神经网络作为一种新型的优化算法，可以替代自适应均衡算法中的横向滤波器，在数字通信系统中得到了广泛应用。
As a kind of new optimized algorithm, neural network can substitute for landscape orientation filter in adaptive equalization, and it has been widely used in digital communication system.
自适应滤波器在信号检测、信号恢复、数字通信等领域中被广泛应用。
Adaptive filters are commonly used in the field of signal detection, signal restore and digital communication.
本文在系统输入和输出噪声相关的条件下，提出一种新的噪声统计估值器和自适应状态滤波器，应用表明了它的有效性。
In this paper a kind of new estimators of noise statistics and adaptive filters of states are put forward in the case that input and output noises of systems are correlative.
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