Reconstruction from Random Measurements

摘要：

A practical method of reconstruction of signals from a small number of random observations is put forward.The method takes advantage of the sparsity of the signal in wavelet domain to reconstruct it in an iterative manner.The proposed method is shown to be quite successful in reconstruction of 1D as well as 2D signals from a few numbers of randomly acquired samples.It also proves to be robust to observation noise.

作者: Mohammad H.Kayvanrad

作者单位: National University of Singapore

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）