matlabhuatu1

通过MATLAB平台对通信仿真，研究讨论Turbo码的编译码结构，四种Turbo码译码算法，讨论Turbo码中几种常见的交织器，利用MATLAB软件平台进行并行级联Turbo卷积码的性能仿真，仿真评估了不同设计参数对Turbo码性能的影响。(Through MATLAB simulation platform for communications, research and discussion Turbo code decoding structure, four kinds of Turbo code decoding algorithm, discuss several common Turbo code interleaver, using MATLAB software platform for parallel concatenated convolutional codes Turbo Performance Simulation , simulation and evaluation of different design parameters on Turbo code performance.)

滤波器设计示例：matlab设计IIR基本示例，matlab设计IIR高级示例，matlab窗函数设计FIR滤波器基本示例。(Filter Design Example: matlab basic sample design of IIR, matlab advanced example of IIR design, matlab window function, the basic design of FIR filter example.)

小波包分析提取振动信号中的特征频率，快速扩展随机生成树算法，有小波分析的盲信号处理。( Wavelet packet analysis to extract vibration signal characteristic frequency, Rapid expansion of random spanning tree algorithm, There Wavelet Analysis Blind Signal Processing.)

MATLAB图形技术——绘图及图形用户接口(MATLAB Graphics Technology- Graphics and graphical user interface)

Nonsubsampled Contourlet Transform

This gives a brief discussion on speech processing

SUSAN算法，包括去除伪角点的方法，重心，非极大值抑制(SUSAN algorithm, including the method of removing false corners)

三维点云法向量估计综述由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一。法向量作为点云必不可少的属性 之一，其估计方法在点云处理中具有重要的位置。另一方面，由于点云获取过程中不可避免的噪声、误差和遮挡，点云中通常含 有噪声、外点和空洞，并且部分采样模型如CAD模型，也会存在尖锐特征，这些都给法向量估计提出了挑战。对当前已有的点云 法向量估计算法进行综述，分析其原理及关键技术，着重分析它们在处理噪声、外点和尖锐特征等方面的能力并给出比较，最后 为未来研究提供了一些建议(The three-dimensional point cloud normal vector estimation summarized obtain convenient, represents a simple, flexible, and becoming one of the methods commonly used three-dimensional model represents the point cloud. Normal vector of one of the as point clouds essential attributes, its estimation method has important position in the point cloud processing. On the other hand, the noise is inevitable in the process to obtain because of the point cloud, error and occlusion, point cloud typically contains noise outside point and empty, and part of the sampling model such as CAD models, there will still be sharp features, which gave the normal vector estimated that presents a challenge. Overview of current existing point cloud normal vector estimation algorithm, analysis of the principle and key technologies, and analyzed their ability to deal with the noise, the outer points and sharp features and gives comparison, and finally provide some suggestions for future research)

matlab/simulink/stateflow 建模规范(guidelines for matlab/simulink/stateflow)

说明：  Matlab教程，可以借助其学习和使用Matlab，使用软件过程中还可以查阅。(Matlab tutorials can make use of their learning and the use of Matlab, using the software process can access.)