搜索资源列表
wavelet_signal
- 采用mallat算法进行小波分解/重构的程序，支持一维和二维信号-Mallat algorithm using wavelet decomposition / remodeling process, support one-and two-dimensional signal
FWTdualsupport
- This function computes the support of the (discrete) dual wavelet functions, ％ i.e. the first and last non-zero entry of the forward wavelet transform
libsvm-2.88.zip
- 支持向量机用于实验数据拟合分类优化,速度快,Support Vector Machines for classification optimization of the experimental data fitting, fast
bi-ji-shi-bie
- 采用“纹理识别”的方式进行笔迹鉴别，利用Gabor变换提取不同频率、不同方向的笔迹特征，最后使用KNN或SVM（支持向量机）对待测样本进行类别判别。-A " texture recognition" approach to handwriting identification using Gabor transform to extract different frequency, the handwriting characteristics of different dir
xaos-3.5.tar
- 最新版XaoS。能快速做分形变换。学习分形算法的可以参考。-XaoS is a fast portable real-time interactive fractal zoomer. It displays the Mandelbrot set (among other escape time fractals) and allows you to zoom smoothly into the fractal. Various coloring modes are provided
SAR
- 在实数域 ,对称、 正交的紧支集非平凡单小波基不存在 ,而多小波把紧支集，对称性、 正交性完美地结合在一起 ,使小波理论从标量扩展到矢量范畴。利用上述特点将多小波变换应用于 SAR 图像压缩。-In the real fields, symmetric, orthogonal set of nontrivial compactly supported wavelet basis does not exist alone, but more than the compact support wav
sum1all
- 基于小波和支持向量机的电能质量监测分类算法例程-Based on wavelet and support vector machine classification algorithm routine power quality monitoring
daoppu
- 在matlab上实现任意数据的倒频谱分析，支持各种采样频率-Cepstrum analysis, any data to support a variety of sampling frequency in matlab
jasper-1.701.0.tar
- jasper最新版本，可实现jpeg2000,拥有最新支持库。-Jasper latest version, can be achieved jpeg2000, with the latest support library.
Mechanical-fault-diagnosis-method
- 经验小波变换(EWT)是一种新的自适应信号分解方法, 该方法继承了EMD 和小波分析方法的各自优点, 通过提取频域极大值点自适应地分割傅里叶频谱以分离不同的模态, 然后在频域自适应地构造带通滤波器组从而构造正交小波函数, 以提取具有紧支撑傅立叶频谱的调幅-调频(AM-FM)成分。本文将该方法引用到机械故障诊断中, 提出了一种基于经验小波变换的机械故障诊断方法, 并与EMD方法进行了对比分析。仿真结果表明, 经验小波变换方法明显优于EMD方法, 能有效地分解出信号的固有模态。与EMD 相比较, 该