The Effect of Noise on the Optimal Code Transmittance for Compressive Sensing

Abstract

Many compressive sensing architectures perform well in simulation with low transmittance codes. These low levels are deceptive, however, since they result in low signal levels that are more susceptible to noise. Accounting for imaging noise, however, cannot be accurately modeled by simple Gaussian noise. A more complex noise model includes both read and shot noise. Read noise is caused by the system hardware and is independent of signal level. Shot noise is based in the light itself and is related to signal level. This note explores the effect of these noise sources on optimal code transmittance.

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Document Details

Document Type
Technical Report
Publication Date
Dec 20, 2018
Accession Number
AD1065141

Entities

People

  • Michael Don

Organizations

  • United States Army Research Laboratory

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Accounting
  • Algorithms
  • Buildings And Structures
  • Coefficients
  • Compressed Sensing
  • Compression
  • Compression Ratio
  • Department Of Defense
  • Dynamic Range
  • Gaussian Noise
  • Information Operations
  • Inverse Problems
  • Low Noise
  • Measurement
  • Military Research
  • Noise
  • Recovery
  • Shot Noise
  • Signal Processing
  • Simulations
  • Standards
  • Transmittance
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Acoustics.
  • Atmospheric Remote Sensing.
  • Computer Science.