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Highly Nonlinear Approximations for Sparse Signal Representation

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Highly Nonlinear Approximations for Sparse Signal Representation | nonlinear-approx.info Reviews

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1

EIFS

http://www.nonlinear-approx.info/EIFS/index.html

Highly Nonlinear Approximations for Sparse Signal Representation. Encrypted Image Folding Software - EIFS ( news: now extended to SCEIFS. This software was developed by James Bowley to provide a MATLAB implementation of the Encrypted Image Folding (EIF) method proposed in the paper. 1] Sparsity and Something Else: An Approach to Encrypted Image Folding. By James Bowley and Laura Rebollo-Neira. Published in IEEE Signal Processing Letters, Vol. 8 No 3, 189- 192, DOI: 10.1109/LSP.2011.2106496. Optional: To ...

2

SCEIFS

http://www.nonlinear-approx.info/SCEIFS/index.html

Highly Nonlinear Approximations for Sparse Signal Representation. Self Contained Encrypted Image Folding Software - SCEIFS. This software extends EIFS. It is freely distributed under GNU General Public licence as published by the Free Software Foundation, for non commercial use. It was developed by James Bowley to provide a MATLAB implementation of the Self Contained Encrypted Image Folding (SCEIF) method proposed in the paper. 1] Self Contained Encrypted Image Folding. To install the SCEIFS software:.

3

Project Overview

http://www.nonlinear-approx.info/overview/index.html

Highly Nonlinear Approximations for Sparse Signal Representation. This project focuses on the development of highly non-linear methods for sparse signal representation and disseminates the computational tools for their implementation. The proposed methods evolve by stepwise selection of atoms extending those developed within the previous EPSRC. This project is supported by EPSRC.

4

Tutorial

http://www.nonlinear-approx.info/tutorial/index.html

Highly Nonlinear Approximations for Sparse Signal Representation. This tutorial is intended to be a pedagogical self-contained introduction to the techniques developed within the EPSRC founded project: ` "Highly nonlinear approximations for sparse signal representation". Subspaces - Direct sum. Linear operators and linear functionals. Frames and bases for finite a dimension vector space. Signal Representation, Reconstruction, and Projection. Oblique and Orthogonal Projector. Updating the oblique projector.

5

Highly Nonlinear Approximations for Sparse Signal Representation

http://www.nonlinear-approx.info/index.html

Highly Nonlinear Approximations for Sparse Signal Representation. This is an EPSRC. Funded project led by Laura Rebollo-Neira. Working with James Bowley. This site is dedicated to disseminating the findings of the project. It contains tutorial material and computational tools aiming at encouraging the application of the proposed techniques and assist researchers, students, and practitioners in reproducing the results of our publications. The content is grouped under the following headings:.

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Publications

http://www.jamesbowley.co.uk/publications.html

Sparse representation of astronomical images. Journal of the Optical Society of America A. Vol 30, Issue 4, 758- 768, (2013). Ldquo;Self Contained Encrypted Image Folding”. Vol 391 Issue 23, 5858- 5870, (2012). Ldquo;Sparsity and ‘Something Else‘: An Approach to Encrypted Image Folding”. IEEE Signal Processing Letters. Vol 8 No 3, 189- 192, (2011).

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Highly Nonlinear Approximations for Sparse Signal Representation

Highly Nonlinear Approximations for Sparse Signal Representation. This is an EPSRC. Funded project led by Laura Rebollo-Neira. Working with James Bowley. This site is dedicated to disseminating the findings of the project. It contains tutorial material and computational tools aiming at encouraging the application of the proposed techniques and assist researchers, students, and practitioners in reproducing the results of our publications. The content is grouped under the following headings:.

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