The Fourier transform remains one of the most popular spectral methods in time-series analysis, so much so that the word “spectrum” is virtually equivalent to “Fourier spectrum” (Huang et al., 2001). This method assumes that a time series extends from positive to negative infinity (stationarity) and consists of a linear superposition of sinusoids (linearity). However, geophysical signals are ne...

We present a new method for separation of the rhythms of the electroencephalogram (EEG) signal. The proposed method is based on the Hilbert-Huang transform (HHT). The HHT consists two steps namely empirical mode decomposition (EMD) and the Hilbert transform (HT). The EMD decomposes EEG signal into set of narrow-band intrinsic mode functions (IMFs), and the Hilbert transformation of these IMFs p...

The newly developed method known as Hilbert-Huang Transform (HHT) is ideal for nonlinear and nonstationary data analysis as it is totally adaptive in nature. This paper will discuss the fundamentals of HHT method which consists of the empirical mode decomposition and Hilbert spectral transform. As a part of analysis, the HHT method is applied on two different data sets in which one is the annua...

The Fourier transform remains one of the most popular spectral methods in time-series analysis, so much so that the word “spectrum” is virtually equivalent to “Fourier spectrum” (Huang et al., 2001). This method assumes that a time series extends from positive to negative infinity (stationarity) and consists of a linear superposition of sinusoids (linearity). However, geophysical signals are ne...

Voltage fluctuation is an essential problem exiting in distribution network. This paper applies Hilbert Huang transform (HHT) algorithm to dealing with voltage fluctuation tracking. An adaptive method based on waveform matching is presented to prevent the endpoint effects in mode decomposition. Numerical examples are given and the simulation verifies the practicality of the proposed method.

The success of health monitoring and condition assessment of power transformers based on winding current signature analysis lies on proper extraction of features. The extraction of features in turn depends on appropriate signal processing methods. Fourier based signal analysis provides only frequency information and also suitable only for stationary signals. In this paper we present a combined ...

The HHT (Hilbert-Huang transform) and wavelet transform are both signal processing methods. This paper is based on comparing HHT and Wavelet transform applied to Radar signals. HHT can be used for processing nonstationary and nonlinear signals. It is one of the time-frequency analysis techniques which consists of Empirical Mode Decomposition (EMD) and instantaneous frequency solution. EMD is a ...

Hilbert Huang transform (HHT) is a relatively new method. It seems to be very promising for the different applications in signal processing because it could calculate instantaneous frequency and amplitude which is also important for the biomedical signals. HHT consisting of empirical mode decomposition and Hilbert spectral analysis, is a newly developed adaptive data analysis method, which has ...