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- W4210363483 abstract "The wavelet decomposition algorithm can decompose the signal into low-frequency coefficients and high-frequency coefficients, and perform de-noising processing on the high-frequency coefficients, can achieve the purpose of signal de-noising. This article we add Gaussian white noise and colored noise to the simulated echo signal. We use different wavelet functions and denoising methods to denoise the signal. The result shows that coif4 wavelet and correlation denoising approach have a good removal effect on Gaussian white noise, sym6 wavelet and modulus maximum denoising methods have good denoising effects on colored noise. Finally, we apply the wavelet function and denoising method, which are more effective in processing the simulated signal, to process the measured signal." @default.
- W4210363483 created "2022-02-08" @default.
- W4210363483 date "2021-11-21" @default.
- W4210363483 modified "2023-10-16" @default.
- W4210363483 title "[PDF Not Yet Available In IEEE Xplore]" @default.
- W4210363483 doi "https://doi.org/10.1109/piers53385.2021.9695059" @default.
- W4210363483 hasPublicationYear "2021" @default.
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