调试成功的北斗定位算法调试工具

风速预测源代码，通过已有数据预测将来1小时的风速(wind prediction)

基于matlab的脉压程序 线性调频信号的频谱 脉压信号的频谱(Matlab program based on pulse pressure Linear FM signal spectrum Pulse signal spectrum)

利用随机共振进行信号检测，本程序主要针对单频信号利用4节龙哥库塔实现共振检测(Stochastic resonance signal is detected, the program focused on the use of single-frequency signal section 4 Long Ge Kuta achieve resonance detection)

说明：  进化亲和力传播（EAP）是一种进化聚类方法，它试图对在多个时间点收集的数据进行聚类，同时考虑到潜在的动态并保持时间平滑性。 EAP的主要独特功能是： EAP自动确定每个时间步长的群集数。 通过依赖因素图中引入的某些共识节点，EAP可以准确，高效地跟踪整个集群。 EAP通过在不同时间步长代表数据的节点之间传递消息来标识全局群集解决方案。 EAP输出为每个时间点的每个数据点提供群集成员身份。 EAP框架允许在不同的时间步长具有不同数量的群集，以及数据点的插入和删除。 用法(EAP automatically determines the number of clusters at each time step. By relying on certain consensus nodes introduced in the factor graph, EAP accurately and effciently tracks clusters across time. EAP identifies the global clustering solution by passing messages between the nodes representing data at different time steps. The EAP output provides the cluster membership for each data point at each time instance. The EAP framework allows having different numbers of clusters at different time steps as well as data point insertions and deletio)

非相干解调,赶紧下载，绝对原创，很好 很好很好(non coherent demodulation)

第一章 概述 辨识（Identification）、状态估计和控制理论在现代控制理论中是密不可分的，它们互相渗透。辨识和状态估计离不开控制理论的支持，控制理论的应用几乎不能没有辨识和估计技术。由此可见，辨识在科研与实际应用领域都有很高的实用价值。 所谓辨识，就是从含有噪声的输入、输出数据中提取被研究对象的数据模型。此数据模型只是过程的输入输出特性在某种意义下的近似，而近似的准确度一般取决于采样数据的精度以及辨识方法的合理性。 辨识的目的是根据过程所提供测量的数据等信息，在某种准则意义下，估计出模型的未知参数，其基本原理如图1.1所示： (Identification (Identification), state estimation and control theory in modern control theory are inextricably linked, they penetrate each other. Identification and control of state estimation theory is inseparable from the support of the application of control theory can hardly no identification and estimation techniques. This shows that the identification of the research and practical application areas have high practical value. The so-called identification, is to contain noise from the input and output data from the study was the data model. This data model is the process of input and output characteristics in a certain sense of approximation, while similar to the general accuracy of the data depends on the accuracy of sampling and identification method is reasonable. Identification wit)

关于图像处理的一些基本操作，空间、频域图像增强，形态学处理，边缘检测等(About some of the basic image processing operations, space, frequency domain image enhancement, morphological processing, edge detection, etc.)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成 (MUSIC algorithm is a feature space based on matrix decomposition method. From the geometric point of view, the observed signal space can be decomposed into signal subspace and noise subspace, it is clear that two spaces are orthogonal. Signal subspace to the data received by the array covariance matrix and the eigenvector corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector corresponding to the composition )

基于MATLAB GUI的“滤波器设计软件”设计(MATLAB GUI filter design software-based design)

求解他励发电机空载特性曲线，通过建立他励发电机空载数学模型绘制出该曲线。(Solving excited generator load characteristic curve)