作为一位指导或训练员，你是负责观察、带领、或许更是评估训练周期和客户表现的人。
As an instructor or trainer, you are the one who sees, leads, and perhaps even evaluates the training sessions and performances of your clients.
这种估计方法不需要利用任何训练序列或导频信号，进一步提高了系统频带利用率，降低了计算复杂度。
This estimation algorithm doesn't need any training sequences or pilot signal, therefore improves band efficiency and lower computational complexity.
同时，均衡器34B正使用例如来自下一调度用户的导频训练以用于下一调度用户的信号。
At the same time, the equalizer 34b is training to the next scheduled user's signal using, for example, the pilot from the next scheduled user.
与采用固定训练周期相比，该方法可以在保证比较低的导频开销的同时，使系统获得更好的误比特性能。
Simulation results show that compared with fixed training interval schemes, the improved algorithm can achieve better BER (Bit Error Rate) performance while keeping lower system overhead.
被训练成通过发出类似于电话铃或门铃声等信号，给聋子或听力受损者提供帮助的导聋犬。
Hearing dog: a dog trained to assist a deaf or hearing-impaired person by signaling the occurrence of certain sounds, such as a ringing telephone or doorbell.
方法采用脑立体定位、电击训练、多导睡眠描记技术。
Methods Sterotaxic, shock training and polysomnography were used in the experiment.
根据最优化训练序列的设计方法分别讨论了两种最优化训练序列的导频格式：对角正交导频和相移正交导频，分析了在两种不同导频格式下的信道估计算法。
The channel estimation algorithm based on training-sequence method firstly introduces the definition of the training sequence and discusses the optimum training-sequence in MIMO-OFDM system.
盲信道估计算法因完全不需要发送导频或训练序列，提高了系统的频谱利用率，受到了研究人员越来越多的关注。
Because of never needing to send pilot tones or training symbols that can improve the spectrum using efficiency of the systems, blind channel estimation has gotten more and more research attention.
首先介绍了单天线系统下的信道估计方法，包括基于训练序列，导频的估计算法和LS估计算法。
It introduces the estimation algorithms of single-antenna system, including training sequences, pilots estimation and LS estimation at the beginning.
导赏员是受过训练在博物馆工作的导游，负责为门外汉讲解艺术品或其它展品的价值。
A docent is a trained guide who works in a museum. This person points out works of art or other exhibits to the untrained eye.
该第一均衡器接收机34 A利用来自该用户的导频信号来根据该接收机的适应性算法训练均衡器。
The first equalizer receiver 34a utilizes the pilot signal from that user to train the equalizer according to the adaptive algorithm of that receiver.
它的基本程序是：课前目标领悟—课前问题导学探索—课堂问题学习研讨发现—课内问题训练巩固—课后问题拓展延伸。
The steps are : comprehend the aims before class----question investigation---question study and discovery---practice and consolidation in class---problem extention after class.
它的基本程序是：课前目标领悟—课前问题导学探索—课堂问题学习研讨发现—课内问题训练巩固—课后问题拓展延伸。
The steps are : comprehend the aims before class----question investigation---question study and discovery---practice and consolidation in class---problem extention after class.
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