Scalar Quantization as Sparse Least Square Optimization

no code implementations • 1 Mar 2018 • Chen Wang, Xiaomei Yang, Shaomin Fei, Kai Zhou, Xiao-Feng Gong, Miao Du, Ruisen Luo

Furthermore, to compute quantization results with a given amount of values/clusters, this paper designed an iterative method and a clustering-based method, and both of them are built on sparse least square.

Clustering Quantization

Fully Dense Neural Network for the Automatic Modulation Recognition

no code implementations • 7 Dec 2019 • Miao Du, Qin Yu, Shaomin Fei, Chen Wang, Xiao-Feng Gong, Ruisen Luo

Nowadays, we mainly use various convolution neural network (CNN) structures to extract features from radio data or spectrogram in AMR.

Automatic Modulation Recognition