摘要
本文详细讨论了4型线性相位滤波器幅频特性与正弦基神经网络算法间的关系,提出并证明了该算法的收敛定理,给出了FIR高通滤波器和FIR带通滤波器优化设计实例。计算机仿真结果表明,该算法在FIR高通滤波器和带通滤波器的有效性和优异性能。
The relationship between the amplitude-frequency characteristic of linear phase type-four FIR filters and the algorithm of the neural networks based on sine basis functions is discussed in detail. Related convergence theorem is deduced. Examples of optimized design of type-four FIR filters are also introduced. Simulation results show that the proposed neural network is effective for the design of FIR high-pass and band-pass filters.
出处
《电路与系统学报》
CSCD
2003年第5期97-100,共4页
Journal of Circuits and Systems
基金
国家自然科学基金资助项目(50277010)
湖南大学撷英计划基金资助项目
关键词
神经网络
正弦基
高通滤波器
带通滤波器
优化设计
neural network
sine basis function
high-pass filter
band-pass filter
optimized design.
