jacobi-

例子程序，学习matlab的号程序，可以运行的调试过了的。(Examples of procedures, the No. matlab learning process, the debugger can run over it.)

有记忆预失真处理程序，可以实现对PA转换下饱和失真的处理(Predistortion with memory processes can be achieved under the PA saturation distortion conversion process)

基于对称性的车辆识别检测的论文，论文介绍了很多的不同的关于对称性的方法，还有一些研究生毕业论文，值得参看(Based on the symmetry of the detection of vehicle identification papers, the paper introduces a lot of different methods on the symmetry, there are some graduate thesis, worth to see)

Codes presented here are helpful in MATLAB mathematical transformations

kalman filter在参数估计中的应用(Kalman filter to estimate the parameters of)

barebones technique algorithm

说明：  用雷克子波正演地震记录，对模拟地震记录做F-K变换滤波(Carry out FK filtering)

To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 ％ + time varying measurement noise ％ using a multi-layer perceptron (MLP) and both the EKF and ％ the hybrid importance-samping resampling (SIR) algorithm. (To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.)

说明：  matlab神经网络应用设计》关于神经网络方面很重要的学习书籍(matlab神经网络应用设计》)

如何减少ISI？分别用NLMS,BLMS，基于符号的LMS算法完成仿真，并比较结果，包括不同信道参数w，不同数据块长度L对其的影响。(How to reduce the ISI? Respectively NLMS, BLMS, symbol-based LMS algorithm to complete the simulation, and compare the results, including different channel parameters w, different data block length L of its impact.)