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为提高强背景噪声下频谱分析的特征提取能力,突出所关心的特征谱线,在非线性变换方法的基础上,提出了广义非线性变换方法。对比分析结果表明:广义非线性变换方法将固定的放大阈值改为可变值,提高了该方法实际应用的灵活性和适用性,易于获得最佳的特征谱线增强效果。
In order to improve the feature extraction ability of spectrum analysis under strong background noise and highlight the characteristic spectral lines of interest, a generalized nonlinear transformation method is proposed based on the nonlinear transformation method. The results of comparative analysis show that the generalized non-linear transformation method can change the fixed amplification threshold to a variable value, which improves the flexibility and applicability of the method and makes it easy to obtain the best enhancement of characteristic lines.