2021
Blind Deinterleaving of Signals in Time Series with Self-Attention Based Soft Min-Cost Flow Learning
ICASSP 2021accepted
We propose an end-to-end learning approach to address deinterleaving of patterns in time series, in particular, radar signals. We link signal clustering problem to min-cost flow as an equivalent problem once the proper costs exist. We formulate a bi-level optimization problem involving min-cost flow…