This paper proposes a novel peak picking algorithm with binary lateral inhibition network. 提出了一种基于二值化的侧抑制网络的峰值提取方法。
The background and formula of peak picking method with unknown input is mainly studied, and its general flow chart is given and problems which are required in the experimental process are discussed. 重点研究了输入未知时正交多项式拟合法的理论背景和计算公式,给出了该方法的一般流程图,并对实验过程中需要注意的问题进行了探讨。
The ambient vibration field-testings were firstly carried out. Secondly, the peak picking ( PP ) method in frequency domain and the stochastic subspace identification ( SSI ) method in time domain were used for the output-only modal parameter identification. 首先介绍了全桥现场环境振动试验的概况:然后利用频域中的峰值法(PP)和时域中的随机子空间识别法(SSI)分别进行桥梁模态参数识别;
The results show that the new algorithm performance is better than two traditional algorithms & cepstrum and autocorrelation based F0 extraction algorithm, and show that the new peak picking method is practical. 实验数据表明利用了新的峰值提取方法的基频算法,比传统的自相关基频提取法和倒谱基频提取法有更好的性能,并验证了这种峰值提取方法的实用性。
We apply this effective peak picking method into extraction of fundamental frequency ( F0 ), in which it serves to pick harmonic peaks from the short term spectrum of speech signal. 本文将这种简单有效的峰值提取方法应用在语音基频提取算法中,对语音的短时谱进行峰值提取,形成了一种新型基频提取算法。