BP_network

matlab动量梯度下降算法 生成一个新的前向神经网络 对BP神经网络进行训练 对BP神经网络进行仿真(Momentum matlab gradient descent algorithm to generate a new feed-forward neural networks trained BP neural network on the BP neural network simulation)

用支持向量机SVM对经提取得到的信号特征参数进行信号的模式识别。(Support Vector Machines SVM right after the signal characteristic parameters were extracted for signal pattern recognition.)

将OFDM技术运用在可见光通信的研究，并且把OFDM的高峰均比这一缺点进行了建设性的运用。(In particular, the use of OFDM (orthogonal frequency division multiplexing) for intensity modulation is investigated. The high peak-to-average ratio (PAR) in OFDM is usually considered a disadvantage in radio frequency transmission systems due to non-linearities of the power amplifier. It is demonstrated theoretically and by means of an experimental system that the high PAR in OFDM can be exploited constructively in visible light communication to intensity modulate LEDs. It is shown that the theoretical and the experimental results match very closely, and that it is possible to cover a distance of up to one meter using a single LED.)

有关车辆网的连接性的文档，其中包括车辆网的MATLAB仿真模型及结果(An efficient routing protocol for connecting vehicular networks)

批量读写配置文件 　本例程使用复制组件，复制所需要的窗口组件，并且配合组件的 标记、取标记组件、取事件组件，让组件互相关联互动。这样做的好 处是：设计时窗口组件很少，节省设计时间，节约空间，便于代码的 后期升级维护。(Read and write configuration files in batches)

用来实现matlab的BP算法，以齿轮箱故障诊断为例(Matlab used for the BP algorithm to fault diagnosis of gearbox as an example)

相控阵系统学习，包含线阵和矩形面阵的仿真，非常有参考价值。(Simulation learning of Phased array system learning,includeing linear and rectangular array，which is very valuable.)

MeanShift 代码的matlab实现(The implementation of mean shift by matlab)

MIMO-OFDM Wireless Communications with MATLAB 电子书，书中含详细说明以及源码(MIMO-OFDM Wireless Communications with MATLAB)

灰色系统理论是研究解决灰色系统分析、建模、 预测、决策和控制的理论.灰色预测是对灰色系统 所做的预测.目前常用的一些预测方法（如回归分 析等），需要较大的样本.若样本较小，常造成较 大误差，使预测目标失效.灰色预测模型所需建模 信息少，运算方便，建模精度高，在各种预测领 域都有着广泛的应用，是处理小样本预测问题的 有效工具(Grey system theory is the research and solution of grey system analysis, modeling, The theory of prediction, decision - making and control At present, some commonly used prediction methods (such as regression score) If the sample size is small, it often results in a comparison Large error, so that the prediction of the target failure Less information, convenient operation, high modeling accuracy, in a variety of prediction collar Fields are widely used to deal with small sample prediction problems Effective tool)