delta-sigma

LMS算法使用matlab语言实现仿真 用于自适应滤波器(LMS algorithm using matlab simulation language used to achieve adaptive filter)

The code does the halftoning of colored image using the jarvis matrix and displays the halftoned image.

This is for multiuser detection in telecommunication

60个常用的matlab的小程序，文件命名采用函数名命名，使用者请根据需要自行选择(60 a small matlab program used, the file name using the function named，the user according to their needs)

Proteins _ String Kernel

Vector gradient of RGB image

poly2trellis，程序清晰简单，容易阅读，matlab调用易实现(poly2trellis, procedures clear and straightforward, easy to read, matlab call easy to realize)

mainMIMO_OFDMA_2Tx_SER.m: 主程序，设置各种参数 gendata.m: 生成原始信息数据的程序 mod_2Tx_STBC_DFUSC.m：调制程序 gen_SUI_CorrCIR.m: 生成信道冲击响应的程序 get_perfectCE_2x2.m: 生成理想信道估计值的程序 chanSUI_corr_2x2.m: 发送信号通过SUI信道的程序 addAWGN_2x2.m: 添加高斯白噪声的程序 dem_DFUSC_2x2_STBC.m: 接收端解调主程序 ls_freq.m: 频域LS算法 ls_time_2x2.m: 时域LS算法 ML_decision.m: Alamouti最大似然检测算法">

this file gives the parameters of a model estimated from given data. this is usfull in estimationa and forecasting

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.