JG Liu, XJ Yang, YY Feng, P Cui - Chinese Journal of Physics, 2020 - Elsevier
Based on the idea of the fractional derivative with respect to another function, a new fractional derivative operator with sigmoid function as the kernel in this article, is proposed …
Z Qian, X Wang, X Liu, X Xie, T Song - Computing, 2020 - Springer
Cloud computing, with the features of flexible resource assignment, timely on-demand service and transparent by-quantity pricing, has been widely applied recently. As a new …
N Sharma, MK Singh, SY Low, A Kumar - Circuits, Systems, and Signal …, 2021 - Springer
Estimation of noise often has a major impact on the quality of enhanced signal, especially when it comes in speech enhancement applications. The non-stationary noise statistics vary …
X Zhao, C Lin, S Wang, H Zhao - Scientific Programming, 2022 - Wiley Online Library
Entrepreneurship education is the key to cultivating the entrepreneurial spirit of national talents. The goal of entrepreneurship education is to cultivate a large number of pioneering …
R Zhao, R Wang, Y Gao, X Ning - Bioengineering, 2024 - mdpi.com
A class of algorithms based on subspace projection is widely used in the denoising of magnetoencephalography (MEG) signals. Setting the dimension of the interference …
C Zhuang, C Liu, H Zhu, Y Ma, G Shi, Z Liu… - Earth Science …, 2024 - Springer
Data sparsity has long been a problem in 3D geological modeling work. The geometric, topological, and attribute information of geological bodies in geological reports provide …
P Thüne, G Enzner - IEEE Transactions on Signal Processing, 2017 - ieeexplore.ieee.org
Multichannel signal enhancement is an important task, eg, in modern speech communication. It can be approached in a mean-square error sense by multichannel Wiener …
M Une, R Miyazaki - Applied Acoustics, 2020 - Elsevier
This paper focuses on two representative single-microphone noise reduction problems: speech distortion and musical noise. Many noise reduction methods have been proposed …
In this paper, an adaptive averaging a priori SNR estimation employing critical band processing is proposed. The proposed method modifies the current decision-directed a …