噪聲自相關 的英文怎麼說

中文拼音 [zàoshēngzìxiāngguān]
噪聲自相關 英文
noise autocorrelation
  • 噪 : 動詞1. （蟲或鳥叫） chirp 2. （大聲叫嚷） make noise; make an uproar; clamour
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 相 : 相Ⅰ名詞1 （相貌; 外貌） looks; appearance 2 （坐、立等的姿態） bearing; posture 3 [物理學] （相位...
  • 關 : Ⅰ動詞1 （使開著的物體合攏） close; shut 2 （圈起來） shut in; lock up 3 （倒閉; 歇業） close down...
  • 相關 : be interrelated; be related to; be bound up with; correlation; dependence; relevance; mutuality
  1. Noisy chinese speech recognition based on linear prediction of one - sided autocorrelation sequence

    基於單邊自相關線性預測噪聲中漢語語音識別
  2. The result of experiments show that resynthesized speech signals form the its correlogram by auditory model inversion is nature and robust in noisy environment

    實驗結果表明，我們通過聽覺模型反演從信號的自相關圖譜中恢復出的語音信號，具有較好的自然度和良好的噪聲魯棒性。
  3. This method uses two spatially separated receiving equipment. cross correlation of the two outputs will therefore yield the auto correlation function ( acf ) of the signal, plus noise which is spread uniformly over the whole width

    該演算法採用空間上分離的兩路接收設備，通過對包含同一個信號的2個輸出信號互相關，得到信號窄自相關函數（ acf ）和在整個帶寬里均勻分佈噪聲成分。
  4. Two detection methods of chirp signals are presented in the dissertation : the cyclic autocorrelation detection method and the correlation detection method of cyclic autocorrelation function. it is shown that the two methods both have an excellent performance of blind detection. the performance analyses of the two detection methods are both carried out for additive noise or multiplicative noise, and the output signal - to - noise ratio ( snr ) expressions of the two methods are also derived

    通過研究提出了兩種線性調頻信號的檢測方法?基於循環自相關函數包絡的檢測方法和基於循環自相關函數的相關函數包絡的檢測方法，兩種方法均可實現信號的盲檢測，有良好的檢測性能，文中還分析了加性噪聲及存在乘性和加性噪聲情況下兩種檢測方法的性能，推導出了輸出信噪比公式。
  5. Because the adaptive algorithm of conventional adaptive noise canceller is the least mean squares ( lms ), and the convergence rate of lms is heavily dependent on the eigenvalue distribution of the autocorrelation matrix of the input signal, thus lms converges at unacceptably low rates when the input signal is colored noise or speech

    由於傳統自適應噪聲抵消系統（ anc ）自適應演算法主要採用lms演算法，而lms演算法收斂速度依賴于輸入信號自相關矩陣特徵值的分散程度。因此，當輸入信號是語音或有色噪聲時， lms的收斂速度很慢。
  6. Time delay was chosen by using autocorrelation function method and mutual information method, while reconstruct dimension was obtained by g - p saturation correlation dimension method and false nearest neighbor percentage method. furthermore, initial neighborhood radius was computed by the estimated noise level based on the g - p saturation correlation dimension method. secondly, a noise reduction of the inflow time series was carried out by chaotic nonlinear local projection noise reduction method, and the effects on noise to chaotic characteristics and state reconstruction parameters were discussed

    採用g - p關聯維法計算關聯維數； rosenstein法和kantz法計算最大lyapunov指數；重構相空間的延遲時間採用了自相關函數法和互信息量法；嵌入維數採用了飽和關聯維法和偽鄰近點法；初始領域半徑的選取採用了基於g - p關聯維法的噪聲水平的初始估計方法。
  7. Then, sage adaptive filtering usually used in kinematic gps navigation and positioning and its shorcoming are analyzed. the weights of measurement residuals and state correction residuals are modified according to the self - correlation property of colored noise and robust estimation. the procedure of weighte d prediction of covariace matrix not only resists the influence of outlying kinematic model errors, but also controls the effects of measurement outliers

    然後，分析了目前常用於有色噪聲處理的sage自適應濾波及其在動態gps導航定位應用中的缺陷，並依據有色噪聲的自相關特性和抗差估計調整觀測殘差和狀態改正數的權比，再通過加權預報控制殘留在其中的異常對協方差矩陣自適應估計的影響。
  8. The autocorrelation function of the pn code is similar to that of the white noise, which has the randomicity. the pn code phase modulation fuze just works on the basis of this characteristic. the fuse, having excellent cut - off performance of the distance and strong anti - jamming capability, is one of the radio fuze of the predominant performance

    偽碼引信是利用偽隨機序列的自相關函數類似於白噪聲相關函數的隨機特性而工作的，這種引信距離截止特性好，抗干擾能力強，是一種性能優越的無線電引信。
  9. And in allusion to the shortcomings on the fitting of noises by least square, a new procedure is presented to modify the estimations of model parameter of the noise. it can control the effects of the correlation noise of except for first order self - correlation noise. using the model the error of gps / ins integrated navigation system is estimated

    再次，針對卡爾曼濾波方程的前提條件不滿足而影響導航系統的精度的問題，應用時間序列分析理論提出了一種改進的噪聲模型參數估計演算法，對此演算法進行建模，模擬結果表明，該演算法能有效的控制一階自相關特性以外的噪聲對參數模型估計的影響，提高卡爾曼濾波精度。
  10. And then, the esprit bearing estimation problem. is reformulated using fourth - order cumulant matrices instead of auto - correlation matrices. by doing so, the fourth - order cumulant matrices of additive colored gaussian noises can be suppressed

    在此基礎之上，將esprit方法擴展到四階方法，用四階累積量矩陣代替自相關矩陣，實現對加性有色高斯噪聲的抑制，提高演算法的估計精度。
  11. This paper tests by examining the autocorrelations of the daily returns. neither public information nor private information will generate significant serial correlation,

    公共消息和私有信息不能促使股票收益產生明顯的自相關，然而若交易噪聲存在，則股票收益應該是自相關的。
  12. For the issue of blind parameter estimation of dsss / bpsk signal damaged by strong additive white gaussian noise ( awgn ), this dissertation mainly researches on carrier doubler method ( cdm ), auto - correlation method ( acm ), delay - and - multiply ( dm ) method and fourth - order cumulant 2 - d slice method

    針對受強高斯噪聲污染的dsss / bpsk信號對抗技術中的盲參數估計問題，本文著重研究了平方倍頻法、時域自相關法、延遲相乘法三種常規的單參數估計法以及四階累積量2 - d切片多參數估計法。
  13. The time - domain filter can then be used to select the narrow central portion of the cross correlation function ( ccf ), capturing virtually all of the signal but rejecting most of the noise

    對相關函數進行時域濾波，挑選出互相關函數中窄信號自相關函數部分，去掉剩餘的大部分噪聲能量，得到加窗互相關函數（ ccf ） 。
  14. Based on the characteristics, an auto - correlation function method is obtained to estimate fractal dimension

    研究離散高斯噪聲的自相關函數的性質。
  15. There are difficulties in noisy speech recognition, especially low signal - to - noise rations are more difficult. this paper describes briefly six methods for speaker - dependent noisy speech recognition isolated words. they are lpc prediction error method, one - side auto - correlation sequence lpc, acoustic front end processing, canonical correlation based on compensation method, combination of features method and increase of poles method. the experimental results show that all the six techniques can improve effectively noisy speech recognition, and the best noisy speech recognition rate is above 80 % when snr 0db

    它們是：線性預測誤差法，單邊自相關線性預測法，語音前端聲學處理法，正則相關分析的譜變換補償方法，特徵綜合法和同模極點增加法。實驗結果表明，這6種方法都有效地提高了噪聲環境中語音識別率，其中較好的方法在強噪聲環境中信噪比為0db的語音識別率達到80 %以上，為信噪比較低的噪聲環境中自動語音識別展現了美好前景。
  16. We consider a causal, stationary, autoregressive, moving average [ arma ( p, q ) ] process with heavy tailed noise variables. we develop the definition of the inverse autocorrelation function, and obtain the g - spectral estimator of the inverse autocorrelation function

    本文基於噪聲序列具有重尾分佈的因果、平穩自回歸滑動平均[ arma （ p ， q ） ]過程，給出了其逆自相關函數的定義，並且給出了逆自相關函數的g -譜估計。
  17. This paper introduced that how resynthesize the neural firing rate by correlogram inversion, how resume the lost information by half wave rectification inversion. and a solution of speech enhancement based on masking properties of human auditory is proposed and implemented, we can not only analyse and resynthesize speech signal, but also analyse and resynthesize speech signal in noisy entironment with the system

    介紹了如何從信號的自相關圖譜中逆變換中得到信號的神經發放率函數，怎樣從信號的半波整流逆變換中恢復丟失的信息等等。又根據聽覺生理特點提出了抗噪聲方案，使我們的語音分析重構系統不僅可以對無噪信號進行重構，而且還可以在噪聲環境下的語音信號進行重構。
  18. 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。
  19. The results of the experiment show that the peak value, rms, standard deviation, crest factor, kurtosis value and impulse value of the vibration signals can distinguish between the normal and abnormal conditions of the ball bearing when the level of noise is low

    常用包絡解調技術對此類信號進行分析，但易受噪聲影響，使得齒輪或滾動軸承的故障特徵難以凸顯。本文從研究相關函數的特性入手，經理論證明，發現自相關函數並不改變調制信號的調制特徵，但具有顯著的降噪特點。
  20. Finally, in allusion to the shortcomings on the fitting of colored noises by least square, a new procedure is presented to modify the estimations of model parameter of the colored noises. it can control the effects of the correlation noise of exept for first order self - correlation noise

    最後，針對有色噪聲最小二乘擬合在動態gps有色噪聲模型參數估計中存在的問題，應用時間序列分析理論提出了一種有色噪聲模型參數的改進演算法，有效地控制了一階自相關特性以外的相關噪聲對模型參數估值的影響。
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