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GOOGLEMAPXX1
googleMap截取，功能异常的强大，全自动抓取，自动聘图！(GoogleMap interception, dysfunction powerful, fully automated crawler to automatically engage Chart!)
- 2007-09-13 09:22:58下载
- 积分：1
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dsb-am
使用MATLAB对DSB-AM进行仿真：双边带幅度调制的过程以及对其中所包含的对信号的频谱分析都可以通过MATLAB中的M语句及相关函数来实现。假如信号m(t)=cos(m)以dsb-am方式调制载波c(t)=cos(20*pi*t),所的信号为y(t)，并将采样频率定为 fs=100Hz,则可在MATLAB中设计程序对该幅度调制的结果进行仿真，绘制已调信号波形和频谱分析。(It is a example for DSB-AM based on MATLAB .)
- 2009-05-02 23:18:59下载
- 积分：1
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FIR
基于MATLAB的FIR滤波器设计与滤波(MATLAB-based FIR filter design and filtering)
- 2009-05-19 15:28:35下载
- 积分：1
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New-folder1
MiMO radar performance
- 2014-09-30 19:25:13下载
- 积分：1
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Work-with-binary-file
Example of working with binary file
- 2014-12-04 05:22:47下载
- 积分：1
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segmentiris
Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse.
- 2011-11-18 01:57:19下载
- 积分：1
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293809067
MATLAB演示电磁波，可以显示电场和磁场分量(MATLAB demonstration of electromagnetic waves)
- 2009-12-07 22:08:09下载
- 积分：1
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houghyuan
利用霍夫变换的原理，能够实现二值空间的圆检测。获得预期的图像信息。(Using the principle of Hough transform, the value of space to achieve the second round test. Achieve the desired image information.)
- 2010-06-01 06:29:41下载
- 积分：1
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smith
利用smith圆图演示射频电路匹配过程，参数可调，界面良好。(Smith chart shows the use of RF matching process, adjustable parameters, the interface is good.)
- 2011-10-06 18:58:07下载
- 积分：1
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PPLapSVM
该代码是根据基于流行正则化和后验概率的分类模型而改写的，能够对复杂数据进行准确的分类。(The code is based on the popular regularization and posterior probability classification model and rewritten, able to accurately classify complex data.)
- 2015-03-21 17:57:11下载
- 积分：1
