fastF0Nls：C ++和MATLAB代码，用于快速，准确的基频估计-源码
fastF0Nls-基本频率的快速非线性最小二乘估计（又称音高）
在许多实际应用中会遇到周期性信号，例如音乐处理，语音处理，声纳，顺序分析和心电图（ECG）。 可以将此类信号建模为正弦曲线的加权总和，这些正弦曲线的频率是公共基频的整数倍，在音频和语音应用中，该基频通常称为音高。 因此，上述应用中的一个重要且基本的问题是从观察到的（通常是嘈杂的）数据集中估算该基本频率。
从简单的基于相关的方法（例如PRAAT，RAPT，YIN和Kaldi）到参数方法（例如子空间方法，滤波方法，谐波求和和NLS），科学文献中已经提出了多种估计方法。 尽管一般而言，参数化方法比基于相关性的方法更准确，对噪声更强
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