Aiming at the problem of low recognition rate and large amount of data in traditional capacitive tomography, a flow pattern recognition method based on compression perceptual theory is proposed. Firstly, the original image gray scale signal is thinned by discrete cosine DCT base, and then the random Gaussian matrix is used for observation. It can use a small amount of data to accurately reconstruct the original signal, reducing the sampling time; at the same time in the imaging algorithm to avoid L1 norm regularization requires a lot of data and L0 norm optimization NP problem. The adaptive Lp (0
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马敏,李明,何小芳,刘亚楠,陈希远.基于压缩传感和自适应Lp范数的ECT图像重建算法研究[J].机床与液压,2018,46(12):25-31. . Research on ECT image reconstruction algorithm based on compression sensing and adaptive Lp norm[J]. Machine Tool & Hydraulics,2018,46(12):25-31