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首页> 外文期刊>Signal Processing, IET >Confluence of pattern recognition and signal processing: application of Al-Alaoui pattern recognition algorithm to digital filters design
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Confluence of pattern recognition and signal processing: application of Al-Alaoui pattern recognition algorithm to digital filters design

机译:模式识别和信号处理的融合:Al-Alaoui模式识别算法在数字滤波器设计中的应用

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摘要

A weighted mean square error (WMSE) approach to optimising digital filters is delineated. It is applied in the current work to optimising the classical Al-Alaoui IIR differentiators to obtain new improved wideband differentiators of varying orders. These can be directly used for analog to digital conversion and in many digital signal processing applications. The weighted MSE approach is motivated by the Al-Alaoui WMSE approach to pattern recognition. In addition, the differentiators are converted to integrators of similar orders that are further optimised. Various examples and comparisons are presented to demonstrate the viability of the proposed approach.
机译:描绘了用于优化数字滤波器的加权均方误差(WMSE)方法。它在当前工作中用于优化经典的Al-Alaoui IIR微分器,以获得新的改进的阶次宽带微分器。这些可以直接用于模数转换和许多数字信号处理应用。加权的MSE方法是由Al-Alaoui WMSE方法进行模式识别的。此外,微分器转换为相似阶次的积分器,并进一步优化。提出了各种示例和比较,以证明所提出方法的可行性。

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