获取与戈泽尔算法频域

本文介绍了获取与戈泽尔算法频域的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我用这个代码：

public double goertzel(List<double> sngData, long N, float frequency, int samplerate) { double skn, skn1, skn2; skn = skn1 = skn2 = 0; samplerate = this.sampleRate; frequency = this.freq; double c = 2 * pi * frequency / samplerate; double cosan = Math.Cos(c); for (int i = 0; i < N; i++) { skn2 = skn1; skn1 = skn; skn = 2 * cosan * skn1 - skn2 + sngData[i]; } return skn - Math.Exp(-c) * skn1; }

使用该功能在处理音频数据后，我应该怎么办旁边得到与算法的频域？

After use that function while processing audio data, what should i do next to get the frequency domain with that algorithm?

推荐答案

Goertzel算法是为了找到一些特定频率的强度（幅度）。频率为输入参数。

Goertzel algorithm is intended to find an intensity (magnitude) of some specific frequency. Frequency is input parameter.

要获得音频信号的频谱（强度若频率域），则必须执行戈泽尔算法中的一个大型系列的频率，但它是明智的1傅立叶变换得到类似的结果。结果也许有人会说，戈泽尔算法找到离散FT的一个样本。

To get frequency spectrum of audio signal (intensity if freq. domain), you have to execute Goertzel algo for a large series of frequencies, but it would be wise to make one Fourier transform to get similar results. One might say that Goertzel algorithm finds one sample of discrete FT.