inversion2

反向差分源代码，入口为main()函数内含详细注释，解决函数维度具有可扩展性。(Reverse differential source code, the entrance to main () function contains detailed notes, solve scalability dimension function.)

The ZIP include BER Calculator , Noise Generator , Q_fn and QBEP for Ultrawide band

System will automatically delete the directory of debug and release, so please do not put files on these two directory

Demo:演示程序（注意图像路径） ShearletCoef: 系数计算程序 mybeta: 伪极坐标 Fourier 变换（文件名是暂时的用法） phi0,psi0,psid: 低高频图像点阵显示（myu,myv用于理论分析，不被 Demo 调用） psiStock: FPsi1(2)_x（有编号）: shearlet 函数类 bump: 钟形光滑函数 ramp: 斜升光滑函数（即旧版中的 smooth） 新版比旧版提高了框架函数的连续性——对角方向上的生成函数进行了连续化。算法设计上， 伪极坐标 Fourier 变换被独立出来。(Demo: demo program (note the image path) ShearletCoef: coefficient calculation procedure mybeta: pseudo-Polar Fourier transform (the file name is temporary usage) phi0, psi0, psid: low frequency image dot matrix display (myu, myv for theoretical analysis not to be invoked Demo) psiStock: FPsi1 (2) _x (numbered): shearlet function classes bump: bell smooth function ramp: ramp smooth functions (ie legacy of smooth) than the old version of the framework to improve the continuity of functions- diagonal direction of the generating function were continuous. Algorithm design, pseudo-Polar Fourier transform is independent.)

基于matlab的2fsk的调制与解调源程序，以及眼图，误码率的计算，相干解调，非相干解调的比较(Matlab-based 2fsk the source of the modulation and demodulation, as well as the eye diagram, bit error rate calculation, coherent demodulation, comparison of non-coherent demodulation)

本文对V-BLAST系统进行仿真，仿真比较采用干扰消除和无干扰消除的系统误帧率与SNR的关系曲线，并进行比较。(V-BLAST system simulation, simulation was used to compare the interference cancellation and without interference cancellation system, the frame error rate and SNR curve, and compare them.)

This script will setup the nonlinear simulation (UAV_NL.mdl) and call trim and linearization routines. Select the desired aircraft here in this script, via the "UAV_config()" function call.

this matlab source code is for begining

复morlet小波识别模态参数（阻尼和频率）的算例(Modal parameter identification combined Morlet wavelets (damping and frequency) examples)

基于神经网络的双色球预测，采用滑动窗口对输入参数进行了处理(Shuangseqiu forecast based on neural network, a sliding window on the input parameters are processed)