National Natural Science Foundation of China (No.61033004, No.61070138, No.61072104, No.61003148);Research Fund for the Doctoral Program of Higher Education of China (No.20090203110003)
Research Advances in Reconstruction Methods Based on Information Degree-of-Freedom Sampling[J]. Acta Electronica Sinica, 2012, 40(8): 1640-1649.
DOI:
Research Advances in Reconstruction Methods Based on Information Degree-of-Freedom Sampling[J]. Acta Electronica Sinica, 2012, 40(8): 1640-1649. DOI: 10.3969/j.issn.0372-2112.2012.08.023.
Research Advances in Reconstruction Methods Based on Information Degree-of-Freedom Sampling
the limited ability of data acquisition and the high-resolution reconstruction (required by many applications) is an inherent contradiction in modern signal processing.How to reconstruct the signal with high-resolution from a limited number of data is one unsettled problem in the research areas of signal processing
communications
applied mathematics etc.By reviewing the achievements of data acquisition approaches by incomplete sampling and high-resolution reconstruction
an optimization framework for signal reconstruction based on degree-of-freedom of information is abstracted.There are three key aspects in this framework
the degree of freedom of the signal information directly influences the sampling rate
the constraints are determined by the sampling method and the object function is decided by the feature of signal.This paper focuses on the effectiveness of the means used to analyze these data acquisition approaches and the discussion of their advantages and disadvantages.In the end
we propose the research prospect of data acquisition by the incomplete sampling and high-resolution reconstruction and show our new research and result.