Mobile-Radio-Channels-Modeling-in-MATLAB

说明：  Turbo码的BCJR 算法 将通过观察离散无记忆信道(DMC) 中的M arkov 信源的接收序列, 经过计算, 给出每符号(状态) 最小 差错概率的符号(状态) 序列。(Turbo Codes BCJR algorithm by observing without discrete memory accesses (DMC), M arkov source reception sequence, calculated, given every sign (state), the smallest error probability of symbols (state) sequence.)

kalman滤波实现目标跟踪，对一个二维物体的跟踪(kalman filter)

The most ofICI avoidance algorithms divide UEs into cell edge and cell centre users based on static thresholds such as path loss, SINR and geometry factors. However, in an actual communication environment, the UE distribution as well as the shape of a cell can be changed. Therefore selection of the cell edge bands is difficult and needs to be optimized according to the time variation environment. Reference [6] proposed an ICI avoidance algorithm that can change cell edge bands dynamically. For each active UE and every time gap (the update duration of CEU/CCU), the threshold is updated based on SINR in order to keep the ratio of number of CEUs and CCUs constant. Then, cell weight is calculated to follow the instant changing of network.

ن م و د ا ر ب ه د س ت آ م د ه ب ا ی د م ع ا د ل ه م ر ب و ط ه ر ا ب ی ا ب ی م و ا ز آ ن م ش ت ق گ ر ف ت ه و س پ س ن م و د ا ر م ش ت ق

MATALAB的算术编码应用(Application of Arithmetic Coding MATALAB)

matlab实现的LDA分类模型,可以直接调用(matlab lda for classifiy)

基于阈值分割心音信号，阈值可根据信号调整，程序给出心音分割的起止位置。(Threshold-based segmentation of heart sound signals, the threshold can be adjusted according to the signal, the program gives the starting and ending positions of heart sounds segmentation.)

基于matlab的小波神经网络算法的水文时间序列预测，基于1步和基于五步预测的程序，由于原始数据偏少，预测精度稍微差点(Hydrologic time series matlab wavelet neural network algorithm based on prediction, based on a step and five-step program to predict, because the raw data too few, almost a little prediction accuracy )

使用遗传算法优化fcm算法对初始值敏感的问题，得到全局最优解，求出聚类中心作为fcm算法的输入(Using genetic algorithm and optiml fcm algorithm solving initial,get the best solution and make the initial cluster to be the input)

一种很好用的光流法，对于图像处理学习的初学者是很不错的参考程序。(A good use of optical flow for image processing is very good for beginners to learn the reference procedure.)