Bayesian Signal Recovery Under Measurement Matrix Uncertainty: Performance Analysis
نویسندگان
چکیده
منابع مشابه
Anti-measurement Matrix Uncertainty Sparse Signal Recovery for Compressive Sensing
Compressive sensing (CS) is a technique for estimating a sparse signal from the random measurements and the measurement matrix. Traditional sparse signal recovery methods have seriously degeneration with the measurement matrix uncertainty (MMU). Here the MMU is modeled as a bounded additive error. An anti-uncertainty constraint in the form of a mixed 2 and 1 norm is deduced from the sparse ...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2930236