资源列表
fsk
- test m-file for fsk modulation
shenjingwangluo
- 这是我见过最好的神经网络仿真，附带说明文档，请各位指正。-This is the best I' ve seen the neural network simulation, with documentation, please correct me.
Matlab-gai
- 遗传算法的灾变算法，最小哈名距离的比较，希望对大家有用-Matlab zaibian
zhixinsuanfa
- 质心算法 基于MATLAB 毕设的源代码-Centroid algorithm is based on MATLAB
FastICA
- 这是关于ica的程序,希望对大家有用，谢谢，下次继续-This is ICA.
shudu
- 很经典的算法，利用深度搜索解决速度问题。-Classic algorithm, the speed advantage of the depth of search to solve the problem.
image
- 本文介绍了MATLAB 语言的特点以及图像处理工具箱实现的经典图像处理技术，应用该工具箱对一瓷碗图像进行经典图像处理,通过实例验证了该语言具有强大的图像处理能力。-image processing
work_MEA
- 文件中包含了杨大成《移动传播环境》中7.2.1.2小节的利用等面积法（MEA）实现经典功率谱的功率谱密度，自相关函数，自相关函数均方差。希望能帮助你们。-File contains POSTS " mobile communication environment" in section 7.2.1.2 the use of equal-area method (MEA) to achieve the classic power spectrum of the power spectral de
DijkStra
- 迪杰斯特拉算法的vc++6.0实现，算法实现了最短路径的寻找-Dijkstra algorithm vc++6.0 to achieve, the shortest path algorithm to find
fya
- 使用基于峭度的FASTICA盲分离算法，实现对四个亚高斯信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。-FASTICA kurtosis-based blind source separation algorithm, to achieve the separation of the four sub-Gaussian signals, and the separation results can be summarized from the blind separation alg
fchao
- 使用基于峭度的FASTICA盲分离算法，实现对两个超高斯信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。-FASTICA kurtosis-based blind source separation algorithm, to achieve the separation of the two super-Gaussian signals, and the separation results can be summarized from the blind separation al
fchaoya
- 使用基于峭度的FASTICA盲分离算法，实现对亚高斯信号和超高斯混合信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。-FASTICA kurtosis-based blind source separation algorithm to achieve sub-Gaussian and super-Gaussian mixed-signal separation, the separation results from the separation algorithm can be s