Abstract: We consider multi-variate signals spanned by the integer shifts of a set of generating functions with distinct frequency profiles and the problem of reconstructing them from samples taken on ...
A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
The start-up Function will send practically anyone to a lab for extensive medical testing, no physical required. Is that a good thing? By Kristen V. Brown As Kimberly Crisp approached middle age, ...
Abstract: Quantized neural networks employ reduced precision representations for both weights and activations. This quantization process significantly reduces the memory requirements and computational ...