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my_particlefiltering
对运动声目标进行航迹跟踪，并通过粒子滤波去除航迹估计值的噪声成份。(Sports sound track to track targets and, through the particle filter to remove the estimated value of track noise component.)
- 2007-08-07 09:08:20下载
- 积分：1
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heat
说明： 换热器模型的MATLAB实现，可用于工程计算，还可以用于教学演示(exchanger MATLAB model can be used for engineering calculations, can also be used for teaching demonstration)
- 2005-11-07 16:16:12下载
- 积分：1
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DBSCAN
BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".
- 2011-04-20 15:56:43下载
- 积分：1
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FDTD-Method-for-Electromagnetics
利用matlab编写程序，通过时域有限差分方法进行电磁场的数值模拟(Use matlab, numerical simulation of electromagnetic fields by the finite difference time domain method)
- 2012-07-06 16:07:39下载
- 积分：1
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MGDE
这是一个改进的查分进化算法，相应的论文为：An improved differential evolution with novel mutation strategy. 发表在IEEE 2014 Symposium on differential evolution (SDE)(This is an improved differential evolution. The corresponding paper is:An improved differential evolution with novel mutation strategy. On IEEE 2014 Symposium on differential evolution (SDE))
- 2015-03-13 11:15:52下载
- 积分：1
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simulation-model
异步电机的各种仿真模型，包括定子磁链模型、转子磁链模型，力矩计算模型等(simulation model of asynchronous machine)
- 2015-06-29 12:27:47下载
- 积分：1
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ACF
ACF中包含两个m文件，一个是自协方差函数（可单独使用）。另一个是自相关函数计算，其调用autocov函数。(ACF contains two m files, one is self-covariance function (which can be used alone). The other is calculated from the correlation function, which calls autocov function.)
- 2010-11-10 09:41:01下载
- 积分：1
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bootgmregress
自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。
在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。
二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。
BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods.
Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs.
Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)
- 2011-05-21 13:19:38下载
- 积分：1
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DSSS
完成DSSS调制解调功能 mode[1，2] 1进行调制，2进行解调，未指定时自动完成这两个功能(Completion of DSSS modulation and demodulation functionality mode [1,2] 1 modulation, 2 to carry out demodulation, when the auto-complete does not specify that these two functions)
- 2007-08-07 10:41:01下载
- 积分：1
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RSSI
基于RSSI的定位，已知发射节点的发射信号强度, 接收节点根据接收信号的强度, 计算出传播损耗, 利用理论的或经验的信号传播模型将传播损耗转化为距离, 然后再计算出节点的位置(RSSI-based positioning, known to launch the node transmission signal strength, the receiving node according to received signal strength, transmission loss calculated using the theory or experience loss of signal propagation model will spread into the distance and then calculate the location of the node)
- 2021-02-23 17:39:40下载
- 积分：1
