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eess.SP2024★ 1 cited
On the normalized signal to noise ratio in covariance estimation
Tzvi Diskin, Ami Wiesel
We address the Normalized Signal to Noise Ratio (NSNR) metric defined in the seminal paper by Reed, Mallett and Brennan on adaptive detection. The setting is detection of a target…
eess.SP2024
Self-Supervised Learning for Covariance Estimation
Tzvi Diskin, Ami Wiesel
We consider the use of deep learning for covariance estimation. We propose to globally learn a neural network that will then be applied locally at inference time. Leveraging recent…