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- Bionic wavelet transform (BWT) 仿生小波变换
- bionic wavelet transform 仿生小波变换
- Objective Apply wavelet transform to denoise medical image. 摘要目的利用小波变换进行医学图像去噪。
- Denoising analysis of OTDR data based on wavelet transform[J]. 引用该论文 王韶波;李康;孔繁敏;吴涛.
- Methods of signal processing in LIA based on wavelet transform[J]. 引用该论文 杨兴林;王华岑;徐铁铮;李劲.
- By using wavelet transform, the emission of HHG in different time is obtained. 利用小波变换，观察了高次谐波在不同时刻的发射情况。
- In this paper, wavelet transform with nonlinear scale (NWT) is introduced. 我们介绍了一种非线性尺度小波变换(Wavelettransformwithnonlinearscale,NWT)。
- Usually,wavelet transform module maximum accords with saltation points. 小波变换模的极值点常对应于信号突变点。
- The wavelet transform is used to analyze some voltage signals what it detected. 利用小波变换对所检测到的电压信号进行了分析。
- Finally, the fused image was reconstructed through inverse wavelet transform. 最后，通过小波逆变换得到融合图像。
- Wavelet transform is an efficient mathematical tool for singularity detection. 小波变换是检测信号奇异点的种有效的数学工具。
- Objective Compressing medical images in DICOM format by wavelet transform. 目的利用小波变换实现对医学DICOM图像压缩。
- Wavelet transform is of good localization property in signal analysis. 小波变换在信号分析中具有良好的局部化特性。
- This paper presents an image watermarking technology based on disperse wavelet transform. 提出了一种子离散小波变换域实现图象水印的方法。
- A lossless scheme of a binary image watermark based on wavelet transform is proposed. 摘要针对二值水印图像，提出一种基于小波的无损的数字水印系统。
- The wavelet transform(WT) is a new mathematical tool which will show great prospects in the NIR field. 同时，阐述了光谱的预处理，其中的小波变换方法是一种新的数学工具，有著广泛的应用前景。
- Basic theories, algorithms and applications of wavelet transform (WT) were described in this paper. 摘要介绍了小波变换的基本理论并对小波变换的常用算法和应用进行了评述。
- Firstly, the characters of wavelet transform and wavelet packet analysis were introduced. 首先，简略地介绍了小波变换与小波包分析的特点。
- Objective To explore the application of wavelet transform in medical image processing. 摘要目的探索小波变换在医学图像处理中的应用。
- Application of wavelet transform to monthly runoff time serial analysis in Zagunao watershed,the upper Minjiang River. 小波变换在岷江上游杂古脑流域径流时间序列分析中的应用
