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rls1
RLS,Demonstration of Wiener filter,LMS filter,Steep-descent algorithm
(RLS, Demonstration of Wiener filter, LMS filter, Steep-descent algorithm)
- 2008-04-17 16:15:08下载
- 积分：1
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Mesh2d-v24
Mesh generation is one of the most critical aspects of engineering simulation. Too many cells may result in long solver runs, and too few may lead to inaccurate results. ANSYS Meshing technology provides a means to balance these requirements and obtain the right mesh for each simulation in the most automated way possible. ANSYS Meshing technology has been built on the strengths of stand-alone, class-leading meshing tools. The strongest aspects of these separate tools have been brought together in a single environment to produce some of the most powerful meshing available.
- 2015-02-09 01:59:33下载
- 积分：1
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LZ-gai
LZ编码MATLAB算法,并且包含含有性能分析(the LZ coding of matlab，With performance analysis and includes)
- 2011-12-29 21:27:41下载
- 积分：1
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ga_annlongchuan
遗传算法优化下的神经网络模型，可以用于径流预测(ga ann)
- 2015-03-31 16:45:32下载
- 积分：1
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NSGA2车间调度算法
说明： 用NSGA2解决车间任务调度，在MATLAB环境下实现，并且画出任务序列的甘特图(NSGA2 is used to solve the task scheduling in workshop, which is realized in Matlab environment, and the Gantt chart of task sequence is drawn)
- 2021-02-20 02:39:44下载
- 积分：1
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PID
说明： PID轨迹跟踪控制+PID专家系统轨迹跟踪控制(PID track control + PID expert system track control)
- 2021-04-20 15:18:51下载
- 积分：1
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chengxu
说明： 用matlab来实现对图像进行直方图处理的源程序。(Using matlab to achieve the image histogram processing of the source.)
- 2010-04-29 09:08:34下载
- 积分：1
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atividade1
Crossover fron generic algorithm, matlab
- 2013-07-30 23:41:03下载
- 积分：1
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COOPERATIVE-MIMO
This code is useful for multi user mimo systems
- 2011-09-22 13:50:29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
