Enhanced discrete wavelet packet sub-band frequency edge detection using Hilbert transform

被引：8
作者：
Dibal, P. Y. [1 ]
Onwuka, E. N. [1 ]
Agajo, J. [2 ]
Alenoghena, C. O. [1 ]
机构：
[1] Fed Univ Technol, Telecommun Engn Dept, Minna, Niger State, Niger
[2] Fed Univ Technol, Comp Engn Dept, Minna, Niger State, Niger
来源：
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 2018年 / 16卷 / 01期
关键词：
Discrete wavelet packet transform; Hilbert transform; frequency edge; local maxima; cognitive radio;
D O I：
10.1142/S0219691318500091
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The wavelet packet transform as a mathematical tool has found recent application in spectrum sensing. The result of this application has produced very promising results. Primarily, wavelets were designed for edge detection in images. Recently, cognitive radio literature have reported on wavelet application to detect sub-band frequency edges in wide band spectrum. In this paper, we present the combination of the Hilbert transform and the wavelet packet transform with the aim of enhancing the detection of the sub-band frequency edges of a wavelet-packet-decomposed signal. The simulation results show the effectiveness of this approach. The new scheme detected sub-band frequency edges of the wavelet-packet-decomposed signal much better than the wavelet packet transform without combination with the Hilbert transform.
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页数：17
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