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A_sparse_Volterra_filter_with_application_to_nonli
- 用于混沌时间序列自适应预测的一种稀疏Volterra滤波器
33957049WTE
- 阐述了GPS坐标时间序列分析的原理和方法，包括线性拟合、相关函数法、AR（P）模型预测、功率谱、小波谱以及小波熵，通过仿真实验验证了各种方法的优点。-2. The theory and methods of GPS coordinate time series analysis are expounded, including linear fitting, correlation function, AR (P) model prediction, power spectrum, wavele
Time-series-analysis
- 现代信号处理中时间序列分析，相关重要算法，包括逆函数预测算法，矩估计，极大似然估计， 格林函数预测算法，差分方程预测方法-Modern signal processing, time series analysis, the related important algorithms, including inverse function prediction algorithms moment estimation, maximum likelihood estimation, predic
svm
- svm预测时间序列，源码在txt文件里，需要的请自行输入到MATLAB里实现-svm time series forecasting, source code in txt file, need to enter on their own to achieve in MATLAB
monitorbblanremultiple
- 用于混沌时间序列自适应预测的一种稀疏Volterra滤波器()