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Bingo Wing-Kuen Ling
Guangdong University of Technology
213Publications
15H-index
866Citations
Publications 213
Newest
Published on Feb 22, 2019in Circuits Systems and Signal Processing1.92
Xiaoling Wang (GDUT: Guangdong University of Technology), Bingo Wing-Kuen Ling15
Estimated H-index: 15
(GDUT: Guangdong University of Technology)
Time series usually consist of an underlying trend and the irregularities. Therefore, the underlying trend extraction plays an important role in the analysis of the time series. This paper proposes a method which combines the ensemble intrinsic timescale decomposition (EITD) algorithm and the matching pursuit (MP) approach for performing the underlying trend extraction. In order to extract the underlying trend, the EITD algorithm is applied to obtain a set of components. Then, the first componen...
Published on Sep 5, 2019in Signal, Image and Video Processing1.89
Xiaozhu Mo (GDUT: Guangdong University of Technology), Bingo Wing-Kuen Ling15
Estimated H-index: 15
(GDUT: Guangdong University of Technology)
+ 1 AuthorsYang Zhou1
Estimated H-index: 1
(GDUT: Guangdong University of Technology)
Denoising is the first step in both the QRS complex detection and the beat classification. However, infinite impulse response filters usually exhibit nonlinear phase responses. As a result, the group delays of the output signals based on the infinite impulse response filtering are different at different time instants. This causes the inaccuracies of the estimations of the RR intervals of the electrocardiograms. In this paper, the denoising is performed based on the singular spectrum analysis app...
Published on Mar 22, 2019in Signal, Image and Video Processing1.89
Nili Tian (Guangzhou Higher Education Mega Center), Xiaoling Wang (Guangzhou Higher Education Mega Center)+ 1 AuthorsMustafa Sakalli (Marmara University)
An approximated empirical mode decomposition generates a set of approximated intrinsic mode functions via a linear, nonadaptive but iterative approach. The decomposition was found to be very useful for a content-independent pattern recognition application. As the process is characterized by a system kernel matrix and performed iteratively, the approximated intrinsic mode functions can be understood as the original signals processed by a set of mask operations. Here, some properties of the decomp...
Published on Sep 1, 2019in Digital Signal Processing2.79
Qing Miao (FOSU: Foshan University), Bingo Wing-Kuen Ling15
Estimated H-index: 15
(GDUT: Guangdong University of Technology),
Xiaoling Wang (GDUT: Guangdong University of Technology)
Abstract For a sparse optimization problem with an L 1 norm objective function subject to an L ∞ norm inequality constraint, this paper finds that there is a piecewise linear relationship between the L 1 norm objective functional values and the L ∞ norm constraint specifications. This piecewise linear relationship is proved mathematically. Also, computer numerical simulations on a set of signal vectors verify the validity of this result. This result can provide a guidance for system analysts to ...
Published on 2019in Signal, Image and Video Processing1.89
Qiuliang Ye (GDUT: Guangdong University of Technology), Bingo Wing-Kuen Ling15
Estimated H-index: 15
(GDUT: Guangdong University of Technology)
+ 1 AuthorsWeichao Kuang2
Estimated H-index: 2
(GDUT: Guangdong University of Technology)
Nearly bandlimited signals play an important role in the biomedical signal processing community. The common method to analyze these signals is via the empirical mode decomposition approach which decomposes the non-stationary signals into the sums of the intrinsic mode functions. However, this method is computational demanding. A natural idea to reduce the computational cost is via the block processing. However, the severe boundary effect would happen due to the discontinuities between two consec...
Published on Jan 1, 2019in IEEE Transactions on Nanobioscience1.93
Libo Huang , Bingo Wing-Kuen Ling15
Estimated H-index: 15
(Guangzhou Higher Education Mega Center)
+ 3 AuthorsYao Chen
In recent years, the signal processing opportunities with the multi-channel recording and the high precision detection provided by the development of new extracellular multi-electrodes are increasing. Hence, designing new spike sorting algorithms are both attractive and challenging. These algorithms are used to distinguish the individual neurons’ activity from the dense and simultaneously recorded neural action potentials with high accuracy. However, since the overlapping phenomenon often inevit...
Published on Jun 5, 2019in Signal, Image and Video Processing1.89
Yang Zhou1
Estimated H-index: 1
,
Bingo Wing-Kuen Ling15
Estimated H-index: 15
Published on Jun 1, 2019in Signal Processing4.09
Chuqi Yang1
Estimated H-index: 1
(GDUT: Guangdong University of Technology),
Bingo Wing-Kuen Ling15
Estimated H-index: 15
(GDUT: Guangdong University of Technology)
+ 1 AuthorsJialiang Gu1
Estimated H-index: 1
(GDUT: Guangdong University of Technology)
Abstract A signal can be represented as the sum of the intrinsic mode functions via performing the empirical mode decomposition. For the discrete time signals, the lengths of the intrinsic mode functions are equal to the lengths of the input signals. As there is usually more than one intrinsic mode function, the total numbers of discrete points of all the intrinsic mode functions are usually more than the lengths of the input signals. In other words, the empirical mode decomposition is an oversa...
Published on May 25, 2019in Signal, Image and Video Processing1.89
Nili Tian1
Estimated H-index: 1
,
Bingo Wing-Kuen Ling15
Estimated H-index: 15
+ 2 AuthorsKok Lay Teo45
Estimated H-index: 45
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