波前迭加 的英文怎麼說
中文拼音 [bōqiándiějiā]
波前迭加
英文
addition of wavefronts-
Abstract : based on the iterative bit - filling procedure, a computationally efficient bit and power allocation algorithm is presented. the algorithm improves the conventional bit - filling algorithms by maintaining only a subset of subcarriers for computation in each iteration, which reduces the complexity without any performance degradation. moreover, a modified algorithm with even lower complexity is developed, and equal power allocation is introduced as an initial allocation to accelerate its convergence. simulation results show that the modified algorithm achieves a considerable complexity reduction while causing only a minor drop in performance
文摘:基於迭代的比特和功率分配機制，提出了一種低復雜度的比特和功率分配演算法.與傳統的迭代分配演算法不同，該演算法在每次迭代中只需要比較幾個特定的子載波.該方法在保持傳統迭代演算法性能的前提下極大地減小了迭代分配演算法的復雜度.此外，通過選擇等功率分配方案作為初始方案加快了演算法的收斂速度，進一步降低了演算法復雜度.模擬結果表明，提出的改進演算法在基本不犧牲系統性能的前提下有效地降低了演算法復雜度According to these accomplishments, several techniques are expounded emphatically in this paper, including 3d refraction statics, coherent noise suppression by prestack wave field separating ( prestack fx noise attenuation ), 3d prestack multiple domain random noise attenuation, multiples attenuation, nmo of unsymmetrical hyperbola, dynamic replacement of wave equation, surface - inconsistent residual static, super bin stacking, poststack depth migration and prestack depth migration. all the techniques have been applied in seismic processing of 2d, 3d and wide - line profiling and obtained good results
本文根據項目組研究成果，重點閘述了三維折射波靜校正技術，疊前波場分離相干噪音壓制方法（疊前fx去噪） ，疊前三維多域隨機噪音衰減技術，多次波衰減技術，非對稱雙曲線動校正技術，波動方程動態替換技術，非地表一致性的剩餘時差靜校正技術，超面元迭加處理技術，疊后深度偏移處理，疊前深度偏移處理等。The method has special obvious advantages to diagnosis the faults when several faults exist simultaneously. the paper constructs a three - layer forward neural network to diagnosis the fault and trains the network with characteristic eigenvectors extracted through the wavelet packet analysis, when training the net using the method of adding inertia item and the bp algorithm of conjugate gradient method, at the same time adapt the initial data of the network through the test
同時，文中還構造了三層的前向神經網路，以小波包分析提取的故障特徵向量作為網路的訓練樣本數據，採用加慣性因子、共軛梯度法和迭代過程中改變學習率的反向傳播演算法來對神經網路進行訓練，並採用試驗的方法調整神經網路的初始值。
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