Journal ArticleDOI
An analysis of various methods for computing the envelope of a random signal
Zhong-sheng Fang,Nan Xie +1 more
TLDR
In this article, a new approach for computing the Hilbert transform by constituting a moving average with two-sided or one-sided optimum coefficients which can be determined according to the statistical characteristics of the signal was proposed.About:
This article is published in Applied Ocean Research.The article was published on 1995-01-01. It has received 17 citations till now. The article focuses on the topics: Envelope (waves) & Fourier analysis.read more
Citations
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Journal ArticleDOI
Online tracking of voltage flicker utilizing energy operator and Hilbert transform
TL;DR: In this article, the Hilbert transform (HT) and the Teager energy operator (TEO) are used for the online tracking of voltage flicker levels in distribution systems with only a 3% margin of error.
Journal ArticleDOI
Hilbert transform based control algorithm of the DG interface for voltage flicker mitigation
TL;DR: In this article, a new control algorithm for the DG interface based on the Hilbert transform (HT) is presented, which is employed as an effective technique for tracking the voltage flicker levels in distribution systems.
Journal ArticleDOI
Automatic noise-level detection for extra-cellular micro-electrode recordings
TL;DR: An improved and novel method is proposed that is based on an estimate of the mode of the distribution of the signal envelope that gives superior performance both on simulated data, and on actual micro-electrode recordings made during the implantation surgery of DBS electrodes for the treatment of Parkinson’s disease.
Journal ArticleDOI
Delay Bound: Fractal Traffic Passes through Network Servers
Ming Li,Wei Zhao,Carlo Cattani +2 more
TL;DR: A concise method of delay computation for hard real-time systems as shown in this paper is proposed and the delay computation of fractal traffic passing through servers is presented.
Journal ArticleDOI
Comparison of methods for calculation of the wave envelope
TL;DR: Different methods for computing of the Hilbert transform are reviewed and discussed and statistical characteristics of the wave envelope determined by different methods are compared with the theoretical ones.
References
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Journal ArticleDOI
Mathematical analysis of random noise
TL;DR: In this paper, the authors used the representations of the noise currents given in Section 2.8 to derive some statistical properties of I(t) and its zeros and maxima.
Journal ArticleDOI
Statistical properties of wave groups in a random sea state
TL;DR: In this article, two apparently distinct approaches to the analysis of wave groups in a random sea state are described, one based on wave envelope functions and the other based on a Markov chain.
Journal ArticleDOI
On the behavior of minimax fir digital Hilbert transformers
TL;DR: In this paper, the authors present useful design data on wideband Hilbert transformers with even and odd values of N, the impulse response duration (in samples) of the filter.
Journal ArticleDOI
Stochastic characteristics of wave groups in random seas: Part 1 - Time duration of and number of waves in a wave group
TL;DR: In this article, a method for evaluating various stochastic characteristics of wave groups is developed, where wave groups are defined as a sequence of at least two high waves exceeding a specified level.
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