搜索资源列表
mywavelet
- 小波变换算法的C语言实现，包括DWT,INDWT,提升小波，以及小波去噪的MATLAB源代码-wavelet transform algorithm in C language, including DWT, INDWT upgrade wavelet Wavelet denoising and MATLAB source code
toolbox_liftwave
- 一个提升小波变换的matlab工具包。可以实现97，53，haar等系列的提升小波分解与重构。-an upgrade wavelet transform Matlab tool kit. 97,53 can be achieved, haar series of lifting wavelet decomposition and reconstruction.
wavelet_lifting_97
- 97提升小波变换的MATLAB程序，对初学者有帮助。
lwt
- 用matlab编写的提升小波算法，应用于图像处理，很好用
15615
- matlab一维提升小波变换，二维提升小波变换-matlab one-dimensional wavelet transform, two-dimensional lifting wavelet transform
wavelet
- 基于快速提升小波变换与 人眼视觉特性的数字水印算法-tishengbiaobo
test53
- 可伸缩视频中的5_3小波变换。运动补偿时间滤波是一种有效的可伸缩视频编码方案,采用5 /3提升小波实现能进一步提高其编码性能-Scalable video in the wavelet transform 5_3. Time motion compensation filter is an effective scalable video coding schemes, using 5/3 lifting wavelet to achieve further improve its coding
fjxhfj
- 实现db6小波提升变换，对信号进行5层分解和重构。另外被屏蔽的部分为离散小波变换。-Enhance the realization of wavelet transform db6, 5 layers of signal decomposition and reconstruction. In addition to being part of shielding DWT.
tsxbxz
- 本程序实现了db2提升小波的消噪，可直接运行成功。-This program achieved a db2 lifting wavelet denoising can be directly run successfully.
wavelet5
- 小波分析matlab程序,包含各种小波提升方案，以及小波提升的应用-Wavelet analysis matlab program includes a variety of wavelet lifting scheme, and the application of wavelet lifting
second_wavelet
- 提升法实现第二代小波变换 第二代小波变换源程序-second wave
matlab-xiaobofenxi-guangpan-yuanma
- 张德丰的《MATLAB 小波分析》光盘源代码，包含小波变换，小波包，提升小波等的应用-Zhang Defeng the " MATLAB wavelet analysis" CD-ROM source code, including the wavelet transform, wavelet packet, wavelet and other applications to enhance
db97
- 本程序实现任意偶数大小图像第二代双正交97提升小波变换 注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同）-Even the size of the program to achieve any image to enhance the second-generation bi-orthogonal wavelet transform 97 Note 1: The standard orthogonal method, the ranks of the different
lifting
- 提升小波变换代码 matlab环境下实现 简单可用-Lifting wavelet transform code
shortwave
- matlab提升小波变换与应用初步，包括小波变换的一些改进-the matlab enhance wavelet transform and application of the preliminary