noise equalization 中文意思是什麼

noise equalization 解釋
噪聲均衡
  • 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〉...
  • equalization : n. 相等；均等；平均。 equalization of landownership 平均地權。
  1. This article introduces gray image processing technology. firstly, in order to eliminate noise, optimize image and get precise edge feature, a series of preparations can be done to fracture image such as histogram equalization, binarization, edge enhancement, and so on

    本文採用灰度圖像處理技術，首先對疲勞斷口圖像進行直方圖均衡化、二值化、邊緣增強等預處理來消除噪聲，優化圖像，以得到精確的邊緣特徵。
  2. However, adaptive equalization technique can decrease the effect of isi and noise, reduce the bit error ratio and trace time - changing channel

    而自適應均衡技術可以降低碼間干擾和噪聲的影響，減少誤碼，並能夠跟蹤時變通道，解決時變波形的嚴重失真問題。
  3. For example, the general method removing interference is equalization in gaussian noise with additive inter - symbol interference, that may lead to phenomenon of erroneous code increment

    例如，對于高斯噪聲迭加碼間干擾，一般採用均衡法解擾，會產生誤碼增值現象。
  4. Finally, a new approach combining equalization and adaptive equalization with ldpc decoding are proposed to combat the intersymbol interference ( isi ) and channel noise

    最後，針對噪聲干擾和碼間串擾問題，研究了ldpc碼組合均衡技術以及組合自適應均衡技術。
  5. In the process of gathering image, it must produce noise, otherwise, we focus on the image character that we are interested in when we do it ; so we should use the technology of histogram equalization of image, windows conversion, removing noise by smoothness and filtering to enhance the image

    將人工檢測得到的圖像進行圖像預處理，將32位真彩色圖像轉化成灰度圖像。降低了數據童，加快了圖像處理速度。應用圖像的直方圖均衡、窗口變換、平滑去噪、濾波等處理技術對圖像進行去噪和增強，得到本研究所需要的圖像特徵。
  6. Frequency - domain equalization. at the same time discusses some key problems in ofdm : high ratio of peak - to - average power of output signals, problem of synchronization, channel estimation, adaptive bit, power and subcarrier allocation. emphasize on channel estimation, and present a new algorithm which can filtering more interpolation errors and noise. for the sake of improve the performance of resist narrowband noise and make efficient use of the spectrum apply malvar wavelet division

    同時就ofdm系統中的一些關鍵問題如峰值平均功率比（ papr ）太高，同步問題，通道估計，通道、比特與功率必須動態分配進行了研究，著重研究了通道估計問題並提出一種改進的方法，能濾除更多的噪聲分量和插值誤差，提高系統的性能；為了提高抗窄帶噪聲的性能和提高通道利用率，用malvar小波變換實現了不等帶寬分配。
  7. In mobile communication and high - speed wireless digital communication, multi - path, the finity of channel bandwidth and faultiness of the channel, lead to the bringing of intersymbol interference ( isi ) when data transfer. this is an important factor that degrades the performance of communication. however channel equalization technique can eliminate the isi and noise, it can also reduces the bit error ratio

    在移動通信及高速無線數據通信中，多徑效應和通道帶寬的有限性以及通道特性的不完善性導致數據傳輸時不可避免地產生碼間干擾（ isi ） ，成為影響通信質量的重要因素，而通道的均衡技術可以消除碼間干擾和噪聲，並減少誤碼率。
  8. Then the research of image enhancement based on of plateau equalization algorithm and genetic algorithm is done then in this chapter. image segmentation with algorithm of 2d - maximal variance between - class and region growing is accepted to eliminate the background and the isolated noise points which can not be the target

    論文在紅外目標檢測方面，以對經過預處理的圖像進行分割為切入點，採用二維類間方差法和局域生長法來進行圖像的分割，消除了原始圖像中一些不可能為目標的孤立噪聲點和大面積的背景區域。
  9. To overcome the affection of ici and awgn on the ls estimate of the transfer function at pilot tones, the proposed bispectrum - based channel estimation algorithm employ the suppression of ici and awgn components in the received pilot signals by bispectrum and then the accuracy of the estimation is improved. with the channel estimation at pilot tones, an efficient interpolation is necessary. an improved interpolation method based on transform - domain filtering is proposed, which employs dft / idft and filtering in a transform domain so that the effect of noise on the equalization is significantly reduced

    針對導頻處通道傳遞函數的ls估計中存在載波間干擾和加性高斯白噪聲的影響的這一問題，本文將傳統的ls估計方法與雙譜相結合提出了一種新型的基於導頻雙譜通道估計演算法，它利用了雙譜對高斯噪聲的抑制作用來減小接收到的導頻信號中的載波間干擾和加性高斯白噪聲的影響，從而提高了導頻子載波上通道估計的精度。
  10. This method was divided into 4 steps : wiping out random noise by mean filter, reducing gaussian noise by gaussian filter, balancing brightness difference between stereo image pair through histogram equalization, and enhancing image edges and details by laplace sharpness

    此方法分為4個階段：用均值濾波去除隨機噪聲；用高斯濾波去除高斯噪聲；用直方圖均衡化法平衡立體圖對間的亮度差異；用拉普拉斯銳化增強圖像的邊緣和細節。
  11. The proposed algorithm lows the complexity by choosing decision delay in advance and then making solution of the equalizer tap coefficient, a new decision delay choice method is proposed, solution by using weight method, diagonal matrix transform, z extension and a new energy restrictive condition which restrains noise enhance, a new decision delay choice method is proposed, the simulation result shows that the proposed algorithm has better equalization effect and enhanced performance comparing to the general mmse algorithm, simulation research on the precision and dynamic scope of parameters in digital realization time domain equalization algorithm, design software and hardware of time domain equalizer. fourthly, there exist a lot of interfere in dsl line, especially, dsl works in multi - user mode, the near end interference is serious

    通過先選擇判決時延，再進行時域均衡器抽頭系數求解的方法降低了時域均衡計算復雜度；對于均衡器抽頭系數的求解使用了加權技術，通過對角矩陣變換， z擴展，使用不同的能量約束條件對演算法求解，結果表明這種約束有效的抑制了噪聲增強，與常用刪se比較，該演算法有更佳的均衡效果，演算法性能得到了提高：論文還對數字化實現時域均衡演算法中每一部分參數的精度、變量的動態范圍進行了模擬研究，對時域均衡的軟硬體實現進行了設計。
  12. In this case, time domain equalization algorithm based on channel estimation will influence equalization effect if choosing noise sensitive algorithm to estimate channel, so it is necessary to adopt an anti - noise and high estimation precision estimation algorithm. in this dissertation, a new time domain equalization algorithm based on low rank hankel approximati

    Dsl線路實際工作環境存在各種干擾，尤其當多用戶時，串音干擾很嚴重，對于採用基於通道估計的時域均衡演算法，如果使用對噪聲敏感的演算法進行通道估計，必然影響均衡效果，因此需要採用具有抗噪聲，估計精度高
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