资源列表
STL_doc
- STL_doc，讲述了c++中stl的使用，用法类似Java的jdk帮助文档，简单好用。-STL_doc, described stl c++ in the use of similar usage of the jdk Java help documentation, easy to use.
particleswarmoptimizationasedbehavioral
- 一篇优秀的博士论文,题目是 A particle swarm optimization based behavioral and probabilistic fire evacuation model incorporating fire hazards and human behaviors
idbm
- Descr iption Applies ideal binary mask to noise corrupted speech signal. The processing takes place within an FFT based short-time spectral analysis-modification-synthesis framework. The ideal binary mask is computed from an oracle (true) sign
SGI-STL-Help-Document
- SGI STL Help Document 学习C不可缺少的资料-SGI STL Help Document Learning C indispensable information
ofdm
- This matlab code calculates a bit error rate of OFDM system over a flequency-selective Rayleigh fading channel.
Acoustic-Matlab
- 声学 边界元程序 matlab-boundary element acoustics Fundamentals and coputer codes
01backpack
- 算法分析与设计中的01背包问题，采用合并排序方法。-《Algorithm analysis and design》 of the 01 knapsack problem, using merge sort method.
Code-Segmentation
- 基于WFCM的最优阈值图像分割 阈值化是图像分割中广泛应用的一种有效工具。基于类别可分性准则的Otsu法是性能良好且受到普遍欢迎的自动阈值选择方法。Otsu方法与c均值聚类算法的准则在一定条件下是等价的，而c均值聚类算法还可以快速实现分割问题。目前人们提出了很多基于c均值聚类准则的图像阈值化方法，其中模糊c均值（FCM）是最流行的算法之一。但是FCM算法没有考虑样本矢量间对聚类效果的不同影响，因而使用加权模糊c均值（WFCM）来解决这个问题。-Optimal threshold image se
manifold learning toolbox
- Some manifold learning algorithms,such as LTSA,LLE,Isomape
Dijkstra 算法
- Dijkstra 算法 c++
2452452
- 昂贵优化问题_多目标，新的研究领域，刚刚开始研究的一些好的资料共分享-Expensive multi-objective optimization problem _ the new field of study, research has just begun to share some good information on total
Machine_Learning
- 关于机器学习的matlab范例，最好多执行，尤其可以通过一段一段的执行脚本来更好地理解机器学习是如何处理经典问题的-MachineLearning.m is the main scr ipt that needs to be d. You can this scr ipt section-by-section. It demostrates the use of different machine learning techniques for a classification pr