CMA_PMD_PDM_QPSK

说明：  二维冲突概率算法，其实这个仿真是为了验证三维算法实现的基础，在二维的基础上再把二维扩展到三维。但也有不一样的地方(Two-dimensional conflict probability algorithm, in fact, this simulation is to verify the basis of three-dimensional algorithm, based on the two-dimensional two-dimensional and then extended to three-dimensional. But there are also not the same place)

本程序特别适合于弹道计算等方面使用。比ODE45函数的速度加快了很多，且程序充分展示了Matlab向量运算的强大功能，以及编程的简单快捷。(This procedure is particularly suitable for use ballistic calculations and other aspects. ODE45 faster than a lot of functions and procedures for demonstrating the power of Matlab vector operations, and programming simple and quick.)

matlab gui关于图像处理的一个简易的小程序(matlab gui image processing on a simple small program)

CANDAN 算法历程，通过这个算法可以对正弦信号频率进行精细估计(Quinn algorithm course, you can fine sinusoidal signal frequency estimation by this algorithm)

利用matlab编程实现RBF神经网络，利用训练模型算法，最后得到较精确的神经网络模型，里面的程序并不需要先前自己进行数据归一化处理(radial basis function)

MATLAB关于FFT频谱分析的程序,可以实现信号的频谱分析(MATLAB on the FFT spectrum analysis procedures, spectral analysis of the signal can be achieved)

ios下，一个基于XMPP简单的的通信demo(Under ios, an XMPP-based communication simple demo)

提出了一种多迸制频移键控(M娲K)信号调制分类及解调方法，选取截获接收机输出的MFSK信 号的时频脊线作为分类特征，利用无监督聚类算法求取最佳聚类数M．利用时频脊线的Ham：小波变换 估计码元宽度，并且利用对应最佳聚类数的聚类中心确定抽判门限，通过对时频脊线抽样判决，实现了 MFSK信号的解调．理论分析和对实际信号的处理结果证明了此算法的可行性．(new algorithm is proposed for elassillcation and demodulation of MFSK signals．The ridge of time— frequency representation of MFSK signals is analyzed．Modulation elassi_fieation is realized by using the unsupervised clustering algorithm to determine the optimal nulnllt2r of clusters．In order to demodulate MFSK signals，the Haar wavelet transform is used to estimate the code—width and the centers of optimal clusters are used to determine thresholds．Theoretical analysis and practical signal processing results justify the robusticity and the efficiency of the new classification and demodulation Mgorithm．)

说明：  应用电导增量法，实现光伏电池最大功率跟踪。(Achieve maximum power tracking of photovoltaic cells)

说明：  几种类型的滤波小程序，可以去看看，全局去噪，阈值去噪(Several types of filtering applets, you can see, global denoising, threshold denoising)