Comparison of the short-time Fourier transform and wavelet transform for analysis of transient signal events /
a significant computational penalty. Also, short frame
| Main Author: | |
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1994.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | a significant computational penalty. Also, short frame ability. The wavelet transform is shown to detect transients advantage in terms of TSR and, most importantly, and execution speed. Simulations for the STFT show that and SNR, while the wavelet transform displays a substantial better using the longer wavelet filters in most cases, at a computational requirements. data. Comparisons are made using spectrograms/scalograms, detection are examined by means of computer simulation. The frame sizes, orders, and frame overlaps. The wavelet in a masking sinusoidal signal, speech data, and DC arcing including: test files with transients embedded in noise and lengths for the STFT lead to better transient detection less substantial computational penalty. Performance of the Several types of data are analyzed using both transforms, shown to be similar in comparisons of spectrograms/scalograms signal-to-noise ratio (SNR), transient-to-signal ratio (TSR), significant gains can be made by overlapping input frames, at STFT uses a power-of-two decimation-in-time FFT with various The performance characteristics of the wavelet transform and the short-time Fourier transform (STFT) for transient transform uses the Daubechies orthonormal wavelet filters. wavelet transform and the STFT for transient detection are |
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| Item Description: | "Major subject: Electrical Engineering". Vita. |
| Physical Description: | x, 97 leaves : illustrations ; 28 cm. Also available online. |
| Bibliography: | Includes bibliographical references. |