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。
According to the characteristics of the work condition is wretched and the signals are affected seriously by kinds of random noise etc . , the data smoothing method is used in the pressure and flow signal processing , it reduces the effect of the random noises , and has a good result 根据液压系统工作环境恶劣,各种随机干扰对检测信号影响大等特点,将数据平滑方法用于压力、流量信号检测数据处理中,有效地减小了各种随机噪声的影响,具有很好的效果。
The paper discusses how to design the chinese character and word code to meet the various input modes at first , then designs a dynamic self - study language model , and analyses the data smoothing algorithm in the language model 文章首先讨论了怎样设计字词码本结构,使之能够满足灵活多样的输入方式,继而设计了一种动态自学习语言模型,重点分析了数据平滑算法在语言模型中的应用与改进,最后通过一个输入法示例程序,对改进前后不同情况下的输入效果进行了测试。