語法檢驗特徵 的英文怎麼說

中文拼音 [yǔfǎjiǎnyàntèzhǐ]
語法檢驗特徵 英文
syntax checking feature
  • 語 : 語動詞[書面語] （告訴） tell; inform
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 驗 : 動詞1. （察看; 查考） examine; check; test 2. （產生預期的效果） prove effective; produce the expected result
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 語法 : grammar; syntax
  • 檢驗 : checkout; test; examine; inspect; verify; survey; check;checking;testing;[英國]jerque（指檢查船舶...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. The statistic of wavelet transform coefficient algorithm can solve the periodic noise, high - energy noise and some non - gauss noise simply and effectively ; bi - spectrum can acquire more information from the original signal than power - spectrum, detect more information except from range and restrain the gauss noise. short - time speech signal can be considered as stationary and with periodic non - gauss signal, so we can make use of bi - spectrum to obtain the speech character and separate the speech and noise and detect morse telegraph signal ; complex number spectrum variance algorithm is put forward based on the deeply observing speech data, it is a new algorithm, experiment show that it is simple, effective

    統計演算法在解決周期信號、高能噪聲和高斯信號方面有獨特之處，能簡單有效提取以上噪聲的特徵;雙譜能夠提供比功率譜更多的有用信息，有效地檢測信號幅度之外的其它信息，並能有效抑制高斯噪聲，短時語音信號一般認為是平穩且有一定的周期性的非高斯信號，因而可以利用雙譜來提取語音信號特性並實現信噪分離;復數譜方差演算法是在對語音信號進行深入觀察和分析的基礎上而提出來的一種全新的語音特徵提取方法，此方法簡單而有效的提取了語音、噪聲的特徵以及檢測莫爾斯信號，基於實驗表明，該演算法取得了很好的效果。
  2. The tdp system is based on the objectarx technique, autocad database and the vc + + development language. the characteristics of the configuration class is described based on the object - oriented technology and series of modules and algorithm of detecting interference are designed. in the end, the packing result without constraints of the arbitrary geometry component is realized

    本文基於objectarx技術，以autocad數據庫為操作背景，用vc + +作為開發語言，根據模擬退火法構建了多目標函數，通過面向對象技術對布局類進行了特徵描述，設計了一系列的操作模塊和干涉檢驗的演算法，完成了對無約束的任意形狀三維實體的布局。
  3. In this paper, a new way of real - time damage detection method was proposed according to the high speed working situation of the composite flywheels for energy storage, and a suit of equipment was developed to test the composite samples with piezoelectric disc built - in, the response waves before and after the damage occurred were recorded to the computer. on the base of traditional spectrum analysis of signal recorded, the wavelet analysis was introduced and the program in matlab language was made. with the wavelet packet decomposition of the signal, the relations between the change of response signals and damage characters were gotten, a database for damage recognition was created

    本文結合儲能復合材料飛輪高速旋轉的工作特點，提出了一種在線檢測飛輪轉子損傷的方法，自主設計一套實驗裝置對模擬各種損傷的的試樣進行了測試，試樣損傷前後的響應信號被採集后存入計算機中；在對採集信號進行傳統的頻譜分析的基礎上，引入了先進的小波分析理論，利用matlab語言編寫程序，對信號進行小波分解，得到了信號變化和損傷特徵之間的關系，建立了一個識別飛輪損傷的數據庫；小波包分解得到信號對比圖和特徵向量，可以有效判定材料內部有無損傷和損傷的程度，結合頻譜分析等，可一定程度上判定損傷的類型，為儲能飛輪的安全運轉和智能化運作提供了決策依據。
  4. Isolated words recognition experiment based on dtw shows : this method is o. k. in automatic detection of speech terminal and extraction of speech feature ; and achieves very satisfying recognition rate

    實驗結果表明：該法在噪聲環境下自動檢測語音端點和提取語音信號的特徵是可行的，獲得了很滿意的識別率。
  5. One is using the autocorrelation function to detect the speech terminal, the other is using the coefficients based on the one - sided autocorrelation sequence to replace the original speech signal and then extract the speech feature to recognize. isolated word recognition experiment based on dtw shows : it can reduce the disturbance of noise effectively and get the high recognition rate. it is of great advantage to apply when snr signal to noise rate is low

    對含噪語音在自相關域上進行處理，以其自相關函數值為參數進行端點檢測，以基於單邊自相關序列的lpc倒譜系數作為語音的特徵參數進行語音識別，實驗表明：這種方法較好地消除了噪聲對語音信號的干擾，並獲得了較高的識別率。
  6. A process for speaker - dependent and isolated - word speech recognition system is presented starting from preprocessing i. e. digital sampling, noise filtering, windowing and so on. it is followed by endpoint detection and pick - up parameters of speech signal. methods for speech recognition are discussed as well

    本文循著一個特定人孤立詞語音識別系統的處理過程，從信號前端處理（數字采樣、預加重濾波、加窗分幀）開始，分別介紹了語音信號的端點檢測、特徵參數提取以及孤立詞識別方法，並對每個步驟可用的幾種方法在實驗基礎上進行了分析對比。
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