均方收斂 的英文怎麼說

中文拼音 [jūnfāngshōuliǎn]
均方收斂 英文
convergence in square mean
  • 均 : Ⅰ形容詞（均勻） equal; even Ⅱ副詞（都; 全） without exception; all
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 收 : Ⅰ動詞1 （把攤開的或分散的事物聚集、合攏） put away; take in 2 （收取） collect 3 （收割） harvest...
  • 斂 : Ⅰ動詞1 （收起; 收住） hold back; keep back 2 （約束） restrain 3 （收集; 徵收） gather; collect; ...
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  1. According to the lms criterion, steps for calculation implement is proposed., and simulations on convergency and ber properties blind algorithm has been done. in addition, as a introduction of blind algorithm, subspace decomposition, minimum output energy ( moe )

    針對該檢測器，將最小均方演算法（ lms ）應用於該檢測器，給出了演算法實現的計算步驟，模擬了演算法收斂特性及課碼性能，分析了自適應能力。
  2. Based on fractional sampling method, a new super - exponential iteration decision feedback blind equalization algorithm for severely nonlinear phase distortion channels was proposed

    因此針對嚴重頻率衰落和非線性相位失真通道，提出了一種分數采樣的混合盲均衡演算法，並獲得了較快的收斂速度和較小的剩餘均方誤差。
  3. 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。
  4. 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。
  5. The equations of the mean value functions and the covariance functions are established for dynamical systems whose inputs are fuzzy stochastic processes. an existence and uniqueness theorem of ito fuzzy stochastic differential equations is proved, some explicit representations of solutions and the equations of statistical characteristics are deduced for linear fuzzy stochastic differential equations, and numerical methods to nonlinear fuzzy stochastic differential equations are proposed, the conditions for stability and observability of fuzzy linear systems are derived. the kalman filter algorithms of linear fuzzy stochastic systems are brought forward

    主要成果包括：提出了模糊隨機變量協方差和反向協方差的概念；研究了二階模糊隨機變量的均方收斂性，並在此基礎上得到了均方模糊隨機分析、平穩模糊隨機過程及其譜分解的若干定理；根據均方模糊隨機分析理論，得到了輸入為模糊隨機過程的線性系統的輸出輸入統計特徵關系方程；證明了ito型模糊隨機微分方程解的存在唯一性，並給出了ito型線性模糊隨機微分方程解的表達式，統計特徵方程以及非線性模糊隨機微分方程的數值解法；得到了模糊線性系統的穩定性和可觀性條件、線性模糊隨機系統統計特徵方程和線性模糊隨機系統的kalman濾波演算法；研究了當觀測值是模糊數據時，線性回歸模型的建立。
  6. 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。
  7. The specific research methods include : the reliability and validity of the scale ( cronbach ’ s of the scale, split - half reliability, the reliability of each dimension, discriminant validity, convergent validity ) ; the factor analysis method to get the dimensions of internal service quality ; the independent - samples t - test and paired - samples t - test method to analyze every discrimination of internal service quality ; the comparison of means to evaluate the sequence of every dimension

    具體的研究方法包括:對量表進行信度和效度分析，包括整個表的cronbach系數、分半信度、各維度的信度、區別效度和收斂效度的分析;使用因子分析的方法測量內部服務質量包含的維度;採用兩獨立樣本的t檢驗和兩配對樣本的t檢驗的統計方法對內部服務質量各差距進行分析;通過對樣本均值的比較，分別得出各維度在員工和管理者心目中的重要性排序。
  8. The improved algorithm not only inherits the fast convergence trait from rls and realizable systolic array from qr _ rls, but also eliminates square - root operation and gets directly equalizer output signals from systolic array. so this algorithm has more simple operation, faster executing speed, less hardware resource and lower hardware cost. some different equalization algorithm are imitated on the qpsk communication system with multipath channel

    其次對一些成熟的自適應均衡演算法（如lms演算法、 rls演算法、 qr _ rls演算法、逆qr _ rls演算法）進行了分析;介紹了一種改進后的無平方根的qr _ rls演算法，該演算法不但繼承了rls的快速收斂特性和qr _ rls演算法的systolic陣列可實現性，還取消了qr _ rls演算法的平方根運算，使演算法在硬體實現時運行速度更快，佔用資源也更少，同時該演算法還可由systolic陣列直接得到均衡后的輸出信號，運算量更小。
  9. The paper also studied the structure of lms adaptive filter and the theoretical analysis of astringency by deducing the equal square error of the weigh value in the msn linear filtering

    在mse線性濾波中權值的均方誤差函數的推導的基礎上，對lms自適應濾波器的結構和收斂性的理論分析進行了研究。
  10. Lastly, the dissertation designs a rank - reduced blind space - time 2 - d rake receiver using time extraction which has not only the capability of space - time equilibrium but also reduces the convergence time of adaptive array and the rank of correlated matrix of the received data

    最後，設計了一種時間抽取降秩盲空時2 - drake接收機。分析了其性能和參考信號的提取方法。該接收機不但具有空時均衡的能力，而且降低了陣列的收斂時間和接收數據相關矩陣的秩。
  11. 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。
  12. The paper puts forward the clustering algorithm includes : clustering based on grid and iterative, enhanced clustering algorithm base on density and k - medoids, enhanced k - means algorithm ( optimize chooseing consult _ points in iterative process ), enhanced clustering algorithm base on distance. they can overcome many limitations ( some traditional algorithms terminate in local optimization. many results of cluster are roundness, too many times in partition iterative process ), which are related to the static architecture of traditional model

    在傳統聚類演算法的基礎上，結合我們科學數據挖掘的應用對象?分子動力學數據，提出了迭代網格聚類演算法， k -平均和基於密度結合的聚類演算法，迭代過程中優化選擇中心點的k -平均方法，以及改進型的基於距離的聚類演算法等模式識別方法，能夠解決傳統演算法帶來的諸多問題（比如一些傳統的聚類演算法常常收斂于局部最優，發現都模式都趨近於球形，劃分方法中迭代次數過多帶來的效率問題） 。
  13. 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。
  14. 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。
  15. Simulations with respect to two models, prove that the method can track the frequency accurately and instantly, and have the preferable effectiveness on the abruptly fluctuating - frequency power signals, at the same time, this method overcomes the constraint of synchronous sampling and has the better astringency with different initial frequency

    針對兩種模型進行模擬，表明該方法能夠較為精確與快速地跟蹤電網頻率，尤其針對突變頻率的信號，具有較好的跟蹤效果；同時演算法克服了同步采樣條件的限制，通過迭代，在不同初始頻率下均具有較好的收斂性。
  16. The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel. compared with conventional methods, the new approach offers lower computational complexity, better performance, and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model, kalman filter is then employed to track channel variations, it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system, a new algorithm of equalization of simo time - varying channel is proposed, which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets, and then a blind identification method based " on the model is proposed ; at last, a new model for equalization and identification of mimo system is proposed

    主要工作在以下幾個方面： 1 、針對頻率選擇性衰落通道：結合輸入輸出空間同構關系提出一種新的頻率選擇性通道均衡方法，與傳統方法相比，該方法計算量更小，收斂速度更快，性能更優，且對系統階次的過確定表現穩健，具有實際均衡應用價值； 2 、針對時間選擇性衰落通道：提出一種基於迫零均衡的時間選擇性通道均衡方法，演算法結構簡單； 3 、針對時變色散通道：利用瞬態均值曲線提取通道時變信息，對之ar建模，利用卡爾曼濾波器跟蹤時變通道抽頭變化，可以快速跟蹤通道變化；基於輸入輸出空間之間的同構關系以及多輸入多輸出系統的處理方法，提出了新的單輸入多輸出色散時變通道均衡與識別演算法，同樣具有對通道階次過確定保持穩健的優點；結合小波多解析度分析提出一種基於小波模型的通道盲識別演算法；研究時變的多輸入多輸出系統的盲均衡與盲反卷積問題，給出一種時變系統處理模型。
  17. In this paper, we utilized the wavelet to estimate cook ' s, friedman ' s and hall ' s projection index, and proved that the wavelet estimator of this projection pursuit indices are mse convergence and asymptotically unbiased., and the wavelet estimator of the ppda index is asymptotically unbiased

    證明了cook投影指標族、 friedman投影指標和hall投影指標的小波估計的漸近無偏性和均方收斂性，投影尋蹤判別分析指標（ projectionpursuitdscriminantanalysis簡稱ppda ）的小波估計的漸近無偏性。
  18. Time - varying system identification methods and convergence theorems

    時變多變量系統多新息投影演算法的均方收斂性
  19. 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。
  20. Convergence in the mean square

    均方收斂
分享友人
分享到 Line

分享到臉書