最優估計演算法 的英文怎麼說

中文拼音 [zuìyōugūjìyǎnsuànfǎ]
最優估計演算法 英文
optimal estimation algorithm
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 估 : 估構詞成分。
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 最優 : optimal; optimum最優策略 optimal policy; optimal strategy; 最優設計 optimum design; 最優值 optima...
  • 估計 : estimate; evaluate; take stock of; size up; calculate; appraise; reckon; estimation; forecast
  1. 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。
  2. It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems

    在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用
  3. One of the main problems in pdes is how to partition the network simulation workload to decrease the time needed to complete the simulation and improve performance of simulation. here a new optimized partition algorithm was put forward, which first analyses the performance factors of parallel simulation and then constructs a performance estimation model for partition ; based on this model, it mends the graph partition algorithm to consider all factors, including simulation applications and simulation environments. optimized factors are workload balance 、 communication cost and time window of lookhead

    鑒于基於傳統圖劃分演算法的任務劃分工具存在諸多不足，本文提出了并行網路模擬任務的優化劃分方法，其思想是:首先從pdes機制出發，分析影響并行網路模擬性能的各種因素並建立一個能夠綜合考慮各種因素的并行網路模擬性能估計模型;其次，改進多級圖劃分演算法，使得演算法具有綜合考慮模擬應用與模擬運行環境，同時在優化過程中使用性能估計模型指導劃分，實現對影響并行網路模擬性能的三個因素（包括負載均衡、通信開銷、安全時間窗口長度）的優化能力;最後，結合併行網路模擬性能估計模型與改進的多極圖劃分演算法，實現了并行網路模擬任務的優化劃分。
  4. Study on optimum estimate method for intake flowrate of electronic control gasoline engine

    電控汽油機進氣量的最優估計演算法研究
  5. The improved algorithm of optimal interpolative estimation was adopted under the condition of strong signal interrelation

    在信號相關性強的情況下，採用了最優插值估計的改進演算法。
  6. In view of the fact that the genetic algorithm of stochastic programming based on random simulated technology has succeed greatly, this paper points out that changing parameters of genetic algorithm can obtain a sequence of optimum values of goal function. taking these genetic algorithm values as sampling data, we can get fitting optimum function by using multivariate spline regression and get the lipschitzs constant of the fitting optimum function. so for any chance constrained programming problem, we can get its interval estimate

    鑒于基於隨機模擬技術的遺傳演算法在求解隨機規劃問題上的優越性，本文指出，改變遺傳演算法的參數條件，在此基礎上求得機會約束規劃的若干個最優值，以這些最優值為樣本點，利用多元樣條回歸，擬合得到最優值函數，進而求出最優值函數的lipschitzs常數，從而對于任一機會約束規劃問題，都可以得到它的一個區間估計。
  7. 2 ) systematically introduced parameter estimation of distributed sources on the base of models, including the maximum likelihood estimate, least squares estimator, dspe, dispare, etc. 3 ) studied four low complexity algorithms : one order approximation, two point sources approximation, traditional beamforming and relax of parameter estimation

    2 ）在模型基礎上系統地介紹了已有分散式目標參數估計方法，包括最大似然與最小二乘演算法， dspe和dispare演算法等。 3 ）研究了四種低復雜度演算法：一階近似演算法、兩點近似的演算法、常規波束形成演算法和relax演算法，這些演算法都是次優演算法，但計算量小，具有實用價值。
  8. We propose an algorithm, which integrate the shift invariance of redundant discrete wavelet transformation ( rdwt ) and the flexibility of multi - resolution motion estimation, to overcome the shift variance of dwt and get the precise motion vector. under the different code parameter, we take the proposed algorithm compared to several present algorithms, and experiment results have shown that proposed algorithm could leave less energy in the residual frames, get more precise motion vector and better reconstructed frames

    文章最後在不同的編碼參數下，將所提演算法與兩種傳統小波域運動估計演算法作比較，根據實驗所得數據分析，發現所提演算法在性能上要優于另外幾種演算法，具體體現在運動估計后所得殘差幀能量更小，重構幀客觀與主觀質量更高。
  9. This paper research the mpeg - 4 standard first and realize the encoder and decoder of video of mpeg - 4. then the paper emphasize two key techniques in mpeg - 4 encoder : motion estimation and sprite encode. motion estimation takes the largest time in all parts of mpeg - 4 encoder. the paper concluded some typical me techniques, research and realize the mvfast arithmetic whice is recommend by iso, then improved mvfast by considering the temporal candidate motion vector and adjustal thresholds

    然後，本論文重點研究了mpeg - 4編碼過程中兩項關鍵技術：運動估計和背景圖像編碼。運動估計是編碼過程中最重要，耗時最長的部分。本論文總結了常見的運動估計演算法，深入研究並實現了iso推薦的運動估計優化演算法mvfast ，在此基礎上，引入了時間參考運動向量和可調的門限參考值，對mvfast演算法進行了改進。
  10. The deducing of the algorithms has very practical value in state estimation for systems under the complex environments. in the instance of complicated multi - channel system with multiplicative noise, the dissertation discusses the optimal estimation of state filtering and smoothing and the stochastic input signal with the technique of innovation and projection theorem of hilbert space. the main study of the dissertation is introduced as follows : 1 according to the practical requirement of complicated multi - channel system with multiplicative noise, the dissertation broadens rajasekaran filtering algorithm

    本文針對復雜多通道帶乘性噪聲系統，應用新息的方法和hilbert空間的投影定理，對狀態最優濾波和平滑估計、隨機輸入信號的最優估計等理論與應用方面的問題，進行了進一步的探討，著重完成了以下工作：第一，根據復雜多通道乘性噪聲系統問題的實際需要，推廣了rajasekaran濾波演算法。
  11. As a straightforward method, the full search algorithm ( fs ) is widely used because of its high performance. usually, fs is computationally expensive in a video encoder. as a result, in order to reduce the heavy computational load of fs, active research has focused on fast bmas for a long time and several sub - optimal search algorithms for block - based motion estimation have been developed. these include : three step search ( tss ), four step search ( fss ), two - d logarithmic search, orthogonal search, cross search, etc

    目前塊匹配運動估計演算法有很多，如全搜索法、三步法、共軛方向搜索法、二維對數搜索法、交叉搜索法、鉆石搜索法以及四步搜索法等，它們各有優缺點，全搜索法精度高，但計算量大，三步搜索法和交叉搜索法搜索速度較快，但搜索誤差較大，容易陷入局部最小值。
  12. According to the observed results and the corresponding settlement calculation results, the objective function is established by using the least square method. with the pattern search method, the optimal estimate of the needed inverse - analysis parameter has been gained

    根據實際觀測值與相應的沉降計算值，應用最小二乘法原理建立目標函數，利用模式搜索方法（ hook - jeeves法） ，通過尋優的方式獲得待反演參數的最優估計。
  13. The multiscale model is not only capturing the several important ways in which a data analysis or signal processing problem can have multiscale characteristic, but also leading to an efficient and highly parallelizable algorithm for optimal estimation of stochastic processes

    此模型的的建立不僅是獲取具有多尺度特徵的數據分析或信號處理問題的一種重要方式，同時，利用它還可以為最優估計隨機過程的狀態變量誘導出高度有效、并行迭代演算法。
  14. Signal estimation algorithm for discrete stochastic systems with multiplicative noise is mainly researched in this dissertation

    本文主要研究多通道帶乘性噪聲的離散隨機系統的信號最優估計演算法。
  15. The paper carries on the research of network topology, algorithm of state estimation and detection and identification of bad data, and applies the method of tracking search to network topology, semi - dynamic optimization to node numbering, algorithm of weighted least - squares with constraints to state estimation and rn to detection and identification of bad data. the calculation is made for jinzhong ' s electrical network according to its circumstances in shanxi

    本文對電力系統狀態估計理論中網路拓撲分析、狀態估計演算法、不良數據的檢測與辨識進行了研究，採用獨立於結線方式的跟蹤搜索法進行網路拓撲分析、半動態優化技術進行節點優化，帶約束加權最小二乘法進行狀態估計計算，標準化殘差進行不良數據的檢測與辨識。
  16. Some modeling of maneuvering target tracking is introduced in this thesis, and current statistical model is used as a basic target model. the arithmetic of kalman filtering based on the model is listed. on the foundation of state vector optimal estimation error matrix theory, the arithmetic of optimal estimation is presented, and target tracking simulation is taken

    本文首先介紹了幾種常用的機動目標跟蹤模型，並把現在較為常用的「當前」統計模型作為本文研究的目標模型，並列出了基於該模型下的卡爾曼濾波演算法;此外，在狀態矢量最優加權估計理論的基礎上，引入了目標狀態最優估計誤差協方差矩陣，提出了一種最優加權估計演算法，並進行了目標跟蹤模擬。
  17. Modeling and estimation of a class of dynamic multiscale systems by general compactly supported wavelet

    基於一般緊支撐小波的一類動態多尺度系統最優估計演算法
  18. Thesis [ 36 ] generalized multiplicative noise into a diagonal matrix. but it is also an idealized assumption. the above assumptions are n ' t in accordance with the practical instance in most cases

    文獻[ 36 ]雖然將乘性噪聲推廣為對角陣的情況，給出了多通道乘性噪聲意義下的最優估計演算法，但文章對通道特性做了一種較為理想化的限制。
  19. The prior information of pixel intense distribution is introduced. then simulated annealing algorithm is applied to choose the proper neighborhood structure, and the optimal estimate can be obtained

    引入像素強度的先驗概率分佈模型，運用模擬退火演算法選擇合適的鄰域結構，獲得強度的最優估計。
  20. The details are as followings : the most usual problems related to navigation data fusion are studied ( the local navigation sensors export directly navigation parameters and their accuracies without feedbacks and cross data communications ) ; a novel conservative optimal fusion method of non - feedback multi - source correlated estimators is presented, and this method is extended to the case of more than two data sources ; some new theorems are supplied or proved so that our methods are naturally connected to the achievements up to present, and the integrated theory basis of non - feedback multi - source correlated estimators fusion is founded

    具體內容如下：研究了最一般的導航數據融合問題（局部導航儀直接輸出導航參數及精度，且無反饋、無局部導航儀之間的交叉數據通訊） ；提出了一種新的無反饋多源相關估計向量的保守最優融合演算法，並將該演算法由兩個數據源推廣到了多個數據源；補充證明了一系列定理，從而將本文方法和前人研究成果有機地融為一體，建立了完整的無反饋多源相關估計向量融合的理論體系。
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