gmm

useful resources in matlab

峰值滤波用于数据特征处理，可提高算法运算速度和鲁棒性(Peak filter characteristics for data processing, the operation speed can be increased and the robustness of the algorithm)

Swerling case two radar target

基于RLS的RLS、SMI、SINR、LMS、MMSE算法的matlab环境下的自适应波束成型(Adaptive beamforming based RLS RLS, SMI, SINR, LMS, MMSE algorithm matlab environment)

太阳能光伏电池matlab仿真程序，运用牛顿拉夫逊迭代法求解(Solution of Solar Photovoltaic Cells by Newton Raphson Iterative Method Using matlab Simulation Program)

This a two dimensional level set code where the interface grows with normal speed equal -curvature. The code generates a movie showing the interface motion with and explicit first order in time algorithm with center differencing in space.

电力系统调度程序，运用于matlab,适用于学生科研研究(Power system scheduler)

Particle swarm optimization is a derivative-free global optimum search algorithm based on the collective intelligence of a large group of intercommunicating entities. The individual particles are simple and primitive, knowing only their own current locations and fitness values, their personal best locations, and the swarm s best location. Each particle continually adjusts its trajectory based this information, moving towards the global optimum with each iteration. The swarm as a whole displays a remarkable level of coherence and coordination despite the simplicity of its individual particles. The coordinated behavior of the swarm has been compared with that of a flock of birds or a school of fish.

通过C +FORTRAN 在Simulink中解Riccati代数方程(ALGEBRAIC RICCATI SOLUTION IN SIMULINK VIA C+ FORTRAN )

计算Erlang B,C 模型中阻塞率与输入负载随服务器数量变化的数值关系并绘图。 模拟一个M/M/k排队系统。 该资料为通信系统排队理论matlab实验内容。(Using the iterative scheme, calculate the blocking probability of the Erlang B and C model. Draw the relationship of the blocking probability and offered traffic while sever number varies. Simulate a M/M/k queue system with input parameters of λ, μ, k)