noise power spectrum 中文意思是什麼

noise power spectrum 解釋
噪聲功率譜
  • 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〉...
  • power : n 1 力，力量；能力；體力，精力；（生理）機能；〈常 pl 〉才能。2 勢力，權力，權限；威力；政權；權...
  • spectrum : n. （pl. -tra ）1. 【物理學】譜，光譜；波譜；能譜，質譜。2. 【無線電】射頻頻譜；無線電（信號）頻譜。3. 【心理學】（眼睛的）余像；殘像。4. 〈轉義〉范圍，幅度；（連續的）系列。
  1. The power spectrum of white noise and the diagnosis of work conditions in the random process

    隨機過程的白噪聲功率譜及工況診斷
  2. The nonlinear filtering for nbi estimate - subtract assumes that the prediction error is dominated by spread spectrum signal and the background noise power is far below spread spectrum chip power, this assumption promises the low error ratio of chip decision but may not be attainable to digitalized dsss receiver in military communication environment, and does not coincide with the principle of dsss communication that decreases bit error ratio ( ber ) depending on spread spectrum gain, not on chip power

    在干擾估計抵消濾波中，以往的非線性濾波要求干擾抵消濾波后擴頻信號功率遠大於殘余噪聲功率，進而假設碼片判決的誤碼片率基本為零，這一要求對軍用擴頻通信是不利的，而且也不符合擴頻通信利用擴頻增益降低誤碼率的原則。
  3. Firstly it discusses the value, meaning, background and method of this topic. then it deducts the single - bubble sound pressure, spectrum of sound pressure, power spectrum. according to the real situation of traveling bubble cavitation noise around a schiebe body, the mathematical model of single - bubble collapse is selected, furthermore, the mathematical model of mass traveling bubbles without interference effect is established, and the multi - peaks and rebound phenomenon while bubbles collapse is also analyzed with statistical method

    首先論證了本項研究的意義，價值，背景和方法，然後推出了單空泡輻射噪聲聲壓，聲壓譜和功率譜，針對回轉體流動泡空化噪聲的具體情況，選擇了雙指數模型作為單空泡潰滅的數學模型，進一步建立了無干涉條件下的群泡輻射噪聲的數學模型，並用統計的方法分析了空泡潰滅時的多峰值和反彈現象。
  4. In the paper, we describe the whole configuration of the joint transform correlator ; introduce the correlative theories of joint fourier transform in detail ; in order to achieve better correlation result, the nonlinear processing of joint transform power spectrum ( jtps ) is put forward, the effect of jtps laplace sharpening and binary processing to the correlation image is given ; the method of the best binary threshold is determined ; we analyse the correlation image, present the way that removes liquid crystal diffraction spot, direct current spot and image noise, and binarize the correlation image finally

    本論文主要對提出的聯合變換相關的整體結構進行了描述；詳細介紹了聯合傅里葉變換的相關理論；為了得到更好的相關結果，本文提出對聯合功率譜進行非線性處理的方法，給出了聯合變換功率譜的拉普拉斯銳化和譜的二值化處理對相關峰圖像的影響及二值化最佳閾值的確定方法；對相關峰圖像信息進行了分析；提出了消除液晶衍射光斑、直流光斑和圖像噪聲的方法；最後對相關峰圖像進行了二值化處理。
  5. Secondly, the paper researches blind estimation of signals parameters, including the carrier frequency, signal to noise ratio and symbol rate of digital modulations. thirdly, with the combination of parameters from early studies on the decision theory, a set of robust feature parameters are extracted from signal power spectrum and the power spectrum of the second and fourth power of signal. based on these parameters, the proposed scheme is able to recognize 12 types of common used modulations, namely ask 、 2fsk 、 msk 、 4fsk 、 psk 、 qpsk 、 / 4qpsk 、 8psk 、 am 、 dsb 、 ssb 、 fm

    接著，對信號功率譜、平方譜及四次方譜進行研究，針對通信中常用的調制方式，結合前人提出的基於決策理論中的特徵參數，設計了一組對信噪比和信號調制參數不敏感的分類特徵參數，利用上述參數完成了一種基於信號頻域的識別方法，可以對ask 、 2fsk 、 msk 、 4fsk 、 psk 、 qpsk 、 / 4qpsk 、 8psk 、 am 、 dsb 、 ssb和fm這12種常用調制方式進行識別。
  6. Chaotic switching modulations introduce low - frequency harmonic spectrum of output voltage as random switching modulation. in some case, low - frequency noise ripple offset the effect chaotic switching modulations reduce the level of emi. it indicates that the ccfmfd integrates the advantages of spreading harmonic power at the multiples of the switching frequency and not introducing significant noise ripple at low - frequency range. among all chaotic switching modulations, the ccfmfd is considered as the best choice in applying to dc / dc converter

    與隨機調制模式相同，混沌開關調制模式也引入輸出低頻噪聲紋波，有些情況下低頻噪聲紋波可能抵消混沌開關調制降低emi水平的效果。分析表明： ccfmfd模式具有較好的降低emi水平和引入較小低頻紋波的優點，可以作為混沌調制模式較佳的選擇。
  7. Simultatly, based on the vaviaction of seismic signal - noise ratio, the anthor use the funtion singular method in the seismic data procesy and put forward the wavelet amplitude singular exponentid method and the wavelet power spectrum singular exponential for the fractued density detection

    與此同時，將函數奇異性分析的思想引到地震信號處理中來，針對地震信號信噪比的高低，提出小波振幅奇異性指數法和小波功率譜奇異性指數法的裂縫密度檢測方法。
  8. So, both 1 / f noise power spectrum measurement and similarity coefficient extracted from its time series can offer economical, effective and indestructible tool to detect the latent damage induced by esd and hci for mosfets

    因此，無論是1 / f噪聲功率譜的測試還是由其時間序列提取得到的相似系數均可以作為經濟、有效、完全非破壞性的工具，替代傳統的電特性用於檢測靜電引起的mos器件潛在損傷以及熱載流子注入損傷。
  9. 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。
  10. Phase noise power spectrum density

    相位躁聲功率頻密度
  11. In the end of this chapter, the power spectrum density ( psd ) analysis of hrg is given, which shows that the main noise of hrg is low frequency noise

    論文還對陀螺信號進行了功率譜密度分析，分析結果表明陀螺的主要誤差都集中在低頻段。
  12. This paper also show a rough estimate of the gains of this array, because it needs one year ' s data to collect one year ' s noise correlation variation curves and then give a more practical detection ability of the seismic array. one result of this paper is " seismic array site survery data processing software " exploited by the author. the software can calculate the power spectrum of noise for every site, noise coherence function for every site pair, the cross - correlation curves, the root mean square of noise for every site and the array response

    此外還計算了該臺陣的臺陣響應，發現臺陣響應的主瓣高而尖；旁瓣很小，這歪姐鈕遠宣腔撾踏數公鍍壁韶逼上攏唆精確啻應：有關此臺陣的檢測能力，只能給出一個粗略的估計，因為評價一個臺陣對地震事件的檢測能力需要獲得為期一年的觀測資料，才能給出一年內噪聲場變化的相關值曲線，最終給出更加符合實際的臺陣檢測能力。
  13. It is shown that the pump parameter and intensity noise correlation time are the major factors of the first - order - like transition. angular noise correlation time has great influence on the linewidth in the power spectrum

    研究結果表明，抽運參量和噪聲相關時間是激光系統出現一級相變類比的關鍵因素，角噪聲相關時間對強度譜分佈中的線寬影響較大。
  14. Welch, 1967 ), the author calculated noise power spectrum of every site to see if the noise level of the array site accord with ims standard ( the noise level at 5 hz must lower than - 135db ), and the result suggest that the noise level accord with the ims standard. to find out the principle of noise ' s variation, the root mean square of every site had been calculated and analysised, the result show that several sites had obvious daily variation which is relevant to the tv transmittion tower on the top of dajianshan

    Welch ， 1967 ）對臺陣陣址各測點的噪聲功率譜進行了計算與分析並對各測點的噪聲均方根值做了計算，結果表明臺陣的背景噪聲達到了ims要求的標準（即在5hz處噪聲功率譜要小於- 135db ） ，多數測點的噪聲有明顯的日變化規律，這與大尖山頂的tv發射塔有關。
  15. Abstract : this paper first discusses the optimum method of feature choice in the fuzzy recognition of tank under the condition of different noise source interference. then, through quantitative analysis of the peak features of power spectrum and auto - correlation spectrum, it analyzes and contracts the recognition effects of tank under the condition of multi - source interference. finally, it gives the profitable results

    文摘:對不同聲源干擾條件下坦克識別的特徵優選方法進行了深入的研究和探討，在此基礎上，通過雙譜譜峰特徵的定量分析，對多源干擾時的坦克識別效果進行了分析對比，得出了有益的結論。
  16. This paper first discusses the optimum method of feature choice in the fuzzy recognition of tank under the condition of different noise source interference. then, through quantitative analysis of the peak features of power spectrum and auto - correlation spectrum, it analyzes and contracts the recognition effects of tank under the condition of multi - source interference. finally, it gives the profitable results

    對不同聲源干擾條件下坦克識別的特徵優選方法進行了深入的研究和探討，在此基礎上，通過雙譜譜峰特徵的定量分析，對多源干擾時的坦克識別效果進行了分析對比，得出了有益的結論。
  17. Its power spectrum is similar to gauss white noise. the similar random correlativity is good

    其類似白噪聲的功率譜，良好的類隨機相關特性，具有應用於擴頻通信的潛力。
  18. To simulate return accurately, we set several models as follows : target radar cross section ( rcs ) model, target antenna modulating model, target wave modulating model, noise model, clutter amplitude distributed model and power spectrum distributed model. each of these models has been analyzed and simulated

    分別建立了目標截面積起伏模型、目標天線方向圖調制模型、目標波形調制模型、噪聲模型、雜波幅度分佈和功率譜分佈模型，對每種模型的建立進行了分析和模擬。
  19. 2 ) evaluation of robustness against noise removal attack. by analyzing the mathematical models of noise removal attack, we deduce some indexes for robustness evaluation defined in frequency domain, power spectrum and locally variances of difference images. 3 ) evaluation of the detectability of lsb information hiding algorithm

    考察了密信信號隱藏后差值圖象的頻域特性、功率譜特性和局部方差分佈特性，建立了頻域特性與線性濾波攻擊效率、功率譜特性與維納濾波攻擊效率、局部方差分佈特性與最大后驗估計攻擊效率之間的關系。
  20. First, the return signal model is set up. the target return signal, clutter which has gauss power spectrum and noise of the receiver are included

    首先討論回波信號的生成，包括斯威林模型目標回波信號，接收機噪聲以及具有高斯功率譜的雜波模型。
分享友人
分享到 Line

分享到臉書