dspmatlab

给出卫星适当的初始位置和速度，利用其运动微分方程，求出2－3个周期内的轨道，并画出机械能和动量矩的大小随时间变化的曲线。(Given appropriate initial satellite position and velocity, using the equations of motion, find the 2-3 cycle track, and draw mechanical energy and angular momentum of the size of the curve over time.)

这是自己整理很久的一片有关于运动目标检测与跟踪算法研究的论文，用matlab实现的。(This is a long-own finishing about moving target detection and tracking algorithm paper, using matlab to achieve.)

是基于四阶累积量的旋转不变因子ESPRIT算法，在matlab环境下实现(Is based on the cumulative amount of rotation of fourth-order constant factor ESPRIT algorithm in matlab environment to achieve)

Determines what changes you should make to the signal during a psychoacoustic adaptive track

带宽自适应的meanshift改进算法用于井下目标跟踪(Meanshift improved bandwidth adaptive algorithm for target tracking underground)

unit root test!!!!!!!!!!!!!!!!!!!!!including kinds of toolbox

matlab变压器源码单相变压器空载运行仿真(matlab source transformer single phase transformer load operation simulation)

test simulation channel power

视频压缩,用matlab来实现，视频压缩,用matlab来实现( video compression on matlab)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)