Ryerson University Home · Search · Contact Us · Site Map · Ryerson  
  Electrical and Computer Engineering

Signal and Image Processing Group

The Signal and Image Processing Group is one of the research groups in the Department of Electrical and Computer Engineering, at Ryerson Polytechnic University. This group undertakes research in the area of communication systems, digital signal processing, mobile and wireless communication systems, telemedicine, multimedia signal processing, computer communications. To obtain further information on the members of this group and to find out more about the specific research projects, please follow the appropriate links.


GROUP CO-ORDINATOR
X. P. Zhang


RESEARCH LABORATORIES

  • Laboratory for Multimedia Processing and Communications (LMPC)
  • Communications and Signal Processing Applications Laboratory (CASPAL)


SUPERVISORS & GRADUATE STUDENTS

  • J. Alirezaie

  • L. Guan
    • Jose Lay, Research Associate
    • Tahir Amin
    • Colin Huang
    • Ivan Lee
    • Paisarn Muneesawang
    • Jonathon Randall

  • S. Krishnan
    • Karthi Umapathy, M.Phil/Ph.D. Candidate
    • Serhat Erkucuk, M.A.Sc. Candidate
    • Ying Shen, M.A.Sc. Candidate
    • Shynimol Thayilchira, M.Eng. Candidate
    • Kalai Balasubramanian, M.Eng. Candidate
    • Tanweer Mozaffar, M.Eng. Candidate
    • Junhong Chen, M.Eng. Candidate

  • M. Zeytinoglu

    • B. Douglas

  • X.P. Zhang
    • Zhenhe Chen
    • Kan Li
    • Umair Qureshi
    • Ayman Sydom
    • Yuhong Wang

PROJECTS

Adaptive Time-Frequency Transform (ATFT) Coding of Audio Signals

Abstract: This project addresses an important issue facing the state-of-the-art digital audio technology. Currently the data rate associated with high fidelity wideband audio signal is enormous for many transmission channels and storage media. The objective of this project is to develop a high quality low bit-rate audio coder that takes advantage of the human psychoacoustical properties, and the true non-stationary nature of audio signals. The main challenge of this project will be in designing non-stationary signal analysis algorithm that will exploit the joint time and frequency correlation, and provide an energy compact representation of the audio signal in a fewer transform coefficients.

Researchers: K. Umapathy, S. Krishnan

Publications:
S. Krishnan, Instantaneous mean frequency estimation using adaptive time-frequency distributions Proc. IEEE Canadian Conference on Electrical and Computer Engineering, Toronto, Ontario, May 2001.

K. Umapathy and S. Krishnan, Audio signal coding using adaptive time-frequency transformation in preparation, IEEE Trans. on Speech and Audio Processing, May 2001.

K. Umapathy and S. Krishnan, Efficient compression of audio signals using adaptive time-frequency functions Proc. Micronet Annual Workshop, Aylmer, Quebec, April 2001.

K. Umapathy and S. Krishnan, Joint time-frequency coding of audio signals Proc. 5th WSES/IEEE Multiconference on Circuits, Systems, Communications, and Computers, Crete, Greece, July 2001.

K. Umapathy and S. Krishnan, Low bit-rate time-frequency coding of wideband audio signals Proc. IASTED International Conference on Signal Processing, Pattern Recognition and Applications, Rhodes, Greece, July 2001.

S. Krishnan and K. Umapathy, A time-frequency approach for auditory display of time-varying signals Proc. IASTED International Conference on Signal and Image Processing, Hawaii, USA, August 2001.

K. Umapathy, S. Krishnan and S. Jimaa, Audio signal classification using time-frequency parameters, under review, International Conference on Multimedia and Expo (ICME). Laussane, Swizterland, Feb 2002.

S. Krishnan, K. Umapathy, J.C. Bejar and S. Jimaa, Time-frequency modeling and analysis of speech and audio signals, in Proc. Annual Micronet Workshop, Aylmer, Quebec, April 2002.

K. Umapathy, S. Krishnan, V. Parsa, and D.G. Jamieson, Discrimination of pathological voices using an adaptive time-frequency approach, in Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, FL, USA, May 2002.

Researchers: S. Krishnan, et al.

S. Erkucuk and S. Krishnan, Interference excision in spread spectrum communications using positive adaptive time-frequency distributions, in Proc. International conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, FL, USA, May 2002.

S. Thayilchira and S. Krishnan, Detection of linear and non-linear chirps in spread spectrum signals using Hough-Radon transform, in Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, FL, USA, May 2002.

J.C. Bejar and S. Krishnan, Speech signal enhancement using time-frequency decompositions, under review, IEE proceedings on Vision, Image, and Signal Processing, Feb 2002.
Last modified: Tuesday, 18-Jun-2002 17:01:43 EDT