assembler_all_in_al12372628734l

下行调度资源算法的matlab实现，整个程序很完整，可运行。(Right algorithm to implement the resources of matlab and the whole process is complete and work. )

for testing of particle in trajectory .

光通信中基本器件微环的基本分析，这个分析是在理想情况下分析的，没有考虑损耗(Basic analysis of the basic device in the optical communication microring, this analysis is in the ideal case the analysis, without considering loss)

本程序:采用平面梁单元计算两铰抛物线拱的自由振动特性 输入参数： 无 输出结果： 前3阶振动频率及其相应的振型 (failed to translate)

系统辨识参数,未知系统结构，通过实验数据辨识验证系统的阶次和系统结构参数(System identification parameters)

说明：  基于filedII的超声成像原理、方法的研究。该程序适合filedII初级学习者。(The ultrasound imaging based filedII principles, methods of research. The program for filedII primary learners.)

Create a rectangular QAM modulator, a QPSK modulator, and an AWGN Channel

采用锦标赛选择算子改进的遗传算法解决函数优化问题(Tournament selection operator using improved genetic algorithm to solve function optimization problems)

机动目标的跟踪问题一直是人们研究的重点，实现机动目标精确跟踪，首要解决的问题就是使所建立的目标运动模型与实际的目标运动模型匹配。目前常用的有多模型(MM)，交互式多模型(IMM)，切换模型等。多模型方法就是对一组具有不同机动模型分别进行Kalman滤波，最终的参数估计是各滤波器估计值的加权和；在多模型基础上，Shalom提出了交互式多模型方法，这一方法对无序目标的机动检测，显示了更好的鲁棒性和跟踪的稳定性；切换模型则是分别建立机动和非机动运动模型，利用机动检测实现在这两个模型之间的切换。一般来说，交互式多模型的跟踪性能较好。(mobile target tracking problem has been a focus of research and achieve precise maneuvering target tracking, the most pressing issue is to enable the establishment of the target model and the actual movement of the target model matching. At present, more commonly used model (MM), interactive multi-model (IMM), switching model. Multi-model approach is a group of different mobile models were Kalman filtering, The final parameter is the estimated value of the filter is estimated weighted; in the multi-model basis, Shalom made the interactive multi-model approach that the objectives of the motor disorder detection, better show the robustness and stability of the track; switching model is set up motorized and non-motorized sports model, the use of mobile testing to achieve in this model between)

图像处理之中的对已经预滤波的信号进行多小波分解的Matlab实验程序(Image processing are already pre-filtering of the signal decomposition Matlab Multiwavelet experimental procedures)