jaopen_v82

直角牛顿-拉夫逊法的电力系统潮流计算程序，希望能对大家有所帮助(At right angles to the Newton- Raphson method of power flow calculation program, we hope to help)

自己编写的matlab简单计算，用于计算矩阵的加减乘与求逆，特征行列式等(I have written matlab simple calculation used to calculate the matrix addition and subtraction, multiplication and inversion, characteristic determinant, etc.)

BP神经网络识别手写字符验证码，包括10721张字母、数字样本(BP neural network handwritten character recognition codes, including 10,721 letters, numbers, samples)

OFDM SIMULATION HOW TO CREATE A OFDM SIGNAL

matlab多目标优化问题实现，可以参考一下啊(matlab multi-objective optimization, you can refer to ah)

ofdm信号的仿真程序，接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档(ofdm simulation)

利用傅里叶变换的方法，求含有噪声的两个序列的互相关函数(a method of getting cross correlation function)

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.)

LMS_Newton算法，应用于自适应滤波(LMS_Newton algorithm used in adaptive filtering)

信号检测与估计的教材的附录代码，仅供参考，加深对课程的理解(Signal detection and estimation of materials Appendix code, for reference, to deepen understanding of the curriculum)