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.

引用

页数：17

共 50 条

[21] Optimal wavelet sub-band selection using genetic algorithm
Xu, P
Chan, AK
IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 1441 - 1443
[22] Sub-band selection approach to artifact suppression from electroencephalography signal using hybrid wavelet transform
Ferdous, Mst Jannatul
Ali, Md Sujan
Hamid, Md Ekramul
Molla, Md Khademul Islam
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 18 (01):
[23] Enhanced algorithm for QRS detection using discrete wavelet transform (DWT)
Jenkal, Wissam
Latif, Rachid
Toumanari, Ahmed
Dliou, Azdine
El B'charri, Oussama
2015 27TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM), 2015, : 39 - 42
[24] An enhanced Discrete Wavelet Packet Transform for Feature Extraction in Electroencephalogram Signals
Al-Qammaz, Abdullah Yousef
Yusof, Yuhanis
Ahamd, Farzana Kabir
PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON IMAGING, SIGNAL PROCESSING AND COMMUNICATION, 2015, : 88 - 93
[25] Error Resilient Speech Coding Using Sub-band Hilbert Envelopes
Ganapathy, Sriram
Motlicek, Petr
Hermansky, Hynek
TEXT, SPEECH AND DIALOGUE, PROCEEDINGS, 2009, 5729 : 355 - +
[26] Open-Circuit Fault Detection in a Multilevel Inverter Using Sub-Band Wavelet Energy
Khan, Faisal A.
Shees, Mohammad Munawar
Alsharekh, Mohammed F.
Alyahya, Saleh
Saleem, Faisal
Baghel, Vipul
Sarwar, Adil
Islam, Muhammad
Khan, Sheroz
ELECTRONICS, 2022, 11 (01)
[27] Segmentation of Heart Sound Signals Using Improved Hilbert Transform and Wavelet Packet Transform
Xiao, Peizhi
Wang, Kunpeng
CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2025,
[28] Digital hologram encryption using discrete wavelet packet transform
Seo, Young-Ho
Choi, Hyun-Jun
Kim, Dong-Wook
OPTICS COMMUNICATIONS, 2009, 282 (03) : 367 - 377
[29] Electroencephalography Data Analysis by Using Discrete Wavelet Packet Transform
Karim, Samsul Ariffin Abdul
Ismail, Mohd Tahir
Hasan, Mohammad Khatim
Sulaiman, Jumat
Muthuvalu, Mohana Sundaram
Josefina, Janier B.
INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2014 (ICOMEIA 2014), 2015, 1660
[30] Epileptic Electroencephalogram Classification using Relative Wavelet Sub-band Energy and Wavelet Entropy
Hadiyoso, S.
Irawati, I. D.
Rizal, A.
INTERNATIONAL JOURNAL OF ENGINEERING, 2021, 34 (01): : 75 - 81

← 1 2 3 4 5 →