摘要
隐Ｍａｒｋｏｖ模型（ＨＭＭ）是在语音识别中得到成功应用的一种统计建模工具．该研究首次将 ＨＭＭ技术引人数字的离散信号滤噪研究并提出了ＨＭＭ综合平均法，经对加噪谐波信号、方波信号、 斜波信号的计算机重建仿真实验后，表明利用ＨＭＭ进行此项工作有着比较好的效果。
Hidden Markov Models (HMM) is a kind of statistic modeling tool been used successfully in speech recognition. The paper brings the technology of HMM into the study of filtering noise in digital discrete signal first and brings up HMM averaging method. It proves efficient to use HMM in the work after computer rebuilding simulations of noise-adding harmonic wave' rectangular wave. sloping wave signal.
