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A New Multiplicative Noise Elimination Method Based on Combining Homomorphic Filtering with Nonlinear Fourier Spectral Subtraction

机译:基于同态滤波与非线性傅里叶谱减法相结合的乘性噪声消除新方法

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摘要

When the spectrum of multiplicative noise is overlapped with the spectrum of the true signal, the effect of noise elimination is bad using homomorphic filtering method. The principle of Fourier spectral subtraction is analyzed, and a new method of multiplicative noise elimination based on homomorphic filtering and Fourier spectral subtraction is proposed. Firstly transform the Multiplicative noise into additive noise by means of homomorphic transform, then subtract the spectrum of noise in frequency domain using nonlinear Fourier spectral subtraction, finally get the original signal through inverse discrete Fourier transform, linear filtering and exponential transform. The results of simulation experiment show that, compared with homomorphic filtering, the output signal with this method is more likely to the real signal, and SNR(Signal to Noise Ratio) of output signal is improved remarkably, so it is a more effective method to eliminate the multiplicative noise.
机译:当乘性噪声的频谱与真实信号的频谱重叠时,使用同态滤波方法消除噪声的效果很差。分析了傅立叶谱减法的原理,提出了一种基于同态滤波和傅立叶谱减法的乘法噪声消除方法。首先通过同态变换将乘性噪声转换为加性噪声,然后使用非线性傅立叶谱减法在频域中减去噪声谱,最后通过离散傅立叶逆变换,线性滤波和指数变换得到原始信号。仿真实验结果表明,与同态滤波相比,该方法的输出信号更可能成为实信号,并且输出信号的SNR(信噪比)得到了显着提高,是一种更有效的方法。消除乘法噪声。

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