A convex analysis based criterion for blind separation of non-negative sources

作者：Chan Tsung Han^*; Ma Wing Kin; Chi Chong Yung; Wang Yue

来源：32nd IEEE International Conference on Acoustics, Speech and Signal Processing, 2007-04-15 to 2007-04-20.

• blind separation
• non-negative sources
• convex analysis

In this paper, we apply convex analysis to the problem of blind source separation (BSS) of non-negative signals. Under realistic assumptions applicable to many real-world problems such as multichannel biomedical imaging, we formulate a new BSS criterion that does not require statistical source independence, a fundamental assumption to many existing BSS approaches. The new criterion guarantees perfect separation (in the absence of noise), by constructing a convex set from the observations and then finding the extreme points of the convex set. Some experimental results are provided to demonstrate the efficacy of the proposed method.

• 出版日期2007
• 单位清华大学