Skip to: Main Content Search Navigation Secondary Navigation

Jeffrey Dill

Professor, Graduate Chair/MSEE Online Director
Electrical Engineering and Computer Science
Stocker Center 331
dill@ohio.edu
Phone: 740.593.1572


Research Interests: electrical engineering and computer science, communication theory, spread spectrum communications, error correcting codes

Technical Report (4)

  • Matolak, D., Dill, J. (2002). CDMA Waveform, Multiuser Detection, Compatibility, and Network Strategy Evaluation for TTNT. Ohio University Quarterly Technical Report TTNT#4-31.05.2002, DARPA contract F33615-01-C-1834.
  • Matolak, D., Dill, J. (2002). CDMA Waveform, Multiuser Detection, Compatibility, and Network Strategy Evaluation for TTNT. Ohio University Quarterly Technical Report TTNT#3-31.03.2002, DARPA contract F33615-01-C-1834.
  • Matolak, D., Dill, J. (2001). CDMA Waveform, Multiuser Detection, Compatibility, and Network Strategy Evaluation for TTNT. Ohio University Quarterly Technical Report TTNT#2-30.11.2001, DARPA contract F33615-01-C-1834.
  • Matolak, D., Dill, J. (2001). CDMA Waveform, Multiuser Detection, Compatibility, and Network Strategy Evaluation for TTNT. CDMA Waveform, Multiuser Detection, Compatibility, and Network Strategy Evaluation for TTNT.

Conference Proceeding (10)

  • Dill, J., Cheng, K. (2014). An Improved EZW Hyperspectral Image Compression. Shenzhen, China: The 2nd International Conference on Signal and Image Processing(CSIP 2014).
  • Cheng, K., Dill, J. (2013). Lossless to lossy compression for hyperspectral imagery based on wavelet and 3D binary EZW. Baltimore, MD: SPIE Conference on Defense, Security, and Sensing.
  • Cheng, K., Dill, J. (2013). Efficient Lossless Compression for Hyperspectral Data Based on Integer Wavelets and 3D Binary EZW Algorithm. Baltimore, MD: ASPRS Converence.
  • Cheng, K., Dill, J. (2013). Hyperspectral images lossless compression using the 3D binary EZW algorithm. San Francisco, CA: SPIE Conference on Image Processing Algorithms and Systems.
  • Dill, J. (2012). Target Detection Performance of Compressed Hyperspectral Image Data. 2012. Pasadena, CA: Military Sensing Symposium.
  • Huang, W., Li, H., Dill, J. (2011). Fountain codes with message passing and maximum likelihood decoding over erasure channels . New York, NY: Wireless Telecommunications Symposium (WTS), 2011 ; 1-5.
  • Dill, J. (2011). Low-Loss Compression of Hyperspectral Image Data. 2011. Atlanta, GA: Military Sensing Symposium.
  • Dill, J., Alder, F., Lindsey, A. (2005). Performance of Tail-Biting Circular Trellis Coding. Midway, Utah: Proceedings of Defense Applications of Signal Processing (DASP) 2005, Session ThP1.
  • Alder, F., Dill, J., Linsdsey, A. (1999). Simplex Symbol Assignment in Circular Trellis Coded Modulation. Atlantic City, NJ: Proceedings of MILCOM 1999; 27.6.1-5.
  • Alder, F., Dill, J., Linsdsey, A. (1999). Performance of Simplex Signaling for Circular Trellis Coded Modulation. Starved Rock Park, LaSalle, IL: Proceedings of 2nd Biennial Workshop on Defense Applications of Signal Processing (DASP).

Journal Article, Academic Journal (3)

  • Dill, J., Cheng, K. (2014). Lossless to Lossy Dual-Tree BEZW Compression for Hyperspectral Images. 9. IEEE Trans. On Geoscience and Remote Sensing; 52.
  • Dill, J., Cheng, K. (2014). An Improved EZW Hyperspectral Image Compression. Journal of Computer and Communications, ; 2, 31-36.
  • Alder, F., Dill, J., Linsdsey, A. (2001). Performance of Simplex Signaling in Circular Trellis- Coded Modulation. 2. Digital Signal Processing: A Review Journal; 11: 159-167.

Patents

  • Dill, J., Lopez-Permouth, S., Lindsey, A., Lo, A., Alder, F., Song, X. Apparatus and Method of CTCM Encoding and Decoding for a Digital Communication System. 7,010,052.