自相关函数估计的新方向

5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No.01EX517) Pub Date : 2001-09-19 DOI:10.1109/TELSKS.2001.955840

I. Radujkov, V. Šenk

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引用次数: 0

摘要

受语音识别应用的启发，我们一直在寻找一种“更好”的自相关函数估计。我们对常用的估计和我们的新方法进行了比较。结果表明，这种新技术成功地在实时信号处理的两个要求之间取得了折衷，即分析信号帧的短长度和估计的质量，这两个要求通常用于描述被分析信号的伪平稳部分。

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New directions to autocorrelation function estimation

Motivated by an application in speech recognition, we have been searching for a "better" estimate of the autocorrelation function. We give a comparison between the commonly used estimate and our new approach. It is shown that this new technique succeeds in making a compromise between two requirements for real-time signal processing - short length of the analyzed signal frame, and the quality of the estimate - that are often used for description of the pseudo-stationary parts of the analyzed signal.

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5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No.01EX517)

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