欧文进了一球，扳平了比分。
The controller 36 performs the same process using the equalizer receiver 34.
控制器36使用均衡器接收机34执行相同处理。
During the subsequent packet interval, the equalizer 34b equalizes and processes that user's data packet.
在随后的分组间隔期间，均衡器34b均衡并处理该用户的数据分组。
Again considering the illustration of FIG. 3, the equalizer 34a is equalizing and processing a data packet from a received signal.
再次考虑图3的例示，均衡器34a正在均衡并处理来自接收信号的数据分组。
One example includes a least-mean-square (LMS) algorithm that USES a reference signal for training the equalizer to channel conditions.
一个例子包括使用参考信号来训练均衡器到信道条件的最小均方(LMS)算法。
The techniques can allow the equalizer to account for antenna diversity, such as receive diversity, transmit diversity, or possibly both.
所述技术可允许均衡器考虑到天线分集，例如接收分集、发射分集或可能 兼考虑到二者。
In this paper, it is proved that if there is an adaptive transversal equalizer in the system, the equalizer can also reject the pilot interference.
本文提出，若系统中有自适应横向均衡器，均衡器能兼起抑止导频干扰的作用。
The first equalizer receiver 34a utilizes the pilot signal from that user to train the equalizer according to the adaptive algorithm of that receiver.
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。
In one example, the exchanged information includes computed tap weights that are used as part of the adaptive algorithm within the equalizer receivers.
在一个例子中，所交换的信号包括计算的抽头权重，其用作均衡器接收机内适应性算法的一部分。
Blind equalization techniques rely on solely the received channel output signal to adjust the equalizer weights without a known training sequence available.
盲均衡就是不借助于训练序列而仅仅利用接收序列就实现均衡的一种新兴的均衡技术。
In the conventional zero-forcing or minimum MSE equalizers, a known training sequence is transmitted to the receiver for purpose of initially adjusted the equalizer coefficients.
在常规的迫零或最小MSE均衡器中，会发送一个确知的训练序列给接收机，以便调整均衡器系数。
Based on method of minimizing of mutual information and approximated generalized Gaussian distribution of equalized output signal, the equalizer changes its coefficients adaptively.
采用输出信号的广义高斯分布近似，基于互信息最小化目标函数自适应调整均衡器的系数。
In one example, while the equalizer receiver 34a trains for one user, a second equalizer receiver 34b processes a received signal containing data packets from a previously scheduled user.
在一个例子中，当均衡器接收机34A为一个用户训练时，第二均衡器接收机34B处理接收的信号，该接收的信号包含来自先前调度的用户的数据分组。
The equalizer derives a servo signal from a reflection of the beam.
均衡器用于从光束的反射中获得伺服信号；
The equalizer has a sparse matrix structure and thus a low computational complexity.
该均衡器具有稀疏矩阵结构，因此计算量小。
The equalizer is constructed with decision feedback structure, and an immune algorithm is used to determine the structure and parameters of RBF nonlinear hidden layer.
这种均衡器引入了判决反馈均衡器的结构，并采用免疫算法确定RBF网络隐层（非线性层）的结构和参数。
The equalizer is constructed with decision feedback structure, and an immune algorithm is used to determine the structure and parameters of RBF nonlinear hidden layer.
这种均衡器引入了判决反馈均衡器的结构，并采用免疫算法确定RBF网络隐层（非线性层）的结构和参数。
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