MMA

高等应用数学的问题的matlab求解，学习matlab得好例子(Higher Applied Mathematics Matlab solving problems, learning good example Matlab)

ev-MOGA Multiobjective Evolutionary Algorithm has been developed by the Predictive Control and Heuristic optimization Group at Universitat Politècnica de València. ev-MOGA is an elitist multi-objective evolutionary algorithm based on the concept of epsilon dominance. ev-MOGA, tries to obtain a good approximation to the Pareto Front in a smart distributed manner with limited memory resources. It also adjusts the limits of the Pareto front dynamically.

本程序是现代谱分析中的clean的matlab程序，经过仿真验证，获得较为准确的结果。(This program is clean modern spectral analysis of the matlab program, through simulation, to obtain more accurate results.)

产生GPS32颗星的CA码,共包含2个文件,gps_ca_code.m用于产生任一颗星的CA码. Gen32CACode.m用于产生32颗星的CA码(Produce the GPS32 stars of the CA code, consists of two files, gps_ca_code.m CA code used to generate any one star. Gen32CACode.m used to generate the 32 stars of the CA code)

宽带信号DOA估计，matlab源码，程序(The broadband DOA Estimation, matlab source code, the program)

This function converts the input binary to soft bits and logs to file

抽取滤波器的matlab源代码实现预仿真，修改参数即可使用(Decimation filter matlab source code to achieve the pre-simulation can be used to modify the parameters)

岩质边坡极限平衡稳定性分析软件，功能强大(Rock slope stability analysis of limit equilibrium software, a powerful)

说明：  数值分析newton算法的matlab实现(Numerical analysis matlab newton algorithm implementation)

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)