LMS-algorithm

一个matlab的线性规划的工具箱，不同与matlab自带的函数，功能强大，里面带有该工具箱的使用例子，操作简单。(A matlab toolbox for linear programming, different with matlab built-in function, a powerful inside the toolbox with the use of examples, easy to operate.)

说明：  田纳西伊斯曼仿真数据，包括训练集和测试集(The Tennessee Eastman simulation data)

该程序使用matlab开发的规划中的经典算法——基于对偶仿射理论的内点法，在工程中是很常用的(The program developed by the use of matlab classical planning algorithm- based on the theory of dual affine interior point method, in the projects is a very commonly used)

具有用户界面的smith圆图，供工程人员使用(smith chart with GUI, for developers)

最优阵列处理一书第三章的matlab程序，适合阵列处理初学者(Optimal array processing matlab program of a third chapter of the book, suitable for array processing for beginners)

光伏发电使用matlab 仿真的模型文件((pv) power use matlab simulation model file )

说明：  MUSIC算法 DOA（Direction Of Arrival）波达方向定位技术主要有ARMA谱分析、最大似然法、熵谱分析法和特征分解法，特征分解法主要有MUSIC算法、ESPRIT算法WSF算法等。 MUSIC (Multiple Signal Classification)算法，即多信号分类算法，由Schmidt等人于1979年提出。MUSIC算法是一种基于子空间分解的算法，它利用信号子空间和噪声子空间的正交性，构建空间谱函数，通过谱峰搜索，估计信号的参数。对于声源定位来说，需要估计信号的DOA。MUSIC算法对DOA的估计有很高的分辨率，且对麦克风阵列的形状没有特殊要求，因此应用十分广泛。(DOA (direction of arrival) positioning technology mainly includes spectrum analysis, maximum likelihood method, entropy spectrum analysis method and feature decomposition method. The feature decomposition method mainly includes music algorithm, ESPRIT algorithm, algorithm, etc. Music (multiple signal classification) algorithm, namely multi signal classification algorithm, was proposed by Schmidt In 1979. MUSIC algorithm is an algorithm based on subspace decomposition. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectrum function, and estimates signal parameters through spectrum peak search. For sound source localization, DOA of signal needs to be estimated. MUSIC algorithm has high resolution for DOA estimation, and has no special requirements for the shape of microphone array, so it is widely used.)

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)

网络控制中最大时延的不同计算方法比较，用于确定采样间隔，可用于网络化控制系统的稳定性判别与调度边界确定(The comparison of several MADB calculation method in networked control)

包含多种噪声谱估计算法用于语音增强，采用的是标准谱减法，主要用于对各种噪声谱估计算法对比，详见readme.txt(Ppls spectral subtraction noise spectrum estimation, mainly used to compare the performance of different noise spectrum estimation algorithms, including Martin s minimum tracking algorithm, Minimum controlled recursive average algorithm (Cohen), variant of Minimum controlled recursive average algorithm, improved Minimum controlled recursive average algorithm (Cohen ), continuous spectral minimum tracking (Doblinger), weighted spectral average (Hirsch & Ehrilcher), connected frequency regions (Sorensen & Andersen). See readme.txt inside)