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DC Field | Value | Language |
---|---|---|
dc.contributor.author | ARORA, CHARUL | - |
dc.date.accessioned | 2019-10-03T06:24:46Z | - |
dc.date.available | 2019-10-03T06:24:46Z | - |
dc.date.issued | 2014-07 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/16595 | - |
dc.description.abstract | This work presents the time-frequency analysis of multi-component non-stationary signal. The method uses the iterative eigen value decomposition of Hankel matrix and analytic signal. The proposed work uses the wavelet transform to obtain the analytic signal. This analytic signal is used to find out the instantaneous parameters. The proposed method compares the instantaneous parameters obtained using Wavelet Transform (WT) method with the Hilbert Transform (HT) method. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD-4461; | - |
dc.subject | NON-STATIONARY SIGNAL ANALYSIS | en_US |
dc.subject | EIGEN VALUE DECOMPOSITION | en_US |
dc.subject | HANKEL MATRIX | en_US |
dc.subject | WAVELET TRANSFORM | en_US |
dc.title | NON-STATIONARY SIGNAL ANALYSIS USING EIGEN VALUE DECOMPOSITION OF THE HANKEL MATRIX & WAVELET TRANSFORM | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Electronics & Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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CHARUL ARORA_MTECH_THESIS.pdf | 2.08 MB | Adobe PDF | View/Open |
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