Primal-dual algorithms for audio decomposition using mixed norms

被引：13

作者：

Bayram, Ilker ^{[1
]}

Akyildiz, O. Deniz ^{[2
]}

机构：

[1] Istanbul Tech Univ, TR-80626 Istanbul, Turkey

[2] Bogazici Univ, Istanbul, Turkey

来源：

SIGNAL IMAGE AND VIDEO PROCESSING | 2014年 / 8卷 / 01期

关键词：

Audio decomposition; Mixed norms; Analysis prior; Synthesis prior; Primal-dual; SPARSITY; MINIMIZATION; MODELS;

D O I：

10.1007/s11760-013-0472-z

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：

We consider the problem of decomposing audio into components that have different time frequency characteristics. For this, we model the components using different transforms and mixed norms applied on the transform domain coefficients. We formulate the problem as a search for a saddle point and derive algorithms through a primal-dual framework. We also discuss how to modify the primal-dual algorithms in order to derive a simpler heuristic scheme.

引用

页码：95 / 110

页数：16