Wavelets: a tutorial in theory and applications
Wavelets: a tutorial in theory and applications
Essential wavelets for statistical applications and data analysis
Essential wavelets for statistical applications and data analysis
Wavelet analysis: the scalable structure of information
Wavelet analysis: the scalable structure of information
EEG Analysis Using HHT: One Step Toward Automatic Drowsiness Scoring
AINAW '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - Workshops
Hilbert-huang transform based time-frequency distribution and comparisons with other three
IMACS'08 Proceedings of the 7th WSEAS International Conference on Instrumentation, Measurement, Circuits and Systems
Accurate instantaneous frequency estimation with iterated Hilbert transform and its application
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
Design of control systems based on vector error
WSEAS Transactions on Systems and Control
One or Two Frequencies? The Empirical Mode Decomposition Answers
IEEE Transactions on Signal Processing
De-noising by soft-thresholding
IEEE Transactions on Information Theory
Study on feature extraction and classification of ultrasonic flaw signals
WSEAS Transactions on Mathematics
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The effective noise reduction schemes in ultrasonic inspection have shown significant role for detection of flaws in materials. This paper presents the comparative result of noise reducing schemes based on Hilbert-Huang transform and Wavelet transform. The basic principle of HHT scheme includes two parts which are empirical mode decomposition (EMD) algorithm and a sum of intrinsic mode functions (IMF). By doing EMD process, the valuable information out of individual IMF can be maintained with reduced noise level for feature vectors. In the Wavelet transform, the signals are decomposed into low and high information and the feature vectors can be selected by Wavelet coefficients. In order to compare the performance of the two distinct schemes, this paper utilizes the soft and hard thresholding criterion on WT and HHT.