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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)

基于随机共振的弱信号检测，sr为龙格库塔方法解方程，rs为检测的主程序(Based on stochastic resonance in weak signal detection, sr for the Runge-Kutta method to solve the equation, rs for the detection of the main program)

　MATLAB 聚类和近邻搜索模块代码如下(MATLAB clustering and nearest neighbor search module code is as follows)

programs in matlab designing

说明：  DBSCAN聚类算法matlab算法部分代码，包含主程序及画图程序(DBSCAN clustering algorithm matlab algorithm part of the code)

Watermarking algorithms built using matlab

说明：  非正弦信号的波束形成程序，和利用相位的常规波束形成不同，非正弦信号的波束形成首先匹配滤波，提取包络，然后延时相加，(Non-sinusoidal signal beamforming process, and the use of conventional beam-forming phase is different from non-sinusoidal signals in the first match beamforming filtering, envelope extraction, and then add delay,)

经典的二阶矩四阶矩信噪比估计，有不经过上采样、成型滤波和经过上采样、成型滤波的两种版本。加噪方式也分别用了matlab自带函数和自写两种版本。望大家参考。(Second Moment classic SNR estimation fourth moment, there is not through the sampling, the shaping filter and sampled, two versions of shaping filter. Plus noise mode were also comes with a matlab function and self-written versions. Hope you reference.)

Several case studies for biomaterials.Included heart valves, wound dressing, dental biomaterials and joint replacement.

数值计算，求解函数最优化的一个工具，是一个库函数，(Numerical calculation, to solve the function optimization of a tool, a library function,)