高斯统计 meaning in Chinese

gaussian statistics

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
本文介绍了一种统计信号处理的框架模型，这种模型是基于小波域的隐马尔可夫模型，它可以简洁地对实际生活中遇到的信号的统计相关性和非高斯统计进行建模。因为小波变换可以通过减少小波系数的状态数量来去除图像数据的相关性，因此小波域的隐马尔可夫模型对于统计图像建模是可以掌控的和有用的。