言語圖譜 的英文怎麼說

中文拼音 [yányǔtúpǔ]
言語圖譜 英文
speech spectrogram
  • 言 : Ⅰ名詞1. （話） speech; word 2. （漢語的一個字） character; word 3. （姓氏） a surname Ⅱ動詞（說） say; talk; speak
  • 語 : 語動詞[書面語] （告訴） tell; inform
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 譜 : 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）...
  • 言語 : 言語spoken language; speech; verbal; lalia
  1. To do so he looked at three well - studied parts of the linguistic family tree : the bantu languages of africa, the indo - european group from eurasia and the austronesians of the pacific

    為此，他考察了語言學族譜中的已經被徹底研究過的三個部分：非洲的班圖語、歐亞大陸的印歐語系和太平洋上的南島語族。
  2. 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。
  3. It follows that the description of characteristics of g programming language in labview and the process of building virtual instruments. the paper provides a new spectrum analyzing method of the combination of spread spectrum with fft. at last it gives the arithmetic realization and programming diagram of every part of spectrum monitoring and signal searching

    介紹了labview下如何通過計算機介面獲取數據的過程，數據採集過程中各個參數的演算法選擇；同時闡述了labview平臺下g語言的特點及構建虛擬儀器的過程，然後介紹了信號分析處理部分採用的頻率擴展與fft相結合的頻域分析方法；頻譜監測部分各個模塊的演算法實現；最後給出了信號搜索部分的演算法實現及其原理框圖。
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