-
C231_C04
Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB
- 2007-07-31 12:40:41下载
- 积分:1
-
2
说明: 例题全部代码. 薛定宇, 陈阳泉. 高等应用数学问题的Matlab求解.(All the code examples. Xue Dingyu, Chen Yangquan. MATLAB to solve higher applied mathematical problems.)
- 2011-04-29 10:11:22下载
- 积分:1
-
UniquePureNashEquilibria
求解game纯策略,matlab例程,希望对大家有用(Unique Pure Nash Equilibria)
- 2010-05-31 14:26:51下载
- 积分:1
-
tsbbpso
粒子群改进算法,有助于学生学习,可以在此基础上改进(Improved particle swarm algorithm to help students to learn, you can improve on this basis)
- 2011-10-16 09:58:17下载
- 积分:1
-
matlabprogram
有关matlab语言编写的图形图像处理的基本程序,适合入门者学习参考!(On the matlab graphics languages the basic image processing procedures, suitable for beginners to learn the reference!)
- 2007-10-11 00:57:24下载
- 积分:1
-
exponential
An exponential distribution random number generator.
- 2010-11-15 01:04:56下载
- 积分:1
-
SKMsmo
基于核的学习方法SVM(Support Vector Machine)有很好的分类识别性能,这是在SVM的基础上改进的一个更好的SKM(Support Kernel Machine)Package.(kernel-based learning methods SVM (Support Vector Machine) are good the classification performance, This is the SVM improved on the basis of a better SKM (Support Kernel Machi ne) Package.)
- 2020-09-25 14:37:47下载
- 积分:1
-
lsb
用matlab实现的基于LSB的数字水印算法。算法可以在BMP灰度图像中嵌入水印,水印信息为二值图像,并将其扩展到与原始图像同样大小,进行重复嵌入,提高鲁棒性。同时算法中给出了PSNR值以评价水印图像的效果,(Using matlab realize the number of LSB-based watermarking algorithm. Algorithm can be embedded BMP gray image watermark, watermark information for the binary image, and its expansion to the original image the same size, the repetition of embedding, improve robustness. At the same time algorithm PSNR values are given to evaluate the effect of watermark images,)
- 2007-09-30 18:55:44下载
- 积分:1
-
Simulink2
说明: 续SIMULINK,很实用的一本书,搭建模型介绍详细,多多学习(Continued SIMULINK, very practical book, build model introduced in detail, a lot of learning)
- 2011-03-14 09:34:13下载
- 积分:1
-
CS_OMP
压缩感知方法演示,1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit)
测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构(1-D signal is compressed sensing to achieve (orthogonal matching pursuit method Orthogonal Matching Pursuit) number of measurements M> = K* log (N/K), K is the sparsity, N signal length, can be almost completely reconstructed)
- 2011-11-23 21:03:22下载
- 积分:1