MATLAB

灵巧噪声干扰,可针对脉冲压缩雷达和PD雷达,具体干扰样式有:三角波调频干扰信号 锯齿波调频干扰信号 马鞍型噪声干扰信号 噪声调相干扰信号 噪声调频干扰信号.(Smart noise interference may be directed to pulse compression radar and PD radar, specifically jamming style are: triangle-wave frequency modulation interference signal sawtooth frequency modulation interference signal saddle-shaped noise signal noise phase modulation interference signal noise FM jamming signal.)

说明：  通过通信系统频率合成原理，生成伪随机的m序列(Principles of communication systems through the frequency synthesizer to generate pseudo-random m-sequence)

说明：  此程序能应用于陀螺的allen方差的计算(allen Variance calculations used for gyroscope )

说明：   开发环境:Matlab 简要说明:程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。(development environment : Matlab brief description : program includes the installation including : number, the total sample number, the number of samples modeling, forecasting several factors, forecasting several targets, learning factor, momentum factor, the number of training, the overall error of hidden nodes.)

说明：  计算刀刃的弗朗禾费衍射图样并模拟的MATLAB代码(Francis blade Wo fee calculated diffraction pattern and simulated MATLAB code)

Face Recognition Across Pose and Illumination

利用prony算法提取信号的幅值、频率和衰减因子，删除了mathworks工具包中的bug(The Prony algorithm is used to extract the amplitude, frequency and attenuation factor of the signal, and the bugs in the MathWorks toolkit are deleted.)

汽车爬坡度计算，m文件。用matlab软件打开。(Vehicle gradient calculation, m file.)

说明：  设计一个2FSK数字调制系统，要求： （1）设计出规定的数字通信系统的结构； （2）根据通信原理，设计出各个模块的参数（例如码速率，滤波器的截止 频率等）； （3）用Matlab或SystemView 实现该数字通信系统； （4）观察仿真并进行波形分析； （5）系统的性能评价。 (Design a digital modulation system 2FSK require: (1) design a digital communication system under the structure (2) According to the communication theory, design parameters of each module (such as code rate, filter cutoff frequency, etc.) (3 ) with Matlab or SystemView realize the digital communication system (4) observing the waveform simulation and analysis (5) system performance evaluation.)

关于永磁同步电机数学模型的最优控制matlab的m文件(optimal control of PWSM based on MATLAB)