Provides Contributions To Both Theory And Application Much Of The Theory Behind Compressed Sensing Is Based On Uncertainty Principles, Which State That A Signal Cannot Be Concentrated In Both Time And Frequency We Develop A New Discrete Uncertainty Principle And Use It To Demonstrate A Fundamental Limitation Of The Demixing Problem, And To Provide A Fast Method Of Detecting Sparse Signals The Second Half Of This Book Focuses On A SpeciC Application Of Compressed Sensing: Hyperspectral Imaging Conventional Hyperspectral Platforms Require Long Exposure Times, Which Can Limit Their Utility, And So We Propose A Compressed Sensing Platform To Quickly Sample Hyperspectral Data We Leverage Certain Combinatorial Designs To Build Good Coded Apertures, And Then We Apply Block Orthogonal Matching Pursuit To Quickly Reconstruct The Desired Imagery Binding:Paperback, PaperbackPublisher:Createspace Independent Publishing PlatformPublication Date:2016-01-10Weight:0.46 lbsDimensions:0.17'' H x 11.02'' L x 8.5'' WNumber of Pages:80Language:English

Price: 14.65 USD

Location: USA

End Time: 2024-10-22T10:05:18.000Z

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