例句與造句

1. In this paper , we introduce a new framework for statistical signal processing based on wavelet - domain hidden markov models ( hmms ) that concisely models the statistical dependencies and nongaussian statistics encountered in real - world signals , since the wavelet transform can decorrelate image data by reducing the number of states of wavelet coefficients , thus making wavelet - domain hmms manipulable and usefu l for statistical image modeling
   本文介紹了一種統(tǒng)計(jì)信號(hào)處理的框架模型，這種模型是基于小波域的隱馬爾可夫模型，它可以簡(jiǎn)潔地對(duì)實(shí)際生活中遇到的信號(hào)的統(tǒng)計(jì)相關(guān)性和非高斯統(tǒng)計(jì)進(jìn)行建模。因?yàn)樾〔ㄗ儞Q可以通過(guò)減少小波系數(shù)的狀態(tài)數(shù)量來(lái)去除圖像數(shù)據(jù)的相關(guān)性，因此小波域的隱馬爾可夫模型對(duì)于統(tǒng)計(jì)圖像建模是可以掌控的和有用的。
2. It's difficult to find statistical image in a sentence. 用statistical image造句挺難的