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TSP
解决背包问题 自动求解最大价值 利益最大化问题(Automatically solve the Knapsack Problem to maximize the interests of maximizing the value of solving the problem)
- 2009-04-20 23:24:10下载
- 积分:1
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SimulationsforRadarSystem
雷达系统仿真的书和程序,对于写论文很有帮助的。特别是程序很有参考价值(Radar system simulation of books and procedures for writing papers helpful. Program was useful in particular)
- 2010-11-15 09:39:13下载
- 积分:1
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BSS_matlab
盲信号分离的matlab程序,很好很实用,你值得拥有!(This program is made by Matlab 7.0.It is very good.you can prosess it )
- 2009-12-14 13:37:09下载
- 积分:1
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systemident
系统辨识算法matlab 自动提供输入输出功能
自动辨识(system identification algorithm for automatic Matlab functions of the input and output automatic identification)
- 2006-11-26 14:20:38下载
- 积分:1
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MATLAB_Device_Blocks_DS-51771E
user_manual for matlab simulink toolbox dsPIC microcontrollers
- 2013-03-27 13:09:28下载
- 积分:1
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DV-hop
在无线传感器网络中 DV HOP定位算法 DV-distance 算法代码正在编写中( DV-HOP)
- 2011-12-20 16:14:09下载
- 积分:1
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Attachments_20131017
DIFFERENT ARTICLES , USEFUL FOR ELECTRICAL ENGINEERING , ECONOMIC DISPATCH
- 2013-12-22 16:18:13下载
- 积分:1
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FluidFlowinMicroand
Fluid Flow in Micron and Submicron Size Channels
- 2009-05-21 18:38:54下载
- 积分:1
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NMFLABSP_ver1.2
盲源分离算法中,另一新的理论,非负矩阵分解(NMF)。数据包中有代码及GUI(Blind source separation algorithm, another new theory, non-negative matrix factorization (NMF). Packet has the code and GUI)
- 2009-12-17 09:08:51下载
- 积分:1
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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