| 基于DSP Builder的脑电信号小波处理 |
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| 引用本文： | 谢宏,刘玉霞,金曼,夏斌. 基于DSP Builder的脑电信号小波处理[J]. 国外电子元器件, 2009, 0(9): 76-79 |
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| 作者姓名： | 谢宏 刘玉霞 金曼 夏斌 |
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| 作者单位： | 上海海事大学信息工程学院; |
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| 摘 要： | 针对脑电信号非平稳性特点，利用小波变换对采集到的脑电信号进行滤波处理。然而小波变换巨大的计算量限制其在高速实时信号处理领域的应用，FPGA器件兼具并／串行工作方式，具有较高的并行计算能力，在现场数字信号处理领域具有较强的实时性。提出基于FPGA的小波变换系统设计方法，首先利用DB2小波对脑电信号按Mallat算法进行分解，然后采用小波重构算法去噪。试验结果表明，运用小波分解重构算法，可以对脑电信号进行实时滤波。
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| 关 键 词： | 小波变换 脑电信号 DSP Builder Mallat算法 FPGA |
Wavelet processing on EEG signal based on DSP Builder |
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| XIE Hong,LIU Yu-xia,JIN Man,XIA Bin. Wavelet processing on EEG signal based on DSP Builder[J]. International Electronic Elements, 2009, 0(9): 76-79 |
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| Authors: | XIE Hong LIU Yu-xia JIN Man XIA Bin |
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| Affiliation: | XIE Hong,LIU Yu-xia,JIN Man,XIA Bin(School of Information Engineering,Shanghai Maritime University,Shanghai 200135,China) |
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| Abstract: | Aiming at the non-stationary feature of EEG signal,this paper uses the wavelet transform to denoise the EEG signal.However,since the complex computation of wavelet transform,it is hardly used in high real-time fields.While the FPGA devices can work in parallel model and serial model,and they have the high-speed computation,so it is more efficient in real-time fields.So a method of design wavelet transform system based on FPGA is presented,firstly,based on the Mallat algorithm,the EEG signal is decomposed by... |
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| Keywords: | wavelet transform EEG(Electroencephalograph)signal DSP Builder Mallat algorithm FPGA |
| 本文献已被 CNKI 维普 等数据库收录！ |
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