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Found 5 papers, 0 papers with code
Variational Autoencoder Leveraged MMSE Channel Estimation
First, we show that given perfectly known channel state information at the input of the VAE during estimation, which is impractical, we obtain an estimator that can serve as a benchmark result for an estimation scenario.
An Asymptotically MSE-Optimal Estimator based on Gaussian Mixture Models
Then, a conditional mean estimator (CME) corresponding to this approximating PDF is computed in closed form and used as an approximation of the optimal CME based on the true channel PDF.
CSI Clustering with Variational Autoencoding
The model order of a wireless channel plays an important role for a variety of applications in communications engineering, e. g., it represents the number of resolvable incident wavefronts with non-negligible power incident from a transmitter to a receiver.
Learning a Compressive Sensing Matrix with Structural Constraints via Maximum Mean Discrepancy Optimization
We interpret a matrix with restricted isometry property as a mapping of points from a high- to a low-dimensional hypersphere.
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts
This report first provides a brief overview of a number of supervised learning algorithms for regression tasks.
