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基于Goertzel算法的音阶频率分析
引用本文:丁志中,夏杨,杨萍.基于Goertzel算法的音阶频率分析[J].太赫兹科学与电子信息学报,2006,4(1):26-29.
作者姓名:丁志中  夏杨  杨萍
作者单位:1. 合肥工业大学,计算机与信息学院,合肥,230009;中国科技大学,电子工程与信息科学系,合肥,230027
2. 合肥工业大学,计算机与信息学院,合肥,230009
摘    要:音乐信号音阶频率分析的基本方法是快速傅里叶变换,但其谱线频率与定义的音阶频率在位置上有误差。对此,常数Q变换可以提供更好的性能,但其效率并不令人十分满意。本文基于Goertzel算法,给出一种音阶频率分析的方法。它具有简单有效、且容易编程的特点。

关 键 词:信息处理技术  音乐信号分析  Goertzel算法  离散傅里叶变换  快速傅里叶变换
文章编号:1672-2892(2006)01-0026-04
收稿时间:2005-07-29
修稿时间:2005-10-09

Analysis of Music Pitch Based on Goertzel Algorithm
DING Zhi-zhong,XIA Yang,YANG Ping.Analysis of Music Pitch Based on Goertzel Algorithm[J].Journal of Terahertz Science and Electronic Information Technology,2006,4(1):26-29.
Authors:DING Zhi-zhong  XIA Yang  YANG Ping
Affiliation:1.School of Computer and Information, Hefei University of Technology, Hefei 230009, China ; 2.Dept. of EEIS, University of Science and Technology of China, Hefei 230027, China
Abstract:Analysis of music pitch can be performed by Fast Fourier Transform. However, some of its spectral line frequencies are different from the defined frequencies of music notes. Constant Q transform can present better perform -ante for music signals. Unfortunately, the efficiency of the algorithm is not very satisfying. A method based on Goertzel algorithm for analysis of music note frequencies is presented in this paper. It is relatively simple and easy to be programmed, and it is efficient as well.
Keywords:information processing technology  music signal processing  Goertzel algorithm  DFT  FFT
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