一种基于对称傅里叶变换的信号频率估计算法研究

Frequency Estimationin Speech Signal Based on Discrete Fourier Transform

信号频率的分析在机电一体化系统中是一个重要命题,如何从夹杂噪声的信号中准确提取出频率信息是机电一体化系统中信号处理领域的一个难题。离散傅里叶变换一直是解决该类问题的重要方法,其中对称傅里叶变换在估计频率相近的信号时有较小的误差,在具有谐波干扰以及噪声干扰的环境下,该算法仍然可以提供较好的估计精度。

The frequency of a signal contains important information. How to extract the frequency information accurately from the signal mixed with noise is a difficult problem in the field of signal processing. How to extract the important frequency information from the speech signal has always been an important proposition. The discrete Fourier transform has always been an important method to solve this kind of problem, while the symmetric Fourier transform has a small error in the estimation of signals with similar frequencies. In the environment with harmonic interference and noise interference, the algorithm can still provide better estimation accuracy.