Multi-modal medical image fusion refers to the combination of patient area images obtained
under diverse or identical imaging modalities, which improves the clinical applicability and …

Recently, Geometric Algebra (GA) has attracted more and more attention in the field of
signal and image processing. GA can treat multi-dimensional signals in a holistic way to …

We address the ℓ _1 ℓ 1-norm minimization problem, which plays an important role in the
compressed sensing (CS) theory. While most previous approaches are designed for signals …

Multispectral images can provide more faithful representations for real scenes than the
traditional images and improve the performance of image restoration tasks. In this paper, we …

To achieve 3D skeleton-based human motion prediction, attention-based methods have
encouraged performance due to the observation that attention parts in the past state …

For color image fusion, existing traditional algorithms regard each color image pixel as a
scalar which may lose the relationships among spectral channels. In this paper, a novel …

Adaptive filtering algorithms are currently successfully employed in a number of fields. But, a
disadvantage of traditional real-valued fixed step-size adaptive filtering algorithm is that it is …

Recently, adaptive filtering algorithms have attracted much more attention in the field of
signal processing. By studying the shortcoming of the traditional real‐valued fixed step size …

Noise and interference are the two most common and basic problems in wireless
communication systems. The noise in wireless communication channels has the …

Since the emergence of extensive multivariate data, feature fusion has been more and more
important. Most conventional methods of feature fusion do not pay sufficient attention to …