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Fig. 2 | EURASIP Journal on Image and Video Processing

Fig. 2

From: Low storage space for compressive sensing: semi-tensor product approach

Fig. 2

Comparison of the rates of convergence for different dimensions of measurement matrices (M = 128, N = 256, ρ = 0.8). Frame a was obtained from l 0-norm minimization with k = 40. Frame b was obtained from l 0-norm minimization with k = 60. In frame a and b, t = 1, 2, 4 mean the dimensions of the measurement matrices are 128 × 256, 64 × 128, and 32 × 64, respectively

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