Dynamic-Analysis-

在科研中，大量时间花在统计年鉴的搜集上，例如找《中国城市统计年鉴》中2000多个市，要对分散的八个城市群找对应的数据，如果每次筛选会花费大量时间，如果做好excel表头，把对应的城市写上去会在多个文件多个工作组查找满足要求的数据，直接按需要保存成excel，进行后续分析。(In the research, the amount of time spent on the Statistical Yearbook of the collection, for example, to find " China City Statistical Yearbook" in more than 2000 cities and want to find a group of eight cities scattered corresponding data, if each screening will spend a lot of time, If you do excel header, the corresponding write up the city will look to meet the requirements of data in multiple files multiple workgroups, saved directly as needed to excel, for subsequent analysis.)

分别用Ansys和Matlab建立的混凝土骨料随机投放模型，建立二维，三维数值混凝土模型，对分析混凝土的破坏机理具有重要参考价值。(Concrete aggregates were used Ansys and Matlab established random delivery model, a two-dimensional, three-dimensional numerical model of concrete, concrete analysis of the failure mechanism has important reference value.)

应用模糊函数进行时延提取，进行干扰源定位作为铺垫(Application of the ambiguity function to extract the delay, interference location as foreshadowing)

关于雷达系统中目标航迹的跟踪定位程序，主要方法为PF(About radar target tracking and locating track procedure, the primary method for the PF)

数据EOF分析，海洋气象常用。将长时间，多空间点数据分解成时间序列和空间序列。进行数据的时空分析。(Used for EOF analyse)

Tasks of the machine learning lessons

In this section, the PAPR performance of the proposed algorithms is shown. To evaluate the PAPR performance, the CCDF is employed. The specification detail of simulation parameters is given in TABLE I. In Fig. 5 is shown the PAPR with a PTS method (U = 8) and conventional PTS (U = 4) are improved 4.3 dB and 2.6 dB from ordinary MIMO-OFDM signal when CCDF = 10− 4 respectively and Fig. 6 is shown the PAPR with an optimal PTS method in case of 128 subcarriers.

windows media format 9 samples for filter(nine samples for filter)

在语音识别中来完成对语音信号的端点检测以便于减少冗余(In speech recognition to complete the speech signal endpoint detection in order to facilitate the reduction of redundancy)

对信号进行小波分解，用硬阈值方法去除噪声，进而提高精度(right signal wavelet decomposition, with a hard threshold to remove noise, and to improve accuracy)