estimation of variance of noise 中文意思是什麼

estimation of variance of noise 解釋
噪聲方差估計
  • estimation : n. 1. 估計，評價。2. 預算，預算額；概算。3. 尊重，尊敬。4. 意見，判斷。5. 【化學】估定；測定。
  • of : OF ＝Old French 古法語。
  • variance : n. 1. 變化，變動，變更；變度，變量；【統計】（平）方（偏）差。2. （意見等的）相異；不和，沖突，爭論。3. 【法律】訴狀和供詞的不符。
  • 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〉...
  1. Methods of psf and noise variance estimation are proposed for practical restoration and thanks to them a real defocus image is perfectly restored

    在此基礎上，對一個實際的模糊圖像進行了恢復處理並取得了良好的效果。
  2. The cyclic estimation approaches of chirp signals in additive nose or multiplicative noise are proposed, it presents a way for the parameters estimation of zero mean amplitude chirp signals. the estimation performances in the additive noise or multiplicative noise are analyzed by the first order perturbation analysis method, and the error variance expressions of the parameters estimation under large samples are derived

    針對加性噪聲情況及存在乘性噪聲的情況，提出了線性調頻信號參數的循環平穩估計方法，解決了零均值乘性噪聲的信號參數估計問題，並採用一階擾動分析方法，對兩種噪聲情況下的估計性能進行了分析，推導出了各參數的估計誤差方差公式。
  3. And then, adopting the same model, cyclic moment estimation statistic of different orders are constructed respectively, large sample variance expressions of the estimator through theoretic analysis are derived, as well as the constraint relation of estimator performance and noise statistical characteristic. the curve of estimation performance is obtained through monte carlo simulation test, which proves the related conclusion derived

    然後，論文同樣以加性和乘性噪聲聯合干擾下的復諧波信號和復線性調頻信號為觀測模型，分別構造了基於不同階次的循環矩估計量，從理論上推導出了估計量的大樣本方差表達式，分析了估計量性能與噪聲統計特性的約束關系，通過monte - carlo模擬試驗得到了估計性能的曲線，驗證了推導的有關結論。
  4. The iterative decoding of ldpc code must use the noise variance, so the variance estimation is important for the ldpc code decoding. by the computer simulation, we find that the impact of the estimation algorithm for the ldpc code performance is less than 0. 2db

    通過計算機驗證得到，利用這種演算法估計出的誤差對碼字的性能不會有大的影響，在最差的情況下對spa譯碼演算法和改進的wbf演算法的影響都不會超過0 . 2db 。
  5. Based on above performances the applications of multi - sensor data fusion in state estimation for maneuvering target is studied systemically. the main work includes : based on the analysis that the extreme value of acceleration presupposed causes influence in the “ current ” statistical model, a modified model is given, which utilizes the functional relationship between maneuvering status and estimation of the neighboring intersample position vector to carry out the self - adaptive of the process noise variance. then combining with the recursive characteristic of kalman filter, an improved self - adaptive filtering algorithm is presented

    基於此，本文針對多傳感器數據融合技術在機動目標狀態估計中的應用進行了系統的研究，其主要工作如下: 1 、基於「當前」統計模型中加速度極限值的預先設定對于濾波效果影響的分析，利用目標機動狀況與相鄰采樣時刻間位置估計量變化之間的函數關系實現噪聲方差自適應，進而提出了一種修正的模型，並結合卡爾曼濾波遞推演算法，提出了一種改進的自適應濾波演算法。
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