eg6_6

这是一个通信系统仿真的simulink 仿真模型 可以进行误码率分析(Simulink simulation model of a communication system simulation BER analysis)

三相并网逆变器电流滞环控制MATLAB仿真模型(Simulink model of thre-phase grid-connected with current hysteresi controller)

关于离散多项式变换解线性调频信号的文献和matlab程序(On the discrete polynomial transform the solution of linear FM signal matlab program literature and)

星载SAR仿真 可以得到很好的成像效果，大家可以试一试(Simulation of spaceborne SAR imaging results can be very good, we can try)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)

多事例维度约简的matlab程序及其数据。(Many examples of dimension reduction matlab program and its data.)

运用李亚普诺夫指数分析混沌系列并进行预测(lyapunov index analysis and chaos series predict)

svm-km支持向量机工具箱，特点是他们能够同时最小化经验误差与最大化几何边缘区.因此支持向量机也被称为最大边缘区分类器.(svm-km SVM Toolbox, is characterized by experience that they can while minimizing errors and maximizing geometric border zone. therefore support vector machine is also known as the maximum marginal zone classification.)

This file takes cropped yale face images file as input and performs classifications based on 1. Correlation 2. Eigen vector based classification (Eigen Face) 3. Fisher Linear Discriminator (FLD) (Fisher Face) The zip contains two files readyaledata.m to read the image database EigenFace-FisherFace.m to do classification as described above

matlab程序将传递函数通过Z变换使其离散化，然后再把得到的脉冲传递函数改写成差分方程。便于接下来一步的C程序编程。(matlab program will transfer function Z-transform them through discrete, then put the resulting pulse transfer function of a differential equation rewritten. Facilitate the next step of the C programming.)