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。
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。
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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