搜索资源列表
SMMA_8psk
- 盲均衡中的切片多模算法用于抽样判决后的多径效应均衡，显著降低误码率-Multipath equalization Blind equalization algorithm for multi-mode slice sample post-judgment, significantly reduce the error rate
SMMA_64QAM
- 64QAM盲均衡中的切片多模算法用于抽样判决后的多径效应均衡，显著降低误码-Multipath equalization 64QAM blind equalization algorithms for multimode slice sample post-judgment, significantly reduce the error rate
SMMA_256QAM
- 256QAM盲均衡中的切片多模算法用于抽样判决后的多径效应均衡，显著降低误码率-Multipath equalization 256QAM blind equalization algorithms for multimode slice sample post-judgment, significantly reduce the error rate
meunier08age
- 人脑功能网络。利用小波相关，发现年轻被试和老年被试都具有显著优于随机网络的模块性,但随着年龄老化, 脑功能网络模块化结构和各模块内节点地位会逐渐发生变化-Age-related changes in modular organization of human brain functional networks ARTICLE in NEUROIMAGE · DECEMBER 2008 Impact Factor: 6.36 · DOI: 10.1016/j.neuroimage.20
one-way-ANOVA
- 单因素方差分析求解及作图，包括分析均值、方差以及显著性等-ANOVA solving and mapping, including an analysis of the mean, variance and significance, etc.
normal
- 在给定的显著性水平下，判断数据是否是正态分布的MATLAB实现-At a given level of significance, it is determined whether the data are normally distributed MATLAB realization
Cluster_DBSCAN
- DBSCAN（Density-Based Spatial Clustering of Applications with Noise，具有噪声的基于密度的聚类方法）是一种基于密度的空间聚类算法。该算法将具有足够密度的区域划分为簇，并在具有噪声的空间数据库中发现任意形状的簇，它将簇定义为密度相连的点的最大集合。 该算法利用基于密度的聚类的概念，即要求聚类空间中的一定区域内所包含对象（点或其他空间对象）的数目不小于某一给定阈值。DBSCAN算法的显著优点是聚类速度快且能够有效处理噪声点和发
An-Improved-A--Star-Algorithm
- （被EI收录，不错的文章）传统A*算法在栅格地图上进行路径规划时，求解得到的路径长度不是最短并且转折点较多。针对这些不足，提出了一种改进A*算法，将传统A*算法的可搜索邻域个数从离散的8个拓展为无限个，可以沿任意方向进行搜索。这样不仅求解出来的路径长度更短，并且大大降低了其转折点的个数。该算法被应用于自主研发的“智能先锋”号系列无人驾驶车辆上，实车试验以及它们在“中国智能车未来挑战赛”中的优异表现证明该方法能够在栅格地图中求解出一条更优的可行驶路径，可以显著提升无人驾驶车辆行驶的效率和平稳性。-
Adaboost
- 用于分类，二类甚至多类。AdaBoost是Boosting的提升，功能非常的显著-For classification, Class II even more. Boosting AdaBoost is lift, which is very significant
NIPS
- 对图像进行ICL显著性检测后得到显著性图，充分将图像里的显著部分提取出来，利于人眼观测识别-ICL was obtained after the detection of image saliency map, will be full of a significant portion of image in the extract, conducive to the human eye observation and identification
Tseries
- 对于时间序列，计算其t检验统计序列的子函数，能够用于检验序列的统计显著性-The t test statistical calculation of time sequence, sequence of sub function, can be used for testing the statistical significance of the sequence
wavlet-pitch-dection
- 算法是在MATLAB环境下编译的，其实现的功能主要是采用小波包BARK域中子带方差法来实现端点检测，实验结果表明在高信噪比情况下效果显著-Algorithm is compiled in MATLAB environment, and its main function is implemented using wavelet packet BARK sub-band variance jurisdictions to implement endpoint detection, experime
20130312_215449
- Jinjian Wua的非局部的空间冗余降低自底向上显著性估计-Non-Local Spatial Redundancy Reduction for Bottom-Up Saliency Estimation
SR
- 07年CVPR的论文，实现了一个基于频率分析的显著区域检测模型，它只需要5个matlab公式就可以得到想要的结果，也没有很复杂的公式变换，都是图像处理基本的变换公式-2007 CVPR paper implements a frequency-based analysis of the salient region detection model, it only needs 5 matlab formulas you can get the results you want, nor very
Multi---objective-PSO
- 基于粒子群算法的多目标优化算法，结构简单，优化效果显著，用于多目标同时优化-Multi-objective particle swarm optimization algorithm, simple structure, optimize the effect is significant, for multi-objective optimization simultaneously
MPGA
- 多种群遗传算法，对遗传算法进行了扩展，对抑制未成熟收敛的大神有显著效果-Multi-population genetic algorithm, the genetic algorithm has been extended to inhibit the premature convergence of the Great God have a significant effect
nnmfcc1
- 不消除静音段,即不通过端点检测,方便说话人识别之后调整语音流的特征显著图.- 37/5000 Bù xiāochú jìngyīn duàn, jí bù tōngguò duāndiǎn jiǎncè, fāngbiàn shuōhuà rén shìbié zhīhòu tiáozhěng yǔyīn liú de tèzhēng xiǎnzhù tú. Does not eliminate the silent section, that is, through the end
AIM
- 参照psychophysicsexample.m写了一个main函数，调用AIM.m 直接运行main函数就可以了 显著性模型-Saliency based on information maximization
SUN
- 基于贝叶斯框架的显著性检测 saliencyimage.msaliencyimage_convolution.m作用一样，运行结果差不多，saliencyimage_convolution.m 处理大图像时用它，比较节省内存空间。-A bayesian framework for saliency using
GB_ITTI
- GBVS显著性 直接运行mean_Itti.m 直接运行mean_gbvs.m-Graph-Based Visual Saliency