在 matlab 为圆演示文稿

说明：  仿真多种调制信号,包括AM FM PSK QAM等(Simulate a variety of modulation signals, including AM FM PSK QAM, etc)

SVM程序用于小样本分析，模式识别。用于Matlab的平台。(SVM procedures for small samples for analysis and pattern recognition. Matlab for the platform.)

图像质量评价指标：MSE，衡量融合图像相对于标准参考图像灰度的偏离程度。其值越小，说明复原图像和标准参考图像的差异越小，恢复效果越好。(Image quality evaluation MSE)

附带指导文件。恒功率LCL并网模型，比较高级的模型，研究生毕业可用(It comes with guidance documents. LCL constant power grid model, more advanced model, graduate Available)

小波包分析提取振动信号中的特征频率，关于小波的matlab复合分析，BP神经网络用于函数拟合与模式识别。( Wavelet packet analysis to extract vibration signal characteristic frequency, Matlab wavelet analysis on complex, BP neural network function fitting and pattern recognition.)

说明：  现代海战需要功能综合的作战平台和性能优良的 武器系统来应对，海战场复杂多维的环境因素对海上 兵力运用有很大的影响。因此，如何准确建立海战场 的评估指标体系并进行科学评判是指挥员做出决策的 重要前提。目前，海战场环境评估的方法有层次分析 法、模糊评判法、指数法等11’21。针对这些方法主观性 比较强等不足，本文引入云重心的评估方法简单易行， 科学有效，可操作性强。 基于云重心方法的海战场环境评估(Modern naval warfare needs integrated operational platforms and excellent weapon systems to cope with. The complex and multi-dimensional environmental factors of naval battlefield have a great impact on the use of naval forces. Therefore, how to accurately establish the evaluation index system of sea battlefield and make scientific evaluation is an important prerequisite for commanders to make decisions. At present, the methods of Marine Battlefield Environment Assessment include analytic hierarchy process, fuzzy evaluation, index method and so on. In view of these shortcomings, such as strong subjectivity, this paper introduces cloud gravity center evaluation method which is simple, scientific and effective, and operable. Sea Battlefield Environment Assessment Based on Cloud Barycenter Method)

阵列信号的信源数目估计——AIC，MDL，HQ，EDC法得比较(Array signal source number estimation- AIC, MDL, HQ, EDC method comparatively)

该代码可生成阵列天线的发生天线方向图，以及列子阵接受图。(The code can generate array antenna transmitting map and also the receiving map of a Column. )

aerosonde uav mathematical model

离散时间序列的编写源代码，包含各种常用的离散时间序列，简单实用(Discrete time series of writing source code, including a variety of commonly used discrete time series, simple and practical)