mikrowellenherd

2MSK调制解调 双极性信号输入 产生简单直观的误码率图(2MSK modem Bipolar signal input to a simple and intuitive diagram of bit error rate )

DF加中继基于门限的中继选择，适合基础者学习。(DF plus relay threshold-based relay selection, suitable foundation to learn.)

this code is usefull to calcule the hydraulics properties for a given cross section or batymetric. Also plot the manning properties vs de hydraulic depth

学习matlab的经典书籍，我就是通过它快速走上matlab学习之路的，现在奉献给大家。(Learning matlab classic books, I just go through it quickly learning matlab path, and now dedicated to everyone.)

实现小球下落过程的matlab的蒙特卡洛的方针。动态的显示了小球的运动。(Realizes the pellet whereabouts process matlab Monte-Carlo s policy. Dynamic demonstration pellet movement. )

该段程序完成了由输入信号抽样值到pcm的编码过程.(The section of program completed by the input signal value to the pcm coding process.)

论文分析了合成孔径雷达图像迭代滤波处理的效果及其问题，结合统计滤波方法和小波分析方法，提出了一种基于细节补偿的MAP迭代滤波算法。实验结果表明，新的迭代滤波算法较好地解决了去噪和细节保留之间的矛盾，而且算法稳定，收敛很快。(This paper analyzes the iterative synthetic aperture radar image filtering effect and its problems, combined with statistical filtering methods and wavelet analysis method, details of compensation, a MAP based iterative filtering algorithm. Experimental results show that the new iterative filtering algorithm can solve the denoising and detail preservation conflicts between, and the algorithm is stable and fast convergence.)

以中等纯度的精馏塔为研究对象，考虑到不等分子溢流的影响和非理想的汽液平衡，可以得到塔顶产品轻组分含量Y与回流量L之间的传递函数为： 其中由于现场环境干扰，输出带有测量噪声是（0，1）的正态分布序列，它的方差为ɑ=0.5。由于输出中带有很大的噪声信号，故将数字滤波技术中常见的低通滤波器由于偏差控制，滤掉其中的噪声信号，然后在对其进行PID计算，得到实际的控制量。在该方法在噪声较强的环境下，可以得到较好的控制效果。 控制要求： 1、 采用带低通滤波器的增量式PID将塔顶轻组分含量控制在0.99 2、 用ISTE法整定PID参数 3、 在控制过程中，到150周期加入幅度为-20 的阶跃干扰，在第300周期干扰消失。分析PID参数的抗干扰性。 (Medium-purity distillation column, taking into account ranging from molecular overflow and non-ideal vapor-liquid equilibrium, the transfer function between the light component content of the top product Y and the back flow L can be obtained as: Because the field of environmental interference, output with the measurement noise is a normal distribution (0,1) sequence, its variance ɑ = 0.5. As with a lot of noise in the output signal, it will be common in low-pass filter in the digital filtering techniques due to the bias control, filter out the noise signal, then its PID, the actual amount of control. In the strong noise environment, you can get better control effect. Control requirements: 1, using the incremental PID with a low-pass filter to the top of the tower content of light components in the 0.99 2, the method of ISTE tuning PID parameters 3, in the control process, to 150 cycles join the range of-20 step disturbance, disappearance of interference in the first 300 c)

Matlab program for optimal power dispatch of current

MATLAB Code for Notch Filter Design and finding peak power of signal.