Memoryless Discrete-Time Detection of a Constant Signal in m-Dependent Noise

IEEE Transactions on Information Theory

Volumn 25, Issue 1, 1979, Pages 54-61

  Thomas, John B ^b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b PRINCETON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION THEORY;

EID: 0018308718     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/TIT.1979.1055983     Document Type: Article

References (11)

1. P. Billingsley, Convergence of Probability Measures. New York: Wiley, 1968.
2. G. E. Noether, “On a theorem of Pitman,” Ann. Math. Stat., vol. 26, pp. 64–68, 1955.
3. J. B. Thomas, An Introduction to Statistical Communication Theory. New York: Wiley, 1969.
4. J. H. Miller and J. B. Thomas, “Detectors for discrete-time signals in non-Gaussian noise,” IEEE Trans. Inform. Theory, vol. IT-18, pp. 241–250, Mar. 1972.
5. W. Pogorzelski, Integral Equations and their Applications, vol. I. Oxford: Pergamon, 1966.
6. W. V. Lovitt, Linear Integral Equations. New York: Dover, 1950.
7. J. F. Barrett and D. G. Lampard, “An expansion for some second-order probability distributions and it's application to noise problems,” IRE Trans. Inform. Theory, vol. IT-1, pp. 10–15, March 1955.
8. P. Beckmann, Orthogonal Polynomials for Engineers and Physicists. Boulder, CO: Golem, 1973.
9. I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products. New York: Academic, 1965.
10. M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions, National Bureau of Standards Applied Mathematics Series 55, June 1964.
11. S. S. Rappaport and L. Kurz, “An optimal nonlinear detector for digital data transmission through non-Gaussian channels,” IEEE Trans. Commun. Technol., vol. COM-14, pp. 266–274, June 1966.