demarcate

说明：  该PPT着重阐述了matlab语言的绘图功能，包括二维绘图、三维绘图及各种特殊图形，并对MATLAB中的相关语句进行了说明。(The PPT focuses on the matlab language, drawing functions, including two-dimensional drawing, three-dimensional graphics and a variety of special graphics, and MATLAB, are described in the relevant statement.)

运动补偿编码与检测，matlab程程序源码与相应的文档说明 (Motion compensation coding and testing, Matlab process of program source code and the corresponding documentation)

matlab在工程数学中的应用，适合初学者学习(matlab application of mathematics in engineering, suitable for beginners to learn)

此文件实现了让语音信号通过低通，高通，带通滤波器使其变声，并且在GUI界面上绘出了个滤波器的频率响应和语音信号的频谱。(This file allows to achieve a voice signal through a low pass, high pass, band pass filter to make it change the sound, and plotted on a GUI interface and voice signal spectrum frequency response of a filter.)

脊线提取，利用连续小波变换提取信号中的脊线，(Ridge line extraction)

image processing KLT with samples

matlab机器人工具箱最新版robot9.8，里面有关于该工具箱的各方法的详细介绍的pdf文件。(matlab Robot toolbox latest version robot9.8, there are various methods descripted on the toolbox pdf file )

说明：  三次B样曲线的绘制,用TURBO C 完成(cubic B-spline curve rendering, complete with Turbo C.)

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.)

说明：  首先介绍一下早期的简单模型，即Boid（Bird-oid）模型。这个模型是为了模拟鸟群的行为而设计的，它也是粒子群优化算法的直接来源。(Because the simulation is too simple and far away from the real situation, a random variable is added to the velocity term, that is, in each iteration step, in addition to meeting the "nearest neighbor velocity matching", a random variable is added to each step of the speed, so that the whole simulation looks more realistic.)