LP11

This m.file is intended to perform the numerical integration of a structural system subjected to an external dynamic excitation. The integration scheme utilized for this analysis is the newmark-wilson alpha-beta-theta method(collocation method). the collocation method is an implicit time steping scheme so stability of the system need not be considered.

仿真参数:800个载波，1024点IFFT，载波间频1，无多径和有延迟个码片仿真。调制方式是BPSK和QPSK(simulation parameters : 800 Carrier, the 1024-point IFFT, a carrier frequency between, No multi-path and the delay-chip simulation. BPSK modulation is QPSK)

应用小区域方差对比，程序简单，本程序的性能已经达到较高水平，阵列信号处理的高分辨率估计，现代信号处理中谱估计在matlab中的使用，主要是基于mtlab的程序，关于小波的matlab复合分析。( Application of small area variance comparison, simple procedures, The performance of the program has reached a high level, High-resolution array signal processing estimates, Modern signal processing used in the spectral estimation in matlab, Mainly based on the mtlab procedures, Matlab wavelet analysis on complex.)

说明：  lcmv程序，抗干扰能够自适应形成零陷，有波束图。(LCMV program, anti-jamming can form a self-adaptive null, beam pattern.)

ook调制，用matlab实现OOK调制(ook modulation, with the realization of OOK modulation matlab)

Different ratios of AR to the SE for a set of problem

运用matlab软件，利用遗传算法解决VRP问题( using genetic algorithms to solve the problem of VRP)

最小二乘支持向量机，程序粘到command window里，设定 2 两个参数，可以更改，以达到最优化(igam=0.001 isig2=0.001 [gam,sig2]=tunelssvm({X,Y, f ,igam,isig2, RBF_kernel },... [0.001 0.001 10000 10000], gridsearch ,{}, leaveoneout_lssvm ) type= function approximation kernel= RBF_kernel model=initlssvm(X,Y,type,gam,sig2,kernel) model model=trainlssvm(model) Yt=simlssvm(model,Xt) )

1.n个节点分段Lagrange插值多项式； 2.使用格式y=lagrange(x0,y0,x,k)； 3.输入项x0为n维插值节点向量，y0为n维被插函数值向量； 4.x为m维插值点向量，k为分段插值多项式次数，不超过3，缺省为k=1； 5.输出y为插值点x处的函数值；( 1.n a sub-node Lagrange interpolation polynomial 2. The use of the format y = lagrange (x0, y0, x, k) 3. Input x0 of interpolation nodes for the n-dimensional vector, y0 for n-dimensional vector function to be inserted 4.x interpolation points for the m-dimensional vector, k is the number of sub-polynomial interpolation, not more than 3, the default for k = 1 5. output y for the interpolation points x Department of function )

说明：  关于Arnold的一种反变换新算法 本算法无需根据周期恢复原图 只要知道正变换的密钥即可(Arnold on a new algorithm for the inverse transform of the cycle of the algorithm does not need to know is as long as the original recovery key can transform)