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Found 2 papers, 1 papers with code
Music Instrument Classification Reprogrammed
The performance of approaches to Music Instrument Classification, a popular task in Music Information Retrieval, is often impacted and limited by the lack of availability of annotated data for training.
Learning to Compensate: A Deep Neural Network Framework for 5G Power Amplifier Compensation
In the proposed framework, Deep Neural Networks (DNNs) are used to learn the characteristics of the PAs, while, correspondent Digital Pre-Distortions (DPDs) are also learned to compensate for the nonlinear and memory effects of PAs.
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