搜索资源列表
wavelet
- 基于DB4 的小波变换,实现了小波的分解与重构,可根据实际需要修改阈值的选取方法-Based DB4 wavelet transform to achieve wavelet decomposition and reconstruction, according to the actual need to modify the threshold selection method
db1-wavelet
- 利于db1小波的分解与重构,最终显示的效果-Conducive to db1 wavelet decomposition and reconstruction
xiaobobao-fenjie-yu-zhonggou-
- 一维小波包在matlab分解六层分解,与重构,可得高低频。与原高低频对比。- One dimensional wavelet packet decomposition in the MATLAB decomposition of the six layer, and the reconstruction can be HISTEP low frequency. Contrast with the original high and low frequency.
wavepacket-cpp-0.1.1b
- c++编写的小波包算法,可以实现小波包分解与重构,速度较快-A wavelet packet implementation written in C++, does wavepacket decomposition and reconstruction quite efficiently
wavelet_test
- 采用db4小波,对输入信号进行2阶分解和重构。采用了对称延拓方式。- The db4 wavelet is used to decompose and reconstruct the input signal. Using a symmetric extension.
xb
- 这个程序是用harr小波对图像进行分解和重构,是个可执行的源代码,已通过调试-this procedure is right Harr wavelet image decomposition and reconstruction, is the source of executable code
Desktop1
- 主要是小波包的分解与重构,用简单的程序更好的理解小波包。-Wavelet packet decomposition and reconstruction, with a simple procedure to better understand the wavelet packet
db4
- 用db4 小波对一幅图像进行二维2 尺度分解后 在不同方向上获得其重构图像。-The image is reconstructed in two directions by using db4 wavelet to decompose an image in two directions.
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构,得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性,对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测,对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr
Wavelet-packet-
- 小波包分解重构,说明很详细,望大家共同进步-Wavelet packet decomposition reconstruction, indicating very detailed, we hope common progress
Multiple-Wavelet-image-denoising--
- 通过双正交小波对图像进行分解,后去噪并重构出图像,使得图像效果更加清晰-The image is decomposed by biorthogonal wavelet, then the image is denoised and reconstructed
xiaobo
- 小波的分解与重构,小波函数经过分解得到尺度函数和小波函数,经过重构得到原函数。-Wavelet decomposition and reconstruction, after decomposition wavelet function scaling function and wavelet function, to give after reconstruction of the original function.
pudn_Renj_matlab
- 1)football.m简单地以阵列形式显示一副图; 2)pre.m是心音信号过滤归一化预处理的过程; 3)wavlet.m是用db6小波进行信号的分解和重构,且求包络能量函数; 4)path.m是利用KKT条件的路径跟踪法,用于求解二次规划问题; 5)LRmmse是MIMO通信中常用检测方法,结合了最小均方误差准则和格基规约的知识。-1) football.m simply displays a graph in an array 2) pre.m is the proc
Matfab
- 用Matlab中的Haar和Db9小波对图像进行分解和重构-In the Matlab Haar and Db9 wavelet image decomposition and reconstruction
76199592
- 用Matlab中的Haar和Db9小波对图像进行分解和重构-In the Matlab Haar and Db9 wavelet image decomposition and reconstruction
image-fusion
- 基于非负矩阵分解和小波变换的图像分解与重构(Image decomposition and reconstruction based on nonnegative matrix decomposition and wavelet transform)
emd
- 经验模态分解(Empirical Mode Decomposition,EMD)是由 Huang等人于1998年提出的一种针对非线性、非平稳信号的自适应信号分解算法。自该方法提出以后便得到了学术界的广泛关注与研究,经过十几年的研究与发展,在理论方面EMD算法取得了进一步的完善。许多国内外学者也将该方法应用到了地球物理领域,并做了深度的研究与探索。与传统的基于Fourier变换的信号分析方法相比,EMD不仅突破了Fourier变换的局限性,而且不存在如小波变换一样需要预选小波基函数的问题,具有良好