FFtqujixian

混沌时间序列预测(chaotic time series prediction)中的Volterra级数一步预测 、Volterra级数多步预测方法(Prediction of chaotic time series (chaotic time series prediction) in the prediction step Volterra series, Volterra series multi-step prediction method)

该压缩包主要是关于lasso的matlab程序，其中包含lasso的code,lasso在例子中的应用，以及lemda的交叉验证等。(The archive is mainly about lasso matlab program, which includes lasso the code, lasso in the example application, as well as cross-validation lemda like.)

复杂网络研究的不同之处在于首先从统计角度考察网络中大规模节点及其连接之间的性质，这些性质的不同意味着不同的网络内部结构，而网络内部结构的不同导致系统功能有所差异。 eeglab主要可将edf文件在matlab中转换为mat文件(EEG siganal )

利用阵列随机共振系统处理AM信号，比较处理前后的加噪信号波形，可以发现SSR系统具有抑制噪声的作用，(Stochastic resonance system using array processing AM signals, comparing before and after adding noise signal waveform, can be found SSR system has a noise suppression effect)

MATLAB教程，希望很有用,很好的使用教程(MATLAB tutorial, I hope useful, very good tutorial)

Hurst指数是描述非函数长周期的重要指标。它有别于传统单位根检验，可以发现时间序列存在的超长周期性，可以用于判断市场风险，但运算相当繁琐，单独利用Excel计算费时又费力，作者在充分理解Hurst指数内涵和应用的基础上，利用Excel的宏语言VBA编写宏程序轻松实现Hurst指数的计算，通过这一工作也希望能使Hurst指数能够得到广泛的应用。(Hurst index is to describe the function of the long period of non-important indicator. It is different from the traditional unit root tests, time series can be found in the presence of the long periodicity, can be used to determine market risk, but the operation rather cumbersome, separate consuming and laborious calculations in Excel, the authors fully understand the meaning and application of the Hurst exponent based on the use of Excel macros written in VBA macro language easily Hurst index calculation, also hopes to make this work through the Hurst exponent can be widely used.)

DQPSK，包括误码率的统计和误符号率的统计(DQPSK, including bit error rate and symbol error rate statistics Statistics)

说明：  matlab 功能工具 matlab 功能工具(matlab functions matlab function tool tool)

基于matlab的ofdm解调程序，详细步骤(Matlab based on the OFDM demodulation process, the detailed steps)

遗传算法(GA)训练BP网络权值、阈值的matlab源码[matlab](genetic algorithm (GA) BP training network value, the threshold value of the Matlab source [Matlab])