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- secondary wavelet transforms 二次小波变换
- 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。
- In this paper, nonseparable multivariate wavelet transforms of the general form are presented. 摘要提出了一般形式不可分离变量的多元小波变换。
- The wavelet transforms theory is introduced，the principleof MFL signal de-noising is illuminated. 介绍了小波变换理论，说明去除漏磁信号噪声原理。
- This paper introduces a new compression technique:Subband Coding and Wavelet Transforms,and discusses the fast algorithm of Wavelet Transforms. 介绍了新的压缩技术子带编码和小波变换，并讨论了计算小波变换的快速算法。
- This paper introduces a new compression technique：Subband Coding and Wavelet Transforms，and discusses the fast algorithm of Wavelet Transforms. 介绍了新的压缩技术子带编码和小波变换,并讨论了计算小波变换的快速算法。
- R. M. Rao and A. S. Bopardikar, Wavelet Transforms: Introduction to Theory and Applications, Addison-Wesley, Tokyo, 1998. 钟国亮编著，“资料压缩的原理与应用”，第二版，全华科技图书，2004。
- The application perspective of wavelet transforms to ECG characteristic points recognition is predicted through the analysis of the results. 通过对结果的分析展望了小波变换的方法在心电图特征点识别中的应用前景。
- Continuous wavelet transforms (CWT) have lots of applications in the field of signal processing due to its unique characteristics. 连续小波变换(CWT)由于其优良的特性,在信号处理的许多领域得到了应用。
- M.R. Raghuveer and A.J. Bopardikar, Wavelet Transforms：Introduction to Theory and Applications, Addison Wesley Longman, Inc, Massachusetts, 1998. 陈鸿龙，“在分散式系统中运用双层式储存架构的检查点设置机制”，硕士论文，台湾科技大学，2004年。
