qpsk

采用滤波器组，将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理，并且在每个子带中进行声源定位，最后综合所有子带估计的方向得到多个声源的方位信息，同时将声源信息作为ICA分析的约束条件，可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向，再加以合适的权值均衡后即可得到更优的估计。(The use of filters will be blind source separation and sound localization together. Filter group were sub-band treatment, and in each sub-band in Sound Source Localization, and finally all the sub-band is estimated to be more than the direction of sound source location information, as well as sound source information as ICA analysis of the binding conditions, colored noise can be better and many of the blind source separation effect. Its advantage lies in a number of filter banks with estimated sound source direction, coupled with an appropriate balance weights can be obtained after the better estimate.)

optimal coverage problem of wireless sensor network

说明：  OFDM系统模拟，有各种时域图和频谱图，相位图(OFDM system simulation)

说明：  该MATLAB用以计算LTE下行业务数据在高斯信道下QPSK的误码率(The MATLAB is used to calculate the error rate of QPSK of LTE downlink data in Gaussian channel)

无线信道建模，路径损耗及正态阴影模型源代码，可出图，(Path loss Wireless channel modeling)

北邮计算机网络实验一，滑动窗口的回退n协议，实测信道利用率很高。(Computer network experiment 1, sliding window backoff n protocol, the measured channel utilization is very high.)

说明：  MFC编程 实现数据绘制成曲线。经兄弟推荐最终决定用两个控件MCSCOMM与TeeChart来完成此任务。MCSCOMM控件时vc自带的串口控件，TeeChart Pro是一个强大的VCL图表组件，支持上百种2D和3D图表风格，并提供40多个数学和统计函数、无限制的轴和22个调色板(MFC programming realizes data plotting into curves. After recommendation by brothers, we finally decided to use two controls, MCSCOMM and TeeChart, to accomplish this task. TeeChart Pro is a powerful VCL graphics component that supports hundreds of 2D and 3D graphics styles and provides more than 40 mathematical and statistical functions, unlimited axes and 22 palettes.)

this code simulate pure aloha .

GMSK的调制解调原理分析，包含MATLAB程序代码，代码后有注释(GMSK modulation and demodulation principle analysis, including MATLAB program code, code after annotations.)

认知无线电 频谱分配。 颜色敏感分配方法 (Cognitive radio spectrum allocation. The sensitive allocation method based on the color of user fairness)