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flourierwavelet

于 2013-03-06 发布 文件大小:1KB
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代码说明:

  使用傅里叶变换和小波变换提取心电信号中的呼吸信号(Using the Fourier transform and the wavelet transform to extract the breathing signal ECG)

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    积分:1
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    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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    降水小波分析 用于分析降水序列的周期变化规律(Wavelet analysis of rainfall series for the analysis of the cycle variation of precipitation)
    2012-01-04 11:00:33下载
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  • Matlab 线性调频(LFM)脉冲压缩雷达仿真,
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    2020-06-27 10:00:02下载
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  • ImgReconstruction
    基于小波变换的图片重建 有完整代码 工程 以及说明 涉及到图片的切割(image reconstruction based on wavelet translate )
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    Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while bivariate shrinkage is adapted to their multiscale decomposition structure to provide the requisite sparsity constraint. Smoothing is achieved via a Wiener filter incorporated into iterative projected Landweber compressed-sensing recovery, yielding fast reconstruction. The proposed approach yields images with quality that matches or exceeds that produced by a popular, yet computationally expensive, technique which minimizes total variation. Additionally, reconstruction quality is substantially superior to that from several prominent pursuits-based algorithms that do not include any smoothing
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    Wavelet Neural networks
    2014-02-24 02:29:54下载
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  • Image_Processing
    数字图像获取, 处理及实践应用源代码——很多有用的图像处理的源代码:图像显示(原图、抖动),图像增强(灰度变换、直方图均衡、多种滤波器、伪彩色增强等),图像复原(运动模糊、逆滤波等等),图像变换(傅立叶变换、快速傅立叶变换、离散余弦变换、沃尔什变换、霍特林变换、小波变换、小波反变换),图像编码(霍夫曼编码、香浓-费诺编码、算术编码、位平面编码等),图像识别。(Digital image acquisition, processing and practical application source code- a lot of useful image processing source code: Image Display (image, jitter), image enhancement (gray-scale transformation, histogram equalization, multi-filter, pseudo-color enhancement, etc. ), image restoration (motion blur, inverse filtering, etc.), image transform (Fourier transform, fast Fourier transform, discrete cosine transform, Walsh transform, Hotelling transform, wavelet transform, wavelet transform), image coding (Huffman coding, Shannon- Fenno coding, arithmetic coding, bit plane coding, etc.), image recognition.)
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