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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.

this is a very good book for learners of Visual C++. As a beginner i found this was very useful for me. And i hope it will be very useful for those who are interested to learn Visual C++.

MATLAB仿真命令集，收集和总结了MATLAB仿真需要用到的命令(MATLAB ordered set, collect and summarizes the need to use MATLAB orders)

Given a time series, the algorithm will test its non-linearity calculating the lyapunov exponent by Jacobi method

说明：  本例是一个简单的运动目标跟踪程序，对一个小球进行了实时的跟踪(This example is a simple object tracking program, for a small real-time tracking of ball)

三相整流后逆变，电流滞环控制永磁电机，效果还不错(After the three-phase rectifier inverter, the current hysteresis control of permanent magnet motor, effect is good)

2D Multi-Parameter Pie Control

用MATLAB编写的语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、 wPqmRn函数、短时幅度差、倒谱、复倒谱 bAflVNH系数计等，是我多年调试通过的程序 (MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,wPqmRn function, short-term amplitude difference, cepstrum, cepstral bAflVNH coefficient meter, etc. , is a program debugging through my years of )

提取语音信号的基频参数的例子，对于语音识别及其情感识别特有用(voicebox for voice prosessing)

用于高光谱图像处理的matlab程序，包括图像融合，降维和图像的极大似然分类程序(for hyperspectral image processing Matlab procedures, including image fusion, dimensionality reduction and image of the maximum likelihood classification procedures)