Color-area-matlab-code

IEEE802.16标准系统的仿真，包括发射机，信道，接收机这个完整的过程(simulation of ieee802.16 standard)

Turbo prolog 2.0 software

Frequncy Filtering in digital image processing

a Simulink block to use the state space MPC code is developed. Two examples to work with continous-time state space plant model and discrete-time state space plant model are included.

分数傅里叶代码，包括了分数威布尔分布，让大家相互学习学习(Fractional Fu Liye code, including scores of Weibull distribution, let us learn each other)

径流预报常用的几种模型：AR模型，BP模型，RBF模型，GM(1,N)模型；预报数据预处理方法：自相关函数以及偏自相关函数确定法；EMD方法(Several commonly used runoff forecasting model: AR model, BP model, RBF model, GM (1, N) model forecast data preprocessing methods: autocorrelation function and partial autocorrelation function to determine the law EMD Method)

MATLAB tutorial file. This will help you in finding out the difficult task being easy after reading this tutorial

非参贝叶斯字典学习用于图像去噪的matlab代码(BPFA denoising matlab code for the paper nonparametric bayesian dictionary learning for analysis of noisy and incomplete images download http://www.ee.duke/~mzl/Results/BPFAImage/.)

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

huffman coding and huffman decoding