Signal Processing: Signal and Data Modeling Theory and Applications; Efficient Source Coding; Encryption; High Noise Mitigation;
Signal Coding for Communications: Acoustic, Speech, and Video. Nonlinear and nonstationary time-series analysis; Nonlinear methods for signal
processing and for modeling biological processes;
Neural Engineering: Biological Signal Analysis for Medical Applications; Noninvasive
imaging of neural activity; Models of sensory processing; Photic brain stimulation, Brain-based computer interfaces.
A. Moore, I. Gorodnitsky, J. Pineda. EEG mu component responses to viewing emotional faces.
Behavioural Brain Research. Vo. 226(1), pp 309-16. doi:10.1016. (2012).
A Yen and I. Gorodnitsky. An Improved Oscillator Method for Modeling Structured Speech.
GLOBCOM. December, (2011).
A. Moore, I. Gorodnitsky, J. Pineda. Mu rhythm mirroring response to emotional faces: comparison of blind source
separation and channel-based EEG analysis techniques. Cognitive Neuroscience Society Meeting. (2011).
A Yen and I. Gorodnitsky. Introducing COMPACT: An oscillatorbased approach to toll-quality speech coding at low bit rates.
MILCOM. ISSN: 2155-7578. pp 293-7 (2010).
I Gorodnitsky. A Review of neural mechanisms affected by photic
stimulation. ARFL White paper. (2008).
I Gorodnitsky. Impact of Intermittent Light on Normal Brain Function.
Some of the work presented at this
Web Site has been sponsored by Los Alamos Natl Laboratory, McDonnell-Pew
Foundation, National Institute of Health (multiple); the National Science Foundation Grants MIP-922055,
EIA- 9806107, IIS-0082119, ONR Grant N00014-94-1-0856, Marine Corps,
Air Force Research Laboratory, and Civilian Research & Development Foundation. The
findings expressed here do not necessarily reflect the views of the