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jisuangeidingxinyuandeshang
离散无记忆信源是一种最简单且最重要的信源，可以用完备的离散型概率空间来描述。本实验通过计算给定的信源的熵，加深对信源及其扩展信源的熵的概念的理解。(Discrete memoryless sources is one of the most simple and most important information source, can be used to describe a complete discrete probability space. In this study, by computing the entropy of a given source, to deepen understanding of the source and the expansion of the concept of entropy of the source.
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- 2012-04-07 12:48:10下载
- 积分：1
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drawROI2
draw region of interest
- 2010-10-05 15:27:26下载
- 积分：1
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mggg
避免资源死锁.doc避免资源死锁.doc(Avoid resource deadlock. Doc avoid resource deadlock. Doc)
- 2009-11-25 11:30:38下载
- 积分：1
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add2recgn
2nd one, this is the next file for code
- 2011-05-17 02:04:49下载
- 积分：1
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matlab-VRP
基于混合优化算法的车辆路径问题研究 matlab开发环境(matlab VPR Particle Swarm Optimization,PSO)
- 2011-05-24 13:58:26下载
- 积分：1
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cyclic_spectrum_estimation
循环谱估计，能画出２维图，也能在某特定循环频率下画出１维图(Cyclic spectrum estimation, can draw 2 d figure, also can draw slices under a cyclic frequency)
- 2016-06-29 20:22:37下载
- 积分：1
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BFSK
A detail Matlab simulation code example for BFSK performance
- 2008-05-21 16:13:56下载
- 积分：1
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robot_arm
, rebot Arm, rebot Arm
- 2012-03-26 12:01:35下载
- 积分：1
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linear-regression
该程序用一个实例进行演示线性回归方程的建立。(The procedures used to establish an instance demonstrates the linear regression equation.)
- 2013-11-29 22:28:20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
