dd_tools_1_6_3

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. )

image rotate using hough transform to detect the edge of image.

检验Rossler混沌系统在有限时间内具有鲁棒性(Inspection Rossler chaotic system in the limited time robust)

Cognitive radio all the IEEE papers

本论文以5位barker码为例主要讲了医学成像中编码激励技术的意义(5 barker)

关于MIMO天线的matlab仿真，有代码和仿真结果图(Matlab simulation on MIMO antenna with code and the simulation results)

matlab，数字水印，信息隐写，适合毕业设计(Matlab, the digital watermark)

数字波束形成，阵列信号，里面包含了经典DBF算法和基于FFT多波束形成算法，适合初学者，自己编的(Digital beamforming, array signal, suitable for beginners, own)

n阶矩阵A的QR分解MATLAB代码n阶矩阵A的QR分解MATLAB代码n阶矩阵A的QR分解MATLAB代码n阶矩阵A的QR分解MATLAB代码(A=QR matlab A=QR matlabA=QR A=QR matlabmatlabA=QR matlabA=QR matlabA=QR matlabA=QR matlab)

Abstract—A novel algorithm to remove rain or snow streaks a video sequence using temporal correlation and low-rank matrix completion is proposed in this paper. Based on the observation that rain streaks are too small and move too fast to affect the optical flow estimation between consecutive frames, we obtain an initial rain map by subtracting temporally warped frames a current frame. Then, we decompose the initial rain map into basis vectors based on the sparse representation, and classify those basis vectors into rain streak ones and outliers with a support vector machine. We then refine the rain map by excluding the outliers. Finally, we remove the detected rain streaks by employing a low-rank matrix completion technique. Furthermore, we extend the proposed algorithm to stereo video deraining. Experimental results demonstrate that the proposed algorithm detects and removes rain or snow streaks efficiently, outperforming conventional algorithms.