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1
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84885474720
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Two-dimensional harmonic retrieval using cumulants
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Sept. Multidimensional Systems and Signal Processing accepted.
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J. Anderson and G. B. Giannakis, “Two-dimensional harmonic retrieval using cumulants,” Proc. 7th Workshop Multidimensional Signal Processing (Lake Placid, NY), Sept. 1991, pp. 2-10; Multidimensional Systems and Signal Processing, 1994, accepted.
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Proc. 7th Workshop Multidimensional Signal Processing
, vol.1994
, pp. 2-10
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Anderson, J.1
Giannakis, G.B.2
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2
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0005473713
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Optimum quadratic detection of a random vector in Gaussian noise
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Computation and interpretation of kth order spectra
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B. Harris, Ed. New York: Wiley
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D. R. Brillinger and M. Rosenblatt, “Computation and interpretation of kth order spectra,” in Spectral Analysis of Time Series, B. Harris, Ed. New York: Wiley, 1967).
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Spectral Analysis of Time Series
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Brillinger, D.R.1
Rosenblatt, M.2
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5
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84939327613
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Asymptotic theory of mixed time averages and kth-order cyclic-moment and cumulant statistics
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to appear Proc. 25th Conf. Inform. Sci(Baltimore) March
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A. V. Dandawate and G. B. Giannakis, “Asymptotic theory of mixed time averages and kth-order cyclic-moment and cumulant statistics,” IEEE Trans. Inform. Theory, 1995 (to appear) Proc. 25th Conf. Inform. Sci. (Baltimore), March 1991, 976–983.
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IEEE Trans. Inform. Theory
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Dandawate, A.V.1
Giannakis, G.B.2
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6
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0028485674
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Consistent identification of stochastic linear systems with noisy input-output data
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Aug. to appear
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A. N. Delopoulos and G. B. Giannakis, “Consistent identification of stochastic linear systems with noisy input-output data,” Automatica, vol. 30, Aug. 1994 (to appear).
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Automatica
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Delopoulos, A.N.1
Giannakis, G.B.2
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7
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Strongly consistent identification algorithms and noise insensitive MSE criteria
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Aug.
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A. N. Delopoulos and G. B. Giannakis “Strongly consistent identification algorithms and noise insensitive MSE criteria,” IEEE Trans. Signal Processing, vol. 40, no. 8, pp. 1955–1970, Aug. 1992.
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IEEE Trans. Signal Processing
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Delopoulos, A.N.1
Giannakis, G.B.2
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10
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0024627342
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Identification of non-minimum phase systems using higher-order statistics
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Mar.
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G. B. Giannakis and J. M. Mendel, “Identification of non-minimum phase systems using higher-order statistics,” IEEE Trans. ASSP, vol. 37, pp. 360–377, Mar. 1989.
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Giannakis, G.B.1
Mendel, J.M.2
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11
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0025544601
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Non-parametric estimation of autocorrelation and spectra using cumulants and polyspectra
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(San Diego, CA) July
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G. B. Giannakis and A. N. Delopoulos, “Non-parametric estimation of autocorrelation and spectra using cumulants and polyspectra,” in Proc. SPIE ‘90 (San Diego, CA), July 1990, vol. 1348, 503–517.
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in Proc. SPIE ’90
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Giannakis, G.B.1
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12
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A unifying view of cumulant and polyspectral measures for nonGaussian signal classification and estimation
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Mar.
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G. B. Giannakis and M. K. Tsatsanis, “A unifying view of cumulant and polyspectral measures for nonGaussian signal classification and estimation,” in IEEE Trans. Inform. Theory, vol. 38, pp. 386–406, Mar. 1992.
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IEEE Trans. Inform. Theory
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Giannakis, G.B.1
Tsatsanis, M.K.2
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13
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0021386766
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Asymptotically memoryless discrete-time time detection of Ømixing signals in Ø-mixing noise
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D. R. Halverson and G. L. Wise, “Asymptotically memoryless discrete-time time detection of Ø-mixing signals in Ø-mixing noise,” IEEE Trans. Inform. Theory, vol. IT-30, pp. 415–417, 1984.
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Halverson, D.R.1
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Detection of non-Gaussian signals in non-Gaussian noise using the bispectrum
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July
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M. J. Hinich and G. R. Wilson, “Detection of non-Gaussian signals in non-Gaussian noise using the bispectrum,” IEEE Trans. Acoustic., Speech, Signal Processing, vol. 38, no. 7, 1126–1131, July 1990.
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IEEE Trans. Acoustic., Speech, Signal Processing
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Hinich, M.J.1
Wilson, G.R.2
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16
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Recent advances in non-Gaussian autoregressive processes
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Chapter 4 S. Haykin, Ed. Englewood Cliffs, NJ: Prentice-Hall
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S. M. Kay and D. Sengupta, “Recent advances in non-Gaussian autoregressive processes,” Chapter 4 in Advances in Spectrum Analysis and Array Processing, Vol. 1, S. Haykin, Ed. Englewood Cliffs, NJ: Prentice-Hall, 1991.
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Advances in Spectrum Analysis and Array Processing
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Kay, S.M.1
Sengupta, D.2
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18
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Deconvolution and estimation of transfer function phase and coefficients for non-Gaussian linear processes
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K.-S. Lii and M. Rosenblatt, “Deconvolution and estimation of transfer function phase and coefficients for non-Gaussian linear processes,” Ann. Stat., 1195–1208, 1982.
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Ann. Stat.
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Lii, K.-S.1
Rosenblatt, M.2
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19
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Detecting sinusoids in non-Gaussian noise
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Lii, K.-S.1
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20
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Tutorial in higher-order statistics (spectra) in signal processing and system theory: Theoretical results and some applications
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J. M. Mendel, “Tutorial in higher-order statistics (spectra) in signal processing and system theory: Theoretical results and some applications,” Proc. IEEE, pp. 278–305, 1991
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Proc. IEEE
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Mendel, J.M.1
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21
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Optimal linear-quadratic systems for detection and estimation
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Picinbono, B.1
Duvaut, P.2
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Memoryless discrete-time detection of a constant signal independent noise
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H. V. Poor and J. B. Thomas, “Memoryless discrete-time detection of a constant signal independent noise,” IEEE Trans. Inform. Theory, vol. IT-25, no. 1, pp. 54–61, Jan. 1979.
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Poor, H.V.1
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25
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84939379237
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Noise subspace techniques in non-Gaussian noise using higher order statistics
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(accepted)B. M. Sadler, “MUSIC in colored non-Gaussian noise using higher order statistics, ”4th Int. Conf. Advances Commun., Control (Rhodes, Greece)June
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B. M. Sadler, G. B. Giannakis, and S. Shamsunder, “Noise subspace techniques in non-Gaussian noise using higher order statistics,” IEEE Trans. Aerosp. Electron. Syst., 1994 (accepted); B. M. Sadler, “MUSIC in colored non-Gaussian noise using higher order statistics,” 4th Int. Conf. Advances Commun., Control (Rhodes, Greece), June 1993.
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IEEE Trans. Aerosp. Electron. Syst.
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Sadler, B.M.1
Giannakis, G.B.2
Shamsunder, S.3
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26
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Shift and rotation invariant object reconstruction using the bispectrum
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Jan.
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B. M. Sadler and G. B. Giannakis, “Shift and rotation invariant object reconstruction using the bispectrum,” J. Optical Soc. Amer. A, vol. 9, no. 1, pp. 57–69, Jan. 1992.
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J. Optical Soc. Amer. A
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Sadler, B.M.1
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27
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Acousto-optic estimation of correlations and spectra using triple-correlations and bispectra
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Oct.
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B. M. Sadler, G. B. Giannakis, and D. J. Smith, “Acousto-optic estimation of correlations and spectra using triple-correlations and bispectra,” Optical Eng., vol. 31, no. 10, pp. 2139–2147, Oct. 1992.
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Optical Eng.
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, pp. 2139-2147
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Sadler, B.M.1
Giannakis, G.B.2
Smith, D.J.3
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28
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(Minneapolis, MN) Apr.
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B. M. Sadler and G. B. Giannakis, “Detection in non-Gaussian noise using higher order statistics,” Int. Conf. ASSP (Minneapolis, MN), Apr. 1993, vol. IV, pp. 204-207.
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Int. Conf. ASSP
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, pp. 204-207
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29
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Efficient estimation of parameters for non-Gaussian autoregressive processes
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June
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D. Sengupta and S. M. Kay, “Efficient estimation of parameters for non-Gaussian autoregressive processes,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, no. 6, June 1989, pp. 785–794.
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Parameter estimation and GLRT detection in colored non-Gaussian Gaussian autoregressive processes
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Oct.
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D. Sengupta and S. M. Kay, “Parameter estimation and GLRT detection in colored non-Gaussian Gaussian autoregressive processes,” IEEE Trans. Acoust, Speech, Signal Processing, vol. 38, no. 10, Oct. 1990, pp. 1661–1676.
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New York: Springer-Verlag
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Subba Rao, T.1
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Cumulant-based approach to the harmonic retrieval and related problems
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May
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A. Swami and J. M. Mendel, “Cumulant-based approach to the harmonic retrieval and related problems,” IEEE Trans. Signal Processing, vol. 39, no. 5, pp. 1099–1109, May 1991.
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IEEE Trans. Signal Processing
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Approaches to FIR system identification with noisy data using higher-order statistics
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J. K. Tugnait, “Approaches to FIR system identification with noisy data using higher-order statistics,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 38, 1307–1317, July 1990.
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Tugnait, J.K.1
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