Francesco Diotalevi

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The weight perturbation learning algorithm was formerly developed by hardware designers for its friendly features in the perspective of the analog on-chip implementation. Therefore it has not been used for real-world applications but it has been verified only on test problems. To significantly increase its attitude for the on-chip implementation, we(More)
Traditional hearing aids are limited by the absence of spatial selectivity. Superdirective microphone array can recover such limit, performing a spatial filtering to achieve an augmented SNR. We present Glassense, a platform hosting a double microphone array connected to a processing unit and mounted on the frame of common glasses. The platform has the(More)
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