An approach of regularization parameter estimation for sparse signal recovery

摘要：

In this paper, we focus on how to obtain a proper regularization parameter that should be properly selected for a reasonable compromise between finding a sparse solution and restricting the recovery error. An enlarged the square of the Frobenius norm of noise can be employed to select a proper regularization parameter. In this methodology, we exploit the inverse of noise cumulative distribution function (CDF) to achieve this ideal. The simulations demonstrate that the proposed method of selecting the regularization parameter has a large dynamic range and therefore can effectively suppress spurious peaks.

关键词： Array processing sparse signal reconstruction regularization parameter

作者: Chundi Zheng Gang Li Hao Zhang Xiqin Wang

作者单位: Department of Electronic Engineering, Tsinghua University, Beijing 100084, China Navy Arms Command A Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 385-388

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）