work-DFE-the-very-best-

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.)

control simple Z converter in matlab simulink

灰色预测的问题，基本上稍微改动即可。希望对大家有所帮助。(Grey in question is basically a little modification to)

电力系统经济调度程序，很使用，适合初学者(Power system scheduler, economic, use is suitable for beginners)

说明：  使用粒子群算法解决10个城市的旅行商问题 可绘制图形(Use the particle swarm algorithm to solve traveling salesman problem of 10 cities can draw pictures)

用AR模型对脑电信号特性进行提取，用的是matlab进行编程(AR model with the extracted EEG features, with the matlab programming)

说明：  多目标粒子群算法，求解多目标问题的经典的算法之一(multi-object PSO, one of the classical algorithms for solving multi-objective problems)

高斯噪声关于频率的最大似然估计,对初学者有很大帮助(Gaussian noise on the frequency of maximum likelihood estimation)

使用改进的LBP算法CLBP实现图像纹理特征的提取，并使用卡方统计方法计算类间距离并实现图像分布。本人已经实验，对15类病毒图像进行分类，不调任何参数的情况下实现67 以上的准确率。( Using an improved algorithm CLBP LBP texture feature extraction of image, and use the chi-square statistic calculated inter-class distance and achieve image distribution. I have experimented on 15 viroid image classification, and more than 67 accuracy rate without adjusting any parameters.)

关于贝叶斯统计模型的经典好书，详细介绍各种贝叶斯模型以及求解方法(introduce bayesian statistics,including a variety of models and methods,such as Linear Regression Model, mcmc, and so on)