mmagcmma

手机定位中基于TDOA技术的多种算法的性能比较仿真(TDOA mobile location technology based on performance comparison of a variety of simulation algorithms)

cell coordinates for algebraic reconstruction techniques algorithm

经典的双边滤波器，去噪能力很强，很值得一用。(Classic bilateral filter, denoising ability, it is worth using.)

简单的 knn 文本算法 ，用于中文文本分类，比较方便的方法！(Simple text knn algorithm for Chinese text classification, more convenient way!)

本例研究利用Matlab工具箱的BP网络仿真某系统故障的预测,假设3个故障的样本分别为(1 1 0), (0 1 1)(1 0 1), 3个故障分别编码为(1 0), (0 1), (1 1),下面利用BP工具函数设计网络,用自适应学习率算法进行BP的设计、训练和仿真。(cases using the Matlab toolbox BP network simulation of a system fault forecast Assuming three fault samples were (1 1 0), (0 1 1) (1 0 1) three failures were coded as (1 0), (0), (1), below BP network design tool function, Adaptive learning rate BP algorithm design, simulation and training.)

This implements Lie-derivative based complete observability analysis for relative localization using equabilent relative measurement model.

时域上，用快拍延迟做的宽带的波束形成。五个阵元，三个延迟线。(wideband beanforming)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

说明：  LTE天线模型仿真 LTE_System_Level_1.0_r247 2010最新(LTE--channel_gain_wrappers FROM LTE_System_Level_1.0_r247)

Steepest Descent matlab code