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MATLAB7
- 用小波进行图像处理，以及一个QPSK调制程序，还有用MATLAB实现二维小波分解与重构程序，请大家指正-wavelet image processing, and a QPSK modulation procedure, there are two-dimensional MATLAB wavelet decomposition and reconstruction process, please correct
w2D
- 二维图像的小波分解与重构，并画图显示。通过多分辨率分析实现。-2D image wavelet decomposition and reconstruction, and drawing show. Through multiresolution analysis to achieve.
Example6_8
- 用MATLAB对一语音信号进行小波分解，然后对其各层系数进行处理以达到小波抑制的目的，重构处理后的信号，画出波形分析。-MATLAB to a voice signal wavelet decomposition, its floors coefficient then processed to achieve the purpose of inhibiting Wavelet, reconstruction after the signal waveform analysis paint.
Example2_4_1
- 用MATLAB对一图象分别用单尺度和二维小波分解，观察各高低频部分，对图象进行重构和压缩。-MATLAB image of a single yardstick were used and two-dimensional wavelet decomposition, the high-low frequency observation, right image reconstruction and compression.
Example2_6_1
- 用MATLAB对一图象分别用不同小波分解，观察高低频部分进行重构，比较重构误差，再进行阈值消噪，比较消噪前后图象。-MATLAB right one image with different wavelet decomposition, high-low-frequency observations for some remodeling, more reconstruction error and then de-noising, compared before and after image
work4_1
- 基于Mallat的二维Haar小波分解与重构算法的C语言实现-Mallat Haar wavelet decomposition and reconstruction algorithm in C Language
zuot
- 基于小波变换的图像压缩方法,主要是理论方面的介绍！小波分解，重构等-based on wavelet image compression method, the theory is introduced! Wavelet analysis, reconstruction, etc.
axc
- 基于小波变换的图像压缩方法的源代码，内容主要是小波分解，重构-based on wavelet image compression method source code, which is decomposed and Reconstruction
ImgComBasedonWavletandNN
- Matlab实现图像压缩与重构步骤 ① 对图像进行小波分解，得到第一层分解的低频系数和高频系数。 ② 保留低频系数，对高频系数进行基于神经网络的矢量量化编码，达到压缩。 ③ 根据码书以w还原高频系数 ④ 根据保留的低频系数和还原的高频系数重构图像 -Matlab realization image compression and the heavy construction step (1) pair of picture carries on the wavelet to
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.
multiwavelet
- 用于数据预处理的多小波分解与重构程序.其中多小波是采用CL4平衡多小波,所以分解前的预处理是采用等值预滤波器.如果要用别的非平衡多小波,只需替换为相应的预滤波器即可.-for data pretreatment multiwavelet decomposition and reconstruction process. Multiwavelet which is the Panasonic balance multiwavelets Therefore, the pretreatment bef
Wavelet_Compression_bior37
- 利用小波分解与重构,实现图像压缩,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image compression, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.
denoise+compression
- 利用小波分解与重构,实现图像去噪和压缩,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, Image Denoising and Compression, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.
enhancement+fusing
- 利用小波分解与重构,实现图像增强和融合,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image enhancement and integration, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.
filtering+compression
- 利用小波分解与重构,实现图像滤波和压缩,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image filtering and compression, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.
waveletDenoising
- 用vc6.0开发出一小波滤波的程序。内容包括仿真数据生成，文本数据读取，滤波器系数构造，小波分解与重构，小波阈值及阈值函数选择，小波降噪。-vc6.0 developed using a wavelet filter procedures. Include simulation data generation, text to read data, filter coefficients structure, wavelet decomposition and reconstruction. W
decompose
- MATLAB实现声音信号的小波分解与重构（内副数据）-MATLAB voice signals in the wavelet decomposition and reconstruction (with Vice data)
FusionCode1
- 针对多聚焦图像融合，本文首先介绍了小波变换融合算法，虽然小波变换方法无冗余，高频分量损失较小，具有较好的融合效果，但存在两个主要缺点：一是移变性，二是融合图像在重构时会受到一些外来因素的影响，所以仍会丢失一些边缘信息，为了克服小波变换法的以上缺点，可以采用基于小波分解和点扩展函数模型PSF相结合的融合方法。该方法首先对不同的图像进行无降2采样的小波分解，以保持与源图像大小相同，然后分别将其各方向、各尺度的高频分量进行叠加，并依此提取其高频分量的特征信息来判定清晰目标或模糊目标，以此来设计融合算法
MALLAT_PROGRAM
- 基于Mallat的二维Haar小波分解与重构算法的C语言实现最大分解级数:5级*/ -Mallat Haar wavelet decomposition and reconstruction algorithm in C language to achieve maximum decomposition Series : 5 * /
FRIT
- 计算小波变换的Mallat算法需要逐级分解和重构，而本文通过矩阵变换方法，给出不需逐级计算的小波分解和重构矩阵的构造方法，并给出9/7小波的分解和重构矩阵的基向量及波形图。