Dongxin Guo

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In traditional compressed sensing MRI methods, single sparsifying transform limits the reconstruction quality because it cannot sparsely represent all types of image features. Based on the principle of basis pursuit, a method that combines sparsifying transforms to improve the sparsity of images is proposed. Simulation results demonstrate that the proposed(More)
The purpose of this article is to solve the problem of reconstructing the under sampling data achieved in the rocket engine experiment. This paper briefly introduces the problems of rocket engine experimental data processing and the theoretical basis of the application of the compressive sensing method based on the MOD (optimal direction method) dictionary(More)
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