Durbin

仿真V-BALST结构MMSE检测算法性能，调制方式为QPSK(Simulation V-the-BALST structure MMSE detection algorithm performance, the modulation method is QPSK)

小波分析的程序 有需要的就下载下来试试吧 应该还不错(xiaobofenxi)

对蓄电池采用低压配电网 P/V 和 Q/f 下垂控制策略 ， 实现从并网运行到孤岛模式的切 换 。 考虑实际风速和光照强度的变化 ， 对风能与光伏混合微电网在并网和孤岛 2 种模式中的运行特性进行 仿真分析 ， 验证控制方式的可行性(The realization of the operation the grid to the island change . Considering the actual wind speed and light intensity , Hybrid grid for wind energy and photovoltaic grid connected and isolated Two The operating characteristics of the Simulation analysis , Verify the feasibility of control mode)

说明：  低秩表示法对子空间结构的鲁棒恢复。图像复原低秩表示算法。(Robust Recovery of Subspace Structures by Low-Rank Representation)

该文件包含图像处理的常用的图像处理工具箱，较适合没有MATLAB基础的人员入门学习，该文件包含实例和常用函数的解释(This document contains commonly used image processing Image Processing Toolbox, MATLAB no more suitable for entry-based learning staff, the document contains examples and explanation of commonly used functions)

寻找测试样本的最近邻，可以有效的用于用于模式识别，信号处理(This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing. The code was initially implemented through vectorization. After discussions with John D Errico, I realized that my algorithm will suffer numerical accurancy problem for data with large values. Then, after trying several approaches, I found simple loops with JIT acceleration is the most efficient solution. Now, the performance of the code is comparable with kd-tree even the latter is coded in a mex file. The code is very simple, hence is also suitable for beginner to learn knn search.)

TUTORIAL ON MATLAB GUI FOR BIGENERS AND EXPEST VERY SIMPLE AND EFFECTIVE WAY TO LEARN MATLAB SIMULINK AND GUI MATLAB

Detector de tono DTMf

人工神经网络基于matlab开发的单层传感器的源程序例子(Artificial neural network matlab-based development model exact type rbf)

一个用来进行频谱分析的程序，可以根据记录的信号序列的富氏变换来求得本征频率值(used for a spectrum analysis procedures, can record the signal sequence of Fourier transform to obtain the frequency of levy)