convergence in square mean 中文意思是什麼

convergence in square mean 解釋
均方收斂
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  • in : adv 1 朝里，向內，在內。 A coat with a furry side in有皮裡子的外衣。 Come in please 請進來。 The ...
  • square : n 1 正方形，四方塊，四角；方形物。2 （方形）廣場；〈美國〉（四面都是馬路的）方陣建築；街區；（方...
  • mean : vt 1 意，有…的意思，意思是…。2 意指，用…意思說；意味著，就是。3 （用語言、繪畫等）表示意思，表示...
  1. In addition, the beamforming techniques for cdma systems are discussed emphatically. the algorithm based on code filtering is deduced in detail theoretically, and the performances such as convergence and bit error rate ( ber ) are simulated. meanwhile, we improve a decision - projected algorithm based on least - mean - square ( lms ) error

    論文重點討論了cdma系統的波束形成技術，在理論上詳盡地推導了基於擴頻碼濾波的波束形成演算法，對其收斂性、誤碼率等進行了計算機模擬；針對基於最小均方（ lms ）誤差的一種判決映射演算法進行了改進。
  2. In this paper, we give a kernel shape estimation of m ( x ) using variable bandwidth local linear refression approch, and discuss the asymptotic normality, the convergence rate of mean square and convergence rate with probability

    本文對上述模型，利用變窗寬局部線性回歸方法，給出了m （ x ）的核形估計，並討論了這一估計的漸近正態性、依概率收斂速度、和均方收斂速度。
  3. Among the adaptive beam - forming algorithms, the least mean square algorithm is widely used because it has a simple configuration and it is apt to come true and have nice convergence. on the other hand, it has a disadvantage that it converges slowly and there is a conflict between the fixed step and the convergence pace or the error in stabilization. so people have developed many improved least mean square algorithms which generally start from convergence, stabilization, misadjustment, and robustness and come to a formula about variational step in the end

    在自適應波束形成演算法中，最小均方（ lms ）演算法因結構簡單，易於實現，能穩定收斂而得到廣泛應用，但它也存在收斂速度受限的缺點：固定步長因子無法解決收斂速度和穩態誤差之間的矛盾。因此，人們提出了各種改進的最小均法演算法來解決這一問題。改進的最小均方演算法通常從如何改進收斂速度、穩態誤差、失調量和魯棒性等指標上出發，最後在新演算法最終表達式中的步長公式上變化。
  4. The computer simulation results show that the odd - order normalized cumluant algorithms give lower - complexity, faster convergence rate, smaller steady state mean square error ( msb ) and great fault tolerant ability in comparison with even - order normalized cumluant algorithms in the same situation

    本文對于提出的各種演算法，進行了計算機模擬，並與相同條件下的偶數階歸一化累積量盲均衡演算法的模擬進行比較。
  5. Abstract : in this paper, we give the definitions of second order moment fuzzy stochastic process and its mean square convergence, and prove the cauchy criterion of mean square convergence of second order moment fuzzy stochastic process, and discuss the properties of mean square convergence of second order momnet fuzzy stochastic process

    文摘:給出二階矩模糊隨機過程及其均方收斂的定義，證明二階矩模糊隨機過程均方收斂的柯西準則，討論二階矩模糊隨機過程均方收斂的性質。
  6. Convergence in the mean square

    均方收斂
  7. The main contributions of this thesis are as follows : ( 1 ) the conventional minimum output energy ( moe ) algorithm has the global convergence but its stable excess mean square error is high and it ca n ' t converge to the minimum mean square error ( mmse ). in this thesis an equivalent decision feedback moe ( df - moe ) algorithm variable step - size is presented and analyzed

    主要工作可以概括如下： （ 1 ）針對最小輸出能量檢測器（ moe ）具有全局收斂，但是穩態剩餘均方誤差比較大，無法收斂到最佳mmse檢測器的特點，提出並分析了一種等效的判決反饋變步長moe檢測演算法（簡稱df - moe ： decidedfeedbackmoe ） 。
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