DeepAI AI Chat
Log In Sign Up

Off-grid Variational Bayesian Inference of Line Spectral Estimation from One-bit Samples

11/14/2018
by   Jiang Zhu, et al.
0

In this paper, the line spectral estimation (LSE) problem is studied from one-bit quantized samples where variational line spectral estimation (VALSE) combined expectation propagation (EP) VALSE-EP method is proposed. Since the original measurements are heavily quantized, performing the off-grid frequency estimation is very challenging. Referring to the expectation propagation (EP) principle, this quantized model is decomposed as two modules, one is the componentwise minimum mean square error (MMSE) module, the other is the standard linear model where the variational line spectrum estimation (VALSE) algorithm can be performed. The VALSE-EP algorithm iterates between the two modules in a turbo manner. In addition, this algorithm can be easily extended to solve the LSE with the multiple measurement vectors (MMVs). Finally, numerical results demonstrate the effectiveness of the proposed VALSE-EP method.

READ FULL TEXT

page 1

page 2

page 3

page 4

03/17/2018

Variational Bayesian Inference of Line Spectral Estimation with Multiple Measurement Vectors

In this paper, the line spectral estimation (LSE) problem with multiple ...
07/22/2019

Expectation Propagation Line Spectral Estimation

Line spectral estimation (LSE) is a fundamental problem in signal proces...
11/22/2019

Matrix Completion from Quantized Samples via Generalized Sparse Bayesian Learning

The recovery of a low rank matrix from a subset of noisy low-precision q...
12/26/2019

Multidimensional Variational Line Spectra Estimation

The fundamental multidimensional line spectral estimation problem is add...
02/05/2018

Newtonized Orthogonal Matching Pursuit for Line Spectrum Estimation with Multiple Measurement Vectors

A Newtonized orthogonal matching pursuit (NOMP) algorithm is proposed to...
06/07/2016

Learning Power Spectrum Maps from Quantized Power Measurements

Power spectral density (PSD) maps providing the distribution of RF power...
04/13/2016

Variational Bayesian Inference of Line Spectra

In this paper, we address the fundamental problem of line spectral estim...