ete_Zmn

利用经典Jakes模型生成时间频率双选信道，自己写的，已对各参数进行标注(Using the classical Jakes model to generate time-frequency dual-channel selection, write, and has marked the various parameters)

DieselEngine in simpower matlab program

关于ofdm的一个程序，OFDM的仿真，可以用flipdim函数构造对称共轭矩阵(A program on ofdm, OFDM simulation, you can use flipdim conjugate symmetric matrix function construction)

Merge sort algrorithim implemementation in C#, and making use of mulitiple processors with MPI specification

matlab工具箱中的源码 功能齐全 简单实用(matlab source code is simple and practical functional)

计算固体力学的matlab程序以及运行结果。(FEM s matlab program and results)

code_ICCV2009_multiobject_context,ICCV2009年的多目标文本的程序(code_ICCV2009_multiobject_context, ICCV2009 multi-year program target text)

交互多模型算法基本框架，用于机动目标跟踪的程序源码(kalman filter and the basic procedural framework for the uniform straight line tracking)

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.)

通信原理实验代码，AM信号，单边带信号，双边带信号的产生以及傅里叶变换(Communication Theory test code, AM signal, single-sideband signal, as well as double-sideband signal generation Fourier transform)