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Found 4 papers, 2 papers with code
Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions
This paper analyzes DONE, an online optimization algorithm that iteratively minimizes an unknown function based on costly and noisy measurements.
Fast Inverse Nonlinear Fourier Transforms for Continuous Spectra of Zakharov-Shabat Type
The nonlinear Fourier spectrum comprises a continuous and a discrete part in general, but so far only fast inverse NFTs for signals whose continuous spectrum is null have been reported in the literature.
Information Theory Information Theory Optics
Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks
We present a simple, efficient "direct learning" approach to train Volterra series-based digital pre-distortion filters using neural networks.
Structured Sensing Matrix Design for In-sector Compressed mmWave Channel Estimation
Fast millimeter wave (mmWave) channel estimation techniques based on compressed sensing (CS) suffer from low signal-to-noise ratio (SNR) in the channel measurements, due to the use of wide beams.
