语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等-Short-time speech signal analysis, mainly including: sub-frame, short-time energy, short-term average, short-time zero-crossing rate, short-time auto-correlation function, short-t

用Burg算法求AR模型的参数。比自相关法有着较好的分辨率，但对于白噪声加正弦信号，有时可能会出现谱线分裂现象。-Algorithm for AR model parameters using the Burg. Than the autocorrelation has a better resolution, but the white noise added to sinusoidal signals, may sometimes appear as split.