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ccabss
- CCABSS - Blind Source Separation by Canonical Correlation Analysis Y = CCABSS(X) is the BSS of X=A*S where S is a set of unknown source signals and A is an unknown mixing matrix. The components in S are supposed to be independent. Y is an es
SVM-predict
- 一个matlab例程,基于SVM的信息粒化时序回归预测demo,实现了对上证开盘指数变化趋势和变化空间预测- A matlab routine, regression forecasting demo SVM-based information granulated timing to achieve the opening of the Shanghai index trends and changes in spatial prediction
chapter17
- 基于svm的信息粒化时间回归预测,上证指数开盘变化趋势和变化空间预测-Based Forecasting svm information granulation time, the Shanghai index opened trends and changes in spatial prediction
iecWP-internetofthings-LR-en
- Spatial index trees constructed in wireless sensor networks are used to determine the sensors which can participate the query accurately and quickly.
Sherif Mohamed Dec 2018
- we shed light on the potential and implementation of index modulation (IM) techniques for MIMO and multi-carrier communications systems which are expected to be two of the key technologies for 5G systems. Specifically, we focus on two promising appli