Bingo Wing-Kuen Ling

Guangdong University of Technology

213Publications

15H-index

866Citations

Publications 213

Newest

Underlying Trend Extraction via Joint Ensemble Intrinsic Timescale Decomposition Algorithm and Matching Pursuit Approach

Xiaoling Wang (GDUT: Guangdong University of Technology), Bingo Wing-Kuen Ling15 (GDUT: Guangdong University of Technology)

Estimated H-index: 15

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...

Linear phase properties of the singular spectrum analysis components for the estimations of the RR intervals of electrocardiograms

Xiaozhu Mo (GDUT: Guangdong University of Technology), Bingo Wing-Kuen Ling15 (GDUT: Guangdong University of Technology)+ 1 AuthorsYang Zhou1 (GDUT: Guangdong University of Technology)

Estimated H-index: 15

Estimated H-index: 1

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...

Properties of approximated empirical mode decomposition and optimal design of its system kernel matrix for signal decomposition

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...

Piecewise linear relationship between L1 norm objective functional values and L∞ norm constraint specifications

Qing Miao (FOSU: Foshan University), Bingo Wing-Kuen Ling15 (GDUT: Guangdong University of Technology), Xiaoling Wang (GDUT: Guangdong University of Technology)

Estimated H-index: 15

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 ...

Parallel implementation of empirical mode decomposition for nearly bandlimited signals via polyphase representation

Qiuliang Ye (GDUT: Guangdong University of Technology), Bingo Wing-Kuen Ling15 (GDUT: Guangdong University of Technology)+ 1 AuthorsWeichao Kuang2 (GDUT: Guangdong University of Technology)

Estimated H-index: 15

Estimated H-index: 2

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...

Libo Huang , Bingo Wing-Kuen Ling15 (Guangzhou Higher Education Mega Center)+ 3 AuthorsYao Chen

Estimated H-index: 15

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...

Yang Zhou1 , Bingo Wing-Kuen Ling15

Estimated H-index: 1

Estimated H-index: 15

Decimations of intrinsic mode functions via semi-infinite programming based optimal adaptive nonuniform filter bank design approach

Chuqi Yang1 (GDUT: Guangdong University of Technology), Bingo Wing-Kuen Ling15 (GDUT: Guangdong University of Technology)+ 1 AuthorsJialiang Gu1 (GDUT: Guangdong University of Technology)

Estimated H-index: 1

Estimated H-index: 15

Estimated H-index: 1

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...

Nili Tian1 , Bingo Wing-Kuen Ling15 + 2 AuthorsKok Lay Teo45

Estimated H-index: 1

Estimated H-index: 15

Estimated H-index: 45

Singular spectral analysis-based denoising without computing singular values via augmented Lagrange multiplier algorithm

Peihua Feng1 , Bingo Wing-Kuen Ling15 + 1 AuthorsJinrong Chen

Estimated H-index: 1

Estimated H-index: 15

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