Adaptive matching pursuit with constrained total least squares
نویسندگان
چکیده
منابع مشابه
Adaptive matching pursuit with constrained total least squares
Compressive sensing (CS) can effectively recover a signal when it is sparse in some discrete atoms. However, in some applications, signals are sparse in a continuous parameter space, e.g., frequency space, rather than discrete atoms. Usually, we divide the continuous parameter into finite discrete grid points and build a dictionary from these grid points. However, the actual targets may not exa...
متن کاملErratum to: Adaptive matching pursuit with constrained total least squares
After publication of our work [1], we noticed that equations (41) and (42) (in Appendix 1) were incorrect. This does not affect resulting equations. The correct equations are below:
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2012
ISSN: 1687-6180
DOI: 10.1186/1687-6180-2012-76