-
incremental
Gert Cauwenberghs写的一个增量型支持向量机,非常有用的(Gert Cauwenberghs wrote a incremental support vector machive. It is very useful for learning about it.)
- 2010-10-02 16:56:21下载
- 积分:1
-
MATLAB-SRS3D-hrtf
一个使用MATLAB实现基于HRTF理论下的SRS-3D立体虚拟环绕声技术的硕士论文(A use MATLAB HRTF theory based on the SRS-3 D virtual surround sound technical master thesis
)
- 2012-04-10 15:12:10下载
- 积分:1
-
Genetic_Algorithm
this is genetic algorithm source code for twolink flex manipulator
- 2010-11-30 23:56:00下载
- 积分:1
-
PowerFlow
说明: 电力系统潮流计算程序主程序,还有功能子程序(power float)
- 2011-04-07 20:50:39下载
- 积分:1
-
backprop
back prooagation neural networks
- 2011-08-31 20:49:00下载
- 积分:1
-
Arman
compare Knn Modified IFS
- 2014-11-25 18:00:54下载
- 积分:1
-
ID3DecisionTree
原为某课大作业,改进的决策树函数,使用matlab对ID3决策树算法进行了重现。支持树的建立,打印和使用。附带部分注解(A rewrite of decision tree in matlab.)
- 2014-12-02 15:45:44下载
- 积分:1
-
leidamubiaoshibie
雷达目标识别技术(刘宏伟).pdf 雷达目标识别技术(刘宏伟).rar(Radar Target Recognition (Hongwei). Pdf radar target recognition (Hongwei). Rar)
- 2011-11-17 12:39:32下载
- 积分:1
-
angleanddelayoftime
Angle and delay joint estimation (JADE) algorithm based on MATLAB program
- 2015-01-08 14:20:27下载
- 积分:1
-
Body-Area-Networks
一个身体部位比较模型的新方法网络(BAN)的,可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏,通过基于参数化到每个活动,每个学科和每个环节模型。使用错误,并明确之间权衡复杂性,在一个善良的适应措施相结合,显示有重要的影响时,适用于一系列典型的禁止通道数据。它是有不同的
在模式的选择的影响,以及它相关的复杂性,混合活动的“日常”的数据,设置活动相比,动态数据(例如步行)。平均路径损耗的不足,甚至位数的路径损失的措施,作为唯一的表征还强调“禁止通道。
(A new approach to compare models for body area
networks (BAN) that accommodates multiple links and multiple
subjects is presented. The absolute measure described allows
comparison across a spectrum of possible characterizations
ranging from single-parameter for an entire ensemble, through
to per-activity, per-subject and per-link based parameterized
models. The use of an explicit trade-off between error and
complexity, combined in a goodness-of-fit measure, is shown
to have important consequences when applied to a range of
typical BAN channel data. It is shown that there are different
implications in choice of model, and it’s associated complexity, for
mixed-activity “everyday” data, when compared with set-activity
dynamic data (e.g. walking). The deficiency of mean path loss,
or even median path loss measures, as a sole characterization of
the BAN channel is also highlighted.)
- 2011-12-01 21:21:32下载
- 积分:1