中文说明：资源描述 The Sparse Poisson Intensity Reconstruction ALgrotihms (SPIRAL) toolbox, SPIRALTAP.m, is MATLAB code for recovering sparse signals from Poisson observations. SPIRAL minimizes a regularized negative log-likelihood objective function with various penalty choices for the regularization terms: - Sparsity (l1 norm) of the coefficients in an orthonormal basis, - Total variation seminorm of the image, - Penalty based on Recursive Dyadic Partitions (RDPs), and - Penalty based on translationally-invariant (cycle-spun) RDPs. For more details, see Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett, "This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction Algorithms -- Theory and Practice," Submitted to IEEE Transactions on Image Processing. A preprint of this article is available on arXiv.org:
English Description：
Application backgroundSparse Poisson Intensity Reconstruction ALgrotihms The (SPIRAL) toolbox,Is, MATLAB code for recovering sparse signals from Poisson SPIRALTAP.mSPIRAL minimizes a regularized negative observations. log-likelihood Function with various penalty objective choices for the regularization terms: - of (norm L1) the coefficients in an orthonormal basis Sparsity, - variation seminorm of the image Total, - based on Recursive Dyadic Partitions Penalty (RDPs), and - based on translationally-invariant RDPs. (cycle-spun) PenaltyMore details For, seeT. Harmany Roummel, F. Marcia Zachary, M. Willett Rebecca, "is ThisSparse Poisson Intensity Reconstruction Algorithms SPIRAL-TAP: - TheoryPractice and, "to IEEE Transactions on Image Processing. SubmittedPreprint of this article A is available on arXiv.org:Http://arxiv.org/pdf/1005.4274 Http://drz.ac/code/