一種新的基于小波變換的白噪聲消除方法
A NEW METHOD FOR WHITE NOISE REDUCTION BASED ON WAVELET TRANSFORM
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摘要: 本文研究了空間分布不均勻信號和白噪聲在小波變換下的不同特性,提出了一種新的基于小波變換的白噪聲消除方法。這種方法可以對非平穩(wěn)信號進行消噪處理,解決了傳統(tǒng)信號處理方法對非平穩(wěn)信號的局限性,并且有快速算法能夠加以實現(xiàn)。仿真結(jié)果證明這種方法具有很好的去噪效果。
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關(guān)鍵詞:
- 白噪聲; 噪聲消除; 小波變換
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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