DocumentCode :
1544789
Title :
Hypercomplex signals-a novel extension of the analytic signal to the multidimensional case
Author :
Bulow, Thomas ; Sommer, Gerald
Author_Institution :
GRASP Lab., Pennsylvania Univ., Philadelphia, PA, USA
Volume :
49
Issue :
11
fYear :
2001
fDate :
11/1/2001 12:00:00 AM
Firstpage :
2844
Lastpage :
2852
Abstract :
The construction of Gabor´s (1946) complex signal-which is also known as the analytic signal-provides direct access to a real one-dimensional (1-D) signal´s local amplitude and phase. The complex signal is built from a real signal by adding its Hilbert transform-which is a phase-shifted version of the signal-as an imaginary part to the signal. Since its introduction, the complex signal has become an important tool in signal processing, with applications, for example, in narrowband communication. Different approaches to an n-D analytic or complex signal have been proposed in the past. We review these approaches and propose the hypercomplex signal as a novel extension of the complex signal to n-D. This extension leads to a new definition of local phase, which reveals information on the intrinsic dimensionality of the signal. The different approaches are unified by expressing all of them as combinations of the signal and its partial and total Hilbert transforms. Examples that clarify how the approaches differ in their definitions of local phase and amplitude are shown. An example is provided for the two-dimensional (2-D) hypercomplex signal, which shows how the novel phase concept can be used in texture segmentation
Keywords :
Hilbert transforms; image segmentation; image texture; multidimensional signal processing; 2D hypercomplex signals; Gabor´s complex signal; Hilbert transform; analytic signal; complex signal; multidimensional signal; narrowband communication; partial Hilbert transform; real 1D signal local amplitude; real 1D signal local phase; signal processing; texture segmentation; total Hilbert transform; Computer aided software engineering; Fourier transforms; Frequency; Gabor filters; Image processing; Multidimensional signal processing; Multidimensional systems; Narrowband; Signal analysis; Signal processing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.960432
Filename :
960432
Link To Document :
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