閾值信噪比 的英文怎麼說

中文拼音 [yùzhíxìnzàobǐ]
閾值信噪比 英文
threshold signal-to-noise ratio
  • 閾 : 名詞1. [書面語] （門坎兒） threshold; doorsill2. （界限; 范圍） threshold
  • 噪 : 動詞1. （蟲或鳥叫） chirp 2. （大聲叫嚷） make noise; make an uproar; clamour
  • 比 : Ⅰ動詞1 （比較; 較量高下、 長短、距離、好壞等） compare; compete; contrast; match; emulate 2 （比...
  1. Output can be obtain, next we use our designed the wavelet soft threshold to select result of the wavelet transform, finally, we give the selected result reversal wavelet transform. it is obvious : the wavelet soft threshold is important to improve the quality of the gray image processing. i give the donoho wavelet soft threshold a modified value method, which has a relation with ratio of signal - noise. i made full use of discrete hop field single feedback neural network, and nonlinear steady of automatic system at last, i obtained a steady limited ring, give the energy function an order differential a optimal

    我的思路是：改造現有圖形結構，先建立能反映信噪比大小且含待定參數k的表達式，然後通過離散型h0pfi舊單層反饋神經網路，再結合前邊的混合濾波器構成一個非線性控制系統，寫出對應的網路函數，利用相平面法和李雅普諾大穩定性的判據，得到一個穩定的極限環，從而確定出參數卜的范圍，進而再對原來的小波軟閾值進行修正，用修正後的值作為小波閾值。
  2. That is, using a soft thresholding to remove noise components from the wavelet coefficients of the voiced and unvoiced speech in noisy speech respectively in a different way, which is not only removing noise but also is preventing the quality degradation of the unvoiced sounds and enhancing the signal - noise ratio

    該方法採用軟限幅函數對濁音和清音信號的小波變換系數作不同的閾值處理，既抑制了噪聲，又減少了語音段信息的損失，提高了信噪比。
  3. This study showed that the mt and sharpness of frequency tuning curves increased as the sound direction changed from contralateral to ipsilateral azimuthal angles. it suggests that sound direction effect on frequency tuning may be through the complex interplay between the excitatory and inhibitory inputs. the application of gaba ( a ) antagonist, bicuculline, lowered all mts but the application did not abolish direction - dependent variation in mt

    聽皮層的抑制性影響使大多數神經元在蝙蝠最敏感的聲源方位c - 40的頻率分辨能力明顯提高，同時使c - 40和i - 40的最低閾值的差別進一步增大，提高了信噪比，提高下丘聽神經元對聲源方位和最佳頻率的分辨能力。
  4. The de - noise results of different threshold and different threshold function were compared for pulp thickness signal

    比較了選擇不同閾值及不同閾值函數對紙漿濃度信號去噪的效果。
  5. Entropy of an image is to express the smoothness or homogeneity of the image. while computing in a local window, if there exist edges, the local image will not be homogenous, variation of the grayness will be sharp and the entropy obtained will be low. otherwise, the entropy will be high. given the threshold of entropy, it can be determined whether or not exist edges. because entropy operator is sensitive to noise, the effect is bad if it is directly used to detect edges. in view of the deficiency, the paper comes up with an edge detection method in which entropy operator is combined with noise removal. if the entropy computed is higher than the threshold, it will be necessary to determine whether it is caused by noise or by edges. thus edge detection and noise removal can be made at the same time. with this method satisfactory effect has been achieved by experimenting upon image with low ratio of signal to noise

    圖像的熵用來刻劃圖像的平滑性或均勻性.在圖像的局部窗口中計算時，如果窗口中存在邊界，則窗口中的圖像不均勻，其灰度變化急劇，計算出的熵小；反之熵大.設定熵的閾值，即可判斷是否存在邊界.由於熵運算元對噪聲很敏感，直接用它進行邊界檢測，效果很差.文中針對這一缺陷，提出將熵運算元與去噪相結合的邊界檢測法，如果計算出的熵大於閾值，要判斷是噪聲的出現所引起，還是邊界的出現所引起，這樣，邊檢測邊界邊去噪聲.用該方法對信噪比較低的圖像進行實驗，得到了滿意的效果
  6. Some issues associated with the algorithm such as wavelet function selection, analysis level, and boundary treatment and so forth have been discussed. the stein self - adapting threshold denoising method is used to the signal pretreatment, thus the snr and resolution are improved

    採用基於stein無偏似然估計自適應閾值選擇原理的實用消噪方法對故障信號進行預處理，在改善信噪比的同時，又提高了對突變信息的解析度。
  7. Only by mean of the resolution, can we select the signal that is the higher - ratio of signal - noise and cut off the lower ratio of signal - noise, thus the globe ratio of signal - noise is enhanced to a higher degree by the enhancement of the local ratios of signal - noise

    本人在這篇論文中，從小波基的選擇。量化方法、濾波器構成方面優化設計，尤其在小波閾值選擇上，通過把小波軟閾值的選擇與信噪比聯系起來從而增加了圖像信號的信噪比。
  8. The matching pursuit techniques are applied to enhance speech signal, and a method to determine the threshold of coherent ratio is provided in the enhancement procedure based on matching pursuit. with the method, the noisy signal can be efficiently enhanced in a rather wide range while the statistical property of signal and noise is unknown

    運用匹配跟蹤技術處理了語音信號增強問題，給出了匹配跟蹤信號增強過程中相干比閾值的確定方法，實現了在未知信號與噪聲統計特性的情況下，在相當大的范圍內明顯增強信號的目的。
  9. Abstract : the threshold algorithm of the target detection is often used to detect target echo signals. its performance is based on signals - noise ratio. when signals - noise ratio is great than 6. 7, the target can be detected. in order to increase the signals - noise ratio, matching filter is often used. if the system is narrow band system, the noise is color noise and matching filter cannot be used. therefore, the signals - noise ratio cannot be increased. however, the geometrical characteristic of the laser echo signal is different with the noise. this paper advises the algorithm that detects the target by the geometrical characteristic. when signals - noise ratio is great than 2, this algorithm can detect target. this algorithm has been used in practice

    文摘:目標檢測的閾值法經常用於檢測目標的回波信號.它的性能取決于信噪比，當信噪比大於6 . 7時，能夠檢測出目標.為了提高信噪比，經常採用匹配濾波器.如果系統是窄帶系統，噪聲為色噪聲，無法使用匹配濾波器，不能提高信噪比.激光回波信號的幾何特徵不同於噪聲.提出了一種利用這種幾何特徵檢測目標的演算法.當信噪比大於2時，該演算法能夠檢測出目標.該演算法已經實際應用
  10. Single top value regulation between threshold and snr and a trial threshold method in wavelet - based image denoise

    小波圖像消噪中閾值與信噪比的單峰規律及閾值試探方法
  11. 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。
  12. The applicability of several commonly used de - noising methods is examined in signal analysis of instant vibration testing for soil compactness. the analysis result indicates that the method based on wavelet thresholds is the best. the method for determination the threshold of wavelet de - noising is also proposed to satisfy soil compactness test signal

    對比了幾種常用信號降噪方法在土密實度瞬態振動測試信號中的適用性，得到了小波閾值降噪法最適用於土密實度瞬態錘擊測試信號的結論，並給出了適用於土密實度測試信號降噪的小濾閾值確定方法。
  13. To solve this problem, some researches on denoising for the nonstationary and noisy - strong signal are carried out in this paper. combining hilbert - huang transform ( hht ) which has been proved to be more valid in the aspect of time - frequency analysis, with mature wavelet transform ( wt ) threshold theory, an emd - based wavelet threshold denoising algorithm is presented

    針對這個問題，本文也開展了對信噪比較低的含噪非平穩信號的去噪研究工作，並將具有比小波變換更強時頻分析能力的希爾伯特?黃變換（ hht ）與成熟的小波閾值理論相結合，提出基於emd的小波閾值去噪演算法。
  14. First of all, the emd - based wavelet threshold denoising algorithm is apllied to denoise noisy structural response data to reduce the effect resulting from noise. during the process of the empirical mode decomposition ( emd ), the two boundaries of the response signal are processed with semi - periodical ? semi - symmetrical method. subsequently, hilbert - huang transform ( hht ) is used in identifying structural intrinsic frequency

    這套技術用以解決實際工程應用中遇到的在信噪比較低情況下通過結構的響應信號來進行結構損傷識別問題，即先用基於emd的小波閾值去噪演算法對含噪結構響應進行去噪處理，以有效降低噪聲影響（在去噪的emd處理過程中，對信號的邊界採用「半周期半對稱」延括演算法來抑制邊界誤差） ，然後再用希爾伯特?黃變換（ hht ）進行結構的固有頻率識別，最後計算出結構剛度。
  15. At first, this paper reviews the traditional currency crisis theories and the research on the early warning system ; thereby try to search for the crisis root and some important early warning indicator, and then basing on those and the kaminsky ' s early warning system of the currency crisis, i analyze statistically the thailand monthly data from 1992 to 2000, seek the threshold of every early warning indicator, the adjusted noise - signal ratio and the early warning synthesis indicator, forecast the possibility of thailand happening the crisis in the coming 12 month with the month data in 2001, and finally conclude that thailand would not happen the crisis in the coming 12 month

    首先本文對傳統貨幣危機理論和近期對貨幣危機預警的研究進行了回顧，從而試圖尋找危機的根源和一些重要的預警指標，在此基礎上，運用kaminsky的貨幣危機早期預警方法? ?信號分析法，對泰國1992 - 2000年年間的月度數據進行了統計分析，求出每個預警指標的閾值、調整后的噪音信號比以及危機預警的綜合指標，進而採用泰國2001年的月度數據對泰國未來12個月進行危機預測，最後得出泰國在未來12個月內不會發生危機。
  16. A novel method for multi - scale denoising based on wavelet transform is given in chapter 2. the new method improves the threshold - processing algorithm and present the form of white noise standard deviation at each scale. simulations show that while getting rid of noise mostly, this algorithm keeps the main edges of signal well

    該演算法對常規閾值方法進行了改進，給出了各尺度上噪聲方差的計算公式，對多個非平穩信號消噪問題進行了對比模擬研究，模擬結果表明該演算法不但能進一步提高非平穩信號的消噪精度，而且能保留信號主要細節。
  17. The numerical experiments show that the proposed method can significantly raise snr, decrease mse and preserve the shape of signal better than the original wavelet shrinkage method

    數值模擬表明，與小波閾值收縮方法相比，該方法在信噪比和均方差指標上都有明顯的提高，並能很好地保持信號的形狀。
  18. The method makes use of the intensity values of the object in image. adopting optimal threshold to segment the original image, it is insensitive to brightness and contrast

    該方法充分利用圖像灰度信息，並且由於採用最優閾值分割，受亮度、對比度和噪聲的影響較小。
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