Output signal-to-noise ratio and rms error for different wavelet bases

Output signal-to-noise ratio and rms error for different wavelet bases

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The echo signals of the radar in complex backgrounds are often very unstable and thus require effective noise cancellation. In this paper, according to the characteristics of continuous wavelet variation and discrete wavelet variation, the decomposition effect of multi-resolution analysis and orthogonal Mallat algorithm on low-frequency and high-fr...

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... input signal-to-noise ratio of -10.8 dB to 10 dB is still taken for the study. For db8, db9, db10, and hior3.5 wavelet bases under three-layer decomposition, the variation of output SNR and RMS error with input SNR is shown in Fig. 6. For the input signal with different SNRs, the RMS error of db8 basis is 1.51 on average, that of db9 basis is 1.05 on average, that of db10 basis is 0.70 on average, and that of db8 basis is 0.53 on average. The improvement in SNR is basically the same for these wavelet bases, and the difference in output SNR is not significant. ...

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