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说明：  提供块和Python类以构建OFDM发送器和接收器 用于研究和教学目的，可动态配置的传输 参数。 包括基于Python Qt的可视化GUI。(Provides blocks and Python classes to build an OFDM transmitter and receiver for research and teaching purposes with dynamically configurable transmission parameters. Includes Python Qt based GUI for visualization.)

说明：  基于次优贝叶斯估计的非线形非高斯条件下的粒子滤波器的MATELAB仿真(based Bayesian estimation of non-linear non-Gaussian under the conditions of the particle filter simulation MATELAB)

说明：  实现雷达的空间谱估计，采用MUSIC算法，可实现多目标的位置估计(Space spectrum estimation of radar)

说明：  主要计算信号的幅度感知排列熵（AAPE）(The amplitude sensing permutation entropy (AAPE) of the signal is calculated.)

前后向平滑算法：算法的原理很简单，以五点三次平滑为例。取相邻的5个数据点，可以拟合出一条3次曲线来，然后用3次曲线上相应的位置的数据值作为滤波后结果。简单的说就是 Savitzky-Golay 滤波器 。只不过Savitzky-Golay 滤波器并不特殊考虑边界的几个数据点，而这个算法还特意把边上的几个点的数据拟合结果给推导了出来。(Before and after the smoothing algorithm: the principle of the algorithm is very simple, to 5.3 times smooth as an example. Take the adjacent five data points, you can fit out a curve 3 times, and then use the corresponding position on the third time the data value as the filtered results. Simply said is the Savitzky-Golay filter. However, the Savitzky-Golay filter does not specifically consider several data points of the boundary, and this algorithm also specifically to the edge of a few points of the data fitting results derived.)

针对单水听器的时间反转镜，给出了时反结果。(For a single hydrophone time reversal mirror, given the anti results.)

D-S证据理论的MATLAB代码函数文件 根据D-S理论，可以进行模式分类，消除不确定性。并附有能量检测的D-S判断函数文件、自己论文里的代码，希望对你有用(Code function file of D-S evidence theory in MATLAB. it can accomplish mode classification and eliminate uncertainty. besides that it includes that D-S operation in energy detection technology function file. this file has been used in my thesis, holp it can help you.)

说明：  雷达回波脉冲压缩常用代码，包括线性调频信号的时频特性，脉冲压缩，压缩后拓展等(Common codes for radar echo pulse compression, including time-frequency characteristics of LFM signal, pulse compression, expansion after compression, etc.)

LTE的系统级仿真平台的搭建，包含每个模块，以及每个模块如何使用，都有介绍，里面还包含两个pdf文档(LTE System Level Simulator Documentation,This document contains documentation on how to use the Long Term Evolution (LTE) System Level simulator [1] as well as some insight on its structure and the assumptions that were made while developing it. This document relates more on how to actually use the simulator. The concept and the structure of the simulator is described in more detail in [2])

信道比特分配需要根据信道好坏分配，可采用自适应chow算法 MATLAB编程( U81EA u9002 u5E94chow u7B97 u6CD5 MATLAB u7F16 u7A0)