delay-causality-enforcement-using-Discrete-Hilbert-Transform-DHT-

This project is to use an Artificial Neural Network (ANN) to simualte the behavior of caulality enforcement based on Discrete Hilbert Transform method in circuit simulation.

• Use 'data+gen.py' to generate training data set using the library github.com/TeledyneLeCroy/SignalIntegrity.
• Use 'train.py' to train the ANN until the desired creteria is met.
• Use 'test.py' to test the ANN with the testing data set generated by SignalIntegrity on the fly and compare the result with the groudtruth generatd by traditional DHT method.