Denoiser Properties; An analysis

Denoising; Compressive Sensing; Approximate Message Passing.

doi:https://doi.org/10.14445/22315381/IJETT-V46P249

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Volume 46 | Number 2 | Year 2017 | Article Id. IJETT-V46P249 | DOI : https://doi.org/10.14445/22315381/IJETT-V46P249

Denoiser Properties; An analysis

Denoising, Compressive Sensing, Approximate Message Passing.

Citation :

Denoising, Compressive Sensing, Approximate Message Passing., "Denoiser Properties; An analysis," International Journal of Engineering Trends and Technology (IJETT), vol. 46, no. 2, pp. 282-288, 2017. Crossref, https://doi.org/10.14445/22315381/IJETT-V46P249

Abstract

The main role of a denoising algorithm is to remove noise, errors or perturbations from a signal. A lot of research has been achieved in this area and therefore today’s denoisers can effectively remove large amounts of additive noise. A compressive sensing (CS) reconstruction algorithm scheme seeks to recover a structured signal acquired using a relatively small number of randomized measurements. Typical CS reconstruction algorithms schemes can be cast as iteratively estimating a signal from a perturbed observation. There is an ongoing research on how to effectively employ a generic Denoiser in a CS reconstruction algorithm. The AMP reconstruction technique has proven to integrate with most denoisers (DAMP) and offers an enhanced CS recovery performance while operating tens of times faster than competing methods. This paper seeks to look into an explanation of the exceptional performance of D-AMP by analyzing some of its theoretical properties and features.

Keywords

Denoising, Compressive Sensing, Approximate Message Passing.

References

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