IS-GPS-200D

差分方程求解 实验步骤： 主界面下进入实验五的“差分方程求解”子系统,输入希望看到的输出样点数 输入差分方程系数向量 输入顺序为：，。其中 N+1 为差分方程两边系数最大数目，如果有一边输入系数个数小于 N+1，将按不足系数为零计算。 输入系统初始状态向量 输入顺序为 鼠标单击确定按钮，以数值和图形两种方式显示单位冲激响应和输出响应 3） 确定差分方程形式：y(k)-y(k-1)+0.35y(k-2)=2x(k)-x(k-1)，(Experimental steps for solving differential equations: the main interface into five experimental " differential equation" subsystems, would like to see the output of input sample points difference equation coefficient of input vector input sequence as follows:,. One of N+1 differential equations for the maximum number of factors on both sides, if there is one less than the number of input coefficient of N+1, the calculation will be less than zero coefficient. Initial state vector input system for the importation of the order of the mouse button to click OK to both numerical and graphical display unit impulse response and output in response to 3) to determine the form of differential equation: y (k)-y (k-1)+0.35 y (k-2) = 2x (k)-x (k-1),)

关于turbo码网格计算的仿真程序，对网格图的简化计算提出了新的实现(Turbo codes on the grid computing simulation program, to simplify the calculation of the grid map proposed a new realization of)

ecg modern sig processing

机器学习 马可夫决策 策略迭代 MATLAB代码(MDP policy iteration)

Cluster data for image processing

经过上机调试，可以运行，是基本的EZW算法的仿真编码，希望对大家有帮助。(On native debugging, you can run the basic EZW algorithm simulation code, we hope to help.)

CDMA的MATLAB仿真，可以进行不同信噪比下的误码率分析。(MATLAB simulation of CDMA can be carried out under different signal to noise ratio of the bit error rate analysis.)

说明：  是《信号与系统》第一章信号运算的实验内容，有详细的代码和实验原理(Is the &quot Signals and Systems&quot Chapter signal computing experiment content, code and test a detailed theory)

matlab小波分析程序，主要是基于mtlab的程序，基于互功率谱的时延估计，一种流形学习算法（很好用），旋转机械二维全息谱计算。( matlab wavelet analysis program, Mainly based on the mtlab procedures, Based on the time delay estimation of power spectrum, A fluid manifold learning algorithm (good use), Rotating machinery 2-d holographic spectrum calculation.)

遗传算法与模拟退火,粒子群算法的结合与比较实验.稍微修改就可以学习应用(Genetic algorithms and simulated annealing, particle swarm optimization algorithm and comparison with experiment. A slight modification can learn the application of)