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说明：  小波分解的代码，并且计算出准周期，是一个入门级别的代码，仅供参考。(Wavelet decomposition of the code, and calculate the quasi-periodic, is an entry-level code, for reference purposes only.)

基于Matlab simulink 环境下开发的发动机仿真。(Development of the engine simulation of Matlab Simulink-based environment.)

通信原理课程设计：语音信号基带通信传输系统仿真基于DPCM编码和循环码 (Communication Theory Course Design: speech signal base-band telecommunication transmission system simulation Based on DPCM coding and cyclic codes)

说明：  简单的FFT分析处理，可以进行简单的分析处理(A simple FFT analysis and processing)

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

这个是LBP人脸算法，对学习者有很好的帮助，关于人脸表情识别，这里是基于ORL人脸库。(This is the human face LBP algorithm, the learners have good help, on facial expression recognition, here is based on the ORL database.)

direct matrix inversion algorithm matlab code

内弹道计算程序，准确描述了内弹道过程，通俗易懂(Interior ballistics calculation program, an accurate description of the interior ballistics process, straightaway)

谱分解（Spectral decomposition），是将矩阵分解为由其特征值和特征向量表示的矩阵之积的方法。(Spectral Decomposition , is the product of the matrix into the matrix method by eigenvalues and vector representation.)

在DOA估计中，实际测量和理论肯定存在误差，比如通道误差，阵元位置误差，我们提出一种toplitz的预校正方法。(In the DOA estimate, the actual measurement and theory certainly exist errors, such as channel error, array (position errors, we put forward a kind of toplitz or calibration methods. )