Car_DOF2

说明：  高斯消去法和高斯列主元消去法以及解线性下三角形方程组(Gaussian elimination and principal component Gaussian elimination and the solution of linear triangular equations)

winding power generator using doubly feed induction generator simulink simulation

混沌工具箱 Matlab 计算分叉 庞加莱(Chaos Toolbox)

关于VC和MATLAB之间建立应用接口的程序，请读者马慢慢平度，标胶都好偶的(On VC and MATLAB interface between the application procedures, the reader is slowly MA Pingdu marked plastic are good duality)

说明：  尽管瑞利和莱斯分布确实能够在很多情况下对信号通过衰落信道后的包络进行很好的建模，然而，在实际的无线环境测试中，发现Nakagami分布提供了更好的与实际测试的匹配度。(Although Rayleigh and rice distribution can model the envelope of the signal after passing through the fading channel in many cases, in the actual wireless environment test, Nakagami distribution is found to provide a better match with the actual test.)

说明：  利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域(Using computer simulation operations, the problem-solving process is transformed into a process similar to the crossover and mutation of chromosomal genes in biological evolution. When solving more complex combinatorial optimization problems, compared with some conventional optimization algorithms, better optimization results can usually be obtained faster. Genetic algorithm has been widely used in the fields of combinatorial optimization, machine learning, signal processing, adaptive control and artificial life)

差分进化算法DE，及检验函数Goal。5个检验函数用来验证DE算法的有效性。(Differential evolution algorithm DE, and test function Goal. The five test functions are used to verify the effectiveness of the algorithm of DE.)

信道估计程序，包括对多路径信号经过加权后进行最佳信噪比和相位估计(Channel estimation procedures, including multipath signals after weighting the best signal-to-noise ratio and phase estimation)

说明：  信号的DFT和FFT频谱分析，以及对乃奎斯特采样频率的理解练习，对信号分析的朋友很有帮助( For a Linear Frequency Modulation signal,try to analyze its property in frequency domain.Given a system h(t) output.)

非线性扩展卡尔曼滤波算法的matlab程序(Description:This is a tutorial on nonlinear extended Kalman filter (EKF). It uses the standard EKF fomulation to achieve nonlinear state estimation. Inside, it uses the complex step Jacobian to linearize the nonlinear dynamic system. The linearized matrices are then used in the Kalman filter calculation. The complex step differentiation seems improving the EKF performance particularly in accuracy such that the optimization and NN training through the EKF are better than through the UKF )