本文提出了一种基于频域能量分布分析的自适应元音帧提取算法。
This paper presents a self-adaptive vowel-frame detection algorithm based on energy distribution analysis in frequency domain.
研究了铝合金点焊过程中声音信号的时频域能量分布，并应用它来识别点焊的熔核状态。
This paper investigates energy distribution of air-borne acoustic signals in time-frequency domain during aluminum alloys spot welding in order to identify weld nugget states.
前一种方法是利用信号在频域的能量分布特征识别目标，实际测试取得约83%的平均识别率。
The preceding method is uses the signal in the frequency range energy distribution trick recognition goal, the actual test obtains approximately 83% average recognition rate.
应用推荐