| M. Kristensson, M. Jansson, and B. Ottersten. Further results and insights on subspace based sinusoidal frequency estimation. IEEE Transactions on Signal Processing, 49:12:2962--2974, December 2001. |
....real valued residual covariance matrix in the optimal cost function is studied. Although we here concentrate on blind channel identification, the proposed ideas in the paper are applicable to many other subspace based estimators. For example, the concepts in this paper are similar to the ideas in [4] where subspace based sinusoidal frequency estimation is considered. The windowing of the received data in blind identification results in a block Toeplitz covariance matrix of the windowed data. If this is exploited in the analysis, the low rank structure of the residual covariance matrix is ....
M. Kristensson, M. Jansson, and B. Ottersten. Further results and insights on subspace based sinusoidal frequency estimation. Submitted to IEEE Transactions on Signal Processing.
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M. Kristensson, M. Jansson, and B. Ottersten. Further results and insights on subspace based sinusoidal frequency estimation. IEEE Transactions on Signal Processing, 49:12:2962--2974, December 2001.
No context found.
M. Kristensson, M. Jansson, and B. Ottersten. Further results and insights on subspace based sinusoidal frequency estimation. IEEE Transactions on Signal Processing, 49(12):2962--2974, December 2001.
No context found.
M. Kristensson, M. Jansson and B. Ottersten, "Further results and insights on subspace based sinusoidal frequency estimation, " IEEE Trans. on Signal Processing, Vol. 49, No. 12, pp. 2962-2974, December 2001.
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