Measuring data smoothing of shoe last 鞋楦曲面測量數(shù)據(jù)光順
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 同時采用了回退式參數(shù)平滑算法來解決了一階隱馬爾可夫模型的數(shù)據(jù)稀疏問題。
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 通過現(xiàn)場安裝的數(shù)據(jù)采集系統(tǒng)采集了大量的實測數(shù)據(jù),經過計算機進行濾波處理,去除噪聲,實現(xiàn)數(shù)據(jù)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,我們還參與了casp7的蛋白質結構預測的評比,對獲得的未知序列通過profile - profile方法生成的五個蛋白質結構進行結構合理性評估。
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 并介紹了一些實用的信號處理和特征提取算法,包括可以實時運算的用于抑制干擾的濾波器和數(shù)據(jù)平滑算法及用于定量分析的差分超限數(shù)、絕對峰值、峰-峰值、波形下面積和自適應門限調整等算法及其應用。
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 根據(jù)液壓系統(tǒng)工作環(huán)境惡劣,各種隨機干擾對檢測信號影響大等特點,將數(shù)據(jù)平滑方法用于壓力、流量信號檢測數(shù)據(jù)處理中,有效地減小了各種隨機噪聲的影響,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 文章首先討論了怎樣設計字詞碼本結構,使之能夠滿足靈活多樣的輸入方式,繼而設計了一種動態(tài)自學習語言模型,重點分析了數(shù)據(jù)平滑算法在語言模型中的應用與改進,最后通過一個輸入法示例程序,對改進前后不同情況下的輸入效果進行了測試。