-
canny1
canny算法的matlab实现，可以放到图像处理算法中得到更好的结果(canny algorithm matlab to achieve, you can put image processing algorithms get better results)
- 2008-01-28 13:54:42下载
- 积分：1
-
BER-computing-(QAMPPAPAWGN)
Connection system (QAM, PA, AWGN). Demodulation with BER computing.
- 2013-07-11 12:23:20下载
- 积分：1
-
node-Animation
MATLAB wireless sensor networks node Animation
- 2011-05-17 11:45:03下载
- 积分：1
-
Crtanje-dijagrama-zracenja
simulations of adaptive algoritams and dravinsgs of sine wave for those alkgorithms
- 2013-03-18 05:41:57下载
- 积分：1
-
MyLMS_LSL
本文件是比较LMS与LSL滤波器的参数的收敛速度(this document is compared with the LMS LSL filter parameters of the convergence rate)
- 2007-01-27 14:53:19下载
- 积分：1
-
RTWIN_examples
利用matlab的simulink，如代码中所示的图形(Using matlab to simulink, as shown in the graphic code)
- 2009-12-17 20:48:59下载
- 积分：1
-
SAR_chegnxiang
synthetic aperture radar signal processing with matlab algorithms
英文书的附带源代码，书是全英文的，作者是Mehrdad Soumekh。我没有电子书，只有复印的。
此成像算法包括一维距离像、条带式、聚束式等多种模式的SAR成像。可以作为有一定SAR基础的同行的编程参考。
友情提供(synthetic aperture radar signal processing with matlab algorithms English books with source code, book is in English, the author is Mehrdad Soumekh. I do not have e-books, only a photocopy was made. The imaging algorithm includes a one-dimensional range profile, band type, spotlight SAR imaging a variety of modes. SAR can be used as the basis of a certain peer programming reference. Friendly offer)
- 2021-04-22 16:48:49下载
- 积分：1
-
a
说明： 处理蠓虫分类的另一种网络方法，方法仅供参考(Another network approach to classification midges)
- 2014-09-14 17:33:36下载
- 积分：1
-
TractionBraking-Force-Distribution-for-Optimal-Lo
The optimal tire force distribution to maximize acceleration/deceleration
of a four-wheel vehicle during cornering is studied
- 2013-10-01 04:10:32下载
- 积分：1
-
2dgaussian210
2维曲面拟合，gauss or gabor 函数(Functions to fit a 2D Gaussian or 2D Gabor to a surface. The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. This is done by evaluating the quality of fit (sum of squared error) for many different choices of parameters then refining the most promising set of params through least-squares (exhaustive search followed by refinement). Least-squares is statistically equivalent to maximum likelihood estimation of the model parameters on the assumption of independent, normally distributed Gaussian noise in the observations (pixels).
autoGaussianSurf(xi,yi,zi) fits a Gaussian,)
- 2012-08-15 12:59:33下载
- 积分：1
