譜零相位 的英文怎麼說

中文拼音 [língxiāngwèi]
譜零相位 英文
spectrum zero-phase
  • : Ⅰ名詞[書面語]1 (按類別或系統編成的書或冊子等) table; chart; register 2 (指導練習的格式或圖形)...
  • : Ⅰ數詞1 (零數) zero2 (數的空位) zero sign (0); nought 3 (表示沒有數量;無) nil; nought 4 (...
  • : 相Ⅰ名詞1 (相貌; 外貌) looks; appearance 2 (坐、立等的姿態) bearing; posture 3 [物理學] (相位...
  • : Ⅰ名詞1 (所在或所佔的地方) place; location 2 (職位; 地位) position; post; status 3 (特指皇帝...
  • 相位 : phase position; phase
  1. The first part of the paper is designing the testing project for grounding resistance and insulation resistance in a new way. using 16bits ad converter with programmable control amplifier replaced the way which used changing resistance to change measure range. lt is not only improved testing precision and develop the system expediently, but also reduced the area of the circuit boardwith the new way. in order to make the electric implement safety testing system have upstanding expansibility, the software and hardware of the system adopted the modularization design. adopted mcu atmegal28 as a master mcu which control mmi, realtime clock and communication with slaver mcu. atemga8 as the slaver mcu to realize testing function. so it is easy to add or reduce the testing project. the testing implement system has been developed successfully, and the comments for the system is that it has high precision, high expansibility and easy maintain. but considering the electric implement system should have intelligence and humanity abi lity. so this paper bring forward a scheme of electric equipment safety testing embedded system with speech control. after introduce the basic theory of speech recognition, the paper expatiate the characters of this system. the system is a noise conditon, not special people, small glossary, insulation word system. with these characters design the speech recognition as fellow. utilizing cross zero ratio and short energy to ensure jumping - off point and end point ; adopting mfcc as the character parameters of speech recognition ; the character parameters than be recognized by dtw. in order to ensure the credibility of this project, first realized by matlab in computer

    在介紹了語音識別的基本原理后,闡述了本系統的特點:本系統是一個噪聲環境下非特定人、小詞匯量、孤立詞的語音識別系統。根據本系統的這些特點設計了如下語音識別方案:利用過率和短時能量結合的方式確定語音端點;採用mel頻率倒系數( mfcc )作為語音識別的特徵參數;得到的特徵參數最後通過動態時間規整( dtw )的模式識別方法進行識別。為了確保本系統實現方案的可靠性,首先通過計算機利用matlab軟體來模擬,在演算法模擬實現后又進一步增加環境的復雜性:加上較大的環境噪聲、突發性的噪聲等,再通過修改參數、修改參考模板、兩級識別等各種提高語音識別精度的方法來提廣東工業大學工學碩士學論文高識別率。
  2. In this paper, based on the study of single channel deconvolution, we made a research in double channel deconvolution. there are three cases when we find its results by dfs algorithm. the first is that z transform expression of results have no polar on the identity circularity. the second is that denominator have zero on it while molecular have zero to counteract. the third is that z transform expression of results have polar on it, which is well known that deconvolution kernel has no spectral inverse

    本文在對雙通道信號卷積反演求解時採用較為簡便的dfs演算法,在求解過程中會遇到的三類情況,第一類是解的z變換表達式在單圓上無極點,第二類是z變換表達式分母有點但分子有應的點作抵消,第三類是z變換表達式在單圓上有極點(即稱之為卷積核無逆) 。
分享友人