In complex operating conditions, the monitoring signals of mechanical equipment are
susceptible to interference from multiple vibration sources and environmental noise …

Detecting a ship target by over-the-horizon radar (OTHR) is seriously affected by sea clutter.
This paper proposes a clutter suppression algorithm based on dictionary learning and …

The acoustic detection of pipeline leaks is strongly influenced by the associated interference
and noise. In this paper, acoustic emission signals are analyzed using a sparse …

Identification of informative signatures from electrophysiological signals is important for
understanding brain developmental patterns, where techniques such as …

Blind deconvolution is a powerful tool for rolling bearing fault diagnosis. As one of
deconvolution methods, maximum second-order cyclostationarity blind deconvolution …

As a non-invasive imaging method, electrical impedance tomography (EIT) technology has
become a research focus for grounding grid corrosion diagnosis. However, the existing …

Transient stability assessment (TSA) has always been a fundamental and challenging
problem for ensuring the security and operation of power systems. With more power …

The near-field samples (NFSs) of base-station antennas are obtained by a circular array of
probes (CAP) in spherical array sampling systems. In order to reduce sampling time, this …

针对欠定盲语音分离传统字典学**算法不能优化字典尺寸的问题, 提出了一种尺度自适应同步码
字优化(Scale Adaptive Simultaneous Codeword Optimization, SASimCO) 算法 …