MXY5

kalman滤波程序，Matlab编写的程序(kalman filtering procedures, Matlab preparation procedures)

模拟带噪声的匀加速直线运动，数据平滑，多个smooth函数的应用，简单易懂(Simulation with the noise of the constant acceleration of linear motion, data smoothing, multiple smooth function of the application, easy to understand)

Exercise on Kalman Filter

training phase of speech recognition project

matlab tutorial berbahasa indonesia

说明：  matlab统计分析案例，经典教材，值得好好学习，对数模很有帮助(Matlab statistics, which is quite worth reading and is beneficial to mathmatical learning.)

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

灰狼优化算法和粒子群算法性能比较，附加灰狼算法介绍的PDF(Performance Comparison between Grey Wolf Optimization Algorithm and Particle Swarm Optimization Algorithm)

Ma tla b 是当今使用最为广泛的数学软件，它具有相当强大的数值计算、数据处理、系统 分析、图形显示、甚至符号运算功能，是一个完整的数学平台，但是它不能实现端口操作和 实时控制Borland C + +Builder是一种新颖的可视化编程语言，可方便实现交互界面、数据 采集和端口操作等，但是它在数值处理分析和算法工具等方面，效率远远低于Matlab语言(Ma tla b is the most widely used mathematical software, it is quite powerful numerical calculation, data processing, analysis, graphics, or even symbolic operation, is a complete mathematical platform However, it can not be achieved port operation and real-time control Borland C Builder is an innovative visualization programming language, will facilitate the realization of interactive interface, data acquisition and the port operation, However, in numerical analysis tools and algorithms, the efficiency is far below the Matlab)

噪声中正弦信号的现代法频谱分析，分析了自相关法、Burg法、协方差法和改进的协方差法对功率谱的影响以及阶数、信噪比、窗长度对自相关法频谱分析的影响。(The influence of autocorrelation method, Burg method, covariance method and improved covariance method on power spectrum and the influence of order, signal-to-noise ratio and window length on the spectrum analysis of sinusoidal signal in noise are analyzed.)