The calculation results indicate that the precision of method based on predictive neuron model is evidently higher than that of conventional Durbin algorithm and latticealgorithm.
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。
2
This paper uses the adaptive least squares latticealgorithm (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。
3
First, the algorithm mines the data for frequent sequences and computes an adjacency lattice.