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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)

GMSK的matlab实现。在matlab环境下实现GMSK的调制与解调。(The matlab implementation of GMSK)

经典辨识方法————脉冲响应下的、差分方程法的便辨识(---- Classical identification method under the impulse response, then the differential equation method to identify)

用Matlab实现LMS算法 画出原始信号和处理后的信号进行对比(LMS algorithm using Matlab to draw to achieve the original signal and processed signal to compare)

说明：  人和座椅的汽车3自由度振动系统，simulink工程文件(And seat of the car-degree-of-freedom vibration system, simulink project file)

PROGRAM FOR UR USE

小波包分析提取振动信号中的特征频率，是路径规划的实用方法，计算多重分形非趋势波动分析。( Wavelet packet analysis to extract vibration signal characteristic frequency, Is a practical method of path planning, Calculate the multifractal trend fluctuation analysis.)

设雷达信号是码宽为0.5微妙，中心频率是10MHz的7为巴克码2PSK信号，接收的雷达回波中频采样频率为为40MHz，中频进行正交下变频。假设在13.5km处有一个点目标，仿真该雷达的脉冲压缩处理。 已通过测试。 (Let the radar signal is yards wide 0.5-subtle, the center frequency of the the Buck the code 2PSK signal, the received radar echo IF sampling frequency of 10MHz to 40MHz, IF quadrature down-conversion. Assuming the 13.5km at a point target simulation of the radar pulse compression processing. Has been tested.)

Audio Inpainting Toolbox By Valentin Emiya, INRIA, France Amir Adler, The Technion, Israel Maria Jafari, Queen Mary University of London, UK Contact: valentin.emiya@inria.fr ------------------------------------------------- Requirements The code has been developped in Matlab (R2010a). The CVX toolbox is required by solvers. Installation Just unpack the archive and ensure that you have CVX installed

matlab编程的短时傅里叶变换典型实例,供大家参考。(short-time Fourier transform matlab programming typical examples for your reference.)