2007Unpublished venueRequires access

Pulse Signal De-Noising Based on Integer Lifting Scheme Wavelet Transform

Jing Li, Hao Sun, Yinjing Guo, Hongyu Sun

Open publisher page 7 citations

Abstract

In view of the defects of conventional wavelet transform in denoising the pulse signal, a new denoising method based on the integer lifting scheme is addressed .The integer lifting scheme works without Fourier transform, which inherits the multi-resolution characteristic of the conventional wavelet transform, and thus can speed the operation greatly. The paper using the translation invariant method based on the integer lifting scheme to denoise the pulse signal. Experiment results prove that this new method has high SNR and good performance in pulse signal processing.

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What this paper is about

In view of the defects of conventional wavelet transform in denoising the pulse signal, a new denoising method based on the integer lifting scheme is addressed .The integer lifting scheme works without Fourier transform, which inherits the multi-resolution characteristic of the conventional wavelet transform, and thus can speed the operation greatly. The paper using the translation invariant method based on the integer lifting scheme to denoise the pulse signal. Experiment results prove that this new method has high SNR and good performance in pulse signal processing.

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Available abstract

In view of the defects of conventional wavelet transform in denoising the pulse signal, a new denoising method based on the integer lifting scheme is addressed .The integer lifting scheme works without Fourier transform, which inherits the multi-resolution characteristic of the conventional wavelet transform, and thus can speed the operation greatly. The paper using the translation invariant method based on the integer lifting scheme to denoise the pulse signal. Experiment results prove that this new method has high SNR and good performance in pulse signal processing.

Key concepts: Lifting scheme, Wavelet transform, Second-generation wavelet transform, Harmonic wavelet transform, Wavelet, Algorithm, Stationary wavelet transform, Fractional Fourier transform

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