Abstract: A deep autoencoder (DAE)-based structure for end-to-end communication over the two-user Z-interference channel (ZIC) with finite-alphabet inputs is designed in this paper. The proposed ...
Modern responsive web UI accessible from any device Station management (add/edit/delete/reorder) Real-time system monitoring and WiFi diagnostics Complete configuration without reflashing ...
Abstract: While deep learning has received a surge of interest in a variety of fields in recent years, major deep learning models barely use complex numbers. However, speech, signal and audio data are ...
Registration-based methods are commonly used in the automatic segmentation of magnetic resonance (MR) brain images. However, these methods are not robust to the presence of gross pathologies that can ...
Encoders are widely used in the motion control and automation industry to monitor the position and speed of motors. This information can be used by the motion control electronics to detect if the ...
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