ML-estimation-for-linear-regression-model

说明：  LPC系数构造声道函数 通过LPC系数构造声道函数，然后与FFT变换进行比较，看两者关系(LPC coefficients of structural channel function)

说明：  数字通信中的平方根Nyquist滤波器设计，含说明文件和matlab仿真代码(The square root Nyquist digital communication filter design, including documentation and matlab simulation code)

使用matlab编写的卫星软件接收机程序，包括捕获跟踪(The use of matlab prepared by the satellite software receiver program, including capture tracking)

Andrew J. Davison的源程序MATLAB版本，发表于2006年的SLAM夏令营。附有程序使用说明。 Matlab-based MonoSLAM with Inverse Depth(MATLAB source version of the Andrew J. Davison, published in 2006, SLAM summer camp. With program instructions. Matlab-based MonoSLAM with Inverse Depth)

matlab 模拟例程. 1.子该程序能在给定的区域内自动产生一个基站的分配图. 2.求得所有同频的频道. 3.计算信噪比. 4.计算信噪比可用百分比.(1. Generate a wireless base station coordinater and co_channels architecture 2. Calculate CINR. 3. Show a hithrgram for CINR of user corrdinaters. )

说明：  经典书籍 剑桥大学大学出版社： 无线通信基础(Book Description: The past decade has seen many advances in physical layer wireless communication theory and their implementation in wireless systems. This textbook takes a unified view of the fundamentals of wireless communication and explains the web of concepts underpinning these advances at a level accessible to an audience with a basic background in probability and digital communication. Topics covered include MIMO (multi-input, multi-output) communication, space-time coding, opportunistic communication, OFDM and CDMA. The concepts are illustrated using many examples from real wireless systems such as GSM, IS-95 (CDMA), IS-856 (1 x EV-DO), Flash OFDM and UWB (ultra-wideband). Particular emphasis is placed on the interplay between concepts and their implementation in real systems. An abundant supply of exercises and figures reinforce the material in the text. This book is intended for use on graduate courses in electrical and computer engineering and will also be of great interes)

Blues音效算法设计及Matlab仿真(Blues audio algorithm and Matlab simulation)

matlab编写的MIMLSVM算法，可对多示例多标记样本进行分类，并计算正确率等多个评价指标，算法准确无误，可以运行，附有作为例子的数据和主程序。(matlab prepared MIMLSVM algorithms for multi-instance multi-label classification of samples and calculate the correct rate and other evaluation algorithm is accurate and can run with the data and the main program as an example.)

传统的决策树能较好地解决分类问题，但当类的个数增多时，所产生的单一决策树就会变得复杂，同时概括能力降低。 该文采用基于层次分解的方法通过产生多层决策树来处理多类问题。 与传统的单一决策树比较， 基于层次分解的决策树在处理多类问题时有许多的优势。(induction learning,decision tree,id3 ,hiberarchy decomposition)

这是一个非常适合初学者的Matlab教程，里面讲的东西简洁明了，而且可以作为教学用。(This is a tutorial for beginners in Matlab, which was about things concise, and can be used as a teaching.)