The_programe_of_Susan_C_Hagness

Matlab遗传算法工具箱源码,添加路径后可直接调用遗传算法函数(Matlab GA Tools source code)

说明：  求解最大匹配问题的matlab源程序，代码详尽并附有说明(Solving the problem of maximum matching matlab source code with a detailed description)

Program for rewriting files in binary format.

说明：  利用MATLAB编写的求解固体火箭发动机星型药柱窗口化代码(Using MATLAB to solve the solid rocket motor star grain windowing code)

采用自相关法、FFT法，三种改进方法对带噪声的正弦信号做功率谱估计( U91C7 u7289 u7R3 u5B3 u5B3 u5B09 u5B09 U529F u7387 u8C31 u4F30 u8BA1)

对通信原理中的迫零均衡进行基于MATLAB的仿真(On communication theory in zero forcing equalization MATLAB-based simulation)

产生脉冲噪声，改变参数的系数，可以获得不同的噪声类型(Generate impulse noise, change the coefficient parameters, you can get different kinds of noise)

script_ber_mimo_zf_bpsk_rayleigh_channel montre la performance de egaliseur zf avec mimo

chase码 遗传算法实现BPSK调制 AWGN信道 LLR译码实现(chase code genetic algorithm AWGN channel BPSK modulation decoder LLR achieve)

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)