最小方差近似 的英文怎麼說
中文拼音 [zuìxiǎofāngchājìnsì]
最小方差近似
英文
minimum-squared-error approximation- 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
- 小 : Ⅰ形容詞1 (體積、面積、數量、強度等不大) small; little; petty; minor 2 (年紀小的; 年幼的) youn...
- 方 : Ⅰ名詞1 (方形; 方體) square 2 [數學] (乘方) involution; power 3 (方向) direction 4 (方面) ...
- 差 : 差Ⅰ名詞1 (不相同; 不相合) difference; dissimilarity 2 (差錯) mistake 3 [數學] (差數) differ...
- 近 : Ⅰ形容詞1 (空間或時間距離短) near; close 2 (接近) approaching; approximately; close to 3 (親...
- 近似 : approximate; similar; approach; approximation; roughness; propinquity
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A new computational formula to nonlinear adjustment by parameters, in consideration of the second - order terms, is derived in this paper from the precise orthogonality condition equations to nonlinear least squares by analyzing the direct solving process and iterative computing method of the linearized model
在分析線性化的非線性參數平差的近似直接解法與迭代解法基礎上,利用非線性最小二乘的精確正交性條件方程,推導出顧及到二次項的非線性參數平差的一種新的計算公式。The water quality respond relation of input - output measurements are established by systematic theory in this paper. according to the peculiarity of hydrology and the necessity of water quality inverse problem the multi - parameter inverse problem model based on ordinary differential equation is developed. the existence and uniqueness of the solution of the ordinary differential equation about two parameters or multi - parameter are to be proved. the unstability depending on errors between monitoring data and interpolation approximate data are analyzed and demonstrated. cubic spline interpolation function, the least two multiply and positive rule method are conjoined for obtained solution of multi - parameter. the results from this algorithm indicats its efficient to the multi - parameter identification in water quality modeling
本文應用系統理論,建立了水質多參數輸入輸出之間的響應關系;根據河流水文水質變化特點和參數反問題的需求,建立了水質常微分方程多參數反問題模型.根據常微分方程參數反問題的數學理論,作者給出了兩參數和多參數水質常微分方程反問題的解的存在性、唯一性的理論證明過程和結論;還針對水質現有監測資料的測驗誤差和插值近似計算誤差造成參數反問題的不穩定性,將三次樣條插值函數、超定方程最小二乘法和正則化演算法有機地結合使用,成功地給出了水質參數反問題的穩定化演算法.最後給出了應用計算結果An on - line minimum - variance estimator was developed for thrust acceleration applied to orbit transfer using discrete - time radar measurements. the mass - flow - rate of propellant was selected as a state variant, which was estimated by employing an integral state model and ekf filter. the variation equations for measurement vector to mass - flow - rate have been established to linearize the discrete - time measurement equations. the algorithm has applied successfully to maneuver process in commanding satellite into geo - stationary orbit. the results show that the algorithm developed here can monitor and determine whether engine works well or failure precisely and quickly during orbit transfer process
飛行器軌道機動過程中,為跟蹤、定位機動目標和干預機動控制過程,需要統計處理離散的雷達觀測量實時估計推進發動機的推力,進而確定飛行器的瞬時軌道參數.本文所述演算法是該工程問題的探討和解決方案.文章建立了軌道機動過程中連續變質量運動模型和離散雷達量測模型,推進發動機的質量秒耗量作為表徵推力加速度的一個近似常量,應用擴展卡爾曼濾波對離散的雷達測量數據進行順序統計處理給出秒耗量的最小方差估計;文章詳細地推導了線性化量測模型的變分方程和觀測矩陣;模擬結果表明該演算法能快速、準確地估計推進發動機的質量秒耗量和向機動目標施加的實際推力A multisensor convex linear statistic fusion modal for optimal interval estimation fusion is established. a gauss - seidel iteration computation method for searching for the fusion weights is suggested. in particular, we suggest convex combination minimum variance fusion that reduces huge computation of fusion and yield approximately optimal estimate performance generally, moreover, may achievers exactly optimal performance in some cases
建立了一種最優區間估計融合模型? ?多傳感器凸線性組合,並給出搜索最優權系數的gauess - seidel迭代演算法,另外,給出了一種近似的區間估計融合? ?凸線性組合的最小方差融合,它能減少大量的計算量。A selection method of serm factorizations for linear transforms is presented. it is discovered that the near optimal results are almost everywhere and when the factorization error is small, the closer the permutation matrices, the closer the results. according this fact, a local search is proposed that based near optimal factorization method which can obtain the near optimal results. moreover, this method convergence very fast, can usually obtain useful results by very limited iterations. it is tested lossless image coding with the selection results and good results is obtained
通過大量的實驗,發現serm分解的近似最優結果是大量存在的,而且這些近似最優結果的分佈是分散的,當分解結果的誤差度量比較小時的時候,有當置換矩陣相近時,分解結果的誤差也相近的實驗事實。基於此觀察結果,給出了基於局部搜索的serm分解的近似最優分解方法,可以得到非常接近最優分解的結果。Based on the analysis of previous work in detail, a scheme of a - posteriori error estimation is introduced into the local boundary integral equation method ( lbiem ), which is constructed with the difference between the raw solutions of lbiem and the post - processing solutions with taylor expansion and moving least square approximation ( mlsa )
通過對無網格演算法在誤差估計方面的工作分析,根據原始解和后處理解的不同,將一種誤差佑計的方案引入到局部邊界積分方程方法中,其中后處理解採用泰勒展開和移動最小二乘近似得到。After converting multiple speckle noise to additional gaussian noise, we achieve the mmse estimate of sar image wavelet coefficient
將乘性噪聲轉化為近似加性高斯噪聲,可以獲得sar圖像小波系數的最小方差估計。So it is not enough if we only execute linear analysis to a cable - stayed bridge ; 2 ) when live loads are distributed to full span the effects of geometric nonlinear for the structure are smaller than to two side spans or mid - span only ; 3 ) linear analysis is enough to live loads since the difference between linear analysis and nonlinear analysis to the structure is relatively small under live loads ; 4 ) the effects of every geometric nonlinear element to decision final shape parameters are very little, and the results of linear and nonlinear are nearly equal ; 5 ) under construction the effects of geometric nonlinear to cable - stayed bridges must be considered
2 )活載作用下,加載方式不同,非線性的影響結果也不一樣,其中按全橋滿布方式進行加載時受幾何非線性的影響最小。 3 )活載作用下,可以用線性分析的手段對活載進行近似計算,以便減少計算量。 4 )各非線性因素對結構最終形態確定參數的影響非常小,線性結果與非線性結果相差無幾。Two interactive segmentation methods, snake ( active contour ) and live wire, which are very popular, have been introduced for the medical image segmentation. a snake is a spline curve, which is controlled by an energy equation. to minimize the snake ' s total energy, the finite difference and greedy algorithm have been implemented
論文引入了snake和livewire兩種十分流行的醫學圖像交互分割方法,詳細推導snake的能量方程,實現了最小化能量方程的有限差分和greedy兩種演算法,並利用鄰近圖像的相似性,將其成功應用於圖像序列的分割; livewire是一種象素級的輪廓搜索演算法,它在方向圖中找到開始點和目標點之間的最小代價路徑。分享友人