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Description: 此程序基于Matlab提升法实现第二代提升小波变换-This program is based on the second generation of lifting wavelet transform Matlab enhance law
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Size: 1024 |
Author: will |
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Description: 介绍了提升小波的一些基本概念，并通过C++Builder 编写了图像的提升小波变换，-Some of the basic concepts of lifting wavelet, lifting wavelet transform by C++Builder have been run.
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Size: 36864 |
Author: yuanxiaocui |
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Description: 基于VHDL，实现JPGE2000标准中的5/3小波，实现提升小波变换。-Based on VHDL, JPGE2000 standard 5/3 wavelet, lifting wavelet transform.
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Size: 2048 |
Author: michelle |
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Description: 运用提升小波对轴承数据进行去噪并仿真出图。-Lifting wavelet de-noising bearing data and simulation Figure
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Size: 1024 |
Author: 周强 |
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Description: 任意偶数大小图像第二代双正交97提升小波变换-Any even-size image biorthogonal 97 lifting wavelet transform
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Size: 3072 |
Author: 冯捷 |
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Description: 关于提升小波的一些程序与教程，可直接运行成功。-Procedures and tutorials on lifting wavelet can be directly run successfully.
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Size: 1024 |
Author: 冯捷 |
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Description: 简单实现了一下提升小波变换。包括Haar，（1，1），5/3，9/7 提升结构-Simple implementation of lifting wavelet transform. Including Haar, (1,1), 5/3, 9/7 Lifting
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Size: 2048 |
Author: 冯捷 |
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Description: 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.
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Size: 11264 |
Author: michael |
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Description: 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.
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Size: 12288 |
Author: michael |
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Description: 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.
Platform: |
Size: 10240 |
Author: michael |
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Description: 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.
Platform: |
Size: 12288 |
Author: michael |
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Description: 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.
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Size: 18432 |
Author: michael |
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Description: 提升小波程序，主要用于除噪，提取时效分量等-Lifting wavelet procedures, mainly for noise removal, extraction component aging, etc.
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Size: 1024 |
Author: 朱凯 |
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Description: 图像通信和图像处理方面的小波提升知识，介绍了几种常用的提升方法-Image communication and image processing wavelet lifting knowledge, describes several commonly used methods to enhance the
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Size: 1176576 |
Author: zyl |
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Description: 改进提升小波，通过改变阈值，来达到消噪，比以前的小波消噪效果更好-Improved lifting wavelet by changing the threshold to achieve de-noising, than the previous wavelet denoising better
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Size: 1024 |
Author: 真人 |
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Description: 对齿轮箱故障进行提升小波去噪分解重构，准确判断初故障类型-Gearbox fault on lifting wavelet de-noising decomposition and reconstruction and accurately determine the beginning of the fault type
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Size: 1024 |
Author: 姜旭刚 |
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Description: 基于提升小波变换的数字图像压缩编码，程序可以直接运行-Based on lifting wavelet transform digital image compression coding, the program can be run directly
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Size: 924672 |
Author: huangqing |
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Description: 离散小波变换和方向提升小波变换的小波系数以及分解，重构。-Discrete wavelet transform and direction of lifting wavelet coefficients of wavelet transform and decomposition, reconstruction.
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Size: 964608 |
Author: zhangjian |
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Description: 先对信号进行提升小波分解，然后构造传统小波分解结构[c,l]；接着使用函数ddencmp获取信后压缩阈值，最后采用函数wdencmp实现信后压缩。-First signal lifting wavelet decomposition, and then construct the traditional wavelet decomposition structure [c, l] then use the function to get the letter ddencmp compression threshold, and finally achieved using the function wdencmp letter after compression.
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Size: 1024 |
Author: 梅翠松 |
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Description: 图像融合论文，基于提升小波变换与自适应PCNN的医学图像融合方法-Image fusion papers, medical image fusion method based on lifting wavelet transform and adaptive PCNN' s
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Size: 431104 |
Author: 冯晓洁 |
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