Study-on-Evaluation-Index-System

使用SGP模型进行轨道计算的matlab源码 使用两行星历TLE(Simplified perturbations models are a set of five mathematical models (SGP, SGP4, SDP4, SGP8 and SDP8) used to calculate orbital state vectors of satellites and space debris relative to the Earth-centered inertial coordinate system. This set of models is often referred to collectively as SGP4 due to the frequency of use of that model particularly with two-line element sets produced by NORAD and NASA.)

Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.

在matlab环境下面编程，最好使用2012版本及其以上，完成利用matlab软件提供的图像处理函数来完成图像匹配，3D重建的工作。最后的效果图很好，由于是利用matlab自带的图片，所以压缩文件中无图片，直接打开m文件就可以运行！(Below programming in matlab environment, it is best to use 2012 version and above, using matlab software provides complete image processing function to complete the image matching, 3D reconstruction work. The final renderings good, as is the use of matlab comes with a picture, so the compressed file without pictures, you can directly open the m-file to run!)

These are the code for energy detection.these code also describe about threshold,probability of detection,probability of false alarm,etc...

ASK, OOK, FSK, BPSK, QPSK, 8PSK modulations MATLAB release MATLAB 7.1.0 (R14SP3)(ASK, OOK, FSK, BPSK, QPSK, 8PSK modulations)

用matlab编写的一维两相渗流数值模拟程序，采用隐压显饱法求解含水饱和度和压力，适合油藏数模编程初学者！(Using matlab to prepare a one-dimensional two-phase flow simulation program, the use of implicit pressure explicit saturation method for solving water saturation and pressure reservoir for the D programming for beginners!)

说明：  截止频率在0.3Hz的巴特沃斯低通滤波器，采用二阶级联进行编程。(In the 0.3Hz cutoff frequency of Butterworth low-pass filter, used to program the second class together.)

地震数据 segy 文件，读写工具 readsegy(segy tools)

程序利用快速傅立叶变换及逆变换模拟了脉冲在光纤中传输时三阶色散对脉冲形状的影响(procedures using fast Fourier transform and inverse transform simulation of the pulse in fiber transmission third-order dispersion on the shape of the pulse the impact)

shape recognition with neural network