Correlation functions for the random binary wave

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ISSN / EISSN : 0096-1965 / 1558-2647
Total articles ≅ 30
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L. Saporta
Correlation functions for the random binary wave, Volume 12, pp 251-251; https://doi.org/10.1109/tcom.1964.1088911

Abstract:
The author describes how to derive the average cross-correlation as ⩾ [-1/(n-1)] (average signal energy), where the averaging is over the ensemble of signals. In the important special case in which all signals have the same energy E and all the cross-correlations are made equal to R, this result reduces to the constraint R ⩾ -[E/(n-1)].
D.S. Rau
Correlation functions for the random binary wave, Volume 12, pp 129-130; https://doi.org/10.1109/TCOM.1964.1088922

Abstract:
Upon the advent of the space age, we find these TRANSACTIONS along with its sponsoring Group being reborn into a broader and brighter future. It is with no feeling of regret, but with one of great elation, that the Guest Editor now reports the demise of the IEEE Transactions on Communications Systems and the birth, in the next issue, of the IEEE Transactions on Communications Technology.
Correlation functions for the random binary wave, Volume 12; https://doi.org/10.1109/TCOM.1964.1088907

Abstract:
Presents the front cover/table of contents for this issue of the periodical.
Correlation functions for the random binary wave, Volume 12; https://doi.org/10.1109/TCOM.1964.1088908

Abstract:
Presents the back cover of the periodical issue.
J.R. Mensch, C.C. Pearson
Correlation functions for the random binary wave, Volume 12, pp 124-125; https://doi.org/10.1109/TCOM.1964.1088895

Abstract:
A multichannel airborne communications system which provides 15 voice frequency channels on a single RF carrier between airborne terminals via radio relay aircraft has been developed, produced and is now operating. In this system, UHF radios, frequency division multiplexer sets, and cordless switchboards are used to obtain transcontinental, telephone-type communications.
Correlation functions for the random binary wave, Volume 12; https://doi.org/10.1109/TCOM.1964.1088887

Abstract:
Presents the back cover of the periodical issue.
F. Haber
Correlation functions for the random binary wave, Volume 12, pp 116-117; https://doi.org/10.1109/TCOM.1964.1088885

Abstract:
In this communication, a family of sampling formulas are developed which have better convergence properties than the standard formula based on amplitude samples taken at the Nyquist rate. Sampling is done at higher than the minimum rate and a sampling function, whose Fourier transform has cosine tapered skirts, is used. Suitable choice of the taper results in a formula with no "crosstalk" at the sampling instants. Interpolation between samples generally requires fewer samples than required by the standard formula. Tables and curves for several cases are provided.
Michael E. Mitchell
Correlation functions for the random binary wave, Volume 12, pp 122-124; https://doi.org/10.1109/TCOM.1964.1088893

Abstract:
This communication extends some earlier results [ibid., vol CS-10, pp. 425-435, December, 1962], on the performance of inhibited error-correction decoders. This extension was made necessary by the fact that an important new type of an inhibited error-control decoder has recently become available. The characteristic feature of these new error-control decoders is the correction of a class of errors which can be adjusted (in real time if desired) to include alternative specified patterns of either random, burst, or both random and burst errors together with detection of a corresponding class of uncorrectable errors, such that either the correction operation or the decoder output can be inhibited when doubtful. Because of this special characteristic, these decoders are called "detecting random-burst" (DRB) decoder
Correlation functions for the random binary wave, Volume 12; https://doi.org/10.1109/tcom.1964.1088886

Abstract:
Presents the front cover/table of contents for this issue of the periodical.
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