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Design of multiplier-less sharp transition width non-uniform filter banks using gravitational search algorithm

机译:利用引力搜索算法设计无乘数的尖锐过渡宽度非均匀滤波器组

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摘要

In this paper, multiplier-less near-perfect reconstruction tree-structured filter banks are proposed. Filters with sharp transition width are preferred in filter banks in order to reduce the aliasing between adjacent channels. When sharp transition width filters are designed as conventional finite impulse response filters, the order of the filters will become very high leading to increased complexity. The frequency response masking (FRM) method is known to result in linear-phase sharp transition width filters with low complexity. It is found that the proposed design method, which is based on FRM, gives better results compared to the earlier reported results, in terms of the number of multipliers when sharp transition width filter banks are needed. To further reduce the complexity and power consumption, the tree-structured filter bank is made totally multiplier-less by converting the continuous filter bank coefficients to finite precision coefficients in the signed power of two space. This may lead to performance degradation and calls for the use of a suitable optimisation technique. In this paper, gravitational search algorithm is proposed to be used in the design of the multiplier-less tree-structured uniform as well as non-uniform filter banks. This design method results in uniform and non-uniform filter banks which are simple, alias-free, linear phase and multiplier-less and have sharp transition width.
机译:本文提出了一种无乘数的近完美重构树状滤波器组。为了减少相邻通道之间的混叠,在滤波器组中首选具有陡峭过渡宽度的滤波器。当将尖锐的过渡宽度滤波器设计为常规的有限脉冲响应滤波器时,滤波器的阶数将变得非常高,从而导致复杂性增加。众所周知,频率响应屏蔽(FRM)方法会导致线性相位尖锐过渡宽度滤波器具有较低的复杂度。我们发现,基于FRM的拟议设计方法与早期报道的结果相比,在需要陡峭过渡宽度滤波器组时,在乘法器数量方面具有更好的结果。为了进一步降低复杂度和功耗,通过将连续滤波器组系数转换为两个空间的有符号幂的有限精度系数,使树型滤波器组完全无乘法器。这可能会导致性能下降,并要求使用合适的优化技术。本文提出了重力搜索算法,用于无乘子树形均匀和非均匀滤波器组的设计。这种设计方法产生均匀和不均匀的滤波器组,这些滤波器组简单,无混叠,线性相位且无乘数,并且具有陡峭的过渡宽度。

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