facialdas_v1.0

先进 PID 控制及其 MATLAB 仿真 （程序）教材及书中的matlab程序(Advanced PID Control and MATLAB Simulation (program) matlab program materials and books)

Build a Graphical User Interface to show off * uicontrols.

介绍了matlab中x，y坐标中小刻度标尺的几种画法(Matlab introduced several small-scale painting)

matlab里用于码元扩展的自定义程序，希望可以对你有帮助。(custom program matlab for symbol extension)

一个用于语音处理的非常好的工具箱，支持语音编码，语音识别等功能(A very good for speech processing toolbox, voice coding, voice recognition and other functions)

说明：  该代码是标准粒子滤波算法的标准代码，通俗易懂，能够运行。(The code is the standard code of the standard particle filter algorithm,it is easy to understand, and can be able to run. )

[信息与通信]MATLAB蜂窝无线仿真pdf，如有需要请下载([Information and Communication] MATLAB cellular wireless simulation pdf, if necessary, please download)

一个用MFC写的滤波器源代码，代码结构非常精巧，可以参考 功能：1 固定带通滤波 2 可变带通滤波 3 噪声删除 4 输入输出误差计算 实现比较简单，由于使用了Microsoft Foundation classes，代码流程很简单，但是实现的功能比较充分 Filter.h：头文件，定义了CFilterApp 类 Filter.cpp：利用MFC的函数实现了CFilterApp Filter.rc：资源文件，包括对话框和图标的说明(use a filter to write MFC source code, code structure is very delicate, can be functional : a fixed band-pass filtering two variable bandpass filter to delete four 3 noise input and output error calculation is relatively simple to achieve. As the use of Microsoft Foundation classes, code process is simple, but to achieve the more fully functional Filter.h : The first document, CFilterApp definition of the category Filter.cpp : MFC function realized CFilterApp Filter.rc : resource files, including dialog box and the note icon)

(Artech House Mobile Communications Library) Siegmund Redl, Matthias Weber, Malcolm W. Oliphant-GSM and Personal Communications Handbook-Artech House Publishers (1998)..a very good book for mobile engineers and students as well

阵列信号处理中MUSIC算法估计DOA,MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。(Array signal processing MUSIC algorithm for DOA estimation,MUSIC algorithm is a method of feature space based on matrix decomposition. From the geometric point of view, can be observed spatial signal processing decomposition into the signal and noise subspaces, obviously these two spaces is orthogonal.)