duotezhonghongxianbaojing

matlab6.x信号处理,超星pdg格式，清华大学出版社(matlab6.x signal processing, Chaoxing PDG format, Tsinghua University Press)

一个蚁群算法的matlab源程序,置入matlab目录后即可直接调用(附蚁群算法简介)(An ant colony algorithm matlab source, placed directly after the directory matlab call (with Ant Colony Algorithm Introduction))

STBC_MIMO_OFDM2发或3发，2收(STBC_MIMO_OFDM)

matlab遗传算法工具箱遗传算法的使用总结(matlab genetic algorithm toolbox genetic algorithm using summary)

华盛顿大学机器人课程的教学作业，是学习Kalman滤波和粒子滤波很好的仿真平台。稍加改动可以将该平台作为SLAM学习，多目标跟踪等问题的实验平台。深入学习可以得到更多回报，具体算法的实现可以参考本站内的EKF-SLAM和Fast-SLAM(You are to write a particle filter and a Kalman filter for robot localization. The script generates motion information according to the odometry-based motion model. Observations are landmark detections. Each landmark has a unique ID. )

在无线通信体系中,由于开放的通信信道条件,卫星通信系统中通信链路容易受到平均大气条件的影响,尤其是采用Ka波段的高频信号的系统,容易受到降雨造成的雨衰影响,严重影响了系统的有效性和可靠性。(In a wireless communication system, the communication channel open, average atmospheric conditions vulnerable to the communication link in satellite communication system, especially the system of high frequency signal using Ka band, vulnerable to the influence of rain attenuation caused by rainfall, seriously affect the validity and reliability of the system. In digital systems, channel coding is often used to improve reliability, while modulation is used to ensure effectiveness. Low order modulation and large redundancy coding are adopted to improve the reliability.)

伪码调相雷达是相位编码雷达的一种，所谓的相位编码雷达就是用码字调制载频信号,通常码字的选择在某种意义上决定了其性能和处理的方式，相位编码根据其调相码字制式的不同，可分为多相编码和二相编码，根据调相码字有无周期性,可分为随机码调相和伪随机码调相。相位编码中比较常用的是二相码，二相码即采用两个相位状态对载频信号进行相位调制。在相位编码中，伪随机码由于其良好的性能和易实现等特点而得到了广泛的应用。(Pseudo phase coded pulse radar signal processing.)

主要介绍了MATLAB中常用的函数。按照函数名首字母排序，已注明其对应功能。(Mainly introduces the commonly used MATLAB function. In accordance with the function of the first alphabetical order, specifying the functionality of its counterparts.)

a code bezier parameters

when SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high. However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator. So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.