Paper Info
Title
Companding of spectra from spectral images for reducing noise from coarse quantization.
Abstract
Companding is normally used in communication systems to compensate fluctuating levels in the source power. In this study we apply companding to enhance the coarse quantization of spectra. The spectra are selected front AVIRIS spectral images. Our experiments indicate that the signal-to-noise ratio (SNR) in coarser quantization of spectra may he enhanced front 5 to 9 dB using the mu-law quantization companding.
Year
DOI
Venue
2004
10.1109/IGARSS.2004.1369022
IGARSS
Keywords
Field
DocType
compandors,infrared spectrometers,remote sensing,satellite communication,signal processing,visible spectrometers,μ-law quantization companding,AVIRIS spectral image,Airborne Visible Infrared Imaging Spectrometer,SNR,communication system,noise reduction,signal-to-noise ratio,source power fluctuating level compensation,spectra coarse quantization
Signal processing,Computer science,Remote sensing,Communications system,Spectral line,Companding,Communications satellite,Quantization (signal processing)
Conference
Volume
ISSN
Citations 
1
2153-6996
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Arto Kaarna117427.50