T. Kailath, “Correlation Detection of Signals Perturbed by a Random Channel,” IRE Trans. Information Theory, 6(3):361-366, June 1960.
T. Kailath, “Solution of an Integral Equation Occurring in Multipath Communications Theory,” IRE Trans. Information Theory, 6(3):412, June 1960.
T. Kailath, “Review of `Theory of random functions and its application to problems of automatic control,' by V.S. Pugachev, (Fizmatgiz, Moscow; 1957. 730 pages.)” IRE Trans. Information Theory, 8(1):69-70, January 1962.
T. Kailath, “On Multi-link and Multi-Dimensional Channels,” IRE Trans. Information Theory, 8(3):260-262, April 1962.
T. Kailath, “Measurements on Time-Variant Communications Channels,” IRE Trans. Information Theory, 8(5):229-236, September 1962. (Also, Proc. IEEE Int'l. Symp. on Inform. Thy., Brussels, Belgium, 1962.)
T. Kailath, “Report on Progress in Information Theory in the USA, 1960-1963, Pt. IV: Time-Variant Communication Channels,” IRE Trans. Information Theory, 9(4):223-264, October 1963. (Also, IEEE Int'l. URSI Assembly, Tokyo, Japan, Sept. 1963.)
J.P. Schalkwijk and T. Kailath, “A Coding Scheme for Additive Noise Channels with Feedback, Pt. I: No Bandwidth Constraint,” IEEE Trans. Information Theory, 12(2):172-182, April 1966.
T. Kailath, “The Complex Envelope of White Noise,” IEEE Trans. Information Theory, 12(3):397-398, July 1966.
T. Kailath, “Some Integral Equations with Nonrational Kernels,” IEEE Trans. Information Theory, 12(4):442-447, October 1966.
T. Kailath, “A Simple Rule for Checking the Validity of Certain Detection Formulas” IEEE Trans. Information Theory, 13(1):144-145, January 1967.
T. Kailath, “A Projection Method for Detection in
T. Kailath, “A Simple Example of an Explicit Nonlinear Predictor,” IEEE Trans. Information Theory, 4(4):600, July 1968.
T. Kailath, “A General Likelihood-Ratio Formula for Random Signals in Gaussian Noise,” IEEE Trans. Information Theory, 15(3):350-361, May 1969.
T Kailath, “Fredholm Resolvents, Wiener-Hopf Equations and Riccati Differential Equations,” IEEE Trans. Information Theory, 15(6):655-672, November 1969.
T. Kailath, “Likelihood Ratios for Gaussian Processes,” IEEE Trans. Information Theory, 16(3):276-288, May 1970. (Also, IEEE Int'l. Symp. on Inform. Thy., Dulna, USSR, June 1969.)
T. Kailath, “A Further Note on a General Likelihood Formula For Random Signals in Gaussian Noise,” IEEE Trans. Information Theory, 16(4):393-396, July 1970.
T. Kailath, “An RKHS Approach to Detection and Estimation Problems Pt. I: Deterministic Signals in Gaussian Noise,” IEEE Trans. Information Theory, 17(5):530-549, September 1971.
T. Kailath, R. Geesey and H. Weinert, “Some Relations Between RKHS Norms, Innovation Representations and Fredholm Equations,” IEEE Trans. Information Theory, 18(3):341-348, May 1972.
T. Kailath and D.L. Duttweiler, “An RKHS Approach to Detection and Estimation Theory, Pt. III: Generalized Innovations Representations and a Likelihood Ratio Formula,” IEEE Trans. Information Theory, 18(6):730-745, November 1972.
D.L. Duttweiler and T. Kailath, “An RKHS Approach to Detection and Estimation Theory, Pt. IV: Non-Gaussian Detection Problems,” IEEE Trans. Information Theory, 19(1):19-28, January 1973.
D.L. Duttweiler and T. Kailath, “An RKHS Approach to Detection and Estimation Theory Pt. V: Some Parameter Estimation Problems,” IEEE Trans. Information Theory, 19(1):29-37, January 1973.
T. Kailath, “Some New Algorithms for Recursive Estimation in Constant Linear Systems,” IEEE Trans. Information Theory, 19(6):750-760, November 1973.
T. Kailath,”A View of Three Decades of Linear Filtering Theory,” IEEE Trans. Information Theory, 20(2):145-181, March 1974.
G.S. Sidhu and T. Kailath, “Development of New Estimation Algorithms by Innovations Analysis and Shift-Invariance Property,” IEEE Trans. Information Theory, 20(6):759-762, November 1974.
T. Kailath and H. Weinert, “An RKHS Approach to Detection and Estimation Problems -- Part II: Gaussian Signal Detection,” IEEE Trans. Information Theory, 21(1):15-23, January 1975.
A. Segall and T. Kailath, “The Modeling of Random Modulated Jump Processes,” IEEE Trans. Information Theory, 21(2):135-143, March 1975.
A. Segall,M. Davis and T. Kailath, “Nonlinear Filtering with Counting Observations,” IEEE Tran. Information Theory, 21(2):143-149, March 1975.
T. Kailath, “Comment on `A Note on the Use of Chandrasekhar Equations for the Calculation of the Kalman Gain Matrix,' by R.F. Brammer,” IEEE Trans. Information Theory, 21(3):336-337, May 1975.
A. Segall and T. Kailath, “Orthogonal Functionals of Independent-Increment Processes,” IEEE Trans. Information Theory, 22(3):287-298, May 1976.
L. Ljung and T. Kailath, “Backwards Markovian Models for Second-Order Stochastic Processes,” IEEE Trans. Information Theory, 22(4):488-491, July 1976.
T. Kailath, B. Levy, L. Ljung and M. Morf, “Fast Time-Invariant Implementations of Gaussian Signal Detectors,” IEEE Trans. Information Theory, 24(4):469-477, July 1978.
G.C. Verghese and T. Kailath, “A Further Note on Backwards Markovian Models,” IEEE Trans. Information Theory, 25(1):121-124, January 1979.
T. Kailath, “Review of `Factorization Methods for Discrete Sequential Estimation' by G. Bierman,” IEEE Trans. on Information Theory, 26(1):130-131, January 1980.
H. Lev-Ari and T. Kailath, “Lattice Filter Parametrization and Modeling of Nonstationary Processes,” IEEE Trans. Information Theory, 30(1):2-16, January 1984.
H. Lev-Ari, J. Cioffi and T. Kailath, “Least-Squares Adaptive Lattice and Transversal Filters: A Unified Geometric Theory,” IEEE Trans. Information Theory, (special issue), 30(3):222-236, March 1984.
A.M. Bruckstein and T. Kailath, “Recursive Limited Memory Filtering and Scattering Theory,” IEEE Trans. Information Theory, 31(3):440-443, May 1985.
H. Lev-Ari, S.R. Parker and T. Kailath, “Multi-Dimensional Maximum-Entropy Covariance Extension,” IEEE Trans. Information Theory, 35(3):497-508, May 1989.
Y. Bistritz, H. Lev-Ari and T. Kailath, “Immittance-Domain Levinson Algorithms” IEEE Trans. Information Theory, 35(3):675-681, May 1989.
K.Y. Siu, J. Bruck, T. Kailath and T. Hofmeister, “Depth Efficient Neural Networks for Division and Related Problems,” IEEE Trans. Information Theory, 39(3):946-956, May 1993.
K.Y. Siu, V. Roychowdhury and T. Kailath, “Rational Approximation Techniques for Analysis of Neural Networks,” IEEE Trans. Information Theory, 40(2):455-466, March 1994.
L Tong, G. Xu and T. Kailath, “Blind Identification and Equalization Based on Second-Order Statistics: A Time Domain Approach,” IEEE Trans. Information Theory, 40(2):340-349, March 1994.
L. Tong, G. Xu, B. Hassibi and T. Kailath, “Blind Channel Identification Based on Second-Order Statistics: A Frequency-Domain Approach,” IEEE Trans. Information Theory, 41(1):329-333, Jan. 1995.
T. Constantinescu, A.H. Sayed, and T. Kailath., "Displacement Structure and Maximum Entropy," IEEE Trans. Information Theory, 43 (3): 1074-1080, May 1997.
B. Suard, Xu Guanghan, Liu Hui, and T. Kailath, "Uplink CHannel Capacity of Space-Division-Multiple-Access Schemes," IEEE Trans. Information Theory, 44(4):1468-1476, July 1998.
T. Kailath and H.V. Poor, "Detection of Stochastic Processes," IEEE Trans. Information Theory, 44 (6): 2230-2231, October 1998.