least-square inversion 中文意思是什麼
least-square inversion
解釋
最小平方反演-
Different algorithms were compared in the numerical simulation and model experiment of concrete velocity inversion the results showed that, compared with the least - square solutions and the damped least - square solutions, the damped and natural weighted least - square solutions reflected the inner defections of the tested object more reliably and exactly due to the usage of correct priori information, which benefited the suppression of noises and made the iterations of inverse stable and convergent
結果表明，相對于最小二乘法和阻尼最小二乘法，基於自然權的加權阻尼最小二乘演算法，由於利用了正確的先驗信息，不但使反演過程收斂，而且具有數值穩定、抗噪能力強的優點，其成像結果能真實有效地反映對象內部缺陷，因此更適用於混凝土的超聲波速度反演。 -
The computer simulation results verify the validity of two adaptive algorithms applied to circular array. the algorithms are least square based on qr decompose ( qrd - ls ) and sampling matrix inversion based on qr decompose ( qrd - smi ). then we apply circular array with wideband signal
其次，驗證了基於qr分解的最小二乘演算法（ qrd - ls ）和基於qr分解的采樣矩陣求逆方法（ qrd - smi ）兩種自適應演算法在均勻圓陣中的有效性。 -
Firstly, the inversion of the ground motion with the unknown parameters and limited measurements was studied by the sub - structural identification, and the least - square algorithm of unknown input was built. secondly, based on the estimated input, structural parameter down to the element level was identified in time domain by extended kalman filter algorithm. several cases of a 6 - story frame s
首先，使用子結構識別技術，研究了未知參數、觀測不完整條件下的地震動輸入反演問題，建立了未知輸入的最小二乘估計演算法；其次，在估計地震動輸入的基礎上，使用廣義kalman濾波器方法，識別全部單元結構參數。 -
3 a novel recursive least - square ( rls ) blind space - time receiver algorithm based on the constrained condition, which can completely avoid the matrix inversion introduced into by constraints ( comparing with the normal rls ), is proposed for multi - path slow fading cdma channels. the computational complexity of this method is not only lower than that of the normal rls, but also lower than that of both lms and ls blind space - time receiver methods that are realized based on the rosen ' s gradient projection. and the speed of convergence of the presented rls blind space - time receiver algorithm is better than that of both lms and ls blind space - time receiver methods
3 、針對多徑慢衰落通道下ds - cdma盲空時接收機中線性約束二次規劃問題提出一種新的遞歸最小二乘演算法，該演算法完全避免因約束而引進的矩陣求逆運算（相對于常規的遞歸最小二乘演算法） ，不但運算量比常規的要低，而且比基於rosen梯度投影實現的最小均方（ lms ）與最小二乘盲空時接收機演算法還低，且收斂速度比基於rosen梯度投影實現的最小均方（ lms ）與最小二乘盲空時多用戶檢測都好，將提出的新的遞歸最小二乘演算法與提出的數據選擇方案結合起來可以進一步降低其運算量，具有很大的實用價值，最後通過模擬實驗進一步分析了其性能。 -
Then inversion of the advanced detection is caried out by least square method
然後採用最小二乘法對超前探測視電阻率曲線進行快速反演。 -
The method consists of two stages : sub - structural inversion of ground motion using least - square estimation, and parameter identification using extended kalman filter
本文所建立的方法分為兩個階段：地震動子結構反演和單元結構參數識別。 -
The least square conjugate gradient and odd values decomposition method also can be used to perform tomographic inversion
研製的最小平方共軛梯度演算法和奇異值分解法也可進行同樣的層析反演。
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