A Model for a Self-Adapting Filter - Melvin J. Hinich (Inf. Control., 1962)

Detection of an Unknown Waveform Randomly Recurring in Gaussian Noise - Melvin J. Hinich (Inf. Control., 1967)

The efficiency of level tests in the detection of weak stochastic signals (Corresp.). - Richard A. Groeneveld; Melvin J. Hinich (IEEE Trans. Inf. Theory, 1969)

A method for locating targets using range only. - Lawrence S. Cahoon; Melvin J. Hinich (IEEE Trans. Inf. Theory, 1976)

Array processing using the frequency-wavenumber approach. - Melvin J. Hinich (ICASSP, 1978)

Quadratic multiplexing-A new method for secure communication (Corresp.). - Melvin J. Hinich (IEEE Trans. Inf. Theory, 1979)

Passive target location using bearings from a platform whose track is uncertain (Corresp.). - Melvin J. Hinich (IEEE Trans. Inf. Theory, 1980)

Detecting a transient signal by bispectral analysis. - Melvin J. Hinich (IEEE Trans. Acoust. Speech Signal Process., 1990)

Detection of non-Gaussian signals in non-Gaussian noise using the bispectrum. - Melvin J. Hinich; Gary R. Wilson (IEEE Trans. Acoust. Speech Signal Process., 1990)

Statistical Spectral Analysis: A Nonprobabilistic Theory (William A. Gardner). - Melvin J. Hinich (SIAM Rev., 1991)

Higher-Order Cumulant Spectral-Based Statistical Tests of Pseudo-Random Variate Generators. - John W. Dalle Molle; Melvin J. Hinich; Douglas J. Morrice (WSC, 1992)

Empirical chaotic dynamics in economics. - William A. Barnett; Melvin J. Hinich (Ann. Oper. Res., 1992)

Time delay estimation using the cross bispectrum. - Melvin J. Hinich; Gary R. Wilson (IEEE Trans. Signal Process., 1992)

Estimating linear filters with errors in variables using the Hilbert transform. - Melvin J. Hinich; Warren E. Weber (Signal Process., 1994)

On the principal domain of the discrete bispectrum of a stationary signal. - Melvin J. Hinich; Hagit Messer (IEEE Trans. Signal Process., 1995)

A Filter Bank Approach for Modeling and Forecasting Seasonal Patterns. - Ta-Hsin Li; Melvin J. Hinich (Technometrics, 2002)

Predicting Information Flows in Network Traffic. - Melvin J. Hinich; Robert E. Molyneux (J. Assoc. Inf. Sci. Technol., 2003)

Detecting randomly modulated pulses in noise. - Melvin J. Hinich (Signal Process., 2003)

Detecting finite bandwidth periodic signals in stationary noise using the signal coherence spectrum. - Melvin J. Hinich; Phillip Wild (Signal Process., 2005)

Time Series Analysis by State Space Methods. - Melvin J. Hinich (Technometrics, 2005)

Developing Statistical Software in Fortran 95. - Melvin J. Hinich (Technometrics, 2006)

The dynamics of issue introduction: A model based on the politics of ideology. - Melvin J. Hinich; Michael C. Munger (Math. Comput. Model., 2008)

An Omnibus Test for Time Series Model I(d). - Terence Tai-Leung Chong; Melvin J. Hinich (Commun. Stat. Simul. Comput., 2009)

Analyzing several musical instrument tones using the randomly modulated periodicity model. - Shlomo Dubnov; Melvin J. Hinich (Signal Process., 2009)

Detecting and modeling nonlinearity in the gas furnace data. - Houston H. Stokes; Melvin J. Hinich (Comput. Stat., 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 Therapy. - David L. Sherman; Ning Zhang; Shikha Garg; Nitish V. Thakor; Marek A. Mirski; Mirinda Anderson White; Melvin J. Hinich (Int. J. Neural Syst., 2011)