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.

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。

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Adaptive filtering is widely used in system identification, signal separation, channel equalization and echo cancellation and other fields.

自适应滤波广泛应用于系统识别、信号分离、信道均衡以及回声抵消等领域。

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The computer simulations under the condition of system identity and adaptive channel equalization confirm the better performance of these algorithms, compared to other algorithms.

通过系统辨识和自适应信道均衡的计算机仿真实验证明，该算法的性能跟其它算法相比具有明显的优越性。

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