The canonical polyadic decomposition (CPD) can be used to extract meaningful
components from a tensor. Most existing optimization methods for fitting the CPD use as cost …

The canonical polyadic decomposition (CPD) plays an important role for signal separation in
array processing. The CPD model requires arrays composed of several displaced but …

The electrocardiogram (ECG) is a biomedical signal that is widely used to monitor the heart
and diagnose cardiac problems. Depending on the clinical need, the ECG is recorded with …

To address the issues of poor anti-noise performance of second-order statistics and low
estimation accuracy in previous joint underdetermined blind source separation (JUBSS) …

In various applications within signal processing, system identification, pattern recognition,
and scientific computing, the canonical polyadic decomposition (CPD) of a higher-order …

Tensor updating methods enable tensor decompositions to adapt quickly when new data is
added to the tensor. At present, updating methods for the canonical polyadic decomposition …

A novel underdetermined blind separation method is proposed based on signal slice and
tensor decomposition to explore effective statistical information and improve separation …

handed his scientific poster to Mario and said:“Present the research!” while he was split from
us at Chinese customs. Another worthwhile anecdote: I climbed the Hallasan of Jeju island …

Over the past two decades, there has been a dramatic increase in the volume and variety of
data generated in almost every scientific discipline. To enable the efficient storage and …

You often hear that in life, the journey is more important than the destination. I believe the
same thing is true for a PhD. Today marks the end of a journey that turned out to be longer …