Abstract: This work addresses covariance matrix estimation for sea clutter at high grazing angle. Conventional estimation methods are susceptible to model-data mismatch, contaminated reference cells, ...

Abstract: Traditional adaptive beamformers often exhibit performance degradation under model mismatches or limited sample scenarios. To address these limitations, this paper proposes a robust adaptive ...

This project optimizes the weights of a 5‑model classifier ensemble using the CMA‑ES algorithm. The core CMA‑ES update steps — mean update, step‑size adaptation, and covariance adaptation — are ...

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The extracellular matrix is a complex network of material such as proteins and polysaccharides that are secreted locally by cells and remain closely associated with them to provide structural, ...