Melvin J. Hinich - researchr alias

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2011

Detection of Nonlinear Interactions of EEG alpha Waves in the Brain by a New Coherence Measure and its Application to Epilepsy and Anti-Epileptic Drug TherapyDavid Sherman, Ning Zhang, Shikha Garg, Nitish V. Thakor, Marek A. Mirski, Mirinda Anderson White, Melvin J. Hinich. IJNS, 21(2):115-126, 2011. [doi]

Detecting and modeling nonlinearity in the gas furnace dataHouston H. Stokes, Melvin J. Hinich. cstat, 26(1):77-93, 2011. [doi]

2009

An Omnibus Test for Time Series Model ::::I::::(::::d::::)Terence Tai-Leung Chong, Melvin J. Hinich. cssc, 38(1):140-153, 2009. [doi]

Analyzing several musical instrument tones using the randomly modulated periodicity modelShlomo Dubnov, Melvin J. Hinich. sigpro, 89(1):24-30, 2009. [doi]

2008

The dynamics of issue introduction: A model based on the politics of ideologyMelvin J. Hinich, Michael C. Munger. mcm, 48(9-10):1510-1518, 2008. [doi]

2006

Developing Statistical Software in Fortran 95Melvin J. Hinich. technometrics, 48(4):571-572, 2006. [doi]

2005

Detecting finite bandwidth periodic signals in stationary noise using the signal coherence spectrumMelvin J. Hinich, Phillip Wild. sigpro, 85(8):1557-1562, 2005. [doi]

Time Series Analysis by State Space MethodsMelvin J. Hinich. technometrics, 47(3):373, 2005. [doi]

2003

Predicting Information Flows in Network TrafficMelvin J. Hinich, Robert E. Molyneux. jasis, 54(2):161-168, 2003. [doi]

Detecting randomly modulated pulses in noiseMelvin J. Hinich. sigpro, 83(6):1349-1352, 2003. [doi]

2002

A Filter Bank Approach for Modeling and Forecasting Seasonal PatternsTa-Hsin Li, Melvin J. Hinich. technometrics, 44(1):1-14, 2002. [doi]

1995

On the principal domain of the discrete bispectrum of a stationary signalMelvin J. Hinich, Hagit Messer. tsp, 43(9):2130-2134, 1995. [doi]

1994

Estimating linear filters with errors in variables using the Hilbert transformMelvin J. Hinich, Warren E. Weber. sigpro, 37(2):215-228, 1994. [doi]

1992

Empirical chaotic dynamics in economicsWilliam A. Barnett, Melvin J. Hinich. anor, 37:1-15, 1992. [doi]

Time delay estimation using the cross bispectrumMelvin J. Hinich, Gary R. Wilson. tsp, 40(1):106-113, 1992. [doi]

Higher-Order Cumulant Spectral-Based Statistical Tests of Pseudo-Random Variate GeneratorsJohn W. Dalle Molle, Melvin J. Hinich, Douglas J. Morrice. wsc 1992: 618-625 [doi]

1991

Statistical Spectral Analysis: A Nonprobabilistic Theory (William A. Gardner)Melvin J. Hinich. siamrev, 33(4):677-678, 1991. [doi]

1990

Detection of non-Gaussian signals in non-Gaussian noise using the bispectrumMelvin J. Hinich, Gary R. Wilson. tsp, 38(7):1126-1131, 1990. [doi]

Detecting a transient signal by bispectral analysisMelvin J. Hinich. tsp, 38(7):1277-1283, 1990. [doi]

1980

Passive target location using bearings from a platform whose track is uncertain (Corresp.)Melvin J. Hinich. TIT, 26(3):375-378, 1980. [doi]

1979

Quadratic multiplexing-A new method for secure communication (Corresp.)Melvin J. Hinich. TIT, 25(3):354-356, 1979. [doi]

1978

Array processing using the frequency-wavenumber approachMelvin J. Hinich. icassp 1978: 141-142 [doi]

1976

A method for locating targets using range onlyLawrence S. Cahoon, Melvin J. Hinich. TIT, 22(2):217-225, 1976. [doi]

1969

The efficiency of level tests in the detection of weak stochastic signals (Corresp.)Richard A. Groeneveld, Melvin J. Hinich. TIT, 15(4):502-504, 1969. [doi]

1967

Detection of an Unknown Waveform Randomly Recurring in Gaussian NoiseMelvin J. Hinich. iandc, 10(4):394-408, April 1967.

1962

A Model for a Self-Adapting FilterMelvin J. Hinich. iandc, 5(3):185-203, September 1962.

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