estimation problem 中文意思是什麼

estimation problem 解釋
估計問題
  • 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。
  • problem : n. 1. 問題,課題;疑難問題;令人困惑的情況。2. 【數、物】習題;作圖題。3. (象棋的)布局問題。adj. 1. 成問題的;難處理的。2. 關于社會問題的。
  1. 3 ) we try to import the bayesian adaptation, which is widely used in speech recognition, into speaker verification. we use bayesian maximum a posteriori estimation training a speaker model from background model, to solve the problem of model miss matching in speaker verification system

    3 )為了解決說話人確認中存在的模型不匹配問題,嘗試將語音識別中的貝葉斯自適應演算法引入到基於高斯混合統一背景模型的說話人確認系統。
  2. And then facing the problem of the channel estimation of the adaptive modulation system, we conclude out the channel estimation algorithms on maximum likelihood ( ml ) estimation and maximum a posteriori ( map ) estimation under the condition of flat fading channel and selective fading channel in detail. to meet flat fading channel, we simulate the relationship of the ratio between the error covariance in map estimation and ml estimation and pilot symbol message length. the conclusion can be drawn from these results

    接著,對自適應調制系統中的通道估計問題難點,詳細推導了平衰落通道條件下和選擇性衰落通道條件下最大似然( ml )估計和最大后驗概率( map )估計演算法,針對平衰落通道,我們模擬了map估計和ml估計的方差與導頻符號長度的關系,模擬結果表明,錯誤方差受多譜勒頻率的變化影響最大,並且對實際的自適應調制系統,導頻符號長度的取值超過20個符號長度時, map通道估計明顯優于ml通道估計。
  3. The results of test demostrate both estimation and accuracy of solving model achieved satisfactory degree, so that the ballistic trajectory problem can be solved without the firing table

    測試結果表明,彈道綜合系數的估計比較準確,而解算模型在精度與實時性上均達到滿意的程度,具有高度通用化的特點,並且使彈道問題的解算可以完全脫離射表進行。
  4. Third, this dissertation analyzes the complicacy of result size estimation problem for xml structure based query optimization compared to its counterpart in traditionally relational database, and proposes a full - featured result size estimation algorithm for xml query, sxm. for simple path expression query, this dissertation proposes a dynamic synopsis model for xml data based on the concept of f - stable and b - stable, xmap. for complicated path expression query, this dissertation adopts an improved bifocal sampling method for result size estimation

    第三,分析了xml結構化查詢優化中的查詢代價估計問題與傳統關系型數據庫中的查詢代價估計問題的區別,提出了一套完整的xml結構化查詢代價估計體系sxm ,包括對簡單路徑表達進行查詢代價估計的動態xml數據統計模型xmap ,對復雜路徑表達進行查詢代價估計的雙焦點例舉法,以及對值匹配條件進行查詢代價估計的基於小波的多維直方圖方法,並能將多種查詢表達的查詢代價估計結果結合在一起,以給出一個完整的xpath查詢的代價估計。
  5. Since the problem of feature extraction from 2 - d radar data can be approached as a parametric modeling and parameter estimation problem, the 2 - d type - discriminated geometric theory of diffraction based ( td - gtd ) model that discriminate between the localized and distributed scattering centers of the target is presented

    在對目標散射中心的建模與參數估計中,提出採用更貼近散射機理的、特徵含量更為豐富的二維散射中心模型?區分局域性與展布式散射中心類型的幾何繞射理論( td - gtd )模型。
  6. Several carrier frequency estimation algorithms including ekf and rls with opened loop are analyzed, which aim to settle the carrier phase estimation problem preferably under high dynamic circumstances. an improved phase and frequency esti - mation algorithm is proposed in the paper. simulation results show that the algorithm is faster and more precision than other algorithms

    為更好地解決高動態環境中的載波同步問題,本文進一步研究了存在動態多普勒頻移情況下的開環相干載波同步問題,包括基於擴展卡爾曼濾波、最小二乘演算法等的頻差、相差聯合估計方法。
  7. To verify the effectiveness of the proposed hybrid fnn, this thesis addressed the estimation problem for the frozen point of light cyclic oil in a fluidized catalytic cracking unit ( fccu ) in a refinery. based on the sample data collected from the industrial unit, we built a soft sensor model by using an above hybrid fnn

    最後,針對某煉油廠催化裂化裝置主分餾塔輕柴油凝固點的軟測量估計問題,本文基於工業現場所採集的樣本數據,建立了混合結構神經網路模型,並討論該模型的在線自學習問題,同時與多層前向bp網路、徑向基函數rbf網路模型進行了比較。
  8. In order to solve the estimation problem of pn sequences itself, a code recovery algorithm based on subspace tracking is proposed

    該演算法通過應用past技術,求出兩個主特徵向量,實現擴頻碼序列的恢復。
  9. And then, the esprit bearing estimation problem. is reformulated using fourth - order cumulant matrices instead of auto - correlation matrices. by doing so, the fourth - order cumulant matrices of additive colored gaussian noises can be suppressed

    在此基礎之上,將esprit方法擴展到四階方法,用四階累積量矩陣代替自相關矩陣,實現對加性有色高斯噪聲的抑制,提高演算法的估計精度。
  10. 3. the methodology based upon lssvm for on - line inferential measurement has been proposed and applied in parameter estimation problem encountered in a continuous catalytic reforming unit. to deal with model deviation problem, moving windows framework is incorporated into inferential measurement method that is based upon lssvm

    將svm運用於連續重整裝置中的參數預估問題,在簡要介紹及說明了工程應用中存在的問題之後,如訓練數據是小樣本,具有實時性的要求,而且在線應用具有模型偏移的問題。
  11. The optimal solu tion of real control can be obtained by means of iteratively solving the op timiz ation problem based on bilinear model and parameter estimation problem

    在模型與實際存在差異的情況下,通過求解修正的基於雙線性模型的優化問題和參數估計問題,給出了實際問題的最優解。
  12. To manage large - scale xml documents with complicated structure, this dissertation focus on the efficient structural indexing algorithm for xml data, result size estimation problem for xml structure based query optimization, result relevance ranking algorithm, and infrastructure for xml query processing for both text - rich and data - rich xml documents. to address the aforementioned issues, this dissertation makes the following contributions. first, it investigates the drawbacks of existing indexing algorithm for xml data, and propose a dynamic indexing algorithm for xml data based on d - bisimilarity, difx

    為滿足結構復雜、大規模的xml數據管理需要,本文深入研究了xml信息檢索系統中的結構索引演算法設計和結構化查詢優化中的查詢代價估計問題,以及查詢結果和查詢條件間的相關度演算法,主要取得了4個方面的成果:第一,分析了已有的xml數據索引演算法中存在的問題,提出了一種高效的動態xml結構索引演算法difx ,它採用動態後向結構相似性( d - bisimilarity )的概念,可以根據實際查詢需求以及索引最優化的要求動態決定索引中保存的結構信息。
  13. Compared with classical recursive extended least squares, their accuracy obviously is improved. applying these new algorithms to the parameter estimation problem for systems with measurement noises, some new approaches and algorithms of parameter estimation for system with measurement noises, are presented, for example, two - stage rels - gevers - wouters algorithm and three - stage rls - pi - gevers - wouters algorithm, which solve the biased parameter estimation problem by classical least squares method

    並將這些演算法推廣到帶觀測噪聲系統參數估計的問題,給出了帶觀測噪聲系統參數估計的一些新方法和新演算法,其中包括兩段rels - gevers - wouters演算法和三段rls - pi - gevers - wouters演算法,解決了用普通最小二乘法估計帶觀測噪聲系統未知參數的有偏問題。
  14. In addition, a novel hnn method is put forward to deal with the estimation problem of the state - space expressions of general linear dynamic systems

    此外,本文還提出了一種基於輸入輸出數據的線性系統狀態空間表達式的hnn參數估計方法。
  15. Recent researches have showed that sea clutter can be modeled as chaotic dynamic. local prediction technique is used for detection and estimation problem in chaotic environment for radar signal processing

    提出了一種基於神經網路的信號檢測方案;信號檢測解決了信號的有無判斷問題,而參數估計則是要解決信號參量的確定問題。
  16. By applying generalized svm and least square svm of classification to regression estimation problem, fuzzy generalized weighted svm and fuzzy multiplayer least square generalized svm are proposed. 3

    把針對分類問題的廣義svm及最小二乘廣義svm用來處理回歸估計問題,並和模糊svm結合起來形成了基於模糊加權的廣義svm和基於模糊的多層最小二乘廣義svm 。
  17. 6. we discuss a new popular approach, which is called particle filter, to state estimation problem for non - linear, non - gaussian system. in addition, some potential problems of the particle filter have been presented

    分析了目前廣泛應用於非線性非高斯系統狀態估計的「粒子」濾波( particlefilter )演算法的基本思想,指出其存在的問題和可能的研究方向。
  18. On the basis of the perturbed karush - kuhn - tucker ( kkt ) conditions of the primal problem, this paper presents a new interior point algorithm to solve power system weighted nonlinear l ( norm ( ipwnl1 ) state and parameter estimation problem

    基於原問題的擾動karush - kuhn - tucker ( kkt )條件,本文提出了一種新的電力系統加權非線性l1范數狀態及參數估計內點演算法。
  19. Simulation results indicate that the drnn identifier is more accurate than the traditional ked theoretical model. ( 5 ) with reference to the parameter estimation problem, a linearized model of the experimental mechanism is established, whose state equation is determined by means of the continuous hopfield neural networks ( hnn )

    5 .在參數估計方面,本文構造了彈性連桿機構動力學系統的線性化模型,根據連續型hopfield神經網路( hnn )的優化計算原理,對該線性化模型的狀態方程進行了參數估計。
  20. The main contents of this dissertation consist of the following parts : an improved unscented kalman filter using spherical simplex unscented transformation ( sukf ) is derived in an attempt to solve the attitude estimation problem with the biased gyro or not from the vector observations

    主要完成了以下幾方面的工作:針對有陀螺和無陀螺兩種模式,提出了一種基於簡化球形分佈sigma點ut變換的改進型ukf濾波( sukf )的衛星姿態估計演算法。
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