资源列表
gx4
- 1、根据LP01模V和W的数值，拟合例题中V在[1.5，2.4]区间的V和W的线性关系式，并给出拟合得到的最大误差。（提示：利用函数polyfit(),polycal()） 2、说明三个传输常数U、V、W以及简并模的概念和意义。 3、结合仿真结果（包括例题中的仿真结果）阐述U、V、W对导波的影响。 提示：模式截止、模式远离截止等等(1. According to the values of LP01 modulus V and W, the linear relationship between
twodgamma
- matlab 基于二维伽马函数的光照不均匀图像自适应校正算法(Adaptive correction algorithm of illumination nonuniformity image based on two-dimensional gamma function)
ZSJLQR
- 用LQR控制算法，控制做直线运动的带吊挂负载直升机的matlab程序，可直接使用，输出位移与吊挂负载曲线(The LQR control algorithm is used to control the matlab program of the helicopter with hanging load, which can be directly used to output displacement and hanging load curve)
惯导代码
- 捷联惯导matlab程序代码，可直接运行计算位置速度和姿态(Matlab program code of strapdown inertial navigation system, which can calculate position velocity and attitude directly)
TEST1
- 使用面元法计算机身的气动参数的matlab程序代码(Matlab code of aerodynamic parameters of computer body using panel method)
PLL
- 测量三相交流电源的线电压，使用PLL跟踪其相位或者频率，对于锁相环的设计和学习，有一定的参考价值。(Measuring the line voltage of three-phase AC power supply and tracking its phase or frequency with PLL are of certain reference value for the design and learning of PLL.)
code
- 推导雷达方程，建模计算美国的预警机雷达对大型战斗机的最大发现距离。雷达建模包括天线方向图、扫描调制（天线方向图的扫描调制）等，同时考虑不同脉冲积累数(Derive the radar equations, model and calculate the maximum discovery distance of the US early warning aircraft radar for large fighters. Radar modeling includes antenna patte
DML test
- 基于模型预测控制算法研究自动驾驶车辆轨迹跟踪(Trajectory tracking of autonomous vehicle based on model predictive control algorithm)
IMCRA111
- IMCRA(Improved?Minima Controlled Recursive Averaging，IMCRA)，它们虽然保证了噪声谱估计的准确性，但在追踪带噪语音平滑功率谱最小值时采用了固定时间窗，因此，在噪声突变的情况下，估计的噪声谱存在很长的延时。(IMCRA, Although they ensure the accuracy of noise spectrum estimation, they use a fixed time window to track the minimu
mahalanobis
- 马氏距离，欧式距离的改进，里面有详细介绍说明(The improvement of Mahalanobis distance and Euclidean distance, which has a detailed introduction.)
小波神经网络
- 小波神经网络预测代码 可以用来进行交通流量预测(the code about BP ,which can be use to predict)
基于径向基神经网络的预测地下水位
- 采用径向基神经网络搭建地下水预测模型，进行地下水预测。(The radial basis function neural network is used to build groundwater prediction model.)