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Data and Codes for Reproducing the Results of Analysis SimCO Dictionary Learning Algorithms

Wang, W and Dong, J Data and Codes for Reproducing the Results of Analysis SimCO Dictionary Learning Algorithms [Dataset]

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Item Type: Dataset
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Faculty of Engineering and Physical Sciences > Electronic Engineering
Faculty of Engineering and Physical Sciences
Principal Investigator :
Principal InvestigatorEmail
Wang, Wenwuw.wang@surrey.ac.uk
Description : This dataset contains Matlab codes and test images for reproducing the results in the paper: J. Dong, W. Wang, W. Dai, M. Plumbley, Z. Han, and J. A. Chambers, "Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning", submitted to IEEE Transactions on Signal Processing, 2015.
Dataset Creators :
AuthorsEmailORCID
Wang, Ww.wang@surrey.ac.ukUNSPECIFIED
Dong, Jj.dong@surrey.ac.ukUNSPECIFIED
Publication Year of Data : 2015
Creation Dates : 8 July 2015
Funder : EPSRC and Dstl
Identification Number : 10.15126/surreydata.00808101
Grant Title : Signal Processing Solutions for the Networked Battlespace
Access Statement : No restrictions.
Data Access Contact :
Data Access ContactEmail
UNSPECIFIEDresearchdata@surrey.ac.uk
External Data Location : Internal Location
Data Format : text, image, and matlab files
Discipline : Electronic Engineering
Keywords : sparse analysis model, dictionary learning, Analysis SimCO, Incoherent Analysis SimCO, Analysis K-SVD, AOL, LOST, GOAL, Transform K-SVD, ASimCO-Random, ASimCO-IKSVD, optimisation, manifold learning, image denoising
Data Collection Method : The synthetic data were generated using the codes provided. The images used in denoising experiments were downloaded from open sources.
Related Links :
Version : version 1.0
Depositing User : Symplectic Elements
Date Deposited : 14 Jul 2015 10:58
Last Modified : 03 Aug 2016 09:30
URI: http://epubs.surrey.ac.uk/id/eprint/808101

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