论文部分内容阅读
在简单回顾奇异值法压制随机噪音的基础上, 指出信号的同相性与奇异值数目之间的关系是影响奇异值法效果的主要因素。基于这一点, 采用多道相关分析与奇异值分解相结合的方法压制随机噪音。模型试算和实际资料处理的结果表明这种方法在实际应用中是可行的。
On the basis of simply reviewing the singular value method to suppress random noise, it is pointed out that the relationship between the signal inphase and the number of singular values is the main factor that affects the effect of singular value method. Based on this, we use a method of multi-correlation analysis and singular value decomposition to suppress random noise. The results of model trial and actual data processing show that this method is feasible in practice.