数理统计的MATLAB工具箱是一个相对简单的，日…

matlab在通信系统中的应用仿真——HDB3码(matlab in Communication System Simulation- HDB3 Code)

可以实现图像的批量保存，里面有调用函数和功能函数。比如，读取了“F:saveimage2file1.jpg”做处理，你可以在原路径下批量保存为“F:saveimage2file esult（文件夹的名字可以在程序中修改）1result.jpg（也可以保存为10,11,12等名字，能够修改）”(save images to file)

四旋翼无人机的动力学模型建模验证分析，模拟运行飞行器的飞行过程。(Four, the dynamic model of rotor UAV is modeled and analyzed to simulate the flight process of the running aircraft.)

两级空间搜索优化的立体麦克风阵列声源定位matlab程序，采用SRP-PHAT技术，有效抗混响及噪音。(Fast Sound Source Localization Using Two-Level Search Space Clustering Simple demonstration using simulated data)

无迹粒子滤波（UPF）等用于目标跟踪或者其他非线性系统中的滤波算法，本人可以提供帮助和指导。如果合适也可以帮助编写matlab程序。欢迎交流！以下是一个粒子滤波的入门学习程序，应用于纯方位目标角度观测跟踪，希望对大家有用。

可以动态调节运行环境的参数，迭代自组织数据分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，验证可用，与理论分析结果相比，最小均方误差（MMSE）的算法。

D = DISTMAT(X,Y) for matrices X and Y returns the distance matrix where the (i,j)th entry is the d-norm distance between the ith and jth row of X and Y respectively.

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

【实例简介】

ISOFileFormatConverter.zip which allows to handle 3GPP file formats. This package contains the relevant library as well as sample applications.