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  1. IRE Transactions on Information Theory
  2. Year : 1958 Volume : 4
  3. Issue 4
  4. Capacity of a certain asymmetrical binary channel with finite memory
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Year : 1962 Volume : 8
Year : 1961 Volume : 7
Year : 1960 Volume : 6
Year : 1959 Volume : 5
Year : 1958 Volume : 4
Issue 4
A broader base for the PGIT
Time statistics of noise
Multiple error correction by means of parity checks
The utility of a communication channel and applications to suboptimal information handling procedures
Capacity of a certain asymmetrical binary channel with finite memory
The fourth product moment of infinitely clipped noise
A Markoff envelope process
Prediction and filtering for random parameter systems
A criterion for the diagonal expansion of a second-order probability distribution in orthogonal polynomials
On signal parameter estimation
On Manasse, Price, and Lerner, ‘Loss of signal detectability in band-pass limiters’
Issue 3
Issue 2
Issue 1
Year : 1957 Volume : 3
Year : 1956 Volume : 2
Year : 1955 Volume : 1

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Capacity of a certain asymmetrical binary channel with finite memory

Content Provider IEEE Xplore Digital Library
Author Chang, Sze-Hou
Copyright Year 1955
Abstract The capacity of a certain asymmetrical binary channel is studied under the following conditions. 1) Blocks of equal numbers of binary digits are used as the transmitting symbols. 2) The channel resumes its quiescent state at the beginning of each block. 3) The memory of the channel is characterized by the dependence of the noise probabilities for each digit upon the preceding digit or digits in the same block. It is shown that, by means of simple rules and with the aid of a single set of curves or a table, the calculation of the capacity can be reduced to a routine process.
Starting Page 152
Ending Page 159
Page Count 8
File Size 920184
File Format PDF
ISSN 00961000
Volume Number 4
Issue Number 4
Language English
Publisher The Institute of Radio Engineers, Inc. (IRE)
Publisher Date 1958-01-01
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Noise Channel capacity Capacity planning Finite element analysis Educational institutions Entropy
Content Type Text
Resource Type Article
Subject Library and Information Sciences Information Systems Computer Science Applications
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