Convenient formulas for quantization efficiency

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

1

Radio Science: Interferometry (1207, 1209, 1242), Radio Science: Radio Astronomy, Radio Science: Signal Processing (0674), Radio Science: Instruments And Techniques (1241)

Scientific paper

Digital quantization of signals prior to processing results in the insertion of a component of noise resulting from the finite number of quantization levels. In radio astronomy, for example, this is important because the number of levels tends to be limited by increasing sample rates, required by the use of increasingly wide bandwidths. We are here concerned with signals with Gaussian amplitude distribution that are processed by cross correlation. Quantization efficiency is the relative loss in signal-to-noise ratio resulting from the quantization process. We provide a method of calculating the quantization efficiency for any number of uniformly spaced levels, as a function of the level spacing, using formulas that are easily evaluated with commonly used mathematical programs. This enables a choice of level spacing to maximize sensitivity or to provide a compromise between the sensitivity and the voltage range of the input waveform.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Convenient formulas for quantization efficiency 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 Convenient formulas for quantization efficiency, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Convenient formulas for quantization efficiency will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1329390

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.