STBC-OFDM

TD-SCDMA trunked system

The Best Blind MMSE Estimator

Implementacao da rede MLP canonica (backpropagation com gradiente descendente)

维特比(aqui_cdma acqui fft cdma)

蚁群算法很好的一个MATLAB程序资料，希望大家支持(ACO)

说明：  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)

严格耦合波法分析光栅衍射的matlab源程序(the matlab code for rigorous coupling wave analysis of diffractiong grating! )

在simulink平台搭建了有源电力滤波器的仿真模型，配电网电压为400V。可用于课程设计。(The simulation model of active power filter is built on the Simulink platform, and the distribution network voltage is 400V.It can be used for curriculum design.)

简单的信道化处理信号，输入不同的信号中心频率点会得到不同信号的输出从而分离出输入信号，代码较简单直观(Simple channel processing signal, the input signal different center frequency will be output different signals to separate the input signal, the code is relatively simple and intuitive)

说明：  (径向基函数)神经网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等(rmf netural network matlab)