Integrating the statistical characteristics of speckle noise in SAR images with wavelet-domain Markov random field (MRF) structure of images, a new wavelet-domain spec.
基于图像在小波域的马尔可夫随机场模型(MRF)结构，结合SAR图像中相干斑噪声的统计特性，本文提出了一种新的小波域相干斑抑制方法。
In this paper, a parallel sub-state hidden Markov model, which integrates the clean speech and noise information, and each state of the model has several parallel sub-states, is presented.
提出了一种平行子状态隐马尔可夫模型用作噪声鲁棒语音识别的声学模型。
The algorithm USES posterior information to modify model's noise variance and markov transition matrix, so as to make IMM have adaptive ability.
该算法采用后验信息修正模型的噪声方差和马尔可夫转移矩阵，使IMM具有自适应能力。
The statistics modeling method of underwater noise signal is studied. The hidden Markov tree model in wavelet domain is adopted to model the sea noise and various ship-radiated noise.
研究了基于小波域多尺度树结构的水下噪声信号统计概率模型的建模方法。
Methods: Based on Markov random fields model of noise, a iteration algorithm was presented by using maximum a posteriori (MAP) criterion.
方法：根据马尔科夫随机场图像模型，利用最大后验概率准则(MA P)，提出一种迭代松弛分割算法。
Methods: Based on Markov random fields model of noise, a iteration algorithm was presented by using maximum a posteriori (MAP) criterion.
方法：根据马尔科夫随机场图像模型，利用最大后验概率准则(MA P)，提出一种迭代松弛分割算法。
应用推荐