We achieve this by using two stages: (1) A bandpass filter to filter out the unwanted noise which is followed by (2) composite of two-level of multi-layers deep denoising autoencoder, each which ...

Overview: Simulates ECG signals with neurokit2, adds realistic noise (baseline wander, 50 Hz powerline interference, white Gaussian noise), then filters/denoises using a Butterworth bandpass filter ...

In order to optimize the clarity of synthetic aperture radar (SAR) images and enhance the accuracy of target recognition, this paper proposes a SAR image denoising method using deep learning ...