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说明：  《数字通信（第四版）》答案 《数字通信》(第4版)是数字通信领域的一本经典教材,通过对概率论及随机过程的复习,详细介绍了数字和模拟信源编码、数字调制信号和窄带信号与系统的特征、加性高斯白噪声中数字通信的调制和最佳调制与检测方法、基于最大似然准则的载波相位估计和定时同步的方法、不同信道模型的信道容量及随机编码、带限信道的信号设计、受到符号间干扰恶化信号的解调与检测问题、自适应信道均衡、多信道与多载波调制、扩展频谱信号和系统、衰落信道上的数字通信。(The solution of "Digital communication" " Digital communication" (4th edition) is a digital communications of a classic textbook in the field, through the review process, the probability of randomly addressed, details of the digital and analog source coding, digital modulation signal and the narrowband signal and system characteristics, additive white Gaussian noise in digital communication modulation and the best modulation and detection methods, based on maximum likelihood criterion of carrier phase estimation and time synchronization method, different channel model of channel capacity and random coding, band-limited channel signal design by ISI worse signal demodulation and detection, adaptive channel equalization, multi-channel and multi-carrier modulation, spread spectrum signals and systems, fading channel digital communications.)

实现SVM数据挖掘分类模型，主要构造了SVM分类器。(Data mining to achieve SVM classification model, the main structure of the SVM classifier.)

这是我自己写的对图像进行预处理的matlab源程序，主要是对图像进行光照补偿、旋转与尺度归一化。上传上来和大家一起学习、分享。(This is I wrote it myself pretreatment image matlab source, mainly for image illumination compensation, rotation and scale normalized. From up and study together, to share.)

基于卡尔曼算法的AR模型系数预测，利用卡尔曼滤波算法对AR模型的系数进行实时更新，可以观察到预测准确度有明显提高(Kalman algorithm based on AR model coefficients predicted using the Kalman filter AR model coefficients for real-time updates can be observed significantly improve prediction accuracy)

利用EM算法对非线性状态空间模型参数估计，效果良好(The EM algorithm is used to estimate the parameters of the non-linear state space model with good results.)

牛拉法计算潮流程序，5节点系统，有运行结果(Method to calculate the trend of ox-drawn process, 5-node system, with running results)

解决了带有time index高斯混合模型的状态估计问题(An estimation technique for Time Indexed Gaussian Mixture Models)

Snake Algorithem,Snake Method Example

使用matlab程序编写的ACO算法过程，适合初学者(Use of matlab programming process of the ACO algorithms, suitable for beginners)

RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值(RBF (radial basis function neural network) network is an important neural network, RBF network training is divided into two steps, first step is to get through the initial clustering algorithm weight, the second step is the training of the network based on training data weight)