MATLAB

使用此函数来提取一个地理坐标输入字符串了。该功能非常灵活，因此，协调可能位于任何地方的字符串，并可能有许多的格式之一。 例子： txt2coord（ 100 ° 7 30“宽 ） txt2coord（ 100 ° 7 30 w 的） txt2coord（ -100 ° 7 30“ ） txt2coord（ 100 ° 75 w 的） txt2coord（ 100 .125 °以西 ） txt2coord（ 喇嘛100 °，7分钟 30 S喇嘛 ） txt2coord（{ 100 .125 ° w 的 -100.125 ° }） 所有指定的例子得出正确的结果（-100.125）。 我已经成功测试了多种不同的投入这一点。然而，正则表达式，这是在该文件中使用广泛，...嗯...他们有时有一个有趣的方式展示你，你没有带他们出去尚未完全想通。因此，我强烈建议你使用它之前的一些performe此功能完整性检查和将不胜感激，如果你向我报告任何错误。 (Use this function to extract one geographical coordinate out of an input string. The function is extremely flexible, thus the coordinate may be located anywhere in the string and may have one of many formats. Examples: txt2coord( 100° 7 30" W ) txt2coord( 100° 7´ 30´ ´ W ) txt2coord( -100° 7` 30" ) txt2coord( 100° 7.5 W ) txt2coord( 100.125° west ) txt2coord( bla 100°, 7min 30´ ´ S bla ) txt2coord({ 100.125° W -100.125° }) All specified examples yield the correct result (-100.125). I have successfully tested this with various inputs. Yet, regular expressions, which are extensively used in this file, ... well ... they sometimes have a funny way of showing you that you havn t quite figured them out yet. Therefore, I would strongly advice you to performe some sanity-check on this function before using it and would be greatful, if you report any bugs to me. )

OFDM 链路的MATLAB仿真，其中使用LDPC编码，具有参考价值(Matalab simulation of OFDM system while using LDPC as channel coding)

Reduce PAPR method OFDM

一维小波包在matlab分解六层分解，与重构，可得高低频。与原高低频对比。( One dimensional wavelet packet decomposition in the MATLAB decomposition of the six layer, and the reconstruction can be HISTEP low frequency. Contrast with the original high and low frequency. )

数字水印在linux下面运行的代码，内有详细的注释说名(a watermarking program which can run under Linux. Attached with clear instructions.)

具有不完全微分的PID控制方法，可以根据M参数的选择查看演示效果（M=1为不完全微分PID的效果）。(With incomplete derivative PID control method, according to the choice of M parameters to view your presentation (M = 1 is the effect of incomplete differential PID).)

modulation PCM with matlab

上述程序是美国RICE大学的一个学生编写的用于压缩感知的恢复算法，可以实现很多模型的稀疏恢复，包括BP，l1,l2,l1-l2混合型等比较多的类型(The above procedure is a student of the University of the United States RICE prepared for compressed sensing recovery algorithm can achieve a lot of model sparse recovery, including BP, l1, l2, l1-l2 hybrid more types)

非线性的降维算法的工具箱，如PCA、 classical scaling等。(Dimensionality Reduction toolbox)

用0－1test方法检测混沌的程序，程序完整，运行良好。(0－1Test)