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SAR_point_simulate
SAR的点目标仿真，matlab开发，程序思路清晰，通俗易懂(SAR point target simulation, matlab development, program ideas clear, easy to understand)
- 2010-09-26 22:01:20下载
- 积分：1
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RickerWaveletsSpectrum
产生一个雷克子波组的时域和频谱特征，用以演示雷克子波的时域和频域特征。(Generated the Ricker wavelets of time domain and spectral characteristics, to demonstrate the Ricker wavelets time domain and frequency domain characteristics.)
- 2012-03-28 22:23:27下载
- 积分：1
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BE356Matlab_Ex04_Ex05_Ex06
unit root test!!!!!!!!!!!!!!!!!!!!!including kinds of toolbox
- 2013-11-20 20:58:00下载
- 积分：1
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mexhandle
地图构建算法，对于想学地图构建的matlab方法实现的人可以来看一看，一定会有帮助的(Map construction algorithm, to those who want to learn map construction of matlab Method man can see, will help)
- 2011-12-27 22:13:01下载
- 积分：1
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guangdaizhongxintiqu
用于自动批量提取不同图像坐标位置的激光光带图像的中心，并将批量处理结果依次显示在一张输出图像中，输入为批量的激光光带图像，输出为激光中心坐标并做图显示(Different images for automatic batch extraction center coordinate positions with images of laser light, and the batch processing results in order to display the image in an output, the input for the bulk of the laser light with the image coordinates of the center and the laser output is done diagram shows)
- 2014-01-02 17:37:00下载
- 积分：1
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经验小波变换结合EMD的自适应性和小波分析的理论框架 EWT
经验小波变换结合EMD的自适应性和小波分析的理论框架,Gilles提出了一种称为经验小波变换(EWT)的自适应信号处理方法.其核心思想是通过对信号的Fourier谱进行自适应划分,建立合适的小波滤波器组来提取信号不同的AM-FM成分.(Empirical wavelet transform)
- 2017-03-05 17:50:24下载
- 积分：1
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Verilog16
16位加法器，需要的拿去，经仿真试验成功的(16-bit adder is needed instead, after a successful simulation test)
- 2007-11-06 00:04:04下载
- 积分：1
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pluggingofDCmotor
plugging a dc motor using simulink file
- 2011-05-28 18:06:17下载
- 积分：1
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MATLAB-getrect
matlab 鼠标从一幅图像中截取一个区域，并生成一幅图片(get a picture form a picture)
- 2013-11-27 16:13:19下载
- 积分：1
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otsu
OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.
9:62-66 1979). Thresholds are computed to maximize a separability
criterion of the resultant classes in gray levels.
OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the
corresponding Iseg is therefore a binary image. The pixel values for
Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...
[Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability
criterion within the range [0 1]. Zero is obtained only with images
having less than n gray level, whereas one (optimal value) is obtained
only with n-valued images.
- 2009-03-17 17:57:51下载
- 积分：1
