资源列表
WAVELETONDSP
- 由于小波变换具有良好的时频分析特性，已经广泛应用于各种信号分析领域。由于小波变换算法的复杂性，如果直接计算小波变换，所需内存较大，耗时较长。尽管当今处理器芯片运算速度得到了大幅度的提高，但仍然在实时性上不能满足要求。为了简化计算过程，人们相继设计了一系列的快速算法来计算小波变换，以降低其运算次数。-Since the wavelet transform has good time-frequency analysis features, has been widely used in vario
wavelet
- 《小波分析和应用》第一部分理论部分电子教案-err
build_your_wavelets_at_home
- build our wavelet at home ,很不错的英文原版，教你怎么样作出自己的小波函数。-build our wavelet at home, very good in English, teach you how to make its own wavelet function.
wavlet
- 离散正交小波变换及小波重构，程序中给出测试数据，可得到这组数据小波分解后的低频分量和重构以后的数据-Discrete orthogonal wavelet transform and wavelet reconstruction, procedures given in the test data, available in this set of data after wavelet decomposition and reconstruction after low-frequency co
WL
- 图像处理的热门变化 ，Visual C++ 编程环境小波变换-Changes in the popular Image Processing, Visual C++ Programming environment Wavelet Transform
swt-0.1.0rc5.5.windowsetup
- Scilab软件下的小波工具箱，带有有种小波变换的C源程序。-Under the Scilab Wavelet Toolbox software with endemic wavelet transform C source code.
shuiyin
- 一种小波域数字水印算法.论文可了解水印技术-A digital watermarking algorithm in wavelet domain. Thesis can understand Watermarking
Research-of-Image-Compression-Based-on-Wavelet-Tra
- 基于小波变换的图像压缩技术研究，Research-of-Image-Compression-Based-on-Wavelet-Transform-Based on Wavelet Transform Image Compression Technology Research, Research-of-Image-Compression-Based-on-Wavelet-Transform
wavelet
- 小波变换用C++语言实现，很好的，大家可以-Wavelet transform with C++ Language, very good, we can
121114157DWT_2D
- 此源代码用以实现二维离散小波变换，基于mallat塔式算法 -This source code for the realization of two-dimensional discrete wavelet transform, Mallat tower algorithm based on
wavelet
- 小波变换的源代码，Wavelets.h为主程序头文件，Wavelets.cpp是主文件-Wavelet transform of the source code, Wavelets.h header file-based procedures, Wavelets.cpp is the main document
xiaobofenxi
- 这个程序是学习小波分析的非常有意义的程序，对于初学者，可以通过对此程序的学习来提高对小波分析的认识。-This procedure is to learn from wavelet analysis procedure is very meaningful, for beginners, you can learn through this process to increase awareness of the wavelet analysis.