kalman

Distribution systems power flow analysis package using Matlab graphical user interface

cdma2000前向链路系统下的maatlab仿真程序源码大家 (cdma2000 forward link system maatlab simulation program source code we)

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.)

这是一些模糊控制的相关模块，希望对大家有用(These are related to fuzzy control module, want to be useful)

包含五个abaqus UMAT裂纹、蠕变等不同的本构程序(abaqus UMAT)

说明：  基于MUSIC的MIMO雷达DOA、DOD估计(DOD and DOA estimation for MIMO radar based on MUSIC)

小波分析和现代谱分析理论在车载控制系统信息处理中的应用(Wavelet analysis and spectral analysis of the modern theory of information processing in the vehicle control system of)

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)

优化神经网络预测，可以用于多种预测需求，需更改(Optimization of neural network prediction)

本文通过matlab仿真，比较线性调频信号的FFT和STFT，并研究了信号中混入各种噪声后如何处理。(In this paper, matlab simulation, comparison of the FFT and linear FM signal STFT, and studied all kinds of noise signals mixed How to handle.)