MATLAB

先进PID控制及Matlab仿真（第二版）PID，(advanced PID control and Matlab (2nd Edition) PID,)

根据简谱和十二平均律自动合成音乐，以及对音乐进行基频分析，分解为简谱。(According to the law and the 12 chords on average to synthesize music, as well as to the music on a frequency analysis, the decomposition for chords. )

基于Matlab的PCA人脸识别算法，代码注释清楚，实现简单。(PCA face recognition algorithm based on Matlab)

学习类书籍，应用数学字典，用于科学家及工程师(Learning books, applied mathematics dictionary for scientists and engineers)

经验模式分解算法是仿真分数阶高斯噪声(fGn)和分数阶布朗运动(fBm)的新方法， 利用MATLAB的GUI开发环境，设计和实现了基于经验模式分解的分数阶随机序列仿真系统。(Empirical mode decomposition algorithm is a simulation of fractional Gaussian noise (fGn) and fractional Brownian motion (fBm) of the new method, using MATLAB' s GUI development environment, design and implementation of empirical mode decomposition based on the fractional order random sequence simulation system.)

Maximum Likelihood Decoding

软判决在OQPSK解调中实现对信号纠错的分析与应用(Soft-decision in OQPSK achieve signal demodulation analysis and application of error-correcting)

uwb无线电基础代码，第九章，超宽带信道与接收机，共四个程序。(based on UWB radio code, Chapter IX, ultra-wideband channel with the receiver, a total of four procedures.)

改进斥力场函数和使用虚拟中间目标点法解决传统人工势场法局部极小值问题(Improving the repulsive force field function and using the virtual intermediate target point method to solve the local minimum problem of traditional artificial potential field method)

两种算法（LMS和RLS）实现CDMA系统盲多用户检测的仿真。结论验证了在加性高斯白招生信道下、同步DS-CDMA系统中接收机应用这两种盲多用户检测算法抑制多址干扰（MAI: multiple access interference）和码间串扰（ISI: inter symbol interference）的能力,仿真实验与理论推导相吻合。实验与理论都表明,RLS性能好于LMS，而LMS计算量明显小于RLS。(This paper discusses two algorithms (LMS and RLS) to achieve blind multiuser detection CDMA system simulation. Conclusion is verified in the Additive White Gaussian noise channel, the synchronous DS-CDMA system receiver applications both blind multiuser detection algorithm to suppress Multiple Access Interference（MAI）and Inter Symbol Interference (ISI) the ability of simulation is consistent with the theoretical. Both experiment and theory show that, RLS’s Performance is better than LMS, and the LMS ‘s computation was significantly less than RLS. )