Ali Akansu

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Ali N. Akansu is a Turkish American scientist best known for his contributions to the theory and applications of sub-band and wavelet transforms.


Akansu received his B.S. degree from the Istanbul Technical University, Turkey, in 1980, his M.S. and PhD degrees from the Polytechnic University, Brooklyn, New York, in 1983 and 1987, respectively, all in Electrical Engineering. Since 1987, he has been with the New Jersey Institute of Technology where he is a Professor of Electrical and Computer Engineering.

He showed and presented academic talks in 1989 that the binomial quadrature mirror filter bank (binomial QMF) is identical to the Daubechies wavelet filter, interpreted and evaluated its performance from a discrete-time signal processing perspective published in April 1990.[1][2][3] He organized the first wavelets conference in the United States at NJIT in April 1990,[4] and in 1992,[5] and co-authored the first wavelet-related engineering book published in the literature entitled Multiresolution Signal Decomposition: Transforms, Subbands and Wavelets.[6] His other contributions include nonlinear phase extensions of Discrete Fourier Transform,[7] principal component analysis of first-order autoregressive process,[8] and applications in quantitative finance.[9][10]

He was a founding director of the New Jersey Center for Multimedia Research (NJCMR), 1996–2000, and NSF Industry-University Cooperative Research Center (IUCRC) for Digital Video between 1998–2000. He was the vice president for research and development of the IDT Corporation 2000–2001, the founding president and CEO of PixWave, Inc. (an IDT subsidiary) that has built the technology for secure peer-to-peer video distribution over the Internet. He was an academic visitor at David Sarnoff Research Center (Sarnoff Corporation), at IBM's Thomas J. Watson Research Center, at Marconi Electronic Systems, and a Visiting Professor at Courant Institute of Mathematical Sciences of the New York University.

He is an IEEE Fellow (since 2008) with the citation for contributions to optimal design of transforms and filter banks for communications and multimedia security.[11]

According to the Mathematics Genealogy Project, as of June 2013, Akansu had a total of 19 doctorate students.[12]

Selected works[edit]

  • Akansu, Ali N.; Haddad, Richard A. (1992), Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets, Boston, MA: Academic Press, ISBN 978-0-12-047141-6 
  • Akansu, Ali N.; Smith, Mark J. T. (1996), Subband and Wavelet Transforms: Design and Applications, Boston: Kluwer Academic Publishers, ISBN 978-0-7923-9645-1 
  • Akansu, Ali N.; Medley, Michael J. (1999), Wavelet, Subband, and Block Transforms in Communications and Multimedia, Boston: Kluwer Academic Publishers, ISBN 978-0-7923-8507-3 
  • Sencar, Husrev T.; Mahalingam Ramkumar; Akansu, Ali N. (2004), Data Hiding Fundamentals and Applications: Content Security in Digital Multimedia, Boston, MA: Academic Press, ISBN 978-0-12-047144-7 


  1. ^ A.N. Akansu, An Efficient QMF-Wavelet Structure (Binomial-QMF Daubechies Wavelets), Proc. 1st NJIT Symposium on Wavelets, April 1990.
  2. ^ A.N. Akansu, R.A. Haddad and H. Caglar, Perfect Reconstruction Binomial QMF-Wavelet Transform, Proc. SPIE Visual Communications and Image Processing, pp. 609–618, Lausanne, Sept. 1990.
  3. ^ A.N. Akansu, R.A. Haddad and H. Caglar, The Binomial QMF-Wavelet Transform for Multiresolution Signal Decomposition, IEEE Trans. Signal Processing, pp. 13–19, January 1993.
  4. ^ 1st NJIT Symposium on Wavelets, April 1990
  5. ^ 2nd NJIT Symposium on Wavelets, March 1992
  6. ^ Akansu, Ali N.; Haddad, Richard A. (1992), Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets, Boston, MA: Academic Press, ISBN 978-0-12-047141-6
  7. ^ A.N. Akansu and H. Agirman-Tosun, "Generalized Discrete Fourier Transform: Theory and Design Methods," Proc. IEEE Sarnoff Symposium, pp. 1–7, March 2009
  8. ^ M.U. Torun and A.N.Akansu, "An Efficient Method to Derive Explicit KLT Kernel for First-Order Autoregressive Discrete Process," IEEE Trans. on Signal Processing, vol. 61, no. 15, pp. 3944-3953, Aug. 2013
  9. ^ A.N. Akansu and M.U. Torun, "Toeplitz Approximation to Empirical Correlation Matrix of Asset Returns: A Signal Processing Perspective," IEEE Journal of Selected Topics in Signal Processing, vol. 6, no. 4, pp. 319-326, Aug. 2012.
  10. ^ M.U. Torun, A.N. Akansu and M. Avellaneda, "Portfolio Risk in Multiple Frequencies," IEEE Signal Processing Magazine, vol. 28, no. 5, pp. 61-71, Sept. 2011.
  11. ^ IEEE: Fellow Class of 2008
  12. ^ Mathematics Genealogy Project : Ali Naci Akansu

External links[edit]