搜索资源列表
deconv
- 关于levin anat的几篇去模糊的文章，有对模糊核的详细介绍，代码可以在作者的博客中找到。-This paper derives a simple approximated MAPk algorithm which involves only a modest modifi cation of common MAPx,k algorithms. We show that MAPk can, in fact, be optimized easily, with no addit
Synchronization
- 定时同步的文章，很值得看一看，算法简单，精度很高！-Timing of the article, well worth a look, a simple algorithm, high precision!
Timing
- 定时误差估计，精度很高，算法简单易于实现，很值得参考！-Timing error estimates, precision is high, the algorithm simple and easy to implement, it is worth considering!
contentextractionviatagratios
- 网页信息抽取最新研究成果，基于文本标签比的抽取算法，该方法简单易实现-Web information extraction latest research results, based on the text labels than the extraction algorithm, the method is simple and easy to implement
CONVEX-HULL-OF-A-SIMPLE-POLYLINE
- 一种快速计算图形凸包的算法，算法比较简单，实现起来也很容易，有兴趣的可以参阅一下。-A fast algorithm to calculate the graphics convex hull algorithm is relatively simple, and is also very easy to implement, are interested can see what.
SVMkind
- 这是svm分类算法原理，内容简单，适合初学者，值得参考下载！-This is the principle of svm classification algorithm, the content is simple, suitable for beginners, and worth considering download!
CORDIC_Algorithms_and_architectures
- Digital signal processing (DSP) algorithms exhibit an increasing need for the e#cient implementation of complex arithmetic operations. The computation of trigonometric functions, coordinate transformations or rotations of complex valued phasors
Rule-based-classification-
- This paper presents a rule-based approach for the classification of power quality disturbances. The disturbed signal is first characterized using the multi-resolution S-transform, which acts as a feature extraction tool. Then, a simple but robust
TF-IDF-to-Determine-Word-Relevance
- Using TF-IDF to Determine Word Relevance in Document Queries : In this paper, we examine the results of applying Term Frequency Inverse Document Frequency (TF-IDF) to determine what words in a corpus of documents might be more favorable to us
Hyperspectral-Image-Classification-Through-Bilaye
- Hyperspectral image classification with limited number of labeled pixels is a challenging task. In this paper, we propose a bilayer graph-based learning framework to address this problem. For graph-based classification, how to establish the n
Pid-fuzzy-adaptive-algorithm
- 在工业控制中药式样很多自控，pid是一种很简单实用的算法，这里主要描述了自适应pid在工业控制中的应用-In a lot of self-control style of Chinese industrial control, pid is a very simple and practical algorithm described here mainly adaptive pid in Industrial Control
Apriori
- Apriori Algorithm Descr iption Simple Chinese Documents I hope everyone can refer to learn-Apriori Algorithm Descr iption Simple Chinese Documents I hope everyone can refer to learn
煤矿节能减排多目标优化研究
- 针对传统煤矿节能减排优化模型选取的目标函数比较单一的问题,构建了涵盖经济效益、能源消耗、污染物排放量等目标函数的煤矿节能减排多目标优化模型,并应用基于改进的蝙蝠算法寻找3个目标函数之间的优化解,实现了经济效益最大化、能源消耗最低化、污染物排放量最少化的优化结果。仿真结果表明,相比于PSO-E、NSGA-II算法,改进的蝙蝠算法能够在较短的迭代步数内获取较高的个体适应度,且能够实现较佳的多目标优化结果,符合节能规划的目标需求。(Aiming at the problem that the obje