第二部分主要完成自适应噪声抵消系统的硬件设计和软件编程。
In the second part, the task is to design the hardware and software for adaptive noise canceling system.
利用神经网络来设计自适应噪声抵消系统具有重要的理论意义和实用价值。
The use of neural networks for designing a adaptive noise cancellation system is important theoretical significance and practical value.
为此给出一种阵列抗串扰自适应噪声抵消方法，并将其与改进的谱相减技术相结合。
An array crosstalk resistant adaptive noise cancellation method is therefore presented. And then an improved spectral subtraction algorithm is further cascaded to obtain better enhancement results.
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