uniisys---updated

GMM工具箱第一部分。包含了GMM算法的各个函数，对GMM建模很有帮助.(GMM first part of the toolbox. GMM algorithm contains all functions of GMM modeling helpful.)

调制信号在systemview环境下的仿真(Modulated signal simulation environment under systemview)

说明：  讲述雷达测距原理，组成元件，性能指标，发展趋势(About radar ranging principle, components, performance index)

vb和matlab接口技术方法，用来实现两个软件的共同编程。(an method for vb and matlab)

一个无线网络仿真程序，提供了较完备的网络分层仿真功能(a wireless network simulation program to provide a more comprehensive network hierarchical simulation function)

维纳滤波用于噪声抑制，有辅观测数据和无有辅观测数据的维纳噪声抑制器(Wiener filter for noise suppression, auxiliary data and without auxiliary Wiener noise suppressor observation data)

说明：  线性二自由度车辆模型状态参数估计粒子滤波算法，车辆理想状态向量已和观测向量已给出(Linear two degrees of freedom vehicle model state estimation particle filter, vehicle and observation over the state vector has been given vector)

说明：  经典图书Courant, Hilbert - Methods of Mathematical Physics Vol. 1 50年不倒的经典图书，值得一看，是学习数学物理方法的经典名著(Classic books Courant, Hilbert- Methods of Mathematical Physics Vol. 1 50 will not be brought down in the classic books, worth a visit is to study methods of mathematical physics classics)

提出了基于有限脉冲响应(FIR)模型的预测函数控制(PFC)算法,给出了采用1个基函数(阶跃函数)和2个基函数(阶跃函数、斜坡函数)的控制律的解析解,分析了闭环系统稳态特性,结果表明,系统对于设定值变化和输出扰动均无余差.结合该算法、T-S模糊建模和自适应控制技术,提出了模糊自适应预测函数控制(FAPFC)策略(Proposed based on finite impulse response (FIR) model predictive functional control (PFC) algorithm is given using a base function (step function) and two basis functions (step function, ramp function) analytic control law solution, steady-state analysis of the closed-loop system characteristics, the results show that the system output for setpoint changes and disturbances were not more than poor. combined with the algorithm, TS fuzzy modeling and adaptive control techniques proposed fuzzy adaptive predictive functional control (FAPFC ) strategy)

仿真实现了MUSIC、Beamformer、Capon功率谱，并未实现线性预测功率谱估计（未找到方法）。由实验结果我们可以得出结论MUSIC的估计效果最好，它可以区分800、850处来波，其他角度也可区分。(Simulation of MUSIC, Beamformer, Capon power spectrum, did not realize the power spectrum estimation linear prediction (not way to find). From the experimental results, we can draw the conclusion MUSIC best estimate of the effect, it can be distinguished to wave at 800, 850, other angles can also be distinguished.)