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Nonlinear Schrödinger Kernel for hardware acceleration in machine learning inference
Alternative machine learning approaches that are computationally light with low latency and can work with only a small training dataset are needed for applications where the insatiable demand of deep learning methods for computing power and large training data cannot be met.
Optics Signal Processing
Deep Analog-to-Digital Converter for Wireless Communication
We demonstrate this "Deep ADC" technique on an 8G Sample/s 8-channel time-interleaved ADC with the QAM-OFDM modulated data.
Deep Learning Interference Cancellation in Wireless Networks
In this paper, we propose a Neural Network (NN) based signal processing technique that works with traditional DSP algorithms to overcome the interference problem in realtime.
