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实验中使用随机反向传播算法对构造的神经网络进行学习，最终得到构造的神经网络的权值矩阵。(Experiment using the random back-propagation algorithm to construct the neural network learning, the final structure of the neural network obtained the weight matrix.)

循环冗余校验码(试验报告)(Cyclic Redundancy Check (pilot reports))

fig image fig tracker in put

从介绍功率谱的估计原理入手分析了经典谱估计和现代谱估计两类估计方法的原理、各自特点厦在Maflab中的实现 方法。(Start from the introduced power spectrum estimation principle analysis of the classical spectrum estimation principle of two types of estimation methods and modern spectral estimation, the respective characteristics of buildings in Maflab implementation method.)

Model Based Steganography Source code by Matlab

仿真一维均匀平面电磁波在自由空间（理想介质）中的传播(Simulation of a one-dimensional uniform plane wave in free space (ideal medium) the propagation)

说明：  基于Cao方法求得混沌时间序列相空间重构的最优化嵌入维的Matlab程序(Cao method, based on the chaotic time series reconstruction phase space optimization of the embedded peacekeeping procedures Matlab)

turbine for wind energy conversion system

通过设计一个二阶加权系数自适应横向FIR滤波器，对一个加随机噪声的正弦信号实现滤波。 具体设计方案为： 1，生成标准正弦信号S 2，生成等长的随机信号N 3，生成加随机噪声的正弦信号X 4，X通过参数可调数字滤波器，输出Y 5，Y与参考信号作差得到误差E 6，E通过自适应算法调整权值W 7，用LMS算法处理噪声干扰的信号，最终实现滤波器功能(A two order weighted coefficient adaptive transverse FIR filter is designed to filter a sinusoidal signal with random noise. The specific design scheme is as follows: 1, generating a standard sinusoidal signal S 2, generating an equal length random signal N 3, generating a sinusoidal signal X with random noise 4, X can adjust the digital filter by parameter and output Y 5, the difference between the Y and the reference signal is E 6, E adjusts the weight W through the adaptive algorithm 7, the LMS algorithm is used to deal with the noise interference signal, and the filter function is finally realized.)

来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。 This Toolbox provides a number of functions that are useful in computer vision, machine vision and related areas. It is a somewhat eclectic collection reflecting the author s personal interest in areas of photometry, photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation, feature extraction, camera calibration, camera exterior orientation, display, color space conversion and blackbody radiators. The Toolbox, combined with MATLAB and a modern workstation computer, is a useful and convenient environment for investigation of machine vision algorithms. It is possible to use MEX files to interface with image acquisition hardware ranging from simple framegrabbers to Datacube servers.(from Australia Qeensland University of Computer Vision Matlab toolbox. This Toolbox provides a number of functions tha t are useful in computer vision, machine vision and related areas. It is a somewh at eclectic collection reflecting the author's personal interest in areas of photometry. photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation and feature extraction. camera calibration. camera exterior orientation, display, color space conversion and blackbody radiator s. The Toolbox. MATLAB and combined with a modern workstation c omputer. is a useful and convenient environment for OAS stigation of machine vision algorithms. It is p ossible to use MEX files to interface with image acquisition hardware ranging from simple fram eg)