一种新的基于小波变换的白噪声消除方法
A NEW METHOD FOR WHITE NOISE REDUCTION BASED ON WAVELET TRANSFORM
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摘要: 本文研究了空间分布不均匀信号和白噪声在小波变换下的不同特性,提出了一种新的基于小波变换的白噪声消除方法。这种方法可以对非平稳信号进行消噪处理,解决了传统信号处理方法对非平稳信号的局限性,并且有快速算法能够加以实现。仿真结果证明这种方法具有很好的去噪效果。
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关键词:
- 白噪声; 噪声消除; 小波变换
Abstract: This paper reviews different properties of non-stationary signals and white noise after wavelet decomposition, and presents a new method of white noise reduction based on wavelet transform which can be realized with fast algorithm. The simulation results show that the method can be applied to white noise reduction of non-stationary signals efficiently. -
Mallat S. Singularity detection and processing with wavelets. IEEE Trans. on IT, 1992, IT-38(2): 617-642.[2]Mallat S. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. on PAMI, 1989, PAMI-11(7): 674-693.[3]Daubechies I. Orthonomal bases of compactly supported wavelets. Comm. Pure and Appl. Math. 1988.41: 909-996. -
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