PrototypeScroll

说明：  清华出版社 胡广书版 数字信号处理第七章课后作业 程序仿真(Tsinghua University Press, Hu Guang-shu edition of Digital Signal Processing Chapter VII of the simulation after school hours and operating procedures)

本代码使用高斯绝对稀疏信号进行重构，采用的重构算法是SAMP，重构效果好！(This code uses the absolute sparse Gaussian signal reconstruction, reconstruction algorithm uses a SAMP, good remodeling effect!)

基于最小二乘支持向量机理论,结合某风电场实测风速数据,建立了最小二乘支持向量机风速预测模型。对该风电场的风速进行了提前1h的预测,其预测的平均绝对百分比误差仅为8.55 ,预测效果比较理想。同时将文中的风速预测模型与神经网络理论、支持向量机(support vector machine,SVM)理论建立的风速预测模型进行了比较。仿真结果表明,文中所提模型在预测精度和运算速度上皆优于其他模型。 (Based on least squares support vector machine theory, combined with a wind farm measured wind speed data, the establishment of a wind vector machine forecasting model of least squares support. The velocity of the wind farm were predicted in advance 1h, the mean absolute percentage error of only 8.55 of its forecast, forecast effect is ideal. While the text of the wind speed forecasting models and neural networks, support vector machines (support vector machine, SVM) wind speed prediction models were compared with established theories. Simulation results show that our proposed model on prediction accuracy and computing speed are superior to other models.)

采用matlab编程的DTMF检测程序仿真，经过测试，绝对可用，可检测多个DTMF信号！(using Matlab programming DTMF detection process simulation, tested and absolutely can be used, can detect DTMF signals over!)

2007年全国大学生数学建模获奖论文所需程序代码，其中有较详细的matlab编程，应该有些用处吧(Mathematical Contest in Modeling 2007, papers required for award-winning code, including more detailed matlab programming, it should be of some use)

说明：  电力市场的最优化分配问题源代码,电气工程同学大作业。(Optimal electricity market distribution source code, electrical engineering students to major operations.)

matlab传递矩阵计算转子临界转速。非常实用(matlab transfer matrix calculation of the rotor critical speed. Very useful)

利用基于排序的邻域粗糙集算法对具有高维属性的元数据进行属性约简，删减多余的无关属性，避免模型的过拟合，提高模型预测精度和模型运算速度(The algorithm based on the ordered neighborhood rough set is used to reduce the attributes of the high dimension attributes, to eliminate the redundant irrelevant attributes, to avoid the over fitting of the model, and to improve the accuracy of the model prediction and the operation speed of the model)

本程序为基于粒子群的IEEE 118 节点的电力系统优化调度程序(distributed generation voltage control environmental benefits active/reactive power integrated optimization particle swarm algorithm)

解非线性方程 能过解复根 实根 但需要逼近(help you save equation conclude different answer)