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Fast Sinusoidal Analysis Algorithm Based on Energy of Narrowband Spectrum
  • 期刊名称:Chinese Journal of Acoustics
  • 时间:0
  • 页码:413-427
  • 语言:英文
  • 分类:TN911.7[电子电信—通信与信息系统;电子电信—信息与通信工程] TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]Department of Electronic & Communication Engineering, South China University of Technology Guangzhou 510640
  • 相关基金:This work was supported by the National Science Foundation of China for Distinguished Young Scholars (No. 60625101) and by the Natural Science Foundation of Guangdong Province (No. 9351064101000003).
  • 相关项目:信息系统及其仿真评估
中文摘要:

一条快正弦曲线参数抽取算法基于 narrowband 的精力,光谱被介绍。改进分析精确性和计算效率,算法集成信号和它的 n 顺序信号衍生物的 Fourier 变换。并且 narrowband 光谱的精力被用来接近单个正弦曲线的整个系列的精力自从大多数精力在主要脑叶被集中,发信号光谱 windows.Experiment 结果证明与存在算法相比,建议算法由 30%-60% 和还原剂改进分析精确计算复杂性。因此,它能被用于实时信号分析和讲话通讯。

英文摘要:

A fast sinusoidal parameters extraction algorithm based on energy of narrowband spectrum is presented. To improve analysis accuracy and computational efficiency, the al- gorithm integrates the Fourier transforms of signal and its n-order signal derivatives. And energy of narrowband spectrum is used to approximate the energy of the whole spectrum of single sinusoidal signal, since most energy is concentrated in the main lobe of spectral windows. Experiment results show that compared with existing algorithms, the proposed algorithm improves analysis precision by 30%-60% and reduces computational complexity. Therefore it can be applied to real time signal analysis and speech communication.

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