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optical-prop.-of-ellipsoid
optical properties of nano metallic ellipsoid, with different incident angels
- 2011-10-01 17:51:30下载
- 积分:1
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shixianjuanjichuang
选择不同的两个函数做卷积运算,可供选择的函数有矩形窗函数,锯齿波函数和sinc函数,也可自行选择其他窗,观察选取函数的波形。(Choose a different function to do convolution function to choose a rectangular window function, ramp function and the sinc function, to choose the other window, observe the waveform of the selected function.)
- 2013-04-30 16:31:29下载
- 积分:1
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MATLAB_LMS2
自适应滤波器LMS算法的误差曲线和误差平方曲线,并在等高线上绘出LMS100次迭代的平均轨迹曲线,配合数字信号处理2课程的学习(LMS adaptive filter algorithm and error squared error curve curve and contour line drawing LMS100 iterations the average trajectory curve, with 2 digital signal processing courses)
- 2008-04-25 10:00:50下载
- 积分:1
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HitachiH48C3
说明: 加速度计的BS2源程序 简单易学 由parallax公司提供(The BS2 source programme of accelerator)
- 2011-03-10 20:54:55下载
- 积分:1
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c-junzhi
一个关于c均值的聚类源程序,在matlab下运行(one on the c-means clustering source, operating under the Matlab)
- 2007-03-18 09:16:19下载
- 积分:1
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invertedpendulum-lqr-pole
说明: 介绍了二级倒立摆的建模,并结合极点配置方法和LQR方法进行了仿真,有详细的过程。(Introduced the double inverted pendulum modeling, combined with pole placement method and LQR method of simulation, a detailed process.)
- 2008-11-05 20:42:18下载
- 积分:1
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watermark
文件夹LSB中是空域LSB算法程序,文件夹COX中是Cox算法主要程序,文件夹DCT中是频域加在中频的算法的程序。
步骤:把LSB,COX,DCT三个文件夹考在MATLAB目录下; 运行lsb_embed,programme,dct2_embed_mod即可。其中PSNR.m是计算峰值信噪比程序;attact.m & robust.m是攻击程序。(Content: folder LSB of spatial LSB algorithm program, folder COX Cox algorithm is the main program folder DCT frequency domain is added to the IF algorithm program. Steps: the LSB COX DCT three files folder test in the MATLAB directory run lsb_embed program, dct2_embed_mod can. The which PSNR.m calculate the peak signal to noise ratio procedures attact.m & robust.m exploit.)
- 2012-08-02 01:14:53下载
- 积分:1
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Untitled
通过c语言编程画出m序列的自相关及频谱图形,还包括扩频和解扩,(M squence can be described through C language )
- 2015-04-17 12:22:06下载
- 积分:1
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SSF_zikongjian
自己编写子空间拟合进行DOA估计,包括信号子空间拟合,噪声子空间拟合。malab程序,效果很好!( )
- 2012-04-08 13:08:09下载
- 积分:1
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tracking
Tracking of visual phenomena is hard. Very, very hard. And frustrating. You should try not to get discouraged by poor tracking results, but rather concentrate on the specific reasons why your tracker may not be performing well. Is the bad performance predictable from the theoretical properties of the tracker? If so, that s a valuable observation that will serve you well in the future
- 2013-07-24 12:49:21下载
- 积分:1