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QPSK通过瑞利信道的MATLAB仿真,测试能成功(QPSK Rayleigh channel through MATLAB simulation, the test will succeed)

说明：  实现无线传感器网络定位DV-Hop算法的matlab源码(Wireless sensor network localization DV-Hop algorithm matlab source)

同步电机直接转矩控制的mdl控制 使用转矩和磁链给定 可以很好的跟踪给定值(Synchronous Motor Direct Torque Control mdl control the use of torque and flux can be a good track given setpoint)

自适应滤波器算法与实现 英文第三版 Paulo S.R. Diniz编著(Adaptive Filtering- Algorithms and Practical Implementation Third Edtion)

说明：  主要都是 MATLAB RBF网络算法，可以直接使用(There are thirteen chapters in this paper. They are mainly intelligent algorithms of MATLAB, which can be used directly.)

Define a macro that takes a le32 word, converts it to host ordering, right shifts by a specified count, creates a mask of the specified bit count, and extracts that number of bits.

何强老师的《matlab可扩展编程》的代码，相当实用可以参考(He Qiang teacher " matlab scalable programming" code, can be very useful reference)

Generador de señ ales Seno y Coseno

说明：  两份Matlab的资料，一个是关于如何与VC接口调用Matlab的程序；一个是介绍matlab如何使用(Matlab two information, one is on how to call Matlab and VC interface procedures one is to introduce how to use matlab)

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.