2FSK-2PSK-4PSK-16PSK-16QAM

介绍matlab中simulink仿真工具的使用以及类别，如何搭建kalman滤波的仿真框图(Matlab simulink simulation tools introduced in the use and type, how to build the simulation block diagram of the kalman filter)

说明：  二值图像区域生长，可以计算二值图像的区域增长的范围。(Binary image region growing, can calculate the binary image of the regional growth range.)

说明：  这是一个非常好的MATLAB条形码识别程序，里面包含M程序，执行所需图片，可直接执行，对于研究条形码识别的有非常好的帮助(This is a very good program MATLAB bar code, which contains M program, the implementation of the necessary pictures, can direct the implementation of bar code identification for the study of very good help)

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)

利用MATLAB实现空间直角坐标系与大地坐标系转换(MATLAB space rectangular geodetic coordinate system conversion)

说明：  在离散余弦变换下实现信号的稀疏分解，matlab环境下可以简单实现(realize sparse Decomposition with dct)

有限元QuadraticQuadElement的matlab程序(FEA QuadraticQuadElement matlab)

共有5个m文件，用于求解旅行商问题，可动态显示求解最优路径过程，且有代码详细注释，对初学者尤为适用。(A total of 5 m file, used to solve the traveling salesman problem, you can solve the optimal path dynamically display process, and there is code detailed notes, particularly suitable for beginners.)

1. 识别同一个乐器弹奏出的不同音符（基波分析） 2. 识别弹奏出同一个音符的不同乐器（谐波分析）(1. identify the different notes played by the same instrument (fundamental analysis). 2. identify different musical instruments playing the same note (harmonic analysis).)

说明：  EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)