MATLAB_FFT

两种噪声下，卡尔曼滤波的100次Monte Carlo仿真验证，画出了每时刻卡尔曼预测均方根误差和估计均方根误差的Monte Carlo变化曲线(with uniform and Gaussian noise respectively,through 100 Monte Carlo simulations,output thecurves of sampled state prediction variances and estimate variances of kalman filter in each element vs.time step.)

归一化椭圆函数低通滤波器零极点计算程序 自动优化 zellip 主程序(zellip main program)

MATLAB 电机仿真教程，非常详细的仿真，希望对大家有帮助。(MATLAB motor simulation tutorial, a very detailed simulation, we want to help.)

利用模拟退火算法改进的kmeans算法，可以实现分类也可以用来分割，matlab版本(Improved simulated annealing algorithm kmeans algorithm can also be used to classify segmentation, matlab version)

MATLAB M FILES FOR CONTROL

分形维数的计算分形维数的计算分形维数的计算(hurst_exponent)

数字PID的matlab仿真程序，针对刘金琨的先进PID控制的matlab仿真，里面的部分程序进行了修改 第四章(Digital PID of matlab simulation program for Liu Jinkun matlab advanced PID control simulation, which part of the program were modified Chapter)

用Matlab实现Kuwahara滤波。(Use Matlab to implement Kuwahara filter.)

Prony算法工具箱。Prony方法是用一组指数项的线性组合来拟和等间距采样数据的方法,可以从中分析出信号的幅值、相位、阻尼因子、频率等信息。considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.(Prony algorithm toolbox. Prony method is used for a group of items to be linear combination of distance and other data sampling methods be able to analyze the signal amplitude, phase, the damping factor, frequency, and other information. Considerations including data preprocessing , model order selection, model order selection criteria. signal subspace selection, signal and noise separation, root inspection and assessing residuals. The P Tbox provides flexibility to compare and displ ay analysis results simultaneously for severa l parameter variations.)

《工程线性代数》源代码，包含书中每个例子代码，经过调试，版本matlab7.0(" Linear Algebra Project," the source code, including examples of code for each book, after debugging, version matlab7.0)