| 数字离散信号滤器HMM综合平均法的研究 |
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| 引用本文： | 童进,吴昭同.数字离散信号滤器HMM综合平均法的研究[J].浙江大学学报(自然科学版 ),2000,34(3):312-316. |
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| 作者姓名： | 童进 吴昭同 |
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| 作者单位： | 浙江大学机械工程学系!浙江杭州310027 |
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| 摘 要： | 隐Ｍａｒｋｏｖ模型是在语音识别中得到了成功应用的一种统计建模工具。该研究首次将ＨＭＭ技术引入数字的离散信号滤噪研究并提出了ＨＭＭ综合平均法，经对加噪谐信号，方波信号、斜小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。
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| 关 键 词： | 数字离散信号 滤波 噪声 语音识别 HMM综合平均 |
| 修稿时间： | 1997-11-17 |
Study
of filtering noise in digital discrete signal
via HMM averaging method |
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| TONG Jin, WU Zhao-tong, DING Qi-quan, YAN Gong-biao.Study
of filtering noise in digital discrete signal
via HMM averaging method[J].Journal of Zhejiang University(Engineering Science),2000,34(3):312-316. |
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| Authors: | TONG Jin WU Zhao-tong DING Qi-quan YAN Gong-biao |
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| Abstract: | 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. |
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| Keywords: | Hidden Markov Models digital discrete signal filtering noise |
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