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Development of a wavelet-based algorithm to detect and determine ...

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7 Algorithm <strong>to</strong> <strong>determine</strong> certain kind <strong>of</strong> disturbances 53<br />

7.1 Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53<br />

7.2 Analyzation <strong>of</strong> the disturbances . . . . . . . . . . . . . . . . . . . . . . . . 55<br />

7.2.1 Detecting <strong>and</strong> localizing in time a disturbance . . . . . . . . . . . 55<br />

7.2.2 Identifying the disturbance . . . . . . . . . . . . . . . . . . . . . . 57<br />

7.2.3 Generalizing the classification pattern . . . . . . . . . . . . . . . . 58<br />

7.3 MATLAB implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . 60<br />

7.3.1 Program modules . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60<br />

7.3.2 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61<br />

8 Conclusion <strong>and</strong> Look-Out 63<br />

List <strong>of</strong> figures 65<br />

List <strong>of</strong> tables 66<br />

Bibliography 67<br />

III

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