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Found 6 papers, 0 papers with code
Channel Estimation for Reconfigurable Intelligent Surface MIMO with Tensor Signal Modelling
A key benefit of both methods compared to the traditional least squares (LS) solution is that they exploit the structure of the tensor model to obtain decoupled estimates of all communication channels.
CNN-based automatic segmentation of Lumen & Media boundaries in IVUS images using closed polygonal chains
We propose an automatic segmentation method for lumen and media with irregular contours in IntraVascular ultra-sound (IVUS) images.
A Structurally Regularized CNN Architecture via Adaptive Subband Decomposition
Our proposed CNN architecture is fully compatible with the end-to-end learning mechanism of typical CNN architectures and learns the subband decomposition from the input dataset.
Channel Estimation for Reconfigurable Intelligent Surface-Assisted Full-Duplex MIMO with Hardware Impairments
We consider the problem of channel estimation in a multiple-input-multiple-output (MIMO) full-duplex (FD) wireless communication system assisted by a reconfigurable intelligent surface (RIS) with hardware impairments (HI) occurring at the transceivers and RIS elements.
Energy-Efficient D2D-Aided Fog Computing under Probabilistic Time Constraints
In this paper, we address the problem of resource allocation with respect to task partitioning, computation resources and transmit power in a D2D-aided fog computing scenario, aiming to minimize the expected total energy consumption under probabilistic constraints on the processing time.
A Structurally Regularized Convolutional Neural Network for Image Classification using Wavelet-based SubBand Decomposition
We propose a convolutional neural network (CNN) architecture for image classification based on subband decomposition of the image using wavelets.
