منابع مشابه
On the Hilbert-Huang Transform Theoretical Developments
One of the main heritage tools used in scientific and engineering data spectrum analysis is the Fourier Integral Transform and its high performance digital equivalent the Fast Fourier Transform (FFT). Both carry strong a-priori assumptions about the source data, such as linearity, of being stationary, and of satisfjmg the Dirichlet conditions. A recent development at the National Aeronautics an...
متن کاملHyperspectral Image Analysis Using Hilbert-huang Transform
ABSTRACT: Hyperspectral images, which contain rich and fine spectral information, can improve land use/cover classification accuracy, while traditional statistics-based classifiers cannot be directly used on such images with limited training samples. The commonly used method to solve this problem is dimensionality reduction, and this can be done by feature extraction for hyperspectral images. T...
متن کاملThe Hilbert-Huang Transform: theory, applications, development
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...
متن کاملHilbert-Huang Transform-based Local Regions Descriptors
This paper presents a new interest local regions descriptors method based on Hilbert-Huang Transform. The neighborhood of the interest local region is decomposed adaptively into oscillatory components called intrinsic mode functions (IMFs). Then the Hilbert transform is applied to each component and get the phase and amplitude information. The proposed descriptors samples the phase angles infor...
متن کاملCognitive Radio Sensing Using Hilbert Huang Transform
Vast segments of the frequency spectrum are reserved for primary (licensed ) users. These legacy users often under-utilize their reserved spectrum thus causing bandwidth waste. The unlicensed (secondary) users can take advantage of this fact and exploit the spectral holes (vacant spectrum segments). Since spectrum occupancy is transient in nature it is imperative that the spectral holes are ide...
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ژورنال
عنوان ژورنال: Scholarpedia
سال: 2008
ISSN: 1941-6016
DOI: 10.4249/scholarpedia.2544