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matlab是实现通信理论及应用的很有用的一个工具，本文会给你很多启发(matlab is to achieve communication theory and application of a very useful tool, this article will give you a lot of inspiration)

rlseq.m 均衡算法 用RLS算法实现(rlseq.m equalization algorithm using RLS algorithm)

用有限差分法求双脊金属加载矩形波导的基模及第一个高阶模的色散特性曲线( Finite difference method seeking double-ridged metal loaded rectangular waveguide fundamental mode and first higher order mode dispersion characteristic curve)

MATLAB排队模型，事实证明这是可行的时有一定的科学依据的(MATLAB query model)

信道容量的计算，实现了其基本功能。信道容量计算(Calculation of channel capacity to achieve its basic features. Calculation of channel capacity)

高斯拟合的应用，在曲线方面的应用，个人认为很有用(Gaussian fitting of the application, the application of the curve, think useful)

交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点， 很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等 优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内 用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺 点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典PID 控制器相比，阶跃响应的调整时间减少了33. 7 ，并且无超 调，轨迹跟踪误差减小了47. 2 .(AC servo system because of the presence of parameter variations, load disturbances and non-linear motors and other shortcomings, it is difficult to establish accurate models for fuzzy (fuzzy) control without having to build a mathematical model of controlled object, robustness and good However, steady-state accuracy is poor. fuzzy control and PID control are combined to design a dual-mode Fuzzy-PID controller in the sub-region to achieve control on the different control methods, so that a combination of fuzzy control and PID control advantages to overcome their disadvantages. simply the controller structure, easy to implement. experiments on semi-closed loop AC servo system did show that the Fuzzy-PID controller is compared with the classic dual-mode PID controller, step response The adjustment time is reduced by 33.7 , and no overshoot, tracking error is reduced 47.2 .)

自适应算法 主要用于自适应天线的算法防真程序(Adaptive algorithm used mainly for anti-adaptive antenna algorithms really procedures)

LMF波形的模糊函数，用matlab编写。(LMF waveform ambiguity function, written with matlab.)

关于低密度奇偶校验码的生成，采用matlab编写，主要是校验矩阵的产生 (on low-density parity-check code generation, prepared using Matlab, mainly for the selection of calibration matrix)