| FFT和小波变换在信号降噪中的应用 |
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| 引用本文： | 刘鲭洁,陈桂明,刘晓方,占军. FFT和小波变换在信号降噪中的应用[J]. 数据采集与处理, 2009, 24(Z1) |
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| 作者姓名： | 刘鲭洁 陈桂明 刘晓方 占军 |
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| 作者单位： | 第二炮兵工程学院,西安,710025 |
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| 摘 要： | 信号降噪是指滤除信号的高频噪声从而使信号尽量接近真实值,这是信号处理的关键环节.在分析FFT和小波变换的基础上,采用这两种方法对加入随机噪声的信号进行降噪处理,并在MATLAB平台上仿真实现.用基于信号降噪的两大准则对两种降噪结果进行分析,表明小波变换在该信号的降噪处理中有明显的优势.
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| 关 键 词： | 信号处理 信号降噪 小波变换 |
Application of FFT and Wavelet in Signal Denoising |
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| Abstract: | The signal denoising is a method for filtering the high-frequency noise of the signal and makes the signal more precise.By analyzing the theory of FFT and the wavelet transform,FFT and the wavelet transform methods are applied in signal denoising and simulated on MATLAB.Based on the two rules of the signal denoising,the denoising results are analyzed.The result shows that the wavelet transform is more effective in the signal denoising. |
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| Keywords: | FFT signal processing signal denoising FFT wavelet transform |
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