Optimization of integrated kurtosis-based algorithm for Z-filter (I-kaz™) coefficient using multi level signal decomposition technique

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Abstract

This paper presents the development of optimized Integrated Kurtosis-based Algorithm for Z-filter (I-Kaz™) Coefficient using multilevel signal decomposition technique. The I-Kaz™ coefficient (Z·) was originally developed base on the 2 nd order of Daubechies signal decomposition. Higher order of I-Kaz™ coefficients, 3 rd order ( 3Z·), 4 th order ( 4Z·), 5 th order ( 5Z·), 6 th order ( 6Z·) and 7 th order ( 7Z·) were investigated by analyzing their response using two types of synthetic signals, TSA and TSB. The optimized order of I-kaz Multi Level coefficient was chosen base on the sensitiveness of the coefficient response with respect to the changes of amplitude in TSA and frequency in TSB synthetic signals. This study indicated that the response of all orders of I-kaz Multi Level coefficients showed an increasing trend with respect to the increment in amplitude and frequency of TSA and TSB signals respectively. The 6 th order of I-kaz coefficient, 6Z· was the most efficient coefficient since it showed the highest sensitivity for both types of synthetic signals. The optimized level of I-kaz coefficient 6Z·, which is more sensitive than the current I-Kaz™ coefficient Z4 can be used for analyzing dynamic signals.

Original languageEnglish
Pages (from-to)1541-1548
Number of pages8
JournalWorld Applied Sciences Journal
Volume14
Issue number10
Publication statusPublished - 2011

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Keywords

  • Digital signal filtering
  • Digital signal processing
  • Kurtosis
  • Statistical analysis

ASJC Scopus subject areas

  • General

Cite this

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title = "Optimization of integrated kurtosis-based algorithm for Z-filter (I-kaz™) coefficient using multi level signal decomposition technique",
abstract = "This paper presents the development of optimized Integrated Kurtosis-based Algorithm for Z-filter (I-Kaz™) Coefficient using multilevel signal decomposition technique. The I-Kaz™ coefficient (Z·) was originally developed base on the 2 nd order of Daubechies signal decomposition. Higher order of I-Kaz™ coefficients, 3 rd order ( 3Z·), 4 th order ( 4Z·), 5 th order ( 5Z·), 6 th order ( 6Z·) and 7 th order ( 7Z·) were investigated by analyzing their response using two types of synthetic signals, TSA and TSB. The optimized order of I-kaz Multi Level coefficient was chosen base on the sensitiveness of the coefficient response with respect to the changes of amplitude in TSA and frequency in TSB synthetic signals. This study indicated that the response of all orders of I-kaz Multi Level coefficients showed an increasing trend with respect to the increment in amplitude and frequency of TSA and TSB signals respectively. The 6 th order of I-kaz coefficient, 6Z· was the most efficient coefficient since it showed the highest sensitivity for both types of synthetic signals. The optimized level of I-kaz coefficient 6Z·, which is more sensitive than the current I-Kaz™ coefficient Z4 can be used for analyzing dynamic signals.",
keywords = "Digital signal filtering, Digital signal processing, Kurtosis, Statistical analysis",
author = "Z. Karim and Nuawi, {Mohd. Zaki} and {A Ghani}, Jaharah and Shahrum Abdullah and Ghazali, {Mariyam Jameelah}",
year = "2011",
language = "English",
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journal = "World Applied Sciences Journal",
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T1 - Optimization of integrated kurtosis-based algorithm for Z-filter (I-kaz™) coefficient using multi level signal decomposition technique

AU - Karim, Z.

AU - Nuawi, Mohd. Zaki

AU - A Ghani, Jaharah

AU - Abdullah, Shahrum

AU - Ghazali, Mariyam Jameelah

PY - 2011

Y1 - 2011

N2 - This paper presents the development of optimized Integrated Kurtosis-based Algorithm for Z-filter (I-Kaz™) Coefficient using multilevel signal decomposition technique. The I-Kaz™ coefficient (Z·) was originally developed base on the 2 nd order of Daubechies signal decomposition. Higher order of I-Kaz™ coefficients, 3 rd order ( 3Z·), 4 th order ( 4Z·), 5 th order ( 5Z·), 6 th order ( 6Z·) and 7 th order ( 7Z·) were investigated by analyzing their response using two types of synthetic signals, TSA and TSB. The optimized order of I-kaz Multi Level coefficient was chosen base on the sensitiveness of the coefficient response with respect to the changes of amplitude in TSA and frequency in TSB synthetic signals. This study indicated that the response of all orders of I-kaz Multi Level coefficients showed an increasing trend with respect to the increment in amplitude and frequency of TSA and TSB signals respectively. The 6 th order of I-kaz coefficient, 6Z· was the most efficient coefficient since it showed the highest sensitivity for both types of synthetic signals. The optimized level of I-kaz coefficient 6Z·, which is more sensitive than the current I-Kaz™ coefficient Z4 can be used for analyzing dynamic signals.

AB - This paper presents the development of optimized Integrated Kurtosis-based Algorithm for Z-filter (I-Kaz™) Coefficient using multilevel signal decomposition technique. The I-Kaz™ coefficient (Z·) was originally developed base on the 2 nd order of Daubechies signal decomposition. Higher order of I-Kaz™ coefficients, 3 rd order ( 3Z·), 4 th order ( 4Z·), 5 th order ( 5Z·), 6 th order ( 6Z·) and 7 th order ( 7Z·) were investigated by analyzing their response using two types of synthetic signals, TSA and TSB. The optimized order of I-kaz Multi Level coefficient was chosen base on the sensitiveness of the coefficient response with respect to the changes of amplitude in TSA and frequency in TSB synthetic signals. This study indicated that the response of all orders of I-kaz Multi Level coefficients showed an increasing trend with respect to the increment in amplitude and frequency of TSA and TSB signals respectively. The 6 th order of I-kaz coefficient, 6Z· was the most efficient coefficient since it showed the highest sensitivity for both types of synthetic signals. The optimized level of I-kaz coefficient 6Z·, which is more sensitive than the current I-Kaz™ coefficient Z4 can be used for analyzing dynamic signals.

KW - Digital signal filtering

KW - Digital signal processing

KW - Kurtosis

KW - Statistical analysis

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