Multi-Input Multi-output (MIMO) Blind Deconvolution Via Maximum Entropy (ME) Method
Tan Li-l · Dianzi xuebao · 2000
The problem discussed in this paper is to separate two (or more )input signals from observed signals which are generated by passing input signals through different unknown multi-input multi-output linear systems. It is proved that the input signals can be separated when they are independent identitically distributed (i.i.d) signals . A new algorithm for multi-input multi-output blind deconvolution via maximum entropy is presented which needs no information about the input signals and mixing filters.