In various disciplines, information about the same phenomenon can be acquired from
different types of detectors, at different conditions, in multiple experiments or subjects …

In recent years, the food industry has shown a growing interest in the development of rapid
and nondestructive analytical methods. However, the utilization of a solitary nondestructive …

Tensors or multiway arrays are functions of three or more indices (i, j, k,...)-similar to matrices
(two-way arrays), which are functions of two indices (r, c) for (row, column). Tensors have a …

In recent years, low-rank based tensor completion, which is a higher order extension of
matrix completion, has received considerable attention. However, the low-rank assumption …

Awkward postures in construction activities pose substantial hazards in both instantaneous
injuries and long-term work-related musculoskeletal disorders (WMSDs). Posture …

We consider the channel estimation problem in multiple-input multiple-output orthogonal
frequency division multiplexing (MIMO-OFDM) systems assisted by intelligent reconfigurable …

We propose a general algorithmic framework for constrained matrix and tensor factorization,
which is widely used in signal processing and machine learning. The new framework is a …

Higher-order tensors and their decompositions are abundantly present in domains such as
signal processing (eg, higher-order statistics [1] and sensor array processing [2]), scientific …

Traditional clustering algorithms can be applied for the pre-sorting step of radar signal
sorting. It can effectively dilute the pulse stream and prevent the dense pulse stream from …

Many real-life signals are compressible, meaning that they depend on much fewer
parameters than their sample size. In this paper, we use low-rank matrix or tensor …