Non-linear filters can offer protection to the data stream. Depending on your application they may be used as a stand-alone filter or as a pre-filter before the FIR, IIR, or boxcar filter.

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and ...

Consider the limitations of using the linear model, nonlinear unmixing methods have been studied under different model assumptions. However, existing nonlinear unmixing algorithms do not fully exploit ...

DNN was fed features from the input layer, and then the hidden layers transformed data in a non-linear way. At last, the learned features were calculated to the output layer. In the whole DNN model, ...

A deep-neural network (DNN) architecture is used to predict the state variables evolution after training an autoencoder coupled with a control system approach (Embed to Control—E2C) along with the ...