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进行逐步线性回归算法，找到最合适的回归模型，进行数据分析(making the data is easy to look for the answer )

1． 该光盘包含了“信号与系统分析及MATLAB实现”一书的第十章所有程序； 2． 为了方便读者阅读程序，所有程序均采用中文注释。MATLAB的程序编辑器不支持中文显示，用户只需在Word下直接打开源程序文件，即可阅读程序中的中文注释； 3． 程序文件的命名分为以下三种类型： （1） 若为书中例题的程序，则程序文件名一律以ex开头，后面跟4位数字（前两位表示章号，后两位表示例题序号）表示的该程序所在例题的编号。例如，ex0603.m是例6.3的程序，而ex1102.m则是例11.2的对应程序。 （2） 若为书中图形的实现程序，则程序文件名一律以figure开头，后面跟4位数字（前两位表示章号，后两位表示图形序号）表示的该程序所绘图形的编号。例如，figure1203.m是实现图12.3的程序，而figure0710.m则是实现图7.10的对应程序。 （3） 若为函数文件，则直接以函数名命名，例如文件sconv.m即是书中函数sconv()的对应程序。 ()

说明：   本程序是对V-BLAST系统及其检测算法的仿真，可采用BPSK,QPSK,16QAM,64QAM调制。检测算法为ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法。(This procedure is the V-BLAST system and its detection algorithm simulation, can be used BPSK, QPSK, 16QAM, 64QAM modulation. Detection algorithm for the ML, MMSE, ZF, and the use of zero-forcing successive interference cancellation detection algorithm.)

Most practical filters exhibit steady roll-off characteristic, in contrast to the sharp transition from the pass and stop bands. The important families of filters are: Butterworth, Chebyshev and Elliptic. As part of this lab, we study and design Butterworth filters. Butterworth filters are simple to design and have a maximally flat pass band response. In contrast the Chebyshev and Elliptic filters are difficult to design and have ripples in pass/stop band but have sharper roll off characteristics than Butterworth filters.

详细介绍主元分析的步骤、用matlab具体的实现方式(Details the steps of the principal component analysis using matlab specific way to achieve)

仿真采用Erlang B模型，此仿真考虑用户呼叫时，若无空闲信道则被阻塞的情况。对话务量和阻塞率进行仿真(Simulation using Erlang B model, consider the user calls this simulation, the channel was idle without congestion. Blocking rate for traffic simulation )

该代码是matlab编写的C均值聚类算法，具有速度快，聚类效果好的特点(The matlab code is written in C means clustering algorithm, a fast clustering and a good effect)

recognition fingerprint

非负独立成分分析，用于盲源分离，输入为观测到的混合信号，输出原始非负独立成分。(nonICA,for estimating independent sources that are non-negative,especially for images.)

对于颜色空间中各种颜色空间的转换，用于提取颜色特征！MATLAB实现源码，效果不错！(For a variety of color space color space conversion, to extract color features! MATLAB source code to achieve good results!)