James_H._McClellan

James H. McClellan

James H. McClellan

American electrical engineer


James H. McClellan (born 5 October 1947) is the Byers Professor of Signal Processing at the Georgia Institute of Technology. He is widely known for his creation of the McClellan transform and for his co-authorship of the Parks–McClellan filter design algorithm.[1]

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Early life and education

James McClellan was born on October 5, 1947, in Guam. McClellan received his B.S. in Electrical Engineering from Louisiana State University in 1969.[2] He went on to receive an M.S. (1972) and a Ph.D. (1973) from Rice University.[2]

Career

In 1973, he joined the research staff of MIT's Lincoln Laboratory. In 1975, he became a professor at MIT's Electrical Engineering and Computer Science department before leaving to join Schlumberger. Since 1987, he has been at the Georgia Institute of Technology. Prof. McClellan is a Fellow of the IEEE.[1] He received the Acoustics, Speech, and Signal Processing Technical Achievement Award in 1987,[2] the IEEE Signal Processing Society Award in 1996,[2] and the IEEE Jack S. Kilby Signal Processing Medal in 2004 (together with Thomas W. Parks).[3][4]

Books

  • Number Theory in Digital Signal Processing, J. H. McClellan and C. M. Rader, Prentice-Hall, Inc., Englewood Cliffs, N.J., 1979, ISBN 0-8493-7177-5.[5]
  • Computer-Based Exercises for Signal Processing Using MATLAB, J. H. McClellan, C. S. Burrus, A. V. Oppenheim, T. W. Parks, R.W. Schafer, H. W. Schuessler, Prentice Hall, 1998, ISBN 0-13-789009-5.
  • Signal Processing First: A Multimedia Approach, J. H. McClellan, R.W. Schafer, M. A. Yoder, Upper Saddle River, NJ: Prentice-Hall, Inc., 1998, ISBN 0-13-090999-8.
  • DSP First: A Multimedia Approach, J. H. McClellan, R. W. Schafer, M. A. Yoder, Upper Saddle River, NJ: Prentice-Hall, Inc., 1997, ISBN 0-13-243171-8.

References

  1. "James McClellan". Georgia Institute of Technology. Retrieved 2009-08-05.
  2. Krishna, Hari; Krishna, Bal; Lin, Kuo-Yu; Sun, Jenn-Dong (16 August 1994). Number Theory in Digital Signal Processing. ISBN 9780849371776.

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