3in1

一、观察序列频谱，观察信号通过系统后波形与频谱的变化。 系统函数，根据正准型结构（canonical form）编写样本处理算法。 (First, observe the sequence of the spectrum, observing the signal waveform and frequency spectrum through the system after the changes. System function, according to canonical structure (canonical form) the preparation of a sample processing algorithm.)

simulink nod feeder in matlab

matlab环境下的时频分析，有仿真结果，有程序，希望对初学者有用(matlab Frequency-time analysis)

this is a crack for matlab 2010

matlab编写的对二值图像的数字水印添加与提取程序。压缩包中有示例图片。可以添加水印，结果肉眼不易分辨出变化，不影响使用。可加入信息长度达100个字节。提取时可验证是否被修改过，如修改不严重，可提取隐藏信息，如果修改过多，则只能确定是否有修改，而不知道隐藏的信息是什么(matlab prepared binary image of the digital watermark added and extraction procedures. Compression package has sample images. Can add watermarks, the results of the changes are not easily distinguishable from the naked eye, does not affect use. Can be added to the information length of 100 bytes. Verifiable extraction has been modified, such as modification is not serious, can extract hidden information, if too many modifications, you can only determine whether changes were needed, they do not know what information is hidden)

风速的随机模型，根据风速的随机性，随着时间的变化而输出随机的风速(Wind speed of the random model, based on the randomness of the wind speed, as the change of time and output random wind speed )

为了有效提取面邵表情特征，提出了一种新的基于LBP(局邵二值模式)特征的人脸表情识别特征提取方法首先用均值方差法对表情图像进行灰度规一化，通过对图像进行积分投影，定位出眉毛、眼睛、鼻和嘴巴这些关键特征点，进而划分出各特征邵件所在子区域，然后对子区域进行分块，提取各个子区域的分块LBP直方图特征(Abstract: In order to effectively extract facial expression feature,a novel facial feature extraction approach for facial expression recognition based on Local Binary Pattern(LBP) is proposed in the paper )

说明：  matlab实用程序百例 图像分析 图像的区域处理 图像的颜色处置 等实例(Utility hundred cases of image analysis matlab image processing the image color region instance disposal)

说明：  Matlab工程应用基础详细讲解了工程上的实际问题(Matlab engineering works on the basis of detailed account of the practical problems)

线性四面体元的有限元分析可直接利用的函数，包括求刚度矩阵，求体积，求整体刚度矩阵等，有重要的利用价值(Linear tetrahedral element finite element analysis can be directly used for functions, including seeking stiffness matrix, the volume demand, the global stiffness matrix of such demand, there is significant value in use)