So extracting effective information from NIR spectrum and optimizing the original spectrum data are crucial to develop ideal mathematical model in NIRS.
从原始光谱中提取有效信息，对原始数据进行优化处理，成为近红外光谱分析中建立较理想数学模型的关键。
As the ideal mathematical model for non-Gaussian impulsive noise, a -stable distribution has been the focus of intensive research in signal processing fields.
稳定分布作为非高斯脉冲噪声的数学模型，已经成为信号处理领域的热点研究课题。
Simulation results based on ideal mathematical model and industrial model show that the PID Elman network is prior to the modified Elman network in identification of nonlinear dynamic systems.
无论是理想的数学模型还是实际工业模型，计算机仿真结果均证明，将P ID型网络用于动态系统辨识具有更好的逼近效果。
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