signal detection threshold 中文意思是什麼

signal detection threshold 解釋
信號檢測閥
  • 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...
  • detection : n. 1. 探知；發現，發覺；敗露。2. 【化學】檢定，檢查；【電訊】檢波。
  • 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。
  1. Combining the basic laws of psychophysics and signal detection theory, we use two - alternative forced - choice ( 2afc ) to study the threshold change of human electric sense under different noise levels

    在心理物理實驗中，結合心理物理學和信號檢測論的基本原理，採用了二間隔的強迫選擇法（ 2afc ）作為實驗方法，研究不同噪聲量級情況下人體電感覺閾值的變化。
  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. 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
  5. After this, this paper present the simple threshold ca - cfar detector with little reference cell number, and analyse the relationship between the detection probability and noncoherent integration number, reference cells, then the relationship curve and an analysis is also given. finally, the thesis simulate the signal processor and cfar algorithm, discussed results are proved to be correct

    文章最後將產生的目標及雜波數據送入信號處理機的模擬系統，對其進行信號處理及恆虛警檢測的模擬，給出了模擬結果，對模擬結果進行了詳盡的分析討論，驗證了本文信號處理及恆虛警演算法的正確性。
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