Parameterized Local Maximum Synchrosqueezing Transform and its Application in Engineering Vibration Signal Processing
نویسندگان
چکیده
منابع مشابه
Synchrosqueezing-based Transform and its Application in Seismic Data Analysis
Seismic waves are non-stationary due to its propagation through the earth. Time-frequency transforms are suitable tools for analyzing non-stationary seismic signals. Spectral decomposition can reveal the non-stationary characteristics which cannot be easily observed in the time or frequency representation alone. Various types of spectral decomposition methods have been introduced by some resear...
متن کاملsynchrosqueezing-based transform and its application in seismic data analysis
seismic waves are non-stationary due to its propagation through the earth. time-frequency transformsare suitable tools for analyzing non-stationary seismic signals. spectral decomposition can reveal thenon-stationary characteristics which cannot be easily observed in the time or frequency representationalone. various types of spectral decomposition methods have been introduced by some researche...
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متن کاملWindowing Effects of Short Time Fourier Transform on Wideband Array Signal Processing Using Maximum Likelihood Estimation
During the last two decades, Maximum Likelihood estimation (ML) has been used to determine Direction Of Arrival (DOA) and signals propagated by the sources, using narrowband array signals. The algorithm fails in the case of wideband signals. As an attempt by the present study to overcome the problem, the array outputs are transformed into narrowband frequency bins, using short time Fourier tran...
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during the last two decades, maximum likelihood estimation (ml) has been used to determine direction of arrival (doa) and signals propagated by the sources, using narrowband array signals. the algorithm fails in the case of wideband signals. as an attempt by the present study to overcome the problem, the array outputs are transformed into narrowband frequency bins, using short time fourier tran...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: 2169-3536
DOI: 10.1109/access.2020.3031091