chapter16

多用户检测的MATLAB实现 希望对大家学习有帮助(duoyonghujiance)

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present

< MATLAB导论>>电子书,也可以用作命令速查,是麻省理工大学 电气工程与计算机科学系的matlab的一个入门教程,特别是在信号和系统中应用!()

本程序介绍了相关算法在干涉仪侧向上的应用，具有很好的实时性。(This procedure describes the lateral correlation algorithm in the application of interferometer has good real-time.)

应用简单的穷举算法解决遍历所有点距离最短的问题(Exhaustive algorithm to solve the problem through all of the shortest distance)

mimo－ofdm系统仿真，matlab源程序(mimo- ofdm system simulation, Matlab source)

本文借助于矩阵对的标准相关分解(CCD)技术,给出了问题P的通解表示 并且得到了矩阵方程有解的一个充要条件. (THE LEAST-SQUARE SOLUTIONS OF A MATRIX EQUATION )

sample visua basic hoc tap bao cao

对固定位置的惯性器件的输出进行处理,实现位置姿态的对准(Fixed position on the output device for processing inertial achieve alignment position and attitude)

kfcm，为模糊核聚类算法，用于将低维的数据映射到高维进行分类，是较先进的算法(kfcm, the fuzzy kernel clustering algorithm for low-dimensional data is mapped to high-dimensional classification, is a more advanced algorithms)