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说明：  ldpc编译码综述，介绍了ldpc的发展的研究现状及各种编译码方法。(ldpc codec Summary)

asynchronous machine

不完全数据分析MATLAB程序（部分信息重建）：最小均方估计、协方差矩阵、缺失值推测(Analysis of incomplete datasets: Estimation of mean values and covariance matrices and imputation of missing values)

说明：  具有自检测功能的交通路标识别系统代码。能自动识别常见的交通标志，检测道路信息。(Self-detection of traffic signs recognition system code. Can automatically identify common traffic signs, road information detected.)

一级倒立摆的模糊控制，系统性很强，可以再次基础上修改，实现其他算法(An inverted pendulum fuzzy control, systematic strong, can once again based on the modified algorithm to achieve other)

一些雷达公式用matlab来表示 对学习雷达有帮助(Some radar equation using matlab to express learning Radar helpful)

This is an implementation of Particle Swarm Optimization algorithm using the same syntax as the Genetic Algorithm Toolbox, with some additional options specific to PSO. Allows code-reusability when trying different population-based optimization algorithms. Certain GA-specific parameters such as cross-over and mutation functions will not be applicable to the PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox.

MATALAB功能强大且编程方便，广泛应用于各种算法的性能评估。文章简要 介绍了LSF声道滤波器原理，给出了用MATLAB实现LSF滤波器的流程图和程序代码。(MATALAB powerful programming convenience, which are widely used algorithms performance evaluation. The article briefed the LSF channel filter principle, given MATLAB LSF filter the flow chart and code.)

室内环境射线跟踪算法研究，室内反射点追踪的计算(Indoor environmental ray tracing algorithm to calculate the reflection point indoor track)

五组在matlab中应用的小程序：（1）carspls and carsplslda，竞争性自适应重加权算法（cars）筛选特征变量，并建立PLS定量或定性模型（2）mcuvepls 蒙特卡罗抽样无关信息消除后，建立PLS定量和定性模型（3）osc，正交信号校正的多变量数据处理方法（4）plot cars-lda-mcs,表征cars-lda-mcs的结果（5）demo 对以上carspls and carsplslda，mcuvepls 方法在matlab中实现举例演示(Five groups codes in matlabapplication: (1) carspls and carsplslda, competitive adaptive re-weighted algorithm (cars) for characteristic variables selection, and the establishment of PLS ​ ​ quantitative or qualitative model (2) mcuvepls， Monte Carlo sampling and the uninformative variables elimination （UVE）， and the establishment of quantitative and qualitative PLS model (3) Orthagnal signal correction（osc）, multivariate data processing method (4) plot cars-lda-mcs, characterization results of cars-lda-mcs (5) the demo about carspls and carsplslda, mcuvepls method implementation in matlab)