Two - dimensional harmonic retrieval in correlative multiplicative and additive noise 相關(guān)乘性和加性噪聲背景下的二維諧波恢復(fù)
Autoregressive model - based robust speech recognition in additive noise environment 基于自回歸模型的加性噪聲環(huán)境穩(wěn)健語音識別
To solve this problem , the output signal of the sensor with additive noises were decomposed , denosied and reconstructed by wavelet analysis 利用消噪后的信號,通過系統(tǒng)辨識方法建立傳感器動態(tài)特性的補(bǔ)償環(huán)節(jié)。
Bimodal noise is one simple , hybrid noise consisting of two kinds of additive noises . as a whole , it belongs to non - gauussian noise 雙模噪聲是由兩種噪聲迭加成的簡單混合噪聲,從整體上說屬于非高斯噪聲。
The accuracy of a speech recognition system in actually noisy environment is seriously affected by the additive noise and the channel distortions 實際環(huán)境中的背景噪聲和傳輸通道變化所引起的畸變嚴(yán)重影響了語音識別系統(tǒng)的性能。