threshold signal to noise ratio 中文意思是什麼

threshold signal to noise ratio 解釋
臨界信號噪聲比
  • threshold : n. 1. 門檻；入口，門口。2. 【心理學】閾限。3. 界限，限度。4. 【物理學】臨界值，閾。5. 入門，開始，開端。
  • signal : n 1 信號，暗號；信號器。2 動機，導火線 （for）。3 預兆，徵象。adj 1 暗號的，作信號用的。2 顯著的...
  • to : adv 到某種狀態；〈特指〉到停止狀態；關閉。 ★也常和動詞結合，略去其後賓語，而構成成語： The door i...
  • 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〉...
  • ratio : n. （pl. ratios）1. 比，比率，比值；比例；系數。2. 【經濟學】復本位制中金銀的法定比價。vt. 1. 用比例方式表達；求出…的比值；使…成比例。2. 將（相片）按比例放大或縮小。
  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. There are two ways to enhance the radar ' s detection performance : ( 1 ) for certain signal to noise ratio, choose a optimum detection threshold, whose false decisions producing minimum cost under the preset cost rules ; ( 2 ) basically reduce the false decision probability by increasing echo ' s snr

    雷達在噪聲背景中檢測信號是一個概率問題，提高雷達的檢測能力可歸結為如下兩個途徑： （ 1 ）在信噪比一定的情況下，選擇一最佳門限，使其在一定風險準則下錯誤判決產生的「代價」最小。 （ 2 ）提高回波信號的信噪比，從根本上減小錯誤判決的概率。
  3. 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
  4. 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。
  5. 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
  6. 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。
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