编码团队设计了一种算法，把耳机采集到的脑电图信号分为沉思和关注两类。
An algorithm was designed to sort the headset EEG signals into either meditation or attention inputs, each with their own distinct pattern.
在这个系统中，通信载体、信源编码、虚拟键盘的设计和脑-机接口信号的单次提取是四个最核心的问题。
There are four key issues in the system, that is communication carriers, source coding, designation of virtual keyboard, and the single-trial estimation of its message carriers.
本文主要研究了多载波相位编码(MCPC)脉冲信号，以及具有低峰值-平均包络功率比(PMEPR)的多载波脉冲串的设计。
This thesis mainly discusses the multi-carrier phase code (MCPC) pulses signal, and the design of pulses trains with low peak-mean envelop power ratio (PMEPR).
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