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。
For micro - cavity semiconductor laser , station model is proposed in this paper and its steady - state and instantaneous characteristics when the coupling efficiency of spontaneous emission into a lasing mode is equal to 1 are analysised . for current noise , sp noise , noise , p noise , as well as current modulation , sp modulation , modulation and p modulation , using small - signal approximation , we derive the laser ' s corresponding transfer functions . and we calculate their signal - to - noise ratio ( snr ) gain in various parameters through frequency domain analysis in the premiss of large input snr 本文对于微腔半导体激光器，提出站模型，能够较直观简洁地分析微腔半导体激光器的稳态和瞬态特性，利用此模型对具有重要实用价值的= 1的微腔半导体激光器进行了讨论；对于电流i噪声、自发发射寿命_ ( sp )噪声、自发发射因子噪声、光子寿命_ p噪声，以及电流调制、 _ ( sp )调制、调制、 _ p调制，在小信号近似下，得到了相应的激光器的传递函数；在大信噪比的前提下，对激光器进行了频域分析，分别计算了它们在不同参数下的信噪比增益，分析了其抗噪声性能。
