A performance comparison of the Teager-Kaiser operator and an adaptive notch filter

Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136) Pub Date : 1997-11-02 DOI:10.1109/ACSSC.1997.679188

V. DeBrunner, S. Torres

引用次数: 0

Abstract

Tracking non-stationary narrow-band signals is an important problem in many DSP problems such as speech processing. We compare the performance of two such methods: the frequency-transform based notch filter and the energy separation algorithm. We show that the FTBNF tracks almost as well as the Teager-Kaiser operator in high SNR conditions, and that its performance is significantly better in low SNR conditions.

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Teager-Kaiser算子与自适应陷波滤波器的性能比较

非平稳窄带信号的跟踪是语音处理等许多DSP问题中的一个重要问题。我们比较了两种方法的性能:基于频率变换的陷波滤波器和能量分离算法。我们表明，FTBNF在高信噪比条件下几乎与Teager-Kaiser算子一样好，并且在低信噪比条件下其性能明显更好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)

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