Direction of arrival (DOA) estimation has emerged as a promising technology for many
military and civilian applications, such as radio astronomy and wireless communications …

Phase retrieval aims at recovering a complex-valued signal using the magnitude-only
measurements of its linear transformation, and has wide applicability in areas including …

Many of today's signal processing tasks consider sparse models where the number of
explanatory variables exceeds the sample size. When dealing with real-world data, the …

Greedy algorithms have attracted considerable interest for sparse signal recovery (SSR) due
to their appealing efficiency and performance recently. However, conventional greedy …

A sparse based DOA mathematical model is proposed based on the vectorization of a
fractional low-order covariance (FLOC) matrix. The sparse recovery-based method of off-grid …

This work addresses sparse signal reconstruction problem in the presence of impulsive
noise based on greedy algorithms. The impulsive noise, in this paper, is modeled by an …

Current orthogonal matching pursuit (OMP) algorithms calculate the correlation between two
vectors using the inner product operation and minimize the mean square error, which are …

In signal processing research, cyclostationarity and fractional lower-order statistics (FLOS)
are two important solutions to non-stationary signals and non-Gaussian noises, respectively …

In this paper, an l p-norm approach to robust probabilistic inspection of plate-like structure
defects with guided waves is proposed. Analytical results show that the more the outliers in …

We exploit the deep unfolding networks (DUN) to achieve localization of near-field (NF)
sources via symmetric nested array (SNA). Firstly, we calculate the vectorization of fourth …