红外化学遥感数字信号处理算法的研究进展

介绍了几种为远距离红外蒸汽信号监测开发的分类器设计，频域数字滤波，时域数字滤波等数字信号处理技术。对线性分类器，分段线性分类器和神经网络分类器等在红外化学遥感系统中的应用做了初步的探讨。对背景扣除技术，频域数字滤波技术，数字滤波的切趾方法等做了简要的描述。阐述了时域滤波技术的基本原理及实际应用。展望了红外化学遥感数字信号处理算法的研究前景。

Advances in digitized signal processing algorithms for remote infrared chemical sensing

Some digitized processing techniques developed for remote infrared vapor signal detecting, such as pattern classification, frequency|domain digital filtering and time|domain digital filtering, are introduced. The applications of linear discriminant, piecewise linear discriminant and artificial neural network on remote infrared chemical sensing are preliminarily discussed. The background subtraction, frequency|domain digital filtering and the apodization methods for digital filtering are briefly described. The principle and the usage of time|domain filtering are illustrated. An outlook on digitized signal processing algorithms for remote infrared chemical sensing is given.