chp7_3

信道估计中两种经典算法的对比，MMSE和SVD-MMSE，上传的为验证过的函数程序，自行补充(Channel estimation in two classic algorithms in contrast, the MMSE and SVD-the MMSE, upload function for proven program to complement their own)

实验指导　低通采样定理实验 FFT频谱分析实验 IIR滤波器设计实验 窗函数法FIR滤波器设计 频率采样法FIR滤波器设计实验(Experimental guide low-pass sampling theorem FFT spectrum analysis experiment experiment experiment IIR Filter Design Window Function FIR filter design frequency sampling FIR filter design experiment)

signal to noise ratio in different formats

绘制不同函数曲线的用户界面。 调节函数，坐标范围和网格(Draw a different function curve user interface. Adjustment function, range and grid coordinates)

1、熟悉LTE网络体系架构及接口； 2、掌握DBS3900单站数据配置整体流程； 3、掌握DBS3900单站全局数据配置步骤； 4、掌握DBS3900单站全局传输数据配置命令及参数含义； 5、掌握DBS3900单站无线层数据配置命令及参数含义； 6、理解BBU LMPT单板电口IP至MME IP地址对应意义（指向控制面--SCTPLNK）； 7、理解BBU LMPT单板电口IP与S-GW IP地址对应意义（指向用户面---IPPATH）； 8、理解扇区、小区的概念及二者的关系、 9、会将MML命令行制作成脚本数据。 ( A familiar LTE network architecture and interfaces 2, master data configuration DBS3900 single station overall process 3, master DBS3900 single station Global Data configuration steps 4, master DBS3900 single station global configuration commands and parameters of data transmission meaning 5, master data DBS3900 single station radio layer configuration commands and parameters meaning 6, understanding BBU LMPT board electrical interface IP to the MME IP address corresponding meaning (pointing control surfaces- SCTPLNK) 7, understanding BBU LMPT board electrical interface IP and S-GW IP address corresponding meaning (pointing to the user plane--- IPPATH) 8, understanding the sector, community and the relationship between the concepts, 9, will be made ​ ​ into MML command line script data.)

对归一化最小均方算法NLMS的matlab仿真，包括收敛曲线(The normalized least mean square algorithm NLMS matlab simulation, including convergence curve )

小波神经网络的时间序列预测——短时交通流量预测(Prediction of time series based on Wavelet Neural Network -- short term traffic flow prediction)

matlab呈现混凝土孔隙分布，根据孔径大小看分布情况(Matlab shows pore distribution of concrete)

摘要:提出了一种新型的人工免疫算法用来解决多目标函数优化问题。基于自然免疫系统固有的优良特性对算法进行了设计和分析。 最后,算法对3个较复杂的多目标问题进行了优化,优化结果能很好地覆盖问题的Pareto最优面,并且把算法与某些混合遗传算法进行 了对比实验,表明人工免疫算法在解决多目标优化问题上具有可观的研究前景。 (Abstract:In order to effectively solve multiobjective optimization problems, a novel artificial immune algorithm is proposed. It is de signed and analyzed based on excellent intrinsic features of nature immune systems. Additionally, the algorithm sensitivity to its tuning pa rameters is briefly assessed. Finally, the algorithm is applied to solve three complex multiobjective optimization problems and the results ca perfectly map the Pareto-optimal fronts. By comparing the algorithm with some genetic algorithms, it shows the good prospect to apply ar tificial immune system to solve multiobjective optimization problems. )

Emd 数据分析包 可以绘制希尔布特边际谱 包络谱等(Emd data analysis package，It can draw envelope spectrum and Hilbert-Huang Spectrum ,etc)