shipinfenxi2

说明：  ofdm降低分均比的仿真，不吝指教，可能程序有疏漏之处，见谅

神经网络训练根据Kolmogorov定理，输入层有14个节点，所以中间层有29个节点 ％中间层神经元的传递函数为 tansig ％输出层有8个节点，其神经元传递函数为logsig ％训练函数采用traingdx(neural network training under the Kolmogorov theorem, input layer has 14 nodes, Therefore, the intermediate layer has 29% of nodes middle layer neurons in the transfer function for the output layer tansig% have eight nodes, its neuron transfer function for the training function logsig% used traingdx)

这是一个非常重要的而又简单的程序，是书上常用和数学建模的好帮手(great partner)

Neural network Perceptron For Xor classification

关于MATLAB图形用户界面(GUI)初学者指导教程系列，有较详细的说明和指导(On the MATLAB graphical user interface (GUI) Beginners Guide series, has a more detailed explanation and guidance)

反馈控制系统设计与分析(随书源程序，薛定宇)(The feedback control system design and analysis (with the book source code, Xue Dingyu))

This m-file implements a simple data acquisition gui with multiple channels and custom triggering It demonstrates how to: 1) Use nested functions to simplify data acquisition programs 2) Use a simple GUI (a couple of pushbuttons) to start and stop data acquisition. 3) Wait for an event/trigger (like a button press) and log pre-event or pre-trigger data from multiple synchronized channels. 4) Record pretrigger data based on custom criteria. In this m-file the triggering event is a button click. However, the event could be any custom criterion (e.g., the data amplitude is greater than a threshold *and* a toggle button is enabled). Requires: the Data Acquisition Toolbox (TM) and the Winsound adapter. It does not depend on any hardware-specific capabilities. (This m-file implements a simple data acquisition gui with multiple channels and custom triggering It demonstrates how to: 1) Use nested functions to simplify data acquisition programs 2) Use a simple GUI (a couple of pushbuttons) to start and stop data acquisition. 3) Wait for an event/trigger (like a button press) and log pre-event or pre-trigger data from multiple synchronized channels. 4) Record pretrigger data based on custom criteria. In this m-file the triggering event is a button click. However, the event could be any custom criterion (e.g., the data amplitude is greater than a threshold*and* a toggle button is enabled). Requires: the Data Acquisition Toolbox (TM) and the Winsound adapter. It does not depend on any hardware-specific capabilities. )

Another matlab routine for calculating the Fundamental Matrix.

在MATLAB环境下滤除噪声，并对声音进行分析和处理，(Filtering noise in the MATLAB environment, and sound analysis and processing,)

短时交通流预测是实现交通流诱导的关键技术之一。短时交通流因为其不确定性等特点而使其预测很复杂。本文通过实地调查获取的交通流量数据，分别采用移动平均法、指数平滑法、AR模型法三种交通流预测方法进行短时交通流量预测。(Traffic flow forecasting is one of the key technologies to achieve traffic induced. Traffic flow because the characteristics of its uncertainty and make it very complicated to predict. Traffic data presented herein obtained through field surveys were used moving average, exponential smoothing, AR model method in three short-term traffic flow forecasting method to predict traffic flow.)