ORA

是关于vblast接收中ML算法的简单的仿真(Receiving on ML algorithm vblast simple simulation)

产生k分布，瑞利分布，正太分布，PSK_lfm,RAY,等信号的matlab文件(Generated k distribution, Rayleigh distribution, normally distributed, PSK_lfm ray signals such as Matlab files)

说明：  学习Matlab的经典入门教程,希望对学习M的人有所帮助(Matlab Tutorial classic study, people who want to help to learn M)

维格那变换，针对维格纳处理的一个例子，让你了解其过程(wignerville tranform)

工程经济串讲，关于工程经济自考的资料，对正在自考的人也许有用，所以上传上来啦！(Engineering Economic Chuanjiang, with regard to engineering economy Zikao information on the person being Zikao may be useful, so upload the Laila!)

《MATLAB神经网络30个案例分析》中的第23个例子，案例23 小波神经网络的时间序列预测-短时交通流量预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 23 example, 23 cases of wavelet neural network time series forecasting- short-term traffic flow prediction. Hope to have certain help to everybody! )

A Coordinated Control Method to Smooth Wind Power Fluctuations of a PMSG-Based WECS

电网优化，能够用于分布式电源的选址定容，也可以用于电网的网架优化计算等等(Power network optimization)

说明：  自适应滤波器rls的MATLAB算法的实现，很经典(Rls adaptive filter algorithm of MATLAB, it is a classic)

功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 (Power spectrum estimation is the use of a finite length data to estimate the power spectrum of the signal, widely used in various fields. Power spectrum estimation is divided into classic and modern spectral estimation spectral estimation. Commonly used methods of classical periodogram spectrum estimation method, the relevant law, the cycle graph Improvement Act, commonly used in modern spectral estimation methods have maximum entropy spectral estimation, AR model, MA model, ARMA model. Classical spectral estimation applied to signal a long sequence, its main drawback is the fluctuation power spectrum describing digital signature variance performance is poor, the frequency resolution is low, modern spectral estimation applied to signal short sequences designed to improve spectral estimation resolution, and The analysis applied to real seismic data spectrum.)