This project, led by Prof. Shi Zhiguo from ISEE, won the first prize of Zhejiang Provincial Natural Science Award. The group reveals the mechanisms of sparse representation for high-dimensional sensing signals, formulating the sparse reconstruction theories for parameter extraction and the knowledge comprehension methods for data learning, providing a systematic solution for the challenging problems in efficient parameter extraction and accurate information understanding for large-scale and high-dimensional signals. the eight representative publications have received 1061 SCI-indexed citations. The group also obtained the invention patents from China, US, and Japan, and received Best Paper Awards from IEEE Signal Processing Society and IET. The research work has been included in a textbook published by Cambridge University Press, and has also been included in the U.S. National Defense Technical Report and NASA Technical Report. Achievements have been successfully applied in Alibaba Group and SORL Auto Parts, Inc., which is selected to the Zhejiang Provincial Future Factory.
