noise environment 中文意思是什麼

noise environment 解釋
噪聲環境
  • noise : n 1 聲音，聲響。2 叫喊；嘈雜聲，噪音；喧鬧聲；吵鬧，騷動，騷擾。3 〈古語〉謠言，風聲。4 〈美國〉...
  • environment : n. 1. 周圍，圍繞。2. 圍繞物；環境，四周，外界。3. 環境藝術作品；環境戲劇（cf. environmental art）。
  1. Form that measurement environment noise, if the building return the not yet finished work, then seek the warm air, airiness and air condition hvac engineer, want them with the appearance to expect the environment noise worth

    測定環境噪音，如果建築還未完工，則找暖氣，通風與空調hvac工程師，要他們以畫面的形式預期環境噪音的值。
  2. A 3d fiducial - referential un - esprit algorithm suitable for joint azimuth - elevation - carrier estimation in unknown noise environment

    未知噪聲背景下的波達方向及載波頻率三維聯合估計方法
  3. One is recommended by the chinese transportation ministry and is specified in " assessment criteria for environmental impact from road construction projects, jtj005 - 96 " ( to be referred as prediction model from transportation ministry ). the other is recommended by the national environmental protection bureau and is published in " the general guidelines for environmental assessment technologies ? ound environment, hj / t2. 4 ? 995 ". this model is the high way noise prediction model from the united states federal high way authority ( fhwa )

    本論文針對當前我國道路交通噪聲預測中應用得極為廣泛的兩種模式：我國交通部在《公路建設項目環境影響評價規范（試行） （ jtj005 ? 96 ） 》推薦的模型（以下簡稱為交通部預測模型）和國家環境保護總局發布的《環境評價技術導則?聲環境[ hj t2 . 4 ? 1995 ] 》推薦的美國聯邦公路管理局（ fhwa ）公路噪聲預測模型（以下簡稱為fhwa預測模型） ，在進行預測時的比較研究。
  4. The refinements made to the original methodology are based upon not only the abroad new research about noise evaluation, but also upon the thought of the domestic base of current noise evaluation. the procedure involves not only considering the noise sound pressure level, but also considering the speech interference level and noise spectrum balance problems, which offer enough information about building noise environment for engineer and owner

    該評價方法借鑒了國外在噪聲評價方面最新的研究成果，同時也考慮了國內目前的噪聲評價狀況，該方法不僅僅考慮了噪聲聲壓級一個因素，同時還考慮了語言干擾級，以及噪聲頻譜的平衡性等問題，給工程人員以及建築業主提供了建築聲環境方面充足的信息，這是很有意義的。
  5. Suggesting that the sensitivity of ic neuron to intensity change was weaker under the quiet conditions than the noise environment. it makes benefit to catch the rapid intensity fluctuations, which are thought to be important information - bearing parameters for signal processing, in human speech of " cocktail party effect " and specific communication signals of other species

    盡管弱噪聲抑制使神經元感受強度的范圍縮小，但對強度變化的敏感性卻提高，這對人在「雞尾酒會」場景下的言語交流和動物在充滿噪聲的自然環境中的聲通訊，捕捉重要的信息載體參數一信號強度以及感受強度的動態變化的能力提供了生物學基礎和演化適應的證據。
  6. Effects of precision directional imaging on speech discrimination score under noise environment

    智能方向性技術對噪聲環境下言語識別率的影響
  7. An algorithm for weak signal detection in strong noise environment

    一種強噪聲背景下的微弱信號檢測的新方法
  8. Based on fourth - order cumulant, a computationally efficient method for joint estimating both directions of arrival and ranges of near field sources with known carrier frequency is firstly presented. the proposed algorithm need not any spectral peak searching and the 2 - d parameters are automatically paired. lt is suitable for arbitrary additive gaussian noise environment. in the following section, a 3 - d esprit method for jointly estimating of frequencies, doa ' s and ranges of multiple near - field sources with unknown carrier frequencies is proposed. the parameters estimation are given by the eigenvalues of different matrices. furthermore, its performances are confirmed by several computer simulations

    利用四階累積量，第五章首先給出了一種載頻已知的情況下基於近場源的距離和波達方向聯合估計演算法，通過構造的陣列輸出信號四階累量矩陣使空間信號到達方向和距離估計無需譜峰搜索，且參數自動配對，適合於任意高斯噪聲環境。進一步在第三節提出了一種載頻未知的情況下的多個近場窄帶信號源doa 、距離和頻率聯合估計的3 - desprit演算法。
  9. Screened - ratio - principle - based doa estimation algorithm in impulsive noise environment

    信號到達角的快速估計演算法研究
  10. Pattern recognition and fault diagnosis based on the rough sets theory and neural networks is studied in this dissertation. rough set theory in the noise environment and in the real region is generalized, and as the sametime, the methods of combine rough set theory with neural networks are proposed. the main contents of the dissertation are organized as follow : at first, a relation of nearness instead of indiscernibility is proposed for increasing the robustness of decision system which consists of noise pollution data

    論文運用粗糙集理論與神經網路方法進行了模式識別和故障診斷方面的研究，對在噪聲下和實數領域的粗糙集模型進行了擴展，研究了粗糙集與神經網路的多種集成應用方法，全文的主要內容如下:首先，論文針對經典粗糙集理論中的不可分辨關系對連續屬性值中噪聲數據缺乏容錯性的情況，提出一種相近關系代替不可分辨關系，並用不同的值調節相近關系中可接受的相近程度，限制了可冗餘的范圍。
  11. Simulation results indicate that the proposed algorithm provides better performance in the impulsive noise environment than that of aed algorithm

    計算機模擬表明該方法在脈沖噪聲環境下具有較好的魯棒性。
  12. 4. both cia and time - frequency analysis ( tfa ) are applied to the detection of the radar target in strong noise environment. these methods possess better detection ability than conventional constant false alert ratio ( cfar ) method

    將復像分析應用於雷達目標的弱信號檢測，將常規的基於恆虛警檢測方法無法檢測到的目標利用復像分析方法檢測出來，在一定程度上提高了雷達的檢測能力。
  13. It is concluded that the primeval design of hv ' ac system decide that the building noise environment is good or bad. as to say how to resolve the six sides problems : machine noise, machine vibration, fan noise, duct noise, draft noise and cross - talk noise

    我們認為：建築（使用hvac系統）聲環境的好壞取決于hvac系統初期的設計，也就是如何解決好機械噪聲、機械振動、風機噪聲、管路噪聲、氣流噪聲以及管路交互傳遞噪聲這六方面的問題。
  14. Autoregressive model - based robust speech recognition in additive noise environment

    基於自回歸模型的加性噪聲環境穩健語音識別
  15. There are other two merits of melp algorithm, the lower operating complexity which makes it can be easily transplanted into dsp system, and the adaptive ability in serious noise environment

    該演算法的計算負載小，對嚴重背景噪聲也有很強的堅韌性，能夠很好的移植到dsp系統中，因此具有廣泛的應用前景。
  16. Follow up the environmental improvement measures identified and recommended by cts - 3 under their respective areas in the transport planning context, and those identified as possible environmental measures which might be considered to further improve the air quality and noise environment

    跟進本研究就各運輸規劃范疇所擬訂及建議的環境改善措施，以及其他可予考慮以進一步改善空氣質素及減少噪音的環境措施。
  17. Detection of signal in noise environment is one apply of wvd and xwvd. under different snr, compare these two ways and the traditional detection method - match filter detector

    研究了信號的檢測問題，介紹傳統的檢測方法?匹配濾波器，以及基於時頻分析的信號檢測? wvd 、 xwvd的方法。
  18. This thesis researches the signal stream detection in strong background noise environment

    本論文研究的是強噪聲背景下信號流檢測。
  19. 4. dsss signal buried in the intensive noise environment is first detected successfully using duffing oscillators

    對此均作了詳細的理論分析，計算機模擬驗證了該方法的有效性。
  20. How to keep performance of the systems not dropping in a situation that the noise environment changes, further research and practice is necessary

    如何在噪聲環境發生變化的情況下保持系統性能不下降，將需要進一步的研究和實踐。
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