SystemParameterIdentification

基于16APSK调制解调传输系统的仿真 16APSK调制技术有较高的数据传输速率，但是它的误码率也相对较高。(16APSK modem-based transmission system simulation 16APSK modulation technique for a higher data transfer rate, but its relatively high error rate.)

Create a video file, by continuously reading an image from url (Create a video file, by continuously reading an image from url)

该程序描述的是数字电视地面广播中卷积交织部分.因为是卷积交织所以最后结果中出现为的数值表示该值是前一包缓冲数据的数.但针对第一包数据做卷积交织时,这些零位置上最后确实自动补零.(The procedure is described in digital TV terrestrial broadcasting in parts of Convolutional Interleaver. Convolutional Interleaver because it is so final results for the numerical value is that the previous data on the number of packet buffer. But for the first packet data do Convolutional Interleaver These zero position is indeed the last automatic zero.)

说明：  语音识别全过程的matlab程序，运行测试能出结果，希望对你们有用，实在没点数才把自己压箱底的东西拿出来,呜呜(The whole process of speech recognition matlab program, run the test to the result, I hope helpful for you, only then it did not point out what their own bottom pressure, the hum)

关于复数小波的matlab代码，用于图像去噪、图像增强等(of Complex Wavelet the Matlab code for Image Denoising, image enhancement, etc.)

ricetest testing rice channel

说明：  《MATLAB在电子信息课程中的应用》中的辅助程序，包含单位阶跃序列生成函数、单位脉冲序列生成函数、多项式补零相加，等( MATLAB curriculum in electronic information application of auxiliary procedures, contains the unit step sequence generating function, unit pulse sequence generating function, polynomial zero-sum premium, etc.)

Generalized Givens Transformation and its Application

Evolutionary Algorithms for Solving MultiObjective Problems第2版(Evolutionary Algorithms for Solving MultiObjective Problems)

谱聚类算法建立在谱图理论基础上，与传统的聚类算法相比，它具有能在任意形状的样本空间上聚类且收敛于全局最优解的优点。 该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量 ， 然后选择合适 的特征向量聚类不同的数据点。谱聚类算法最初用于计算机视觉 、VLS I 设计等领域， 最近才开始用于机器学习中，并迅速成为国际上机器学习领域的研究热点。(Spectral clustering algorithm based on the reproduction diagram theory, compared with the traditional clustering algorithm, it can have on the arbitrary shape of sample space clustering, and the advantage of converge to global optimal solution.The algorithm firstly according to the given sample data set defines a description of the data points of similarity in pairs of affinity matrix, and computing the matrix eigenvalue and characteristic vector, and then choose the appropriate feature vector clustering of different data points.Spectral clustering algorithm was originally used in computer vision, VLS in areas such as design, I recently started used in machine learning, and quickly became a hot issue in the field of international machine learning research.)