square mean convergence 中文意思是什麼

square mean convergence 解釋
平方平均收斂
  • 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...
  • 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）。
  1. The improved algorithm is combined with normalized least - mean - square ( nlms ) alg orithm. computer simulations are presented detailedly to show the algorithm exhibits excellent convergence, tracking capability, as well as lower ber

    改進演算法結合了歸一化最小均方（ nlms ）演算法，模擬結果表明改進演算法具有良好的收斂性、跟蹤性能及較低的誤碼率。
  2. 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。
  3. The main characteristics and advantages are : on one hand, we adopted the low - complexity bussgang algorithm, and did blind estimation to ofdm sub - channel according to the mean square error criterion ( mse ) and peak distortion criterion ; on the other hand, we used the differential detection, which accelerates the convergence speed and avoid the error transmission problem resulted from the bussgang algorithm

    這兩種演算法一方面採用了低復雜度的bussgang自適應演算法，分別依據均方誤差準則和峰值失真準則對ofdm系統子通道進行盲估計；另一方面通過引入差分檢測技術，加快了演算法收斂速度，克服了bussgang演算法帶來的誤差傳播問題。
  4. Based on the convergence criterion of root - mean - square ( rms ) of phase and output power, the actual intensity on reflectors are solved with fox - li iteration so that the deformations of mirrors and one - way phaseshifts are calculated. by simulating one - way phaseshifts with zernike polynomial, the laser modes are studied with method of iteration and geometriy. the evaluation factors of components influences on beam quality is discussed

    根據相位均方根值迭代收斂準則和輸出功率，用fox - li迭代法求出反射鏡上實際的光強分佈和熱源，得到鏡面的位移變形和單程附加相移，以zernike多項式擬合單程附加相移，分別用迭代法和幾何法計算了腔鏡變形時的腔模光場，建立了光學元件對光束質量影響的評價因子，研究腔鏡冷卻效果和冷卻方式，對輸出耦合鏡的變形進行了分析。
  5. 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。
  6. 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。
  7. The experiment on a blurred text image restoration shows that the mean square error ( mse ) of the improved nas - rif algorithm has a better convergence, and that the signal to noise ratio is improved

    對文字模糊圖像的模擬結果表明，與原始演算法相比，改進演算法的均方誤差曲線收斂性及穩定性更好，提高了恢復圖像的信噪比。
  8. The paper put forward a new improved least mean square algorithms which is on the basis of the fundamental of convergence step and the graph connection between error and step

    本文根據現有的步長調整原則，利用誤差和步長關系曲線特點，提出了新的變步長最小均方演算法。
  9. 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。
  10. 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。
  11. Convergence in the mean square

    均方收斂
  12. 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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