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DateConvert：简单而快速的日期转换 DateConvert转换DATESTR（0）格式的日期向量或序列号和日期向后。 Matlab的DATENUM，DATEVEC和DATESTR接受各种不同意见，但结果他们是缓慢的。如果输入格式正是众所周知，转换可以更快： DATENUM（ 17 - 10 - 2009 11时08分23秒 ）：2.97秒 DateConvert（ 17 - 10 - 2009 11时08分23秒 ， 号码 ）：0.039秒 =>“1.3％（1000环，1.5GHz的奔腾- M的，利用Matlab 7.7） DateConvert不*不*验证作为Matlab的日期函数输入日期： DATEVEC（ 32 - 2 - 2008 25:62:63 ）的答复[2008 3 4 2 2 7] DateConvert（ 32 - 2 - 2008 25:61:67 ， 载体 ）的答复[2008 2 32 25 61 67]！ 因此DateConvert几乎微不足道，但对速度进行了优化。我需要时间排序200 000邮票，并从217个减少到11秒的时间。 请运行单元测试TestDateVec检查的有效性和速度。 测试：利用Matlab 6.5，7.7，7.8，winxp的，32位。 纯Matlab代码，所以兼容性的MacOS，Linux操作系统，64位预期。 英语月份名称是必要的。(DateConvert: Simple but fast date conversion DateConvert converts the DATESTR(0) format to a date vector or serial date number and backwards. Matlab s DATENUM, DATEVEC and DATESTR accept a variety of inputs, but in consequence they are slow. If the input format is exactly known, the conversion can be much faster: DATENUM( 17-Oct-2009 11:08:23 ): 2.97 sec DateConvert( 17-Oct-2009 11:08:23 , number ): 0.039 sec => 1.3 (1000 loops, 1.5GHz Pentium-M, Matlab 7.7) DateConvert does*not* validate the input date as Matlab s date functions: DATEVEC( 32-Feb-2008 25:62:63 ) replies [2008 3 4 2 2 7], DateConvert( 32-Feb-2008 25:61:67 , vector ) replies [2008 2 32 25 61 67] ! So DateConvert is nearly trivial, but optimized for speed. I needed it for sorting 200 000 time stamps and reduced the time from 217 to 11 sec. Please run the unit-test TestDateVec to check validity and speed. Tested: Matlab 6.5, 7.7, 7.8, WinXP, 32bit. Pure Matlab code, so compat)

基于matlab的语音处理程序,可实现经过各种滤波器后的频谱图,幅度图等.(Matlab-based voice processing procedures, can be realized through a variety of filters after the frequency spectrum, range maps.)

二维TE波传播的FDTD仿真，UPML边界条件(TE wave propagation in two-dimensional FDTD simulation, UPML boundary conditions)

用matlab编写的一个人机界面，具有读取文件功能，操作按钮功能等(A matlab GUI program which can read file, operating button act.)

计算声压级及滤波器设计的，具有很重要的作用( One-third-octave band frequency analyser)

GCP是地面控制点的缩写，主要是处理地面控制点的类，包括控制点的读取处理以及写出。(GCP is an acronym for ground control points, mainly handling ground control points, including read and write process control points.)

从雷达目标接收的信号通常埋在 热噪声和杂波。正如杂波加噪声电源 不知道先验，固定的阈值检测方案不能 假警报才会应用于雷达回报 控制。(The signal received from a radar target is usually buried in thermal noise and clutter. As the clutter-plus-noise power is not known a priori, a fixed threshold detection scheme cannot be applied to the radar return if the false alarm is to be controlled.)

program ica Iin basic and theory by matlab

test car lane changing with matlab simulink based on fuzzy control test 4.

Potential Equation for a Flow