资源列表
ica_cdma
- 程序对盲信号分离空时多用户检测器的仿真 但在程序中A用了随机矩阵，而没有用空时阵列中的阵列响应矩阵。-procedures for Blind Signal Separation space-time multi-user detector simulation of the proceedings with the A random matrix, but not with an empty array when the response matrix arrays.
yuans-jade
- This code is just a front-end to source separation algorithms.-This code is just a front-end to SEPA source ration algorithms.
bss_ydm
- 可以实现若干个函数输入混合后盲信号分离的fastica算法应用-can achieve a number of functions in the importation of a mixture of the Blind Signal Separation fastica algorithm application
twosignals
- Basic projection pursuit algorithm demonstrated on 2 sound signals。 include: atutorialintroduction.m efica.m state.m seed.m -Basic projection pursuit algorithm demon strated on two sound signals. Include : atutorialintroduction.m state.m
tuxingfenlifg
- 实现叠加后的盲图形信号分离算法，目前该算法分离效果能达到50％成功。-achieve superposition of Blind Signal Separation graphics algorithm, the algorithm separation effect can reach 50% success.
MyTCtrl
- 程序实现了模糊控制理论中恒温箱的模拟，根据《人工智能》中模糊控制理论实现的。-Program of fuzzy control theory incubator simulation, under the "artificial intelligence" fuzzy control theory to achieve.
dbacl.tar
- dbacl是一个通用目的的digramic贝叶斯文本分类器。它可以学习你提供的文本，接着用 学到的类别来比较新的输入。它可以用于垃圾邮件过滤，或在你自己的外壳脚本中使用。 -dbacl is a general-purpose text digramic Bayesian classifier. It can learn to provide you with the text, then uses learned relatively new type of input. It can be
lisys-0.1
- 基于人工免疫原理的入侵检测系统框架，有着很好的扩展性，由java 语言实现。-on the immune-based Intrusion Detection System Framework, the good scalability, java language.
FTKernelAPIBT
- FTKernelAPI BT协议内核库及示例源码。很好的学习资料。-FTKernelAPI BT agreement kernel libraries and sample source code. Good learning materials.
8sm
- 是个八数码问题的代码 基于A*算法,倒序将步骤写出-is eight digital code based on the A * algorithm, reverse steps to write
curecode
- CURE算法实现 一种分层次的聚类算法 效果较好-CURE algorithm to achieve a hierarchical clustering algorithm better results
DBSCANCode
- DBSCAN源代码,是一种典型的基于密度的聚类算法-DBSCAN source code, is a typical example of the density-based clustering algorithm