CAJ | 학술논문

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。
위제고강배경조성하빈보분석적특정제취능력，돌출소관심적특정보선，재비선성변환방법적기출상，제출료엄의비선성변환방법。대비분석결과표명：엄의비선성변환방법장고정적방대역치개위가변치，제고료해방법실제응용적령활성화괄용성，역우획득최가적특정보선증강효과。
To improve feature extraction capacity of spectrum analysis in strong background noise and highlight concerned characteristic spectral lines,this paper puts forward generalized nonlinear transforma-tion method based on nonlinear transformation method.After comparison analysis,the result shows that the magnified threshold is changed from fixed to adjustable in generalized nonlinear transformation meth-od,which improves the flexibility and applicability of actual application,and easy to acquire the best en-hancement effects of characteristic spectral line.