Parametric Dictionary Design for Sparse Coding

被引:82
作者
Yaghoobi, Mehrdad [1 ,2 ]
Daudet, Laurent [3 ]
Davies, Mike E. [1 ,2 ]
机构
[1] Univ Edinburgh, Inst Digital Commun, Edinburgh EH9 3JL, Midlothian, Scotland
[2] Univ Edinburgh, Joint Res Inst Signal & Image Proc, Edinburgh EH9 3JL, Midlothian, Scotland
[3] Univ Paris 06, Mus Acoust Lab LAM, Paris, France
基金
英国工程与自然科学研究理事会;
关键词
Dictionary design; exact sparse recovery; Gammatone filter banks; incoherent dictionary; parametric dictionary; sparse approximation; MATCHING PURSUITS; AUDITORY FILTER; TIME-DOMAIN; REPRESENTATIONS; CONVERGENCE;
D O I
10.1109/TSP.2009.2026610
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper introduces a new dictionary design method for sparse coding of a class of signals. It has been shown that one can sparsely approximate some natural signals using an overcomplete set of parametric functions. A problem in using these parametric dictionaries is how to choose the parameters. In practice, these parameters have been chosen by an expert or through a set of experiments. In the sparse approximation context, it has been shown that an incoherent dictionary is appropriate for the sparse approximation methods. In this paper, we first characterize the dictionary design problem, subject to a constraint on the dictionary. Then we briefly explain that equiangular tight frames have minimum coherence. The complexity of the problem does not allow it to be solved exactly. We introduce a practical method to approximately solve it. Some experiments show the advantages one gets by using these dictionaries.
引用
收藏
页码:4800 / 4810
页数:11
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