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Adaptive super-exponential algorithms for blind deconvolution of MIMO systems
| Content Provider | CiteSeerX |
|---|---|
| Author | Kohno, Kiyotaka Inouye, Yujiro Kawamoto, Mitsuru Okamoto, Tetsuya |
| Description | in Proc. ISCAS Multichannel blind deconvolution of finite-impulse re-sponse (FIR) or infinite-impulse response (IIR) systems is investigated using the multichannel super-exponential method. First, some properties are shown for the rank of the correlation matrices relevant to the multichan-nel super-exponential method. Then, the matrix inver-sion lemma is extended to the degenerate rank case. Based on these results, two types of adaptive mul-tichannel super-exponential algorithms are presented, that is, the one in covariance form and the other in QR-factorization form. 1. |
| File Format | |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Matrix Inver-sion Lemma Correlation Matrix Qr-factorization Form Degenerate Rank Case Mimo System Blind Deconvolution Adaptive Super-exponential Algorithm Multichan-nel Super-exponential Method Adaptive Mul-tichannel Super-exponential Algorithm Multichannel Super-exponential Method Infinite-impulse Response Covariance Form Finite-impulse Re-sponse |
| Content Type | Text |
| Resource Type | Article |
