Journal ArticleDOI
Clipping Loss in the One‐Bit Autocorrelation Spectral Line Receiver
W. R. Burns,Stanton S. Yao +1 more
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TLDR
It is shown that a part of the signal-to-noise deterioration caused by the clipping may be removed by the higher sampling, and the decrease in spectral variance with increased sampling rate is verified.Abstract:
An error analysis of the one-bit autocorrelation method of spectral estimation is presented, and the variance on the autocorrelation estimate and spectral estimate is given. In the nonclipped (many-bit) case, the normal Nyquist sampling rate of 2B is sufficient. Higher sampling rates do not further improve the spectral estimate. In the clipped (one-bit) case, increasing the sampling rate does improve the estimate. The present work was initiated to examine this effect. The results verify the decrease in spectral variance with increased sampling rate. Itis shown that a part of the signal-to-noise deterioration caused by the clipping may be removed by the higher sampling. An increased sampling rate from 2B to 4B, however, achieves most of the available improvement.read more
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Journal ArticleDOI
The very large array: Design and performance of a modern synthesis radio telescope
TL;DR: In this article, the authors discuss the design and performance of the very large array (VLA) in general, and describe the VLA in particular, under the seven headings: array geometry design, sensitivity considerations, phase stability requirements, signal transmission system, delay and correlator system, control system, and data-reduction requirments.
Journal ArticleDOI
Digital-correlation techniques in radio science.
J. B. Hagen,D. T. Farley +1 more
TL;DR: In this paper, various digital techniques for estimating the autocorrelation function of a signal are analyzed, with emphasis on methods applicable to radio-astronomy and incoherent-scatter studies of the ionosphere.
Journal ArticleDOI
Incoherent Scatter Correlation Function Measurements
TL;DR: The statistical errors associated with various forms of multi-bit (no quantization errors in the sampling process), one-bit, and hybrid estimators of the correlation function are calculated and compared, both for large and small signal-to-noise ratios.
Journal ArticleDOI
The 1024 channel digital correlator receiver of the Gauribidanur radioheliograph
TL;DR: A low frequency (40-150 MHz) radioheliograph for observations of the solar corona is in operation for the last few years at the Gauribidanur radio observatory, about 100 km north of Bangalore as discussed by the authors.
Book ChapterDOI
5.5. Very Long Baseline lnterferometric Observations and Data Reduction
TL;DR: In this article, the authors present an overview of very long baseline interferometric (VLBI) observations and data reduction, where the received signals are recorded, undetected, on magnetic tape under the control of atomic frequency standards and reproduced at a later time and processed to give interference fringes.
References
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Journal ArticleDOI
The spectrum of clipped noise
J. H. Van Vleck,David Middleton +1 more
TL;DR: In this paper, the authors calculate the intensity spectrum to be expected for clipped (also called "limited") noise, where the limiting amplitude is very small compared to the rms amplitude before clipping.
Journal ArticleDOI
Probability Integrals of Multivariate Normal and Multivariate $t^1$
Dissertation
A digital spectral analysis technique and its application to radio astronomy
TL;DR: An indirect method of computing the autocorrelation function of a signal having Gaussian statistics which greatly reduces the amount of digital processing that is required is presented.
Journal ArticleDOI
Orthant Probabilities for the Quadrivariate Normal Distribution
TL;DR: In this paper, the orthoscheme probability is expressed as a linear combination of six ortho-scheme probabilities, i.e., the probability that all the positive points of all the points will be simultaneously positive.
Journal ArticleDOI
Polarity coincidence correlation detection of a weak noise source
TL;DR: One application of sample polarity coincidence correlation to the detection of a weak noise source in background noise is briefly described.