| 光滑奇异性信号的小波检测及其应用 |
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| 引用本文： | 赵学智,林颖,陈文戈,叶邦彦,陈统坚. 光滑奇异性信号的小波检测及其应用[J]. 信号处理, 2000, 0(Z1) |
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| 作者姓名： | 赵学智 林颖 陈文戈 叶邦彦 陈统坚 |
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| 作者单位： | 华南理工大学机电系(赵学智，林颖，叶邦彦，陈统坚)，广东工业大学机电系(陈文戈) |
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| 摘 要： | 本文从理论上分析了小波变换对被光滑化了的奇异性信号进行处理的效果，证明了小波与高斯函数、小波与任意光滑函数的卷积仍是一个小波．并实际应用于刀具磨损时切削力信号的检测，结果表明可有效地分析刀具的磨损状况．
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| 关 键 词： | 奇异性信号 光滑函数 小波 切削力信号 模极大值 |
Detection of Smoothing Singular Signal with Wavelet and Its' Application |
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| Zhao Xuezhi Chen Wenge. Detection of Smoothing Singular Signal with Wavelet and Its' Application[J]. Signal Processing(China), 2000, 0(Z1) |
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| Authors: | Zhao Xuezhi Chen Wenge |
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| Abstract: | The effect of wavelet transformatio on singular signal which is smoothed is analyzed theoretically, And on conclusion that convolution of wavelet with gaussian,convolution of wavelet with any smoothing are still wavelet functions is drawn in this paper As a result wavelet transformation is applied to the cutting force signal to detect tools wear Tool's wear state can be analyzed effectively by the module maximum value point in the Wavelet transformation results. |
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| Keywords: | Singular Sigh Smoothing Function Wavelet Cutting Force Signal Module Maximum Valul |
| 本文献已被 CNKI 等数据库收录！ |
