2 papers
cs.LG2020
A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements
Y. Yang, P. Xiao, B. Liao +1
We propose a novel deep neural network, coined DeepFPC-, for solving the 1-bit compressed sensing problem. The network is designed by unfolding the iterations of the fixed-…
cs.LG2019
DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements
Peng Xiao, Bin Liao, Nikos Deligiannis
We present DeepFPC, a novel deep neural network designed by unfolding the iterations of the fixed-point continuation algorithm with one-sided l1-norm (FPC-l1), which has been propo…