WSAN_SAT

1 掌握不同的聚类方法—基于层次与基于划分的方法 2 学会层次聚类的单连接算法 3 学会K-means算法 (A master of different clustering methods- based on hierarchical partitioning method based on hierarchical clustering 2 Society 3 Society of single-link algorithm K-means algorithm)

最短距离的最长 最短距离的最长 最短距离的最长 最短距离的最长 最短距离的最长 最短距离的最长 最短距离的最长(the least distance)

学习simulink仿真的基础材料，适合初学者学习(Simulink simulation based learning materials, suitable for beginners to learn)

This rar file contains some matlab programs and simulation results(generation of on off,isdn,video,data traffic)..

毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了qauflo算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 tmgyCFR， 3 测试 4， 输出结果。 (Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining qauflo algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 tmgyCFR , 3 test 4, the output result. )

基于BP神经网络的数据分类-语音特征信号分类(Data Classification Based on BP Neural Network-Voice Feature Signal Classification)

说明：  基于NPC/H桥三相五电平逆变器的七段式SVPWM控制策略仿真(Seven-stage SVPWM control strategy simulation based on NPC/H bridge three-phase Five-Level Inverter)

Hankel法的过程辨识，利于用脉冲传递响应对系统的辨识，实例全过程。(Hankel identification process of law, in favor of using pulse delivery system to respond to the identification, examples of the entire process.)

说明：  数字减影增强处理血管造影图像，可以处理眼底视网膜DSA图像(Digital subtraction angiography image enhancement processing, can handle the retinal image DSA)

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)