提出一种基于多天线(MIMO)技术的空时信号处理技术,即空时映射(space-time mapping,STM)技术.从减少多天线间相关性的角度出发,设计了适用于不同MIMO C .
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Mapping the raw time series data to a modality space effectively is a critical problem in time series similarity search.
将时序数据有效地映射到特征空间是时间序列相似性搜索的一个关键问题。
A novel concurrent selective mapping (SLM) algorithm with space-time block coded (STBC) was proposed to solve this problem.
针对此问题,提出了一种新的基于空时分组码(STBC)的并行选择映射算法。
The good localization characteristics of wavelet functions in both time and frequency space allowed hierarchical multi-resolution learning of input-output data mapping.
利用小波变换所具有的良好的时频分析特性,实现了输入输出之间映射关系的多分辨学习。
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