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Journal of Applied Sciences
  Year: 2008 | Volume: 8 | Issue: 8 | Page No.: 1541-1547
DOI: 10.3923/jas.2008.1541.1547
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Development of Integrated Kurtosis-Based Algorithm for Z-Filter Technique

M.Z. Nuawi, M.J. M. Nor, N. Jamaludin, S. Abdullah, F. Lamin and C.K. E. Nizwan

This study presents the development of an alternative statistical analysis method called Integrated Kurtosis-based Algorithm for Z-filter (I-kaz). The I-kaz analysis was developed in order to measure the degree of data scattering with respect to the data centroid for a dynamic signal analysis. The I-kaz parameter of a particular signal was determined by the value of I-kaz coefficient. The algorithm of I-kaz analysis provides a three dimensional graphic display of the magnitude distribution, which each axis represents the data distribution of the signal at three different frequency ranges. The I-kaz method which is a graphic-based technique is a proactive signal analysis tools because the relevant information can be extracted and the I-kaz space of scattering can be directly interpreted. The reliability of the I-kaz method has been evaluated by observing the I-kaz coefficient for a multivariate signal analysis and the trend of the coefficient values were compared to the existing statistical parameters, which are the standard deviation, variance, kurtosis and root mean square (rms). Finally, the applicability of the I-kaz method was accordingly verified.
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  •    Characterisation of Polymer Material Using I-Kaz™ Analysis Method under Impact Hammer Excitation Technique
  •    Characterisation of Mechanical Properties Using I-Kaz Analysis Method under Steel Ball Excitation Technique
  •    Integrated Kurtosis-Based Algorithm for Z-Notch Filter (I-kazTM) Multilevel Coefficients Responses toward the Simultaneous Changes in Amplitude and Frequency of Signals
How to cite this article:

M.Z. Nuawi, M.J. M. Nor, N. Jamaludin, S. Abdullah, F. Lamin and C.K. E. Nizwan, 2008. Development of Integrated Kurtosis-Based Algorithm for Z-Filter Technique. Journal of Applied Sciences, 8: 1541-1547.

DOI: 10.3923/jas.2008.1541.1547






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