GAAS

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.

利用粒子滤波方法，实现目标跟踪的例子。能够直接运行。(Using particle filtering method to achieve target tracking .It can be run directly.)

用Matlab编写的SmithChart作图软件，是微波、电磁场、射频专业的会用到(Using Matlab SmithChart mapping software, microwave, electromagnetic fields, RF expertise will be used)

3G系统及仿真平台，包括3D MIMO，资源调度，协作多点传输，接收调制解调等(3G systems and simulation platform, including 3D MIMO, resource scheduling, coordinated multipoint transmission, the receiving modem, etc.)

声波在水中传播计算的matlab工具箱，包括射线模型、简正波模型、快速场模型等(underwater acoustic Simulaton toolbox for matlab)

该模型能够通过准确的仿真光伏电池的输出特性，如p-v以及I-V的变化曲线(the character of pv)

说明：  针对给定信号采用不同的经典功率谱估计方法进行信号的谱估计，性能不错！(For a given signal using different classical power spectrum estimation methods for signal spectrum estimation, performance, good!)

说明：  OQPSK调制的仿真，给出了I和Q支路的BPSK调制信号图。窗函数可选矩形窗和升余弦窗。(OQPSK modulation simulation, given the I and Q branch BPSK modulation signal Fig. Optional rectangular window function window and the raised cosine window.)

Bloch simulator. [mx,my,mz] = bloch(b1,gr,tp,t1,t2,df,dp,mode,mx,my,mz) Bloch simulation of rotations due to B1, gradient and off-resonance, including relaxation effects. At each time point, the rotation matrix and decay matrix are calculated. Simulation can simulate the steady-state if the sequence is applied repeatedly, or the magnetization starting at m0. INPUT: b1 = (Mx1) RF pulse in G. Can be complex. gr = (Mx1,2,or 3) 1,2 or 3-dimensional gradient in G/cm. tp = (Mx1) time duration of each b1 and gr point, in seconds, or 1x1 time step if constant for all points

Train and test a GMM model and a SVM model in matlab