This paper proposes two methods for speech recognition under the additive noiseenvironment, namely dynamic adaptation multi model spectral subtraction and multi model spectral addition.
针对语音识别中的加性噪声进行研究，提出了动态自适应多模板谱减法和多模板谱加训练补偿法。
2
Compared with the wavelet analysis, the dynamic reference waves are more flexible and effective in extracting the available fault traveling waves in the complex environment with serious noise.
和小波分析法相比，动态的参考波对于在复杂的干扰环境下提取有用的故障波形更加灵活、有效。
3
Coupled with the observation noise in the network environment, the Internet has become a complex dynamic system, which a great challenge for traditional deterministic fault localization technique.