Flow excitation source signal characteristic extraction method based on circular stationary density spectrum
The invention discloses a flow excitation source signal characteristic extraction method based on a circular stationary density spectrum. The method is characterized by through a circular stationary characteristic function, constructing an algorithm program and acquiring a preliminary processing res...
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Main Authors | , , , , |
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Format | Patent |
Language | Chinese English |
Published |
31.07.2018
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a flow excitation source signal characteristic extraction method based on a circular stationary density spectrum. The method is characterized by through a circular stationary characteristic function, constructing an algorithm program and acquiring a preliminary processing result; according to a normalization principle, carrying out normalization on the preliminary processing result, reducing an overall amplitude difference, making image performance be obvious, carrying out normalization and integrating, and acquiring the correlation information of a cycle frequency anda corresponding amplitude ratio; and finally, through a backstepping mode, reconstructing a signal and verifying the reliability of a signal model. Compared with a traditional theoretical derivation and spectral analysis mode, by using the method of the invention to extract a flow excitation source signal, the method is scientific and effective, and the established signal model has a greater practical guidance meaning.
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Bibliography: | Application Number: CN2018140323 |