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Constituent Subband Allocation for System Modeling Nonuniform Subband Adaptive Filters

机译:系统建模非均匀子带自适应滤波器的成分子带分配

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Subband adaptive filters (SAFs) have gained widespread use in key applications such as echo cancellation, system identification, and equalization. SAFs are normally constrained to utilize uniform filterbanks. However, it has been recently proposed that nonuniform filterbanks can give additional flexibility to SAFs that may be used to increase performance. A rigorous mean square error (MSE) analysis has also been completed for standard system modeling nonuniform SAF configurations. This paper completes the next step by theoretically deriving an adaptive algorithm to control the nonuniform filterbank for a system modeling SAF. The algorithm is constructed so that MSE, convergence time, and computational complexity are minimized. Two numerical simulations compare the nonuniform SAF adaptive filterbank algorithm to standard, equivalent uniform SAF performance.
机译:子带自适应滤波器(SAF)已在诸如回声消除,系统识别和均衡之类的关键应用中得到广泛使用。 SAF通常被约束为使用统一的滤波器组。但是,最近有人提出,非均匀滤波器组可以为SAF提供额外的灵活性,可以用来提高性能。对于标准系统建模非均匀SAF配置,也已经完成了严格的均方误差(MSE)分析。本文通过理论上推导自适应算法来控制系统模型SAF的非均匀滤波器组,从而完成了下一步。构造该算法是为了使MSE,收敛时间和计算复杂度最小。两种数值模拟将非均匀SAF自适应滤波器组算法与标准的等效均匀SAF性能进行了比较。

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