Novel Approach to Signal Processing with Low-Rank MMSE Filters

This ArXiv article likely presents a novel approach to signal processing, potentially improving the performance and efficiency of Minimum Mean Square Error (MMSE) filtering. The use of low-rank representations and regularization suggests an effort to address computational complexity and overfitting concerns.

• •Explores the application of low-rank approximations to simplify MMSE filtering.
• •Utilizes Kronecker-product representation for efficient computation.
• •Employs regularization techniques to improve robustness and generalization.