The relative frequency training ( rft ) method is used to estimate the model parameters . and the problem of the data sparseness is solved through the backing off data smoothing algorithm 同时采用了回退式参数平滑算法来解决了一阶隐马尔可夫模型的数据稀疏问题。
A quantity of real data were collected by a data acquisition system in a factory and pretreated through computer to filter the noise in order to realize data smooth processing 通过现场安装的数据采集系统采集了大量的实测数据,经过计算机进行滤波处理,去除噪声,实现数据的平滑。
According to the above , this paper mainly does research on three aspects : using profile - profile method in the process of getting alignment between target sequence and model sequence , data smooth we use in 最后,我们还参与了casp7的蛋白质结构预测的评比,对获得的未知序列通过profile - profile方法生成的五个蛋白质结构进行结构合理性评估。
The practical methods of signal pre - processing ( anti - disturbance filtering , data smoothing ) and character extraction ( differential limitation , absolute peak value , peak - to - peak value , area of wave and self - adaptive threshold adjustment ) are introduced 并介绍了一些实用的信号处理和特征提取算法,包括可以实时运算的用于抑制干扰的滤波器和数据平滑算法及用于定量分析的差分超限数、绝对峰值、峰-峰值、波形下面积和自适应门限调整等算法及其应用。