The calculation results indicate that the precision of method based on predictive neuron model is evidently higher than that of conventional Durbin algorithm and lattice algorithm.
计算结果表明，运用预测神经元方法所得到的线性预测系数，精度明显高于传统的杜宾算法和格型算法。
This paper uses the adaptive least squares lattice algorithm (LSL) to calculate the spectral estimation of pressure fluctuations in unsteady flow, and describes the principle of the LSL algorithm.
本文应用自适应最小二乘格型（LSL）算法估计非恒定流压力脉动的功率谱密度。
This paper uses the adaptive least squares lattice algorithm (LSL) to calculate the spectral estimation of pressure fluctuations in unsteady flow, and describes the principle of the LSL algorithm.
本文应用自适应最小二乘格型（LSL）算法估计非恒定流压力脉动的功率谱密度。
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