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- W2364274949 abstract "In this paper, a convex optimization technique, which is based on the generalized quantization constraint (GQC), is proposed in the compressive sensing reconstruction using quantized measures. The set size of the proposed GQC can be controlled, and through extensive numerical simulations based on the uniform scalar quantizers, the CS reconstruction errors are improved by 3.4-3.6dB compared to the traditional QC method for the CS problems of m/klogn > 2." @default.
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- W2364274949 date "2009-01-01" @default.
- W2364274949 modified "2023-09-25" @default.
- W2364274949 title "Compressive Sensing Reconstruction Based on the Quantization Constraint Sets" @default.
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