Name
Abstract | ||
|---|---|---|
The aim of the present paper is to demonstrate the impact of low-pass filter non-idealities on compressed sensing signal reconstruction in the random demodulator (RD) architecture. The random demodulator is a compressed sensing (CS) acquisition scheme capable of acquiring signals in continuous time. One of the main advantages of the system is the possibility to use off-the-shelf components to implement this sub-Nyquist framework. Low-pass filtering plays an important role in the RD analog acquisition process, which needs to be modeled carefully in the digital part of the compressive sensing reconstruction. Having a complete model of the analog front-end, CS algorithms conduct almost perfect reconstruction taking far less samples than for traditional Nyquist-rate sampling. This paper investigates reconstruction sensitivity to distortion in the impulse response of the low-pass filter caused by passive component value fluctuations. The authors simulate common CS recovery algorithms and show that the worst-case performance degradation due to filter component tolerances can be substantial, which requires special attention when designing reconstruction algorithms for RD. |
Year | Venue | Keywords |
|---|---|---|
2011 | Barcelona | demodulation,low-pass filters,sensitivity analysis,cs recovery algorithms,nyquist-rate sampling,rd analog acquisition process,compressed sensing signal reconstruction,filter tolerances,low-pass filter nonidealities,passive component value fluctuations,random demodulation framework,sensitivity,sub-nyquist framework,vectors,mathematical model,compressed sensing,signal to noise ratio |
Field | DocType | ISSN |
Impulse response,Demodulation,Computer science,Control theory,Signal-to-noise ratio,Filter (signal processing),Electronic engineering,Sampling (statistics),Distortion,Compressed sensing,Signal reconstruction | Conference | 2076-1465 |
Citations | PageRank | References |
3 | 0.45 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pawel Jerzy Pankiewicz | 1 | 3 | 0.45 |
| Thomas Arildsen | 2 | 28 | 8.21 |
| Torben Larsen | 3 | 16 | 4.23 |