Adaptive Smooth-Windowed Wigner-Ville Distribution for Digital Communication Signal

Tan, Jo Lynn; Sha’ameri, Ahmad Zuri

doi:10.1109/nctt.2008.4814283

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…This research use the Hamming window as the lag-window and the TS function, H(t) will use raised-cosine pulse. The hamming window and the raised-cosine pulse are defined as [29]:…”

Section: The Smooth-windowed Wigner-ville Distributionmentioning

confidence: 99%

“…A verification of SWWVD is obtained by apply measurement techniques such as signal-to-crossterms ratio (SCR), main-lobe width (MLW), peak-to-side lobe ratio (PSLR), and absolute percentage error (APE). These techniques are used to calculate the accuracy, resolution, minimization of interference, and concentration of the TFR [29]. As shown in Figure 2, due to calculate the MLW and PSLR, the power spectrum is required and it can be acquired from the TFR frequency marginal.…”

Section: Performance Measurements Of Kernel Parametersmentioning

confidence: 99%

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An improved smooth-windowed Wigner-Ville distribution analysis for voltage variation signal

Manap

Abdullah

Nikolovski

et al. 2020

IJECE

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This paper outlines research conducted using bilinear time-frequency distribution (TFD), a smooth-windowed wigner-ville distribution (SWWVD) used to represent time-varying signals in time-frequency representation (TFR). Good time and frequency resolutions offer superiority in SWWVD to analyze voltage variation signals that consist of variations in magnitude. The separable kernel parameters are estimated from the signal in order to get an accurate TFR. The TFR for various kernel parameters is compared by a set of performance measures. The evaluation shows that different kernel settings are required for different signal parameters. Verification of the TFD that operated at optimal kernel parameters is then conducted. SWWVD exhibits a good performance of TFR which gives high peak-to-side lobe ratio (PSLR) and signal-to-cross-terms ratio (SCR) accompanied by low main-lobe width (MLW) and absolute percentage error (APE). This proved that the technique is appropriate for voltage variation signal analysis and it essential for development in an advanced embedded system.

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“…This research use the Hamming window as the lag-window and the TS function, H(t) will use raised-cosine pulse. The hamming window and the raised-cosine pulse are defined as [29]:…”

Section: The Smooth-windowed Wigner-ville Distributionmentioning

confidence: 99%

Section: Performance Measurements Of Kernel Parametersmentioning

confidence: 99%

An improved smooth-windowed Wigner-Ville distribution analysis for voltage variation signal

Manap

Abdullah

Nikolovski

et al. 2020

IJECE

View full text Add to dashboard Cite

show abstract

“…Therefore, it is necessary to construct the adaptive kernel function. At present, some adaptive kernel functions [20][21][22][23][24][25][26][27][28][29] have been constructed according to design criteria of adaptive optimal kernel proposed by Baraniuk and Jones. 20,21 Adaptive kernel function can be optimized to suppress the cross-terms adaptively according to the signal distribution, and their time-frequency resolution is not affected.…”

Section: Introductionmentioning

confidence: 99%

Adaptive radial sinc kernel distribution and its application in mechanical fault diagnosis

Zhu

Chu

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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Based on the deficiency of fixed-kernel in the traditional time–frequency distribution, which is lack of adaptability, a new adaptive kernel function, which is named as the adaptive radial sinc kernel, is proposed according to design criteria of adaptive optimal kernel. The definition and algorithm of radial sinc kernel are given, and the proposed method is compared with the tradition time–frequency distribution. The simulation results show that the proposed method is superior to the traditional fixed-kernel functions, such as Wigner–Ville distribution, Choi–Williams distribution, cone-kernel distribution and continuous wavelet transform. The adaptive radial sinc kernel can overcome the deficiency of fixed-kernel function in traditional time–frequency distribution, adopt the optimizing method to filter the cross-terms adaptively according to the signal distribution, obtain good time–frequency resolution and has extensive adaptability for an arbitrary signal. Finally, the proposed method has been applied to the fault diagnosis of rolling bearing, and the experiment result shows that the proposed method is very effective.

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Adaptive Smooth-Windowed Wigner-Ville Distribution for Digital Communication Signal

Cited by 2 publications

References 9 publications

An improved smooth-windowed Wigner-Ville distribution analysis for voltage variation signal

An improved smooth-windowed Wigner-Ville distribution analysis for voltage variation signal

Adaptive radial sinc kernel distribution and its application in mechanical fault diagnosis

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