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有人给出了一种旨在提高物探实测数据“信噪比”的频率域“最佳线性数字滤波器”。而最小平方滤波器则是上述滤波器的参变量λ恒取1时的特例。经验表明,最小平方滤波器用于重、磁数据处理,缺乏灵活性。因此,为适应实际资料中信号和干扰成份在组合上的千差万别,研究最佳线性滤波器参变量λ如何具体取值问题是很有必要的。本文讨论了λ在滤波器中的作用及其数值求解方法:编制了计算λ值的专用程序(为节约篇幅,未予刊出——编者);计算了一些模型组合的算例,并对计算结果作了初步分析。现分别介绍如下。
Someone gives a frequency domain that aims to improve the “signal-to-noise ratio” of the geophysical data “best linear digital filter.” The least squares filter is a special case when the parameter λ of the above filter is constant. Experience shows that the least square filter is used for heavy and magnetic data processing, lacking flexibility. Therefore, in order to meet the actual data in the signal and interference components vary widely, it is necessary to study how to determine the optimal linear filter parameter λ. This paper discusses the role of λ in the filter and its numerical solution method: a special program for calculating the value of λ is compiled (to save space, not published - editor); some examples of model combinations are calculated; The results made a preliminary analysis. Now introduced as follows.