Alpine1

LMS算法的matlab仿真，自适应滤波器的仿真实现，很基础也很常用的方法，一定要掌握的(LMS algorithm matlab simulation, Simulation of adaptive filter, it is also the basis of common methods, we must grasp)

全书包含390 多个计算范例。所有算例的程序是可靠、完整的。读者可以在自己的MATLAB 环境中完全准确地重现本书所提供的算例结果。算例的举一反三，将使读者很快掌握要领，从模仿走向灵活应用。本书既可作为理工科院校研究生、本科生系统学习的教材，又可以作为广大科技工作者掌握和精通MATLAB 的自学用书和使用手册。(The book contains over 390 computing paradigm. All examples of the program is reliable and complete. Readers can own the MATLAB environment Completely and accurately reproduce the book provided by the numerical results. Examples of replicability, the reader will quickly grasp the essentials, from imitation to Flexible application. This book can be used as engineering colleges graduate, undergraduate system of learning materials, but also can work as a scientific and technological Who self-mastery and mastery of MATLAB with the book and manual.)

电动汽车充电负荷预测，采用蒙特卡洛模拟方法matlab进行编程(electric vehicle charging load)

MATLAB 关于数学的一些资料，方便大家的学习，可以下载(Some information about the mathematics MATLAB to facilitate everyone' s learning, you can download)

Long-Term Evolution: Simplify the Migration to 4G Networks

说明：  Multirate滤波器设计。模拟带通信号频率范围1KHz—1.1KHz，设计一个采样频率8KHz数字频谱分析系统，要求频率分辨率0.1Hz。(Multirate filter design. Analog bandpass signal frequency range 1KHz-1.1KHz, design a sampling frequency of 8KHz digital spectrum analysis system, required frequency resolution of 0.1Hz.)

覆盖保存是WSN的一个基本质量要求。选择一个最佳的簇头，以满足长时间的监视区域的完全覆盖。使用覆盖意识的方法来选择簇头，而不是基于能量的方法，可以增加场景有效时间。(WSN coverage preservation is a basic quality requirements. Choose one of the best cluster head in order to meet long surveillance area completely covered. Awareness of the methods used to select the cover cluster head, rather than energy-based method, can increase the effective time of the scene.)

hysys and matlab link

CDMA功率控制用MATLAB进行下防真研究，是个不可多得的资料！(CDMA power control using MATLAB defense really under study, is a rare information!)

迭代最近点算法的一个简单实现，并使用了两个二维点集进行测试(an implementation and validation for the data association of two 2d point sets based on iterative closest points)