Digital Signal Processing Lab

 

 

The digital signal processing (DSP) lab houses the activities of several SenSIP faculty. Digital signal processing emerged as a research area in the 1960s and is now a mature field enabling a wide range of technologies including multimedia, entertainment, cellular communications, automotive and defense applications. Successful modern products, such as MP3 players and high definition (HDTV) systems, use sophisticated signal processing algorithms implemented on DSP chips. Research in the field includes speech analysis, filter design and implementation, adaptive filtering, spectral estimation, time-frequency signal processing, radar and sonar, image processing and low power signal processing. The faculty affiliated with the DSP lab include Professors C. Chakrabarti, D. Cochran, L. Karam, A. Papandreou- Suppappola and A. Spanias. The group has recently established a Real-Time Embedded Signal Processing (RESP) laboratory with support from Motorola, Freescale, Texas Instruments, National Instruments, and Tektronix. Theoretical research includes development of new signal analysis algorithms while experimental and application research involves real-time system design, software development, and fast power-aware implementations.

 

 

Capabilities

  • Filter and adaptive filter design algorithms.

  • Real-time DSP algorithms.

  • Algorithms for detecting and analyzing time-varying signals and estimating their parameters.

  • Sampling algorithms and algorithms for discrete harmonic analysis.

 

Product

  • DSP software tools for speech and image signals

  • Algorithms and software for spectral analysis.

 

Publications

  • G.W. Pan, K. Wang, and D. Cochran, "Coifman Wavelets in 3-D Scattering from Very Rough Random Surfaces," IEEE Transactions on Antennas and Propagation, Volume. AP-52, Issue 11, Page 3096-3103, November 2004.

  • S. Azizi and D. Cochran, "Reproducing Kernel Structure in Time-Warped Spaces with Applications to Wavelets," IEEE Transactions on Information Theory, Volume. 48, issue ?, Page 3, March 2002.

  • R. Ferzli and L. J. Karam, "An Online Web-Based Real-Time Digital Signal Processing Course," IEEE Frontiers in Education Conference (FIE), Volume., Issue, Page October 2006.

  • M. Y. Hasan, L. J. Karam, M. Falkinburg, A. Helwig, and M. Ronning, "Canonic Signed Digital Filter Design," IEEE Signal Processing Letters, Volume 8, Issue, Page 167-169, June 2001.

  • A. Spanias, "Block time and frequency domain modified covariance algorithms for spectral analysis," IEEE Transactions on Signal Processing, Volume. 41, Issue 11, Page 3138 - 3152, November 1993.

  • J. Foutz, A. Spanias, S. Bellofiore, C. Balanis, "Adaptive eigen-projection beamforming algorithms for 1D and 2D antenna arrays," IEEE Antennas and Wireless Propagation Letters, Volume 2, Issue 1, Page 62-65, Month 2003.

  • S. P. Ebenezer, A. Papandreou-Suppappola, and S. Suppappola, ``Classification of Acoustic Emissions Using the Modified Matching Pursuit,'' EURASIP Journal on Applied Signal Processing, Volume, Issue Page 347-357, March 2004.

  • Y. Jiang and A. Papandreou-Suppappola, ``Discrete Time-frequency Characterizations of Dispersive Time-varying Systems,'' IEEE Transactions on Signal Processing, Volume, Issue, Page in print.

  • A. Papandreou-Suppappola, ed., “Applications in Time-Frequency Signal Processing.” Boca Raton, Florida: CRC Press, Volume, Issue Page, October 2002.

 

Grants

  • AFOSR: Wavelet analysis, D. Cochran.

  • Freescale: "Real-Time DSP Training," Jan. 2006 – May 2006, $5,500, L. Karam.

  • CEINT/Motorola: "Real-Time DSP Development," Aug. 2003 – Aug. 2004, $60,505, L. Karam.

  • Motorola: "Canonic Signed Digital Filter Design," May 1999 – Nov. 1999, $19,716, L. Karam.

  • NSF: “CAREER: Time-varying Signal Processing for Wideband Wireless Communications,'' Jan. 2002 – Dec. 2006, $350k, A. Papandreou-Suppappola.

  • NSF: "Time-frequency Analysis of Signals with Non-linear Structures,'' August 2000-May 2001, $75k, A. Papandreou.

 

Website

 

Curriculum

  • Digital Signal Processing (EEE407/591), Real-Time DSP Systems (EEE404), Time-frequency Signal Processing (EEE505), Spectral Estimation (EEE 506).

 

Past Doctoral Graduates

  • R. Martin

  • J. Trelewicz

  • R. Hedges

  • S. Azizi

  • A. Siefker

  • S. Shetty

 

Facilities

  • The DSP lab is on the fourth floor of the Goldwater Center (GWC) and houses several graduate students. The lab has a network of PC workstations equipped with a variety of signal processing tools including MATLAB toolboxes, the National instruments LabVIEW, numerical recipies and several other mathematical and signal analysis packages.