元胞自动机

实现了最低有效位LSB水印算法。 压缩文件中含有原图，可直接放到Matlab中运行。(We realize the least significant bit （LSB） watermarking algorithm. It contains all the images you need,and it can be run directly in Matlab.)

实现FFT谱分析，并进行全相位FFT谱与传统FFT谱的比较(To achieve FFT spectrum analysis, and comparison of all phase FFT spectrum with the traditional FFT spectrum)

波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)

采用前后向平滑以及最小冗余线阵的宽带源DOA估计仿真(Used before and after smoothing, as well as to the minimum redundancy linear array of broadband source DOA estimate Simulation)

Matlab function to generate a random vector with entire values without repetition.

功率谱的MATLAB仿真代码，希望能够帮助大家！(功率谱的MATLAB仿真代码)

IEEE上关于人耳图像识别的论文：使用改进的非负矩阵分解的人耳识别(Ear Recognition using Improved Non-Negative Matrix Factorization )

pid仿真控制器，设计了一个最简单的pid仿真器，并将其模块化(pid emulator)

维纳滤波，图像恢复，通过用matlab编辑的程序实现以上功能(wena )

基于Viterbi译码的硬判决与软判决接收机(Based on hard decision Viterbi decoding with soft decision receiver)