Parameterized transform domain computation of the Hilbert Transform applied to separation of channels in Doppler spectra

Sathyanarayana, Sushanth G.; Gargava, Anuj; Venkatesan, Shankar M.

doi:10.1109/iadcc.2013.6514396

Cited by 1 publication

(1 citation statement)

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“…Figure 3a shows the time-domain waveform of g(t). The Hilbert transform [27] is used to obtain the envelope of g(t) in the time domain, as shown in Figure 3b. Then, the amplitude-frequency characteristic curve of g(t) was obtained via the Fourier transform, as shown in Figure 3c.…”

Section: Gaussian Narrow-band Envelope Signalsmentioning

confidence: 99%

A High-Resolution Defect Location Method for Medium-Voltage Cables Based on Gaussian Narrow-Band Envelope Signals and the S-Transform

Chen,

Yang,

Song

et al. 2024

Energies

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The time–frequency-domain reflection method (TFDR) based on the Wigner–Ville distribution (WVD) is confronted with the problem of cross-term interference in existing methods to locate power cable defects. Therefore, a new method of locating cable defects based on Gaussian narrow-band envelope signals and the S-transform is proposed in this paper. In this method, the wide-band cable transfer function is obtained by adjusting the parameters of the Gaussian narrow-band envelope signal because the Gaussian narrow-band envelope signal has a good frequency-adjusting ability and time–frequency characteristics. Then, the time–frequency of the cable signal is transformed by the generalized S-transform, and the time delay of the modular matrix of the transformation matrix is estimated by the generalized cross-correlation algorithm to complete the accurate detection of the cable defect’s location. Compared with traditional methods, the proposed method can adaptively adjust the analysis time width according to the frequency change and provide intuitive time–frequency characteristics without cross-term interference. Finally, the effectiveness and practicability of the proposed method are verified in MATLAB 2017_a by simulating a 40 m/10 kV medium-voltage power cable and submarine cable with a length of 32 km.

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Section: Gaussian Narrow-band Envelope Signalsmentioning

confidence: 99%