4 papers
AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing
Nanyu Li, Charles C. Zhou
Compressed sensing (CS) is a challenging problem in image processing due to reconstructing an almost complete image from a limited measurement. To achieve fast and accurate CS reco…
ECG Beats Fast Classification Base on Sparse Dictionaries
Nanyu Li, Yujuan Si, Di Wang +2
Feature extraction plays an important role in Electrocardiogram (ECG) Beats classification system. Compared to other popular methods, VQ method performs well in feature extraction…
ECG beats classification via online sparse dictionary and time pyramid matching
Nanyu Li, Yujuan Si, Duo Deng +1
Recently, the Bag-Of-Word (BOW) algorithm provides efficient features and promotes the accuracy of the ECG classification system. However, BOW algorithm has two shortcomings: (1).…
MC-ISTA-Net: Adaptive Measurement and Initialization and Channel Attention Optimization inspired Neural Network for Compressive Sensing
Nanyu Li, Cuiyin Liu
The optimization inspired network can bridge convex optimization and neural networks in Compressive Sensing (CS) reconstruction of natural image, like ISTA-Net+, which mapping opti…