In this paper, we study the matrix denoising model Y = S + X, where S is a low rank deterministic signal matrix and X is a random noise matrix, and both are M × n. In the scenario that M and n are ...
The estimation problem in the linear model with prior information on a subvector of parameters is studied. The recursive least squares algorithm is extended to the case of singular matrices of ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback