hypervolume-master

利用三个已知控制点完成前方交会，基于matlab语言实现了编程计算(The completion of the three known control points forward intersection based on Matlab language programming calculation)

实现了跟踪算法里的UKF滤波算法，统计了该滤波算法性能 (UKF in the tracking algorithm, statistical filtering algorithm performance)

应用matlab语言实现小波分析的检测分析信号的奇异点 db小波分解 重构 (matlab wavelets)

有关回归分析的所有算法，包括详细的原理介绍及具体的matlab代码，很适合初学者使用，及有关工程人员参考；其中包含了一元线性回归、最小二乘估计方法、显著性检验、多元线性回归、利用回归模型预测、非线性回归、逐步回归等(All algorithms related to regression analysis, including a detailed description and the specific principles matlab code, it is suitable for beginners to use, and related engineering personnel reference which contains a linear regression, least squares estimation method, significant test, multiple linear regression using the regression model to predict, nonlinear regression, stepwise regression, etc.)

适用于需要用matlab环境，用som方法解决分类问题的朋友们(Applicable to the need to use matlab environment, used to solve classification problems som friends)

一个简单的时隙Aloha系统的matlab仿真程序。(A simple slot Aloha system matlab simulation program.)

雷达应用中，杂波背景中区分出有用目标回波的恒虚警(CFAR)检测技术 源程序( Radar applications, clutter useful to distinguish target echo CFAR (CFAR) detection technology source)

说明：  基于RSSI的定位，已知发射节点的发射信号强度, 接收节点根据接收信号的强度, 计算出传播损耗, 利用理论的或经验的信号传播模型将传播损耗转化为距离, 然后再计算出节点的位置。(Based on RSSI positioning, the transmitting signal strength of the transmitting node is known, and the receiving node calculates the propagation loss according to the received signal strength. The propagation loss is converted into distance by using the theoretical or empirical signal propagation model, and then the position of the node is calculated.)

说明：   在高阶谱分析工具箱是一个M文件集合实施了多种先进的信号处理算法的频谱估计，polyspectral估计，时频分布计算，并包含许多实际应用如时延估计，谐波恢复，参数估计的Volterra（非线性）模型，以及自适应线性预测。其他潜在的应用包括音响，生物医学，经济学，地震勘探，无损检测，海洋学，等离子体物理，雷达，声纳，语音等(The Higher-Order Spectral Analysis Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for spectral estimation, polyspectral estimation, and computation of time-frequency distributions, with applications such as time delay estimation, harmonic retrieval, parameter estimation of Volterra (nonlinear) models, and adaptive linear prediction. Other potential applications include acoustics, biomedicine, econometrics, exploration seismology, nondestructive testing, oceanography, plasma physics, radar, sonar, speech etc. )

本资料是课堂资料，对matlab初学者有很大的作用，特别是火电厂系统建模方面(This information is classroom information on the matlab beginners have a significant role, particularly thermal power system modeling)