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图像中值滤波的改进算法 频域中的图像去噪算法 matlab实验(matlab experiments )

说明：  利用Matlab编写程序实现以下功能：以多项式形式输入系统前向通路传递函数和反馈回路传递函数，计算系统开环增益，判定型别，根据控制系统劳斯稳定判据原理，列出得到的任意阶次系统的劳斯表，判定闭环系统稳定性，若不稳定给出具有正实部极点的数目。 （1）根据用户输入的稳定度a，计算稳定的开环增益K的范围； （2）确定系统的最大稳定度a,计算相应的开环增益K的值。 (The use of Matlab programming to achieve the following functions: polynomial in the form of input system transfer function to the path and feedback loop transfer function, system open-loop gain calculation to determine type, according to Routh stability criterion control system theory, has been listed in the system of arbitrary order Routh table to determine the stability of the closed-loop system, if the stability of a positive real part gives the number of poles. (1) According to the stability of the user to enter a, calculation of the stability of the open-loop gain of the scope of K (2) to determine the most stable system a, the calculation of the open-loop gain of the corresponding K value.)

说明：  这里有2组图，“1000.0.05”这一组是运行结果比较好的一组图，但是当时修改了时间间隔而没有改坐标说明，所以db1000.0.05.fig这幅图的坐标说明后来做了人工改正（应该是“time(0～250ms分成5000组,步长0.05ms”）。(Reuters, "1000.0.05" This group is running a relatively good results Reuters. But then amended the time interval and not changed coordinates Note So db1000.0.05.fig site map coordinates statement later became the artificial correction (should be "ti me (0 ~ 250ms group into 5000, 0.05 Step ").)

1024点matlab仿真，10位输入，12位输出，结果保存在图像中(Matlab simulation of 1024 points, 10-bit input, 12 output, the result stored in the image)

计算面积，使用方便！是个测试Matlab的实例！(Calculate the area, easy to use! Test Matlab instance!)

OMP算法的本质思想是：以贪婪迭代的方法选择D的列，使得在每次迭代的过程中所选择的列与当前冗余向量最大程度的相关，从原始信号向量中减去相关部分并反复迭代，只到迭代次数达到稀疏度K，停止迭代。(OMP compressed sensing )

This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) process and represented in the state-space domain.(This paper deals with the problem of speech enhancement when a corrupted speech signal wit h an additive colored noise is the only informat ion available for processing. Kalman filterin g is known as an effective speech enhancement te chnique. in which speech signal is usually modeled as aut oregressive (AR) process and represented in th e state-space domain.)

offline identification using neural network

最小生成树算法的matlab实现，自己写的(good for learning)

说明：  用分布傅立叶法求解薛定谔方程的matlab程序(Schrodinger equation matlab program)