Fast inversion techniques of inteferogram imaging spectrum based on CUDA

In the realtime remote sensing of gas based on inteferogram imaging, fast inversion processing of original data is required.But the data acquired in this way is a large quantity,and the inverse algorithm is also complicated while using CPU for processing is time-consuming.A parallel inversion algorithm using compute unified device architecture (CUDA) was realized by analyzing the patten of data obtained by time-space mix-modulation long-wave infrared interference spectrometer. The results show that the parallel computing technique using CUDA can enhance the efficiency of spectrum inversion by 5 to 20 times,which provides foundations for further application like spectral recognition.