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La transformée en ondelette discrète (en anglais Discrete Wavelet Transform, ou DWT) est une technique utilisée dans la compression de données numériques avec ou sans perte (JPEG2000). La compression est réalisée par approximations successives de l information initiale du plus grossier au plus fin. On réduit alors la taille de l information en choisissant un niveau de détail.

Trigonometric functions using MATLAB to achieve power spectral analysis

说明：  主要是ezw编码过程中的量化器的编写代码，大家可以参考一下。(Encoding process is mainly ezw quantizer in the code, we can refer to.)

　用水量预测在城市建设规划、供水系统的调度 管理中都具有重要作用。常用的预测方法可分为两 类,一类是解释性预测方法,即找出被预测量的各影 响因素,建立回归分析模型(Water demand in urban planning, regulation and management of water systems has an important role. Commonly used forecasting methods can be divided into two categories, one is an explanatory forecasting method, which is predicted to identify the amount of the influencing factors, a regression analysis model)

LMS算法自适应滤波器的Matlab仿真分析.(LMS matlab fangzhenchengxu.)

Book on MatLab Partial Dierential Equations in MATLAB 7.0

DESCRIPTION: This Matlab algorithm performs many tasks associated with power system analysis. First, it has the ability to perform both fully coupled and dc power flow analysis. Second, it has the ability to create measurements (with user-defined error) to be used as input for state estimation. Third, it has the ability to perform state estimation - allowing the user to examine how the placement of measurement devices as well as magnitude of distibution of measurement error affect the discrepency between power flow and state estimation results. In essence, it provides the user with a complete package for the study of both power flow and state estimation in n-bus power systems.

小波与近似熵相结合的机械振动噪声信号分析 8.复morlet小波实验程序.(8 Complex Wavelet morlet experimental procedures.)

认知无线电的频谱分析算法及分析研究，自己编写的(Cognitive radio and spectrum analysis algorithm analysis, I have written)

用于粒子滤波的，讲解详细！初学者可以很容易地看懂！(For the particle filter, and explain in detail! Beginners can easily understand!)