IEEE Transactions on Information Theory
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Volume 12 Issue 1 • January 1966
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Previous Titles
- ( 1955 - 1962 ) IRE Transactions on Information Theory
- ( 1953 - 1954 ) Transactions of the IRE Professional Group on Information Theory
Displaying Results 1 - 22 of 22
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Ultimate performance of
Publication Year: 1966, Page(s):2 - 5M -ary transmissions on fading channels
Cited by: Papers (28)One ofMfrequency translates of a common signal is sent over a fading channel and is received in additive white noise. The receiver decides which signal was sent using energy measurements only. It is shown that asMis allowed to become very large, the performance depends only on the probability distribution of received energy per bit, and that this limiting behavior is the same... View full abstract»
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Comparison of sequential and nonsequential detection systems with uncertainty feedback
Publication Year: 1966, Page(s):5 - 8
Cited by: Papers (15)In a previous paper, we found optimal signals for, and evaluated the performance of, a binary sequential detection system in which the detector constantly feeds back to the transmitter its "state of uncertainty" concerning what is being sent. In the present paper, we consider a similar system, which uses a nonsequential detector. Comparison of the results of the two papers shows that: 1) when the ... View full abstract»
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Intersymbol interference and error probability
Publication Year: 1966, Page(s):26 - 34
Cited by: Papers (85)Using a criterion of minimum average error probability we derive a method for specifying an optimum linear, time invariant receiving filter for a digital data transmission system. The transmitted data are binary and coded into pulses of shapepm s(t). The linear transmission medium introduces intersymbol interference and additive Gaussian noise. Because the intersymbol interference is no... View full abstract»
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The information generating function of a probability distribution (Corresp.)
Publication Year: 1966, Page(s):75 - 77
Cited by: Papers (4)
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Efficient recursive estimation of the parameters of a radar or radio astronomy target
Publication Year: 1966, Page(s):35 - 41
Cited by: Papers (7)In radar or radio astronomy we observe a signal whose covariance function depends on some target parameters of interest. We consider here the problem of estimating the values of these parameters from our observation of the signal. One possible procedure is to use the method of maximum likelihood estimation. This method has the advantage that, as the duration of the observation interval becomes lon... View full abstract»
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Distributions of Intervals between Zero crossings of Sine Wave plus Random Noise'
Publication Year: 1966, Page(s):72 - 73
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Estimates of correlation functions of nonstationary random processes (Corresp.)
Publication Year: 1966, Page(s):70 - 72
Cited by: Papers (1)
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Note on a new computational data smoothing procedure suggested by minimum mean square error estimation
Publication Year: 1966, Page(s):9 - 12
Cited by: Papers (2)Computational procedures for obtaining minimum mean square error estimates of parameters are developed for the case in which the observation functions, describing the dependence of observed data on the unknown parameters, can be accurately approximated by expansions through quadratic terms in the unknown parameters. Analytical closed-form solutions are obtained for the minimum mean square error es... View full abstract»
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Discrete search problem in pattern recognition (Corresp.)
Publication Year: 1966, Page(s):69 - 70
Cited by: Papers (19)
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Some relations between error costs and the performance of a Bayes detector (Corresp.)
Publication Year: 1966, Page(s):67 - 68
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Radar signal design subject to simultaneous peak and average power constraints
Publication Year: 1966, Page(s):13 - 26
Cited by: Papers (23)Optimal amplitude modulations for a radar signal are derived and then used to calculate the efficiencies of various sub-optimal modulations. The choice of modulation is constrained by the total energy transmitted and the peak power (amplitude) of the transmitted signal. The peak power constraint is handled by the use of Pontryagin's Maximum Principle, an extension of the calculus of variations rec... View full abstract»
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A generalization of a two-dimensional Fourier transform property for ambiguity functions (Corresp.)
Publication Year: 1966, Page(s):80 - 81
Cited by: Papers (2)
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Generalized maximum likelihood test and minimum error probability (Corresp.)
Publication Year: 1966, Page(s):65 - 67
Cited by: Papers (4)
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Minimum error probability detection for infinitely many hypotheses (Corresp.)
Publication Year: 1966, Page(s): 65
Cited by: Papers (1)
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The expected cost of a dual-hypothesis test (Corresp.)
Publication Year: 1966, Page(s):77 - 78
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The use of an adaptive threshold element to design a linear optimal pattern classifier
Publication Year: 1966, Page(s):42 - 50
Cited by: Papers (80)This paper develops a relationship between two traditional statistical methods of pattern classifier design, and an adaption technique involving minimization of the mean-square error in the output of a linear threshold device. It is shown that the two-category classifier derived by least-mean-square-error adaption using an equal number of sample patterns from each category is equivalent to the opt... View full abstract»
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Average time to loss of lock for an automatic frequency control loop with two fading signals, and a related probability distribution (Corresp.)
Publication Year: 1966, Page(s):73 - 75
Cited by: Papers (16)
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An expansion of a signal in Gaussian elementary signals (Corresp.)
Publication Year: 1966, Page(s):81 - 82
Cited by: Papers (58)
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An adaptive realization of the optimum receiver for a synchronous recurrent waveform (Corresp.)
Publication Year: 1966, Page(s):78 - 80
Cited by: Papers (5)
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Analog communication over randomly-time-varying channels
Publication Year: 1966, Page(s):51 - 63
Cited by: Papers (22)The problem of analog communication over a randomly-time-varying channel is considered. An analog source generates a message which is assumed to be a sample function from a Gaussian random process. The message is passed through a linear realizable system before modulation. (This corresponds to the pre-emphasis network in FM.) The output of this system is the modulating signal for a no-memory modul... View full abstract»
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On a pattern classification result of Aizerman, Braverman, and Rozonoer (Corresp.)
Publication Year: 1966, Page(s):82 - 83
Cited by: Papers (7)
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IEEE Transactions on Information Theory publishes papers concerned with the transmission, processing, and utilization of information.
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Department of Electrical and Computer Engineering