By means of the principle of correlation analysis, this paper introduces an approximate method for estimating signal-to-noise ratio on random noise background.
本文利用相关分析的原理，提出一种在随机噪音的背景上估算信噪比的近似方法。
According to the excellent generalization performance and global optimal property for peak of SVM, the method can suppress the random additive noise more effectively in contrast with traditional ones.
由于利用了SVM泛化能力强、全局最优等特点，因此该方法与传统方法相比，能更有效地抑制随机加性噪声。
The experiments show that the proposed method retains the merits of maximum-minimum method and is simple and effective in random impulsive noise removal.
本文方法保留了最大-最小值方法去除随机脉冲噪声的优点，且检测算法简单，去噪快速有效。
应用推荐