L-BFGS-CODE

This package was used was aircraft landing simulation. Its code implements algorithms, that detect objects on planes runway: vehicles, people, animals. Analizes black&white image from infrared camera (folder containes just Photoshop images), detects objects, highlights them and informs pilot of possible risks.

本程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。(the procedures under the trained network file ANN.mat anticipating new data files, to be mean-square error. and the mapping out of the original forecast data and the map data comparison.)

由提出cross recurrence plot方法的原作者用MATLAB编写的CRP工具箱，含有使用手册。(cross recurrence plot tools for matlab with reference manural)

带通滤波器的设计及滤波例子，给出了30~50Mhz的一个带通滤波器的设计实例(Bandpass filter design and filtering example is given a 30 ~ 50Mhz band-pass filter design example)

empirical formula with kaiser clc clear all fs=1000 fc=250 df=50 r=0.001 f=fc/fs dw=2*pi*(df/fs) a=-20*log(r) n=floor(((a-8)/(2.285*dw))+1) if a>50 b=0.1102*(a-8.7) elseif a>=21 && a<=50 b=0.5842*((a-21)^0.4)+0.07886*(a-21) elseif a<21 b=0.0 end w=kaiser(n,b) for i=1:n if i~=(n-1)/2 hd(i)= (2*f*sin((i-((n-1)/2))*2*pi*f))/((i-((n-1)/2))*2*pi*f) elseif i==(n-1)/2 hd(i)=2*f end end for j=1:n h(j)=w(j)*hd(j) end subplot(3,1,1), plot(w) subplot(3,1,2), plot(h) subplot(3,1,3), plot(h,n)

code matlab for cognitive radio )in the spectrum detection (Spectrum Sensing) algorithm simulation

通过单边选择实现低复杂度的置信传播（BP）算法，并将此算法应用于检查模型中，可有效提高系统的性能，且具有较低的复杂度(Select achieved through unilateral low-complexity belief propagation (BP) algorithm, and the algorithm is applied to check the model can effectively improve system performance, and has lower complexity)

the code for four bit qpsk with 90 degrees phase shift with constellation and without constellation of noise is given

灰色预测完全代码，适合GM（1,n）。内附简单代码说明(Grey full code for GM (1, n). Containing simple code Description)

building a digital channel with calculating ber