f5_18

数据同化的经典算法，集合卡尔曼滤波算法，用Matlab写的，里面附有一些参考文献，初学者适用(Classical algorithm of data assimilation, ensemble Kalman filter algorithm, written using Matlab, which with some references, for beginners)

matlab和ansys共同来求解工程问题的好书（附有程序包）。值得学习。(Matlab and ansys common to solve engineering problems of good books (with packets). Is worth studying.)

天线选择的参考资料，初学者必备！很有用的哦！(Reference antenna selection, beginners must have! Oh, very useful!)

两个传感器进行串联形式连接，融合系统贝叶斯风险曲线以及ROC曲线(Two sensors are connected in series, as well as fusion system Bayesian risk curve ROC curve)

认知无线电频谱检测中的能量检测模型的构建，以及产生不同信噪比的pf和pd的概率(Detection of Cognitive Radio Spectrum Detection Model for the energy and produce different signal to noise ratio of the probability pf and pd)

部分全国大学生数学建模竞赛题，及报告，算法很好(The title and the report of part of the National Undergraduate Mathematical Contest in Modeling)

matlab灰色关联度预测模型，带详细说明。 并计算残差，相对误差，级比偏差值。(Matlab gray relational grade prediction model, with detailed instructions. And calculate the residuals, the relative error level than the deviation.)

有关通信调制的程序：主要是涉及CMA_PMD_PDM_QPSK调制。可以利用上传的matlab程序导入到VPI等软件中，帮助建立完整的通信系统(Procedures for communication modulation: mainly related CMA_PMD_PDM_QPSK modulation. You can take advantage of upload matlab program introduced into the VPI and other software to help build a complete communication system)

A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction. KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.

一个基于PC声卡和matlab的实时语音信号采集分析系统，带有界面图形，功能较完善，这是读研究生的时候，导师安排的项目编写的(A PC-based real-time sound and matlab voice signal acquisition and analysis system with a graphical interface, function better, which is in graduate school, I arranged for the preparation of project mentor)