channel_estimation

说明：  基于四阶累积量的MUSIC算法，内有注释(Fourth-order cumulant-based MUSIC algorithm, the annotated)

积分微分方法及应用在matlaB中的实现，压缩包里面包含讲义和源代码。(Integral derivative methods and applications in MATLAB, compression package which contains the lecture notes and source code.)

使用matlab仿真chirp信号模型应用于GPS捕获中的虚警概率(Chirp signal using matlab simulation model was used to capture the false alarm probability of GPS)

variable speed of induction motor.

天线圣经，每个学习天线的人必看经典。其中对天线的原理性描述非常深刻。(Antenna Bible study each antenna, a person must classic. The principle on which the description of the antenna is very profound.)

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

实现emd的分解并利用svm预测，最终得到太阳能的预测结果(Realize the decomposition of EMD and use SVM prediction, and finally get the prediction result of solar energy.)

image processing sample programs

用经典RK方法和四阶ADAMS预测校正算法求解微分方程(Classical RK method and fourth-order predictor-corrector algorithm for solving differential equations ADAMS)

基于matlab，实现滚动时域估计算法（MHE算法），将估计问题转化为优化问题，基于粒子群算法求解最优解，结合惩罚函数法来处理带约束的优化问题(Optimization based on matlab, realize moving horizon estimation (MHE algorithm), the estimation problem into an optimization problem solving the optimal solution based on particle swarm algorithm, combined penalty function method to deal with constraints)