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Complex    Biosignal Computing

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Signal Processing
HilbertTransform

Journal Articles:

Z. He, M. Bystrom, S. H. Nawab, Bi-Directional Conversion Between DCT Coefficients of Blocks and Their Sub-blocks, IEEE Transactions on Signal Processing , vol. 53, no. 8, pp. 2835-2841, August 2005.

Brynmor Davis, S. H. Nawab, The Relationship of Transform Coefficients for Differing Transforms and/or Differing Subblock Sizes, IEEETransactions on Signal Processing, vol. 52, no. 5, pp. 1458-1461, May 2004.

S. H. Nawab, A. V. Oppenheim, A. P. Chandrakasan, J. T. Ludwig, Approximate Signal Processing, Journal of VLSI Signal Processing , vol. 15, pp. 177-200, Jan. 1997.

J. M. Winograd and S. H. Nawab, Probabilistic Complexity Analysis for a Class of Approximate DFT Algorithms, Journal of VLSI Signal Processing, vol. 14, pp. 193-205, Dec. 1996.

J. T. Ludwig, S. H. Nawab, A. P. Chandrakasan, Low-Power Digital Filtering Using Approximate Signal Processing, IEEE Transactions of Solid-State Circuits , vol. 31, no. 3, pp. 395-400, March 1996.

V.R. Lesser, S.H. Nawab, F.I. Klassner, IPUS: An Architecture for the Integrated Processing and Understanding of Signals, Artificial Intelligence Journal, vol. 77, pp. 129-171, August 1995.

J. M. Winograd, S. H. Nawab, Incremental Refinement of DFT and STFT Approximations, IEEE Signal Processing Letters, vol. 2, pp. 25-28, Feb. 1995.

D. E. Paneras, R. Mani, S. H. Nawab, STFT Computation Using Pruned FFT Algorithms, IEEE Signal Processing Letters, vol. 1, no. 4, pp. 61-64, April 1994.

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