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听觉信号加工的双通路模型是北大教授吴玺宏2008年的一篇很重要的文章(Two-channel audio signal processing model)

MATLAB实现基于EEMD和prony信号分解的故障测距模型。也可配合EMD文件。 内有备注(MATLAB realization of fault location model EMD and prony signal decomposition. But also with EMD file. There are Notes)

说明：  使用matlab实现ofdm经过PA后在接收端进行失真抵消算法的仿真，其中调制方式包括mqam或mpsk(After the realization of OFDM using matlab at the receiving end after the PA distortion cancellation algorithm to carry out the simulation, which includes modulation MQAM or MPSK)

正弦信号的pcm编码、译码matlab仿真(Sinusoidal signal pcm encoding, decoding matlab simulation)

采用meanshift算法，对小目标进行跟踪，并在多种背景条件下对算法进行验证(Meanshift algorithm used for small target tracking, and in a variety of background conditions to verify the algorithm)

[信息与通信]MATLAB蜂窝无线仿真pdf，如有需要请下载([Information and Communication] MATLAB cellular wireless simulation pdf, if necessary, please download)

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)

GMM工具箱，第二部分。包含GMM建模的各种函数。(GMM toolbox, part II. GMM modeling contains a variety of functions.)

第三版天线经典教材的源代码，让大家一起学习了！！！！(Third edition of the antenna, the source code of the classic textbook, so that we learn together! ! ! !)

两个（生物地理算法和粒子群算法）智能优化算法MATLAB程序(Two (biogeographic algorithms and particle swarm optimization) intelligent optimization algorithm MATLAB program)