Extracting Periodic Information by Maximum Entropy Spectrum Analysis

Xiao Bo-bo

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Extracting Periodic Information by Maximum Entropy Spectrum Analysis

更新时间：2025-12-08

- Extracting Periodic Information by Maximum Entropy Spectrum Analysis
- Acta Electronica Sinica Issue 5, Pages: 88-93(1983)
- 作者机构：
  
  1. 中国计量科学研究院
  2. 天津大学
  3. 南开大学
  4. 中国计量科学研究院天津大学南开大学
- 作者简介：
- 基金信息：
- DOI：
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- Published：1983
- 稿件说明：
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[1]肖勃勃,孙祖宝,景芳盛,宋俊杰.用最大熵谱分析方法提取周期信息[J].电子学报,1983(05):88-93.

Xiao Bo-bo. Extracting Periodic Information by Maximum Entropy Spectrum Analysis[J]. Acta Electronica Sinica, 1983, (5): 88-93.
[1]肖勃勃,孙祖宝,景芳盛,宋俊杰.用最大熵谱分析方法提取周期信息[J].电子学报,1983(05):88-93. DOI：

Xiao Bo-bo. Extracting Periodic Information by Maximum Entropy Spectrum Analysis[J]. Acta Electronica Sinica, 1983, (5): 88-93. DOI：

摘要

从观测数据中提取周期信息在许多领域如通讯、气象、地球物理、生物医学及语音处理等方面经常遇到。本文给出一种新方法并用于实践

取得了令人满意的效果。

Abstract

Periodic information extraction is a question frequently encounted in signal processing. A new method for the extraction of periodic information is proposed in this paper. Frequencies involved in such information are estimated by the maximum entropy spectrum method

and the corresponding amplitudes and phases are evaluated by trigonometric regression. Its application gives satisfactory results. An application example and the block diagram of programming are also given.

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