Eyediagram-of-2a4PAM

psk调制，给出了不同抽样速率和信噪比下的仿真结果(psk modulation, given the different sampling rate and SNR of the simulation results)

风力发电最大功率点跟踪，采用爬山法，matlAB自带永磁同步电机，buck电路降压(Wind power maximum power point tracking, using climbing method, matlAB own permanent magnet synchronous motor, buck buck circuit)

class for efficient manipulation of N-fold

求单变量反馈控制回路的输出时间延迟 X为闭环回路输出时间序列 寻找时间延迟tau：即Sdeltmean第一个极小值点对应的t(Find a single variable feedback control loop time delay the output of X is closed-loop output time series to find the time delay tau: the Sdeltmean the first minimum point corresponding to t)

编程中出现的小程序，四字节char型数组转浮点数(four byte char to float)

说明：   在matlab中通过接口用c语言程序实现求和程序(In matlab interface used by c language program summation process)

Deblurring Images - Matrices, Spectra, and Filtering

又称蚂蚁算法,是一种用来在图中寻找优化路径的机率型算法。。(Ant colony algorithm Matlab code)

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.)

说明：  基于视觉注意机制的图像显著图提取，包括亮度，dkl颜色，方向等通道，合成图像的显著性描述图(Image-based visual attention saliency map mechanism extraction, including brightness, dkl color and direction of channels, the significance of synthetic image description graph)