This paper proposes a threshold-free method for grouping and selecting the singular spectrum analysis (SSA) components for performing the signal denoising via the empirical mode decomposition (EMD) approach. First, the total number of the groups of the SSA components is selected to be the same as the total number of the intrinsic mode functions (IMFs) of the signal. The SSA components are assigned to the group where the absolute correlation coefficient between the IMF and the SSA component is th...

(Guangdong University of Technology), Zhijing Yang8

Estimated H-index: 8

(Guangdong University of Technology), Jinchang Ren26

Estimated H-index: 26

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Due to its excellent performance in terms of fast implementation, strong generalization capability and straightforward solution, extreme learning machine (ELM) has attracted increasingly attentions in pattern recognition such as face recognition and hyperspectral image (HSI) classification. However, the performance of ELM for HSI classification remains a challenging problem especially in effective extraction of the featured information from the massive volume of data. To this end, we propose in ...

(Guangdong University of Technology), Zhijing Yang8

Estimated H-index: 8

(Guangdong University of Technology)

Abstract Singular spectral analysis (SSA) is a nonparametric spectral estimation method for performing the time series analysis. It represents a signal as the sum of its components. In this manuscript, a nearly cyclostationary signal is considered. The signal is quantized and the SSA is employed to reconstruct the original signal based on the quantized signal. First, the reconstructed signal is modeled as the weighted sum of the SSA components. In order to estimate the weights, each quantization...

(Guangdong University of Technology), Hai Huyen Dam10

Estimated H-index: 10

(Curtin University)... more

The concept of mask operation in fractional Fourier domains is a generalization of the conventional Fourier-based filtering in the frequency domain. It is known that simultaneously employing multiple mask operations in multiple different fractional Fourier domains can lead to significant performance advantages when compared with just employing a single mask operation in a single fractional Fourier domain. However, there is no systematic scheme for optimal joint design of the discrete fractional ...

This paper proposes to use a set of discrete fractional Fourier transform (DFrFT) matrices with different rotational angles to construct an overcomplete kernel for sparse representations of signals. The design of the rotational angles is formulated as an optimization problem as follows. The sum of the L1 norms of both the real part and the imaginary part of transformed vectors is minimized subject to different values of the optimal rotational angles. In order to avoid all the optimal rotational ...

The Fisher linear discriminant analysis (FLDA)-based method is a common method for jointly optimizing the intraclass separation and the interclass separation of the projected feature vectors by defining the objective function as the ratio of the intraclass separation over the interclass separation. To address the eigenproblem of the FLDA, a quadratic equality constraint is imposed on the square of the \(l_{2}\) norm of the decision vector. However, the constrained optimization problem is highly ...

(Guangdong University of Technology), Haiyan Zhang (Guangdong University of Technology)... more

AbstractA coplanar waveguide (CPW)-fed multiple input multiple output (MIMO) antenna with higher isolation and multi-bandwidth circular polarization (CP) is presented. This antenna covers the impedance operations from 2.2 to 6.8 GHz with < −10 dB, < −14 dB and < −10 dB. Employing two orthogonally placed T-shaped patches (TSP) and three L-shaped parasitic patches (LSPP) in the ground, the dual sense CP in the frequency band between 2.28 and 3.48 GHz (42.5%) and meanwhile between 6.03 and 6.28 GHz...