Crack_dsp_builder_11.1

说明：  当前统计模型的跟踪方法，并给出相应的目标运动轨迹和预测估计，程序经证明是有效的。(Current statistical model of the tracking method, and gives the corresponding target trajectory estimates and projections, the program proved to be effective)

这是在MATLAB环境下实现ppm调制解调的程序代码(This is the code in the MATLAB environment ppm modem)

第一次作业_基于分类算法的雷达状态识别 对于本数据集中的雷达状态识别，数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响；数据降维后使用神经网络算法最优，支持向量机算法其次，朴素贝叶斯算法较差。此外，训练样本越多，分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)

求两个向量最大相关性,相关系数，主要是用于处理多维向量的情况(canonical correlation analysis)

用于调制识别的代码，通过提取特征参数，实现bpsk，qpsk等调制方式的识别(For modulation recognition code, through the extraction of characteristic parameters, implementation bpsk, qpsk forms of identification, such as modulation)

2 1stbc coding 2 1stbc调制程序(2 1stbc coding 2 1stbc modulation program)

对舰船目标回波信号进行分析，并对信号进行多普勒频移，脉冲展宽等研究，最终构建回波信号(The echo signal of ship target is analyzed, and the Doppler frequency shift and pulse broadening are studied. Finally, the echo signal is constructed.)

基于合众达公司DSP开发板SEED_DEC28335的例程，全部是结果检验之后的例程，希望对各位兄弟有用。(DSP-based development board of the company,SEED_DEC28335 routines, after all the routine test results, I hope useful to you brother.)

蜂窝移动通信系统中的同频干扰仿真。旨在找到簇大小为N时，无线移动蜂窝系统中同频干扰的分布。(Co-channel interference in cellular mobile communication system simulation. To find the distribution of cluster size N, wireless mobile cellular systems in the same frequency interference.)

在电机参数随着系统运行变化时，通过递推最小二乘法在线参数辨识获得实时更新的电气参数，减小系统运行的误差(When the motor parameters change with the system operation, the real-time updated electrical parameters are obtained by the recursive least square method on-line parameter identification, and the error of the system operation is reduced.)