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This is the 2nd edition with a publication date of 6/13/2012.
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A technique of signal and image processing, deconvolution is applied when data is difficult to read because of corrupt images and experimental results. This text conveys a clear understanding of the field and provides a selection of effective, practical techniques.
Table of Contents
|Convolution and Related Concepts|
|Distortion of Optical Spectra|
|Traditional Linear Deconvolution Methods|
|Modern Constrained Nonlinear Methods|
|Convergence of Relaxation Algorithms|
|Application to Electron Spectroscopy for Chemical Analysis|
|Deconvolution in Optical Microscopy|
|Deconvolution of Hubble Space Telescope Images and Spectra|
|Maximum Liklihood Estimates of Spectra|
|Fourier Spectrum Continuation|
|Minimum Negativity Fourier Spectrum Continuation|
|Alternating Projection onto Convex Sets|
|Table of Contents provided by Publisher. All Rights Reserved.|