A MAP-driven task-oriented precoding framework derives a tractable class-mean separation objective to enable low-complexity feature extraction and precoding that improves classification accuracy after wireless distortion while avoiding covariance inversions.
Mutual information based pilot design for ISAC,
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MAP-Based Task-Oriented Precoding for Multiuser Communication
A MAP-driven task-oriented precoding framework derives a tractable class-mean separation objective to enable low-complexity feature extraction and precoding that improves classification accuracy after wireless distortion while avoiding covariance inversions.