distinguishing signal 中文意思是什麼

distinguishing signal 解釋
辨別信號
  • distinguishing : 辯識
  • signal : n 1 信號，暗號；信號器。2 動機，導火線 （for）。3 預兆，徵象。adj 1 暗號的，作信號用的。2 顯著的...
  1. This dissertation is chiefly act below work : ( 1 ) expatiating the equipments diagnosis technique development process and trend, putting forward the standpoint that giving systematical diagnosis to the mechanical and electrical equipment and expanding the technical application in equipment diagnosis, making it breakthrough the traditional application of maintaining etc. in equipments, still be used for improvement and development etc. s of new product ' s design ; ( 2 ) probing into vibration type and disposal method of vibration signal, the usual method of equipment condition recognition, the essential constitutes and development trend of observation and diagnosis system ; ( 3 ) introducing the development trend of domestic and international crusher and the distinguishing feature of double turnplate stike crusher which is a new product. according to the breakdown phenomenon in running process, establishing the fault tree and deducing every kind of foundation affairs resulting in fault ; ( 4 ) studying the calculation method of critical rotation speed

    本文主要做了以下工作： （ 1 ）闡述了設備診斷技術的發展過程及發展趨勢，提出了應結合實際對機電設備進行系統診斷的新的技術思路，用實踐證明了應當拓寬設備診斷技術應用的范圍，使設備診斷技術既可以在設備管理和設備維修中得到應用，也可以用於新產品的設計改進及開發等； （ 2 ）探討了振動的類型及振動信號的處理方法，設備狀態識別常用的方法，監測與診斷系統的基本構成與發展趨勢； （ 3 ）介紹了國內外破碎機的發展趨勢，以及雙轉盤沖擊破碎機這一新產品的結構和特點，並根據試機過程中出現的故障，建立了故障樹，並導出了導致故障發生的各種基礎事件； （ 4 ）研究了臨界轉速的計算方法和原理，用傳遞矩陣法計算出了破碎機內轉盤的臨界轉速。
  2. The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research

    調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。
  3. Experimentation result show that the method provided in this paper can choose effective characters from acoustic signal and establish the base for classify distinguishing effectively and forecast

    實驗結果表明，用本文所提供的特徵提取方法，可以從聲激勵信號中提取出有效的特徵信息，對以後進行粘接構件性能的分類預報奠定了基礎。
  4. The dietetic life, a foundation of creating taste image, can create taste image of language sign by interaction, second signal system, linking senses and promoting feelings so as to achieve aesthetics of distinguishing taste

    飲食生活作為味象生成的根基，其通過交感、第二信號系統及聯覺通感等多種途徑實現語符的味象生成，從而達成辨味審美。
  5. In order to improve the behavior of transformer protection that is incomplete at present in distinguishing magnetizing inrush current from fault current, the paper puts forward a kind of new principle of transformer differential protection after analyzing the characteristic of magnetizing inrush and active power consume of transformers. this protection uses differential protection based on positive sequence active power as a criterion to discriminate internal faults from magnetizing inrush, and ratio restraint differential current protection as a signal to touch off the protection

    針對當前電力系統中變壓器保護由於勵磁涌流鑒別理論不完善而導致的誤動率相對較高的問題，論文在分析了變壓器勵磁涌流特性和有功損耗的基礎上，提出了用變壓器正序有功功率差動作為區別勵磁涌流和故障電流的判據，並以成熟的比率制動差流保護作為內外部故障判據的變壓器主保護。
  6. The time - frequency of the wavelet transform and the signal wavelet decomposition - reconstruction algorithm based on the multi - resolution analysis are analyzed. the signal local singularity under the wavelet transform are studied. the difference between between mallat ' s maximun modulus algorithm and donoho ' s waveshrink algorithm are analyzed, too. the denoise effect of different threshold and threshold function are studied. base on compare the advantage and disadvantage of donoho & johnstone threshold and believing - region threshold, a modified algorithm is developed : combining threshold distinguishing and shield filter method

    討論了基於mallat理論最大模數方法以及基於donoho理論的閾值萎縮去噪方法的差別，研究比較了不同閾值規則與閾值函數對去噪效果的影響；在此基礎上，結合統一閾值和置信區間閾值各自的優缺點，提出閾值判別和屏蔽濾波相結合的方法。
  7. Acoustic excitation signal is processed with wavelet analysis in this paper, and chooses characters related to adhesive capacity from acoustic signal in the time domain and frequency domain. these characters is the input of nerve network which is used to non - mangle test about mechanics capacity of adhesive structure, and establish the base for classify distinguishing effectively and forecast

    本文採用小波變換的方法對採集到的聲激勵信號進行分析，在時-頻域提取出與粘接性能有關的特徵量，用於粘接結構力學性能無損檢測的神經網路輸入，從而為有效進行分類判別和預報奠定了基礎。
  8. Wavelet transform is a wonderful method, which have adjustable resolution in time and frequency fields leading to more subtly analysis for a signal segment. it works in a good pattern according with the rule of human ears distinguishing frequencies from voice. for stft having inevitable disadvantages in analysis of unstable signal such as speech signal, as a result of study on wavelet theory and speaker recognition techniques, two feature parameters, iwptc ( incomplete wavelet packet transform coefficients ) and wptc ( wavelet packet transform coefficients ), are got based on wavelet transform

    針對短時傅立葉分析在提取說話人特徵參數時的缺陷，本文通過對小波理論和說話人識別技術的研究，借鑒了一種傳統的基於聽覺機理的特徵參數mfcc （ mel頻域倒譜系數） ，利用小波變換、小波多分辨分析和小波包變換，構造出了兩種基於小波變換的說話人識別特徵參數： iwptc （不完全小波包變換系數）和wptc （小波包變換系數） 。
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