摘要
介绍采用最优频率匹配法进行频段滤波的基本原理,通过实际声波的信号分离,考察分离后信号的声音效果,验证了最优频率匹配法的合理性与完整性,并将该方法成功地应用于某矿区井间声波成析成像信号的滤波处理。在此基础上,比较了该方法与常规滤波方法的异同;指出了它们之间的主要差别在于匹配滤波能够从整体上保持分离后信号的协调和各自的独立性,滤波后能够获得比较完整的频段信号和匹配滤波信号;匹配滤波与常规滤波的数值差异主要表现在滤波信号的两端。通过对声波CT信号的匹配滤波处理,实现了该矿区噪声信号的分类,提取了相应的特征参数。这些工作的开展为以后科学合理地进行信号分离,以及信号与噪声的定量化处理创造了条件。
This paper introduces a new filter method—Optimum Matching Frequency Filter(OMFF). With practical acoustical signal separation by the method, that different integral sub-sound waves can be rationally obtained from a digital sound recording. Compared with other methods, such as Wiener and Kalman Filter, OMFF is the best tool to abstract sound signals from their combination one. Each sub-signal can maintain its own independence and good timbre if OMFF is used to separate them. On base of the above work, OMFF is successfully used to filter noises from cross-hole sounding topography signals obtained from a mine in East China, different kinds of noise are classified and their characterstic parameters are quantitatively determined. The results show that OMFF is a very effective method in acoustical signal processing.
出处
《物探化探计算技术》
CAS
CSCD
2005年第2期166-170,共5页
Computing Techniques For Geophysical and Geochemical Exploration
关键词
最优频率匹配法
匹配滤波
信号分离
信号处理
井间声波层析成像
optimum matching frequency method
optimum matching frequency filter
signal separation
signal processing
cross-hole tomography imaging
