In various signal processing applications, such as audio signal recovery, the extraction of
desired signals from a mixture of other signals is a crucial task. To achieve superior …

Source number detection is a critical problem in array signal processing. Conventional
model-driven methods eg, Akaikes information criterion and minimum description length …

Source number estimation is an important problem in signal processing. The performances
of traditional methods in this field are severely degraded under some extreme conditions …

In order to solve the problem that the performance of traditional localization methods for
mixed near-field sources (NFSs) and far-field sources (FFSs) degrades under impulsive …

Direction-of-arrival (DOA) estimation plays a vital role in the field of array signal processing.
However, the need for heavy computing tasks in most traditional DOA algorithms, eg …

As wireless communication advances, the spectrum is becoming more crowded and
overlapping, making it essential to determine the number of signal sources based on the …

Signal source number detection is an essential issue for the direction of arrival (DOA)
estimation in satellite communication systems. The performances of conventional and deep …

In signal processing, empirical mode decomposition (EMD) first decomposes the received
single-channel signal into several intrinsic mode functions (IMFs) and a residual, and then …

Speech separation is attracting widespread interest due to the sound mixing in real
environments in and out door applications. Although the researchers have used many …

The existing model-driven methods for source number estimation (SNE) under spatially
correlated noise are limited by the inherent shortcomings of model assumptions and …