Compressive Sampling with Known Spectral Energy Density

Details Compressive Sampling with Known Spectral Energy Density Compressive Sampling with Known Spectral Energy Density

2009-04-13

arxiv.org/abs/0904.1910v2

Computer Science

Information Theory

Submitted to rICT-2009, ITB Research Report 2009

Scientific paper

A method to improve L1 performance of the CS (Compressive Sampling) for signals with known spectral energy density is proposed. Instead of random sampling, the proposed method selects the location of samples to follow the distribution of the spectral energy. Samples collected from three different measurement methods; the uniform sampling, random sampling, and energy equipartition sampling, are used to reconstruct a given UWB (Ultra Wide Band) signal whose spectral energy density is known. Objective performance evaluation in term of PSNR (Peak Signal to Noise Ratio) indicates that the CS reconstruction of random sampling outperform the uniform sampling, while the energy equipartition sampling outperforms both of them. These results suggest that similar performance improvement can be achieved for CS-based devices, such as the compressive SFCW (Stepped Frequency Continuous Wave) radar and the compressive VLBI (Very Large Baseline Interferometry) imaging, allowing even higher acquisition speed or better reconstruction results.

Affiliated with

Also associated with

No associations

Rating

Compressive Sampling with Known Spectral Energy Density does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Compressive Sampling with Known Spectral Energy Density, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Compressive Sampling with Known Spectral Energy Density will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-324031