Books

• D. May, Nonlinear Dynamic Invariants For Continuous Speech Recognition, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, May 2008.
  
  
• W. Jenkins, Real-Time Vehicle Performance Monitoring with Data Integrity, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, October 2006.
  
  
• M. Crocker, A Bandwidth Estimation Method for IP Version 6 Networks, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, October 2006.
  
  
• T. Stanley, A Robust Architecture for Human Language Technology Systems, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, May 2006.
  
  
• S. Raghavan, Applications of Large Vocabulary Continuous Speech Recognition to Fatigue Detection, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, August 2006.
  
  
• S. Rajan, Dynamically Controllable Applications for Wireless Sensor Networks, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, December 2005.
  
  
• J. Picone, A. Ganapathiraju and J. Hamaker, "Applications of Kernel Theory to Speech Recognition," in G. Gustavo, et al., (Eds.), "Kernel Methods in Bioengineering, Communications and Image Processing," Idea Group Inc., Hershey, Pennsylvania, USA, 2006.
  
  
• J. Li, A Bit-Map-Assisted Energy-Efficient MAC Scheme for Wireless Sensor Networks, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, March 2004.
  
  
• N. Parihar, Performance Analysis of Advanced Front Ends on the Aurora Large Vocabulary Evaluation, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, November 2003.
  
  
• I. Alphonso, Network Training for Continuous Speech Recognition, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, August 2003.
  
  
• R. Sundaram, Effects of Transcription Errors on Supervised Learning in Speech Recognition, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, August 2003.
  
  
• M. Selvaraj, Scheduling for Proportional Differentiated Services On the Internet, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, October 2002.
  
  
• S. Srivastava, Fast Gaussian Evaluations In Large Vocabulary Continuous Speech Recognition, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, October 2002.
  
  
• D. Zheng, On the Modeling of TCP Latency and Throughput, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, July 2002.
  
  
• J. Hamaker, Sparse Bayesian Methods for Continuous Speech Recognition, Ph.D. Dissertation Proposal, Department of Electrical and Computer Engineering, Mississippi State University, March 2002.
  
  
• A. Ganapathiraju, Support Vector Machines for Speech Recognition, Ph.D. Dissertation, Department of Electrical and Computer Engineering, Mississippi State University, January 2002.
  
  
• Z. Long, The Design And Implementation Of An Image Segmentation System For Forest Image Analysis, M.S. Thesis, Department of Electrical and Computer Engineering, Mississippi State University, August 2001.
  
  
• J. Zhao, Network and N-Gram Decoding In Speech Recognition, M.S. Thesis Proposal, Department of Electrical and Computer Engineering, Mississippi State University, October 2000.
  
  
• A. Ganapathiraju, Support Vector Machines for Speech Recognition, Ph.D. Dissertation Proposal, Department of Electrical and Computer Engineering, Mississippi State University, December 1999.
  
  
• N. Deshmukh, Maximum Likelihood Estimation of Multiple Pronunciations for Proper Nouns, Ph.D. Dissertation, Department of Electrical and Computer Engineering, Mississippi State University, June 1999.