Compressive sampling with a successive approximation ADC architecture
|Title||Compressive sampling with a successive approximation ADC architecture|
|Publication Type||Conference Paper|
|Year of Publication||2011|
|Authors||Luo, C., and J.H.. McClellan|
|Conference Name||Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on|
|Keywords||Approximation methods, Compressed sensing, compressive sensing, Frequency domain analysis, Image coding, Quantization, Signal resolution, Signal to noise ratio, successive approximation ADC|
This paper proposes a compressive sampling scheme based on random temporal sampling using a successive approximation register (SAR) ADC architecture. Variable wordlength data samples at random sampling times would be produced by the SAR converter, so a modified reconstruction algorithm is proposed to recover signals that are sparse or compressible in a known basis. The modified reconstruction algorithm addresses the variable wordlength resolution issue of SAR ADC samples introduced by the random sampling scheme. We demonstrate that the proposed sampling and reconstruction scheme performs significantly better compared with uniform sampling on the same SAR ADC architecture.