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liftwaveletpack
提升小波包学习资料，对了解学习提升小波包，研究算法的改进很有帮助(Lifting wavelet package learning materials, learning to enhance the understanding of wavelet packet of helpful Algorithm)
- 2010-10-21 21:34:13下载
- 积分：1
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TAnalysis
说明： 傅立叶功率谱法求纹理特征
可解压缩后直接执行(Fourier power spectrum method for texture features can be extracted directly after implementation)
- 2006-04-09 09:28:27下载
- 积分：1
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ShearletTransform_Matlab
说明： shearlet变换matlab工具箱，可用于图像降噪、融合(Shearlet transform matlab toolbox can be used for image denoising and fusion)
- 2019-03-21 08:42:13下载
- 积分：1
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compression
主要用于图像经小波变换压缩图像，并计算压缩后的图像压缩性能即压缩比和信噪比(Mainly used for image compression by wavelet transform image, and calculate the compressed image compression performance that the compression ratio and signal to noise ratio)
- 2010-01-29 16:10:02下载
- 积分：1
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lift97mlhard
个人编写的提升格式97小波去噪，采用硬阈值法，三层分解，包括小波变换，去噪，逆变换三步(Written format of 97 individuals to enhance the wavelet denoising using hard threshold method, three decomposition, including wavelet transforms, denoising, inverse transform three-step)
- 2020-06-29 04:20:02下载
- 积分：1
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CDBN_sleepEEG
用卷积深度置信网络CDBN的方法来处理睡眠EEG;(use Convolutional deep belief networks to sleep EEG)
- 2021-03-19 12:09:19下载
- 积分：1
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work
说明： 有小波分解求小波熵，还有小波包技术求解信号特征，适应与分析脑电信号特征(Seeking a wavelet decomposition wavelet entropy, and wavelet packets technique to solve the signal characteristics, and analysis of EEG characteristics of adaptation)
- 2011-03-02 19:53:44下载
- 积分：1
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wavelet
说明： 关于小波变换的一些常用函数，有关多尺度变换，希望可以帮助您(Wavelet commonly used functions, on multi-scale transformation, I hope to help you)
- 2019-03-27 20:49:30下载
- 积分：1
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小波对图像的二次压缩.
说明： 给出了在matlab环境下的源代码，经过了上机调试，可以实现小波变换对图像的二次压缩！(given Matlab environment in the source code, after the Machine, can achieve a wavelet transform of the second image compression!)
- 2005-09-19 10:59:51下载
- 积分：1
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wavelet_lab2
对图像做二维离散小波变换，分解级数为3级，并重构图像，不直接调用Matlab的dwt和idwt函数。(pair of 2-dimensional images DWT, decomposition of the three series, and Image Reconstruction, not directly call Matlab dwt and idwt function.)
- 2006-12-03 11:39:43下载
- 积分：1
