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Abstract:
The analysis of transient signals using classical techniques is frequently not satisfactory. The Fourier analysis is based on stationarity of the signaL and transients are nonstationary. A new technique for the analysis of this type of signal, called the Wavelet Transform, was applied to artificial and real signals. A brief theoretical comparison between the Short Time Fourier Transform and the Wavelet Transform is introduced A multisolution; analysis approach for implementing the transform was used. Computer code for the Discrete Wavelet Transform was implemented. Different types of wavelets to use as basis functions were evaluated. (KAR) P. 2
| Limitations: |
 APPROVED FOR PUBLIC RELEASE |
| Description: |
Master's thesis |
| Pages: |
148 |
| Report Date: |
MAR 95 |
| Report Number: |
A796792 |
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Keywords relating to this report:
