噪声失效去噪
Noise Invalidation Denoising
摘要：
提出了一种基于噪声失效的去噪方法。自适应方法从噪声顺序统计量中导出噪声特征，并利用该特征对数据进行去噪。这种方法的新颖性在于提出了一种通用的去噪，在这个意义上，它不需要对无噪声信号的结构采用任何特定的假设，例如系数的数据平滑度或稀疏度。该方法的一个优点是在任何完整的基变换（正交或非正交）中对损坏的数据进行去噪。实验结果表明，所提出的方法，称为噪声无效去噪（NIDe），优于现有的去噪方法的均方误差（MSE）。
英文摘要：
A denoising technique based on noise invalidation is proposed. The adaptive approach derives a noise signature from the noise order statistics and utilizes the signature to denoise the data. The novelty of this approach is in presenting a general-purpose denoising in the sense that it does not need to employ any particular assumption on the structure of the noise-free signal, such as data smoothness or sparsity of the coefficients. An advantage of the method is in denoising the corrupted data in any complete basis transformation (orthogonal or non-orthogonal). Experimental results show that the proposed method, called Noise Invalidation Denoising (NIDe), outperforms existing denoising approaches in terms of Mean Square Error (MSE).
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