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Dynamic Predictive Sampling Analog to Digital Converter for Sparse Signal Sensing
No quantization is performed for successfully predicted sampling points so that the data throughput and power can be saved.
Fully Digital Second-order Level-crossing Sampling ADC for Data Saving in Sensing Sparse Signals
This paper presents a fully integrated second-order level-crossing sampling data converter for real-time data compression and feature extraction.
WeightMom: Learning Sparse Networks using Iterative Momentum-based pruning
As a result, it is more desirable to obtain lightweight neural networks which have the same performance during inference time.
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