802.3-2012_section3

现代通信系统(MATLAB版)(第二版)刘树棠译 本书系Brooks/Cole出版公司（Thomson Learning出版集团的下属子公司）2000年推出的BookWare系列丛书（BookWare Companion SeriseTM）之一种。该书提供了利用MATLAB的普及型学生版本在计算机上解决“现代通信系统”这门课程中涉及的几乎所有方面的问题的分析思路、方法、MATLAB脚本文件和处理结果的范例以及供学生自主学习研讨的习题。全书内容分为9章，分别是：信号与线性系统；随机过程；模拟调制；模拟/数字转换；基带数字传输；带限信道的数字传输；载波调制的数字传输；信道容量和编码；扩频通信系统。 (This book Brooks/Cole Publishing (Thomson Learning Publishing Group, a subsidiary) in 2000 launched BookWare Series (BookWare Companion SeriseTM) of a kind. The book provides the advantage of the popularity-based student version of MATLAB on the computer to solve the " modern communications systems," This course covered almost all aspects of the analysis of ideas, methods, MATLAB script files and processing the results of examples, as well as independent study for students seminar to answer. The book consists of nine chapters, namely: Signal and Linear System stochastic process analog modulation analog/digital conversion base-band digital transmission band-limited channel digital transmission carrier modulation digital transmission channel capacity and coding spread-spectrum communication systems.)

code generates a random integer

智能控制器（刘金琨编著）RBF神经网络实例仿真(Intelligent controller (LiuJinKun) written by RBF neural network simulation instance)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

此matlab程序用于电力系统低频减载的分析处理，包含功率缺额计算以及电压的计算(aim at the analysis of the power system UFLS)

通过三个具体实例介绍乐MATLAB语言在化学中的应用，说明在数值计算方面其有着比目前流行的高级语言FORTRAN,PASCAL,C无法比拟的强大功能(through three specific examples music MATLAB in chemistry applications, Note the numerical calculation of their share than the currently popular high-level language FORTRAN, and PASCAL. C can not compare with the powerful functions)

多重分形去趋势交叉相关性分析DCCA,以及MF-DXA等程序代码，希望对大家有帮助(Multifractal cross correlation analysis of DCCA, and program code such as mm-dxa, hope to be helpful)

Artech House Space-Time Codes and MIMO Systems

matlab下实现的pca降维算法,降低数据维数，保留数据的主特征(pca dimensionality reduction algorithm on matlab)

说明：  用MATLAB实现AHP层次分析法，有具体实际讲解及PPT说明(AHP based on the MATLAB, you can learn it from the PPT and we have the example.)