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中文摘要：
以频率响应屏蔽（FRM）技术为基础，提出了一种基于神经网络的窄过渡带FIR数字滤波器的优化设计新方法，该算法主要通过使频率响应平方误差函数最小化来获得FRM滤波器系数，文中详细介绍了基于神经网络的基本FRM滤波器和多层FRM滤波器的设计算法及设计步骤，证明了该算法的稳定性定理，给出了仿真实例，并与已有的设计方法进行了比较，设计结果表明用该方法设计的窄过渡带FIR数字滤波器性能更为优越。
英文摘要：
By, utilizing the frequency-response-masking （FRM） technique, a novel approach for the design of efficient sharp finite-impulse-response （FIR） digital filters was presented based on a neural-networks optimal design algorithm. The main idea is to minimize the squared-error function in the frequency-domain to obtain FRM filter coefficients.Algorithmic details for the design of basic and multistage FRM filters were presented, the stability theorem was also proved to illustrate the validity of the proposed algorithm,and the implementation of the approach was described together with some design guidelines. Some simulations were included and the results show that the proposed algorithm can design better FRM filters than conventional methods.
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