ldpc-16qam

维纳滤波的MATLAB环境实现，使用LMS算法，可用于滤波，图像恢复等应用(Wiener filtering MATLAB environments, the use of LMS algorithm, can be used to filter, image restoration applications)

for fasting implementation of the Multiwall

用ezplot命令来计算模拟一维二元光子晶体的反射率(Ezplot order to use simulation to calculate the binary one-dimensional photonic crystal reflectivity)

关于常规脉冲多普勒地面雷达的杂波建模与仿真(On the conventional pulse Doppler radar ground clutter Modeling and Simulation)

matlab的另一个功能就是应用在图像处理上。有强大的能力处理图像。希望对读者有很大的帮助(Another feature is the application of matlab in image processing. Has a strong ability to handle images. Hope to be very helpful to readers)

本人编写的QC-LDPC码的完整实现，采用阵列校验矩阵，极其简单，适合入门(A easy-to-learn source code of QC-LDPC encoder)

在matlab平台下产生信号序列通过QPSK方式调制通过高斯信道以及瑞利信道，对其中的过程的信号时域以及其频谱，星座图情况进行分析(Matlab platform in the signal sequence under way through the QPSK modulation, as well as through the Gaussian channel Rayleigh Road, on which the process of time-domain signal and its spectrum, constellation diagram analysis)

it is scrambler using matlab

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)

ADSB广播式自动相关监视信号的生成，采样频率80MHZ(Generate ADSB automatic dependent surveillance-broadcast signals, the sampling frequency 80MHZ)