舰船辐射噪声的小波域HMM分析

基于小波的统计信息处理技术，一般都上波系数建模为独立或联合高斯的，但这些模型对许多实际信号来说并不理想，在本文中，我们使用这一种基于小波域洋可夫模型（ＨＭＭ）的统计信号处理结构，对实际领事涉及的统计独立性和非高斯统计进行建模。小波域ＨＭＭ使用小波变换的基本性质来设计，提供了强有力并处理的随机信号模型。我们使用一种有效的期望值最模型的参数可以区分不同类型的信号。

Analyzing the ship-radiated-noise with the wavelet-domain HMM model

Wavelet-based statistical signal processing techniques generally model the wavelet coefficients as independent or jointed Gaussian.These models are unrealistic for many real signals.In this paper,we use a framework for statistical signal processing based on wavelet-statistics encountered in real-world signals.Wavelet-domain HMM''s are designed with the intrinsic properties of the wavelet transform in mind to provide powerful,yet tractable,probabilistic signal models.Efficient expectation maximization algorithms are used for fitting the HMM''s to the observational signal data,viz.the ship radiated noise.Based on one simple experiment,a result show that different type signals can be classified according to the parameter of this model.