好用的小波去噪的数学算法处理程序

the Bag of Visual word ( BoV/BoW/BoF ) representation of an image or video

说明：  多目标决策；多属性决策；matlab代码；ELECTRE iii (MCDM MADM MATLAB ELECTRE iii )

对实测获取的风速数据进行处理，评估平均风速和风向。(To deal with measured to obtain the wind speed data, uate the average wind speed and direction.)

书上的简单DCT图像处理程序，最基本的DCT，简单，价值低(Book on the simple DCT image processing program, the most basic DCT, simple, low value)

说明：  混沌工具箱，能很好的学习和了解混沌，包括绘制吸引子、分岔图、lyapunov指数等(Chaos toolbox can learn and understand chaos well, including drawing attractors, bifurcation graphs, Lyapunov exponents, etc.)

使用非局部均值滤波处理噪声，非局部均值滤波跟均值滤波不同，它加入了权重信息，使得图像的处理效果更好！！！1

为领域专家提供一种有效的知识获取方法。 该方法 综合各种设备故障诊断知识获取方法的优点, 引入系统论的 概念和思想, 使知识获取过程系统化和程式化, 强调和引入 了设备对象功能技术物理效应、 伴随技术物理效应和可测性 研究。 提出的设备故障诊断模型知识获取方法已应用于建立 某一抽水蓄能机组的诊断知识模型, 表现出了操作的方便 性, 较好地解决了所获取知识的完备性和一致性问题。该方 法使设备故障诊断知识获取工作向工程化的方向迈进了一步(For the domain experts to provide an effective knowledge acquisition method. The fault diagnosis method of integration of knowledge acquisition method has the advantage, the introduction of the system of concepts and ideas, so that systematic and programmed process of knowledge acquisition, stress and the introduction of a functional device object technology physical effects, physical effects associated with technology, and testing research. Fault diagnosis model proposed knowledge acquisition method has been applied to establish the diagnosis of a Pumped Storage Unit knowledge model, showing the convenience of operation, can solve the access to knowledge of the completeness and coherence. The method makes the fault diagnosis knowledge acquisition work to project a step in the direction of)

本压缩包里为Chen吸引子的Matlab程序，各参数都是进入混沌状态的标准参数。(compression of the bundle of Chen attractor Matlab procedures, the parameters are entering a state of chaos parameters of the standard.)

实现快速傅里叶变换的控制台程序，对用户输入的数组做变换。(Fast Fourier transform console program, to an array of user input to make change.)

离散灰色模型的计算程序，针对小样本时间序列的预测建模。本程序输出时间响应式拟合值、拟合效果图、和各种拟合精度指标值。(Discrete gray model calculation program for small sample time series prediction modeling. The program output response time value style fitting, fitting renderings, and all kinds of fitting precision index value.)