Compressive measurements generated by structurally random matrices: Asymptotic normality and quantization
Quantizing and coding measurements generated by Structurally Random Matrices (SRM). Signal-adaptive coding schemes, with signal properties coded as side information. Measurements distribution is parameterized by signal properties. Results extended to measurements generated by Random Convolution (RC) Matrices. Simulations on real video data show advantage of SRM and RC generated measurements.
structurally random matrices quantization compressed sensing