ADMM-Net: A Deep Learning Approach for Parameter Estimation of Chirp Signals Under Sub-Nyquist Sampling.

Hanning Su Qinglong Bao Zengping Chen

Published in: IEEE Access (2020)

Keyphrases

parameter estimation
deep learning
fractional fourier transform
sampling rate
markov chain monte carlo
instantaneous frequency
maximum likelihood

unsupervised learning
least squares
model selection
em algorithm
expectation maximization
markov random field

random fields
parameter estimation algorithm
machine learning
weakly supervised
signal processing
approximate inference

higher order
mental models
multiscale
image processing
pairwise
reinforcement learning