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自退卷积(self-deconvolution)方法增强光谱分辨的理论随着计算机技术的发展到七十年代已达到实用阶段。Fourier自退卷积(以下简写为FSD)已成为一个常规应用的计算程序。它丰富并扩大了Fourier红外光谱的应用。FSD方法较之其它分辨力增强方法,例如导数光谱,谱带拟合方法等具有直观和最大限度保持谱峰结构信息等优点。当然应用这项技术时需谨慎选择计算参数,并要对所要求解决的问题有所估计,不致使谱带变形过渡而导
The theory of self-deconvolution to enhance spectral resolution has reached the practical stage with the development of computer technology in the seventies. Fourier self-deconvolution (hereinafter referred to as FSD) has become a routine application of the calculation program. It enriches and expands the application of Fourier infrared spectroscopy. The FSD method has many advantages over other resolution enhancement methods, such as derivative spectrum and band fitting method, which are intuitive and can maximize the information of peak structure. Of course, the application of this technique requires careful calculation of parameters and an estimation of the problem to be solved, without causing the band to distort