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摘要
Underdetermined blind source separation based on compressed sensing (CS) has already been proven to be an effective mechanism from an experimental viewpoint. In this study, we develop a theoretical result and show that, under a certain sparsity constraint for the restricted isometry property, the accuracy of CS when retrieving sources is guaranteed. This theoretical result can be regarded as a generalization of the blocked polynomial deterministic matrix theory and has been confirmed using numerical examples.
- 出版日期2017-11
- 单位中国地质大学（北京）; 中国人民解放军海军工程大学
