Hilbert-Huang Transform (HHT) is a novel data analysis technique for nonlinear and non-stationary data. We present a time-frequency analysis of both simulated light curves and an X-ray burst from the X-ray burster 4U 1702-429 with both the HHT and the Windowed Fast Fourier Transform (WFFT) methods. Our results show that the HHT method has failed in all cases for light curves with Poissonian flu...

Abstract In this paper, the Innovative Trend Methodology (ITM) and their inspired approaches, i.e., Double (D-ITM) Triple (T-ITM), were combined with Hilbert Huang transform (HHT) time frequency-based method. The new hybrid methods (i.e., ITM-HHT, D-ITM-HHT, T-ITM-HHT) proposed compared to DWT-based in order recommend best Three total annual rainfall series from 1920 2011 selected three hydrolo...

Hilbert-Huang Transform (HHT) is a data analysis tool, first developed in 1998, which can be used to extract the periodic components embedded within oscillatory data. This thesis is dedicated to the understanding, application, and development of this tool. First, the background theory of HHT will be described and compared with other spectral analysis tools. Then, a number of applications will b...

The Hilbert transform is one of the most successful approaches to tracking the varying nature of vibration of a large class of nonlinear systems, thanks to the extraction of backbone curves from experimental data. Because signals with multiple frequency components do not admit a well-behaved Hilbert transform, this transform is inherently limited to the analysis of single-degree-of-freedom syst...

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 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...

Cantonese is a very popular spoken language/dialect, which is well known for its rich set of nine tones and the similarity in tone contours between its tones. Automated tone recognition of Cantonese is very challenging. Hilbert-Huang Transform (HHT) is an empirical algorithm that works on non-stationary and nonlinear signals. In this study, the performance of the HHT algorithm on the recognitio...

The paper devotes analysis of environmental data sets by using Hilbert-Huang transform (HHT). The environmental data were measured by meteorological stations which are deployed in the southern part of Czech Republic. The analysis is performed in both the time and frequency domains. The aim of the work is to investigate selected measured non-stationary time series by using the HHT method and als...

Ground moving target indication (GMTI) in foliage environment is a challenging problem, because the strong echoes from dense foliage environment and big attenuation of the radar microwave often make it difficult for traditional time frequency distributions to clearly and locally represent the Doppler frequency. This paper introduced a new approach to improve the performance of GMTI. This so-cal...