jamming_cover

采用遗传算法解决多TSP旅行商问题的matlab工具箱，很有帮助(Using genetic algorithms to solve the traveling salesman problem TSP much matlab toolbox, helpful)

Good book on Kalman filter I have ever seen

University of Ulberta tutorials on magnetotelluric method. Matlab codes

S波段微功率雷达，支持：测速，测距，合成孔径成像 系统名称：S-MPR (S-Band Micro-Power Radar) 即：S波段微功率雷达（开源系统） (S-band micro-power radar support: tachometer, ranging synthetic aperture imaging system name: S-MPR (S-Band Micro-Power Radar): S-band micro-power radar (open source system))

The combination of EEM fluorescence and parallel factor analysis has proved to be a promising tool for studying DOM. These relatively inexpensive fluorescence measurements can be used in combination with other measurements to rapidly quantify and characterize DOM across a range of environments. This approach also has great potential in a wide range of other applications such as drinking water monitoring, waste water treatment control and the evaluation of ballast water exchange in ships. However, as with many new techniques, it is not as straightforward as could be desired and there are a range of potential pitfalls. For the approach to persist and become a trustworthy method, a basis for a standardized approach was required.

说明：  对比capon和music算法的测向效果，music采用特征分解法，测向比Capone更准确(Comparison of capon and music finding algorithm results, music by feature decomposition method, finding more accurate than Capone)

GNC toolbox mfile from Thor Fosen

RSS算法在宽带自适应波束形成中的MATLAB实现(RSS algorithm in broadband adaptive beamforming in MATLAB to achieve)

这是清华大学周红星教授关于时频分析的精彩论述！(This is the Tsinghua University, Professor Zhou Hongxing on time-frequency analysis of the wonderful discussion!)

旋转不变技术估计信号参数(ESPRIT)算法是子空间估计的两个经典方法,它们都能够有效地估计特征子空间。程序包里面实现了用LS估计和TLS估计的ESPRIT算法。(ESPRIT estimates signal parameters (ESPRIT) algorithm is estimated that sub-space of two classical methods, they will be able to estimate the characteristics of effective subspace. Inside a package with LS estimates and estimates of the ESPRIT algorithm TLS.)