niudunfa

此程序包是希尔伯特变换，经验证运行正确，希望对大家有用。解压密码为cet。(This package is the Hilbert transform, certified to run correctly, in the hope that useful to everyone.)

超宽带的rake接收机程序的简单介绍。对于初级入门的有帮助。(uwb rake receiver )

说明：  应用matlab单用户下不同信噪比的能量检测方法(Matlab single-user applications under different signal to noise ratio of the energy detection method)

说明：  能够更好的熟悉matlab开发环境，里面还配带了许多的实用程序(Better matlab familiar development environment, which is also equipped with a number of utility)

复杂网络中基本网络模型的matlab实现(The complex network basic network model matlab)

基于ARMA（2）模型的光纤陀螺建模及kalma滤波算法(Based on the ARMA (2) model of the fiber optic gyroscope Modeling and Kalma filtering algorithm)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

Get stock data from Yahoo! Finance to Matlab.

基于matlab的卫星轨道仿真（含有源代码）,能够模拟卫星绕地球的轨道示意图。 初学卫星轨道的同学，可以参考，谢谢！(Based on the matlab simulation satellite orbit (contain the source code), can simulate a satellite around the earth s orbit schemes. Beginners satellite orbit of classmate, can reference!!!! Thank you!)

说明：  考虑环境因素的多目标优化方法，采用传统的遗传算法，同时考虑环境和经济性，考虑帕累托策略。(The multi-objective optimization method considering the environmental factors, using the traditional genetic algorithm, while considering the environment and economy, considering the Pareto strategy.)