CIC_Compensation_Filter_Coefficients

matlab codes for segmentation

基于matlab的FFT算法运用；64点和128点的FFT的幅度谱(64-point and 128-point FFT amplitude spectrum use matlab FFT algorithm )

相控阵天线阵列的密度加权matlab程序代码。 运行gui.m文件 lmax.m和lmin.mLinear_func.m最后几行被调用，放在和Linear_func.m路径相同的文件夹下即可 运行后command window里第一条分割线上面是第一幅图的几个值，第二条分割线上面是第二幅图的几个值。其中，peak_first是数值最大的峰值，peak_second是数值第二大的峰值(第一旁瓣)，theta_var是与 peak_first最近的左右两个谷值横坐标的距离。 因为是找半峰值点的，因为都是小数，在数组里没有正好等于主瓣幅值一半的点，只有接近一半的点，所以要设定一个范围比如大0.05或小0.05都认为是半峰值，但是有的数组里0.05的范围还是太小，所以可能报错。(Phased array antenna array the density weighted matlab program code. The last few lines of the run gui.m the file lmax.m lmin.mLinear_func.m call, same placed Linear_func.m path folder above the dividing line of the command window to run the first picture the several values ​ ​ above the dividing line several values ​ ​ of the second image. Wherein, peak_first numerical maximum peak the peak_second is the the numerical second largest peak (first sidelobe), the theta_var is the abscissa and peak_first recent about two valley distance. To find half the peak point are decimal, the array does not just equal to main lobe amplitude half points, only nearly half points, so you want to set a range, such as 0.05 or 0.05 are considered semi-peak some array, but the range of 0.05 or too small, it may be an error.)

说明：  GMSK mod and Demod using Simulink

Advanced Engineering Mathematics With Matlab

说明：  一个MATLAB和BP算法的程序,对神经网络学习有帮助(matlab and bp)

Solve non-stiff differential equations

The purpose of the present work is to investigate inference and statistical prediction when the data and (or) the unknown parameter have large or infinite dimension.

西电名师的讲义，有关天线讲义，学习天线知识必备(Western Electric teacher lectures, handouts about the antenna, antenna knowledge necessary to learn)

The Tabu search (NMTS) algorithm to solve a multiobjective fuzzy model for optimal planning of distribution systems. This algorithm obtains multiobjective nondominated solutions to three objective functions: fuzzy economic cost, level of fuzzy reliability, and exposure (maximization of robustness).