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Okamura
- 该模型是基于实地测量的即以准平坦地形、大城市市区的中值场强或路径损耗作为参考，对其他传播环境和地形条件等因素分别以校正因子的形式进行修正，用来预测地面移动系统信号的强度。其频率适用范围是150MHz到1000MHz的UHF/VHF频带。目前使用的主要频段资源为800~900MHz。这一频段，在相对平坦区域，一般可应用Okumura-Hata传播模型。Hata提供了对这些数据的解析逼近，并捕捉到大部分的主要影响-The model is based on field measurements of
bp-extensions
- 利用belief propagation方法实现的模型优化和参数的估计-Ways to achieve the use of belief propagation model optimization and parameter estimation
edt-examples
- The ElastoDynamics Toolbox is a MATLAB toolbox to model wave propagation in layered media. It is based on the direct stiffness method and the thin layer method [10, 12]. The toolbox can be used to solve a variety of problems governed by wave
Anity-Propagation
- 关于最新ap算法的开创性重要文章,应用数据分类-Affi nity propagation (AP) was recently introduced as an unsupervised learning algorithm for exemplar-based clustering. We present a deriva- tion of AP that is much simpler than the original one and is based on a qu
A-Prediction-Methodology-of-Electrical-Tree-Propa
- In predicting electrical tree growth behavior of practical insulation materials under operating voltages, one must consider the effects of mechanical tensile residual stresses, electrical field stresses and the voids distribution to the electri
germ
- 细菌的繁殖模型，很好的体现的细菌的繁殖演变过程。有助于新手学习MATLAB-Model of the propagation of bacteria, well reflect the propagation of bacteria evolution. Help novices learn MATLAB
single-gaussian-background-model
- 单高斯模型是一种图像处理背景提取的处理方法，适用于背景单一不变的场合，其他如混合高斯模型等方法都是对单高斯模型的扩展，单以单高斯模型最为简便，而且采取参数迭代方式，不用每次都进行建模处理。-Single gaussian model is a kind of processing methods of background extraction, image processing is suitable for the single constant background, other meth
lab
- 计算水声传播衰减的模型运算，用来绘制水声传播衰减的图像-Calculation of underwater acoustic propagation attenuation model operation, used to draw images of underwater acoustic propagation attenuation
Untitled2
- BP神经网络基本原理概述：这种网络模型利用误差反向传播训练算法模型，能够很好地解决多层网络中隐含层神经元连接权值系数的学习问题，它的特点是信号前向传播、误差反向传播，简称BP（Back Propagation）神经网络。BP学习算法的基本原理是梯度最快下降法，即通过调整权值使网络总误差最小，在信号前向传播阶段，输入信号经输入层处理再经隐含层处理最后传向输出层处理；在误差反向传播阶段，将输出层输出的信号值与期望输出信号值比较得到误差，若误差较大则把误差信号传回隐含层直至输入层，在各层神经元中使用