DocumentCode
2882194
Title
Two-dimensional harmonic retrieval in Gaussian noise based on hypercomplex
Author
Wu, Yonggui ; Wang, Shuxun ; Wang, Fei
Author_Institution
Inst. of Commun. Eng., Jilin Univ., Changchun, China
Volume
2
fYear
2005
fDate
12-14 Oct. 2005
Firstpage
1428
Lastpage
1431
Abstract
The complex signal of two dimensional harmonics is common. The pairing steps are always needed when we estimated the frequency pairs of harmonics which is described by complex signals. First we construct the quaternion signal model through the separated signal and its Hilbert transform. Then we define the corresponding four-order cumulant to restrain the additive Gauss noise and extract the frequency. Some simulations prove the correctness of the algorithm in this paper.
Keywords
Gaussian noise; Hilbert transforms; frequency estimation; multidimensional signal processing; Hilbert transform; additive Gaussian noise; four-order cumulant; frequency estimation; hypercomplex; quaternion signal model; two-dimensional harmonic retrieval; Additive noise; Colored noise; Frequency estimation; Gaussian noise; Image processing; Quaternions; Radar applications; Sonar applications; Two dimensional displays; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on
Print_ISBN
0-7803-9538-7
Type
conf
DOI
10.1109/ISCIT.2005.1567138
Filename
1567138
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