chapter4

说明：  小波图象去噪阈值的确定。呵呵，请大家指教阿(threshold determination. Oh, please enlighten A)

说明：  MFSK、OQPSK、MQAM、COFDM的simulink仿真(MFSK, OQPSK, MQAM, COFDM the simulink simulation)

this file contains basic amplify and forward technique with physical layer network concept

low pass filter for denoising ecg

混凝土框架弹塑性地震响应分析,采用三次三线性退化模型(seismic response of RC structure)

将求出的小规模的问题的解合并为一个更大规模的问题的解，自底向上逐步求出原来问题的解(The solution of a small scale problem is combined into a solution of a larger scale problem, and the solution of the original problem is gradually obtained from the bottom up)

带电圆环的电势分布图，利用matlab求解带电圆环的电势分布图(Charged electric potential distribution ring)

c编程实现删除IE历史记录代码c programming code to delete IE history(c programming code to delete IE history)

Finding the Peaks in ECG and PPG using the turning point algorithm

Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)