本文主要完成数字化业务中的一项——高频自适应中实时信道估值技术(RTCE)的实现。
This paper mainly fulfills realizing the real Time Channel Estimate (RTCE) Technology of adaptive High-Frequency (HF), which is one of the digital businesses.
针对一类单输入单输出不确定非线性重复跟踪系统，提出一种基于完全未知高频反馈增益的自适应迭代学习控制。
An adaptive iterative learning control approach is proposed for a class of single input, single output uncertain nonlinear systems with completely unknown high frequency learning gain.
该算法通过对正则化线性斜率的自适应，更新动态优化代价函数，以降低对PET图像高频成分的抑制。
This algorithm can adaptively optimize the cost function and reduce the suppression of high frequency component of PET image by adaptively updating linear slope of the RP.
提出了一种用于区分输电线路瞬时性故障和永久性故障的新方法：利用高频通道及其信号区分瞬时性故障和永久性故障，从而实现三相自适应重合闸。
This paper brings forward a whole new scheme of three-phase adaptive reclosure, which uses the carrier channel and its signals to distinguish transient faults and permanent faults.
提出了一种用于区分输电线路瞬时性故障和永久性故障的新方法：利用高频通道及其信号区分瞬时性故障和永久性故障，从而实现三相自适应重合闸。
This paper brings forward a whole new scheme of three-phase adaptive reclosure, which uses the carrier channel and its signals to distinguish transient faults and permanent faults.
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