Linear Systems and Signals, 2nd Edition.zip

Graphical Layout Editor extends Graphical Editor With Palette.

some examples to solve problems with Genetic Algorithm. pdf

为NS初学者提供的讲座，英文版，是NS入门学习的得力资料。对与初学者来说，如果直接从NS手册来学习，会感觉无头绪，希望这个资料能对你有所帮助(NS Simulator Course for Beginners)

一个比较好的ppt模板，程序员汇报的时候可以使用(A good ppt templates, programmers can use when reporting)

本书讲述移动通信原理，系统地介绍了移动通信的历史，现状，未来，详细地分析了移动通信的基本技术原理(Book about mobile communications theory, systematic introduction to the history, current status of mobile communication, the future, detailed analysis of the basic technical principles of mobile communication)

多传感器数据融合，主要讲解了数据融合的一些原理和方法，并利用matlab进行编程的一些例子(Multi-sensor data fusion, mainly explained some principles and methods of data fusion, and some examples of using matlab to programming)

SNR largest independent component analysis algorithm, Fractal dimension calculation algorithm matlab code blankets, Target can be extracted in a picture you want.

薛培峰用FVCOM模式模拟长江盐水入侵的案例，很不错，很经典(Xue Peifeng FVCOM simulated by salt water intrusion in the case of the Yangtze River, is very good, very classic)

量化交易策略，华尔街宽客撰写，可值得参考。(Quantitative trading strategy, Wall Street quants writing, may be worth considering.)

统计学习是计算机及其应用领域的一门重要的学科本书全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、K近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归、与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(Statistical learning is an important subject in the field of computer and application of this book comprehensively systematically introduces the main methods of statistical learning, especially the supervision method of study, including the perception, K neighbor method, naive bayesian method, decision tree, logistic regression, and the maximum entropy model, support vector machine (SVM), promotion methods, the EM algorithm, the hidden markov model and conditional random field, etc.)