Matlabrumentojingtong

详细讲解MATLAB7_0的新功能和特点，PDF文档(MATLAB7_0 elaborate on the new functions and features, PDF documents)

《统计与自适应信号处理》是国外最新出版的一本统计信号处理教材。其主要特点是对统计与自适应信号处理的理论方法、实现及应用给出了较完整的论述和介绍。作者根据其多年的教学经验，并针对现代信号处理的理论及应用方面的重要性，选定谱估计、信号建模、自适应滤波与阵列信号处理等几个关键论题进行了详细的讨论。《统计与自适应信号处理》强调基本概念和理论方法，目的是为读者以后深入研究一些信号处理的新课题打下良好的基础。为了便于掌握，书中的数学描述和推导仅限于高年级本科生、研究生和工程技术人员能够理解的水平，因此《统计与自适应信号处理》具有较强的实用性。 《统计与自适应信号处理》适用于大学高年级本科生和研究生作为选修现代信号处理课程的教学参考书，也可作为工程技术人员自修现代信号处理理论及应用的参考书("Statistical and Adaptive Signal Processing" is the latest edition of a foreign statistical signal processing materials. Its main characteristic is the statistical theory and adaptive signal processing methods, and applications are given to achieve a more complete discussion and description. According to their years of teaching experience, and for modern signal processing theory and application of the importance of the selected spectral estimation, signal modeling, adaptive filtering and array signal processing, and several other key topics were discussed in detail. "Statistical and Adaptive Signal Processing," emphasizing basic concepts and theoretical methods, the reader is intended to signal processing after the in-depth study some new issues and lay a good foundation. In order to facilitate control, the mathematical description and derivation of the book is limited to advanced undergraduates, graduate students and engineers to understand the levels, "Statistical and Adaptive Signal)

随机采样文件1，在MATLAB上进行仿真的(random sample)

matlab下的k中心点聚类算法，matlab内置仅有k均值聚类算法(k under the center clustering algorithm matlab, matlab built-k-means clustering algorithm only)

基于matlab来描述静电场的分布，基于matlab描述电偶极子的分布。(Matlab-based to describe the distribution of electrostatic field, matlab-based description of the distribution of electric dipole.)

说明：  RINEX 2.1 观测数据文件读取程序(RINEX 2.1 data file read process observed)

都是关于空间普估计算法，其中有解相干和非相干算法以及它们之间的对比( the spatial spectrum estimation)

使用matlab软件实现鲁棒控制技术，对电力系统中电频率控制能很好的实现(Using matlab software robust control technology, electric power system frequency control can achieve good)

RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work.

说明：  这是一份介绍MATLAB的WORD版教程，里面有具体的实例，对于初学者很有用，欢迎大家下载学习。(This is a description of the WORD version of MATLAB tutorial, there are specific examples useful for beginners, are welcome to download the study.)