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This paper presents an approach for digital lattice filter roundoff noise reduction using error spectrum shaping (ESS). ESS roundoff noise expression for the one-, two-, three-, and four-multiplier lattice structures are derived. A numerical example for demonstrating the performance of the proposed ESS noise reduction in lattice filters is also presented.
The paper presents a novel image denoising algorithm based on grey absolute relational analysis of grey system theory. The time of applying grey system theory into noise reduction is not very long, and there are some imperfections left to be improved. We analyze the classic filter based on the grey relational analysis, and propose a novel approach to design the reference sequence, which may be much...
Raman spectrum is usually so weak that the noise usually distorts the interesting Raman bands. Especially, when the sample is focus, the strong fluorescence background often completely dominates Raman peaks. In this case, it is vital to remove fluorescence background for analyzing of Raman spectrum. Wavelet transform (WT) has proved to be a high-performance signal processing tool, and very efficient...
Wavelet transform (WT) was applied to de-noise Raman spectra. A simulated noisy Raman spectrum and the experimental Raman spectrum of benzene were de-noised using the level thresholding method and the interval thresholding method. The de-noising performances of the two methods were compared. The results showed that the interval thresholding method is more satisfactory than the level thresholding method,...
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