… Although not yet fully investigated, the use of CNNs in the field of seismic noise suppression
… interference (SI) noise becomes a problem. In this paper, we have studied a deep learning‐…

… is that it significantly suppresses out-of-focus interference artifacts, which frequently appear
in … network, this property to suppress out-of-focus interference artifacts stems from the fact that …

This paper proposes an effective beamformer for uniform linear arrays of half-wave dipole
antennas based on binary bat algorithm (BBA) by controlling complex weights (both …

… well-structured review on the application of deep learning (DL) based algorithms, such as …
iv) radar jamming/clutter recognition and suppression. Although DL is unanimously praised as …

… In particular, the recent introduction of deep learning to … of the research on deep learning
based supervised speech … of supervised separation: learning machines, training targets, …

… In this way, overfitting can be effectively suppressed, the amount of data can be reduced,
and implicit features can be extracted. The proposed deep learning network has good …

… As a result more and more deep learning based RFI suppression methods are emerging.
Similar to the conventional notching filter method, Fan et al. [30] designed a network to identify …

… The proposed models are inspired by some of the recent advances in machine learning …
techniques for machine learning [15]. This study proposes new deep learning models to improve …

… Most of the existing denoising methods have negative suppression effect on the desert …
supervised deep-learning method that has proven to be an effective tool for noise suppression. …

… In order to suppress noise, we adopt the commonly used time-frequency (TF) masking
framework. Specifically, the ideal ratio mask (IRM) is estimated by employing DNN. Then, the …