dualcursor2

说明：  python for informatics, 专门介绍如何用python进行数据分析和统计(Introduce how to use Python for data analysis and statistics)

另外的一个潮流计算程序，仍是采用直流潮流法(Another trend of the computer program is still using DC power flow)

说明：  用友写狗 studiedxfp 用友udw 用友T+ 写狗 udw2.3写狗(UFIDA writing dog studiedxfp UFIDA UDW UFIDA T + writing dog udw2.3 writing dog)

说明：  遥感数据提取/分析/获取/arcgis/matlab/(Remote Sensing Data Extraction)

一个用Delphi写的扫雷程序源码-this is a procedure source of mine by delphi!

有关于D2D通信中，信道仿真的编程是基于python语言的。(Programming for channel emulation in D2D communication)

微纳光纤半径对相位的影响,这个绝对有效，而且保证能运行出来(The effect of the micro-nano fiber radius on the phase, which is absolutely effective, and guaranteed to run out)

假设一个点目标在x，y平面上绕单位圆做圆周运动，由于外界干扰，其运动轨迹发生了偏移。其中，x方向的干扰为均值为0，方差为0.05的高斯噪声；y方向干扰为均值为0，方差为0.06的高斯噪声。 已设计一FIR维纳滤波器，选择Kalman滤波器进行滤波处理，确定最佳传递函数，并用该滤波器处理观测信号，得到其最佳估计。(Assume that a point target moves circularly around the unit circle in the x, y plane, and its movement trajectory shifts due to outside interference. Among them, the interference in the x direction is Gaussian noise with a mean of 0 and a variance of 0.05; the y-direction interference is Gaussian noise with a mean of 0 and a variance of 0.06. An FIR Wiener filter has been designed. The Kalman filter is selected for filtering, the best transfer function is determined, and the filter is used to process the observed signal to obtain the best estimate.)

MFC DLL的编写和调用示例-MFC DLL and call the sample preparation

4）读取音乐信号romanza_pe.wav, 截取其前10s信号，选择适当的窗口类型和窗口宽度，显示其短时傅立叶频谱，以便能更清晰地看清谱线。说明信号频谱特点。 5）令D=5下采样音乐信号，播放其声音并显示其短时傅立叶频谱。描述并解释你所听到的声音和观察到的频谱之间的关系() Read the music signal romanza_pe.wav, intercept its first 10 s signal, select the appropriate window type and window width, display its short-time Fourier spectrum, so as to be able to see the spectrum lines more clearly. The characteristics of signal spectrum are explained. 5) let D=5 sample the music signal, play its voice and display its short-time Fu Liye spectrum. Describe and explain the relationship between the voice you hear and the observed spectrum.)