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As all of you know, MATLAB is a powerful engineering language. Because of some limitation, some tasks take very long time to proceed. Also MATLAB is an interpreter not a compiler. For this reason, executing a MATLAB program (m file) is time consuming. For solving this problem, Mathworks provides us C Math Library or in common language, MATLAB API. A developer can employ these APIs to solve engineering problems very fast and easy. This article is about how can use these APIs.

QAM实现程序 此程序实现了QAM信号的输出，通俗易懂。(QAM procedures to achieve the realization of this process the output of the QAM signal, easy to understand.)

curvelab 2.1.1 包含C++以及matlab程序(curvelab 2.1.1 containing cpp & matlab)

OFDM的性能仿真，多址接入方式，可以运行，已经运行成功(Performance simulation of OFDM, multiple access methods, you can run, has been running successfully)

说明：  对曲线进行拟合，使得最后拟合的数据与元数据的误差最小(The curve fitting, so that the final fitting of the data with the metadata minimum error)

说明：  广义预测控制matlab源程序，可以直接运行。只需在模型部分修改即可完成自己的目标。(Matlab source program of GPC)

不用交织的turbo码 很好用 自己试过的 应该会有所帮助的(this is a matlab programme zbout turbo code!you can use it comfortably!)

ex9_1 脉冲信号调制 ex9_2 载波10MHz，带宽2MHz的线性调频信号及其频谱图 ex9_3 产生7位巴克码编码的二相码 ex9_4 产生7位巴克码和线性调频的混合调制信号 ex9_5 瑞利分布实现程序 ex9_6 瑞利分布＋杂波 ex9_7 相关对数正态分布杂波 ex9_8 相关weibull分布杂波 ex9_9 相干相关K分布杂波 ex9_10 线性调频信号的数字化正交解调 ex9_11 雷达脉冲压缩处理 ex9_12 二相编码信号的脉压处理 ex9_13 用FFT和FIR方法实现MTD处理 ex9_14 雷达的恒虚警处理（CFAR） ex9_15 比较相参积累和非相参积累(Two-phase pulse ex9_12 shrinking treatment coded signal processing using FFT and FIR ex9_13 MTD processing methods to achieve ex9_14 radar CFAR (CFAR) ex9_15 relatively coherent and non-coherent integration accumulation)

分配聚类号，聚类编号，记录各聚类中心的距离，(Distribution of cluster number, cluster number, record the distance from the cluster centers,)

毕业设计 混沌系统的非线性控制同步 含参考文献(chaos_with_nonlinear_controller)