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Ali Akansu

April 10, 2024

Ali Naci Akansu (born May 6, 1958) is a Turkish-American professor of electrical & computer engineering and scientist in applied mathematics.

He is best known for his contributions to the theory and applications of linear subspace methods including sub-band and wavelet transforms, particularly the binomial QMF[1][2] (also known as Daubechies wavelet) and the multivariate framework to design statistically optimized filter bank (eigen filter bank).[3][4]

Biography edit

Akansu received his B.S. degree from the Istanbul Technical University, Turkey, in 1980, his M.S. and PhD degrees from the Polytechnic University (now New York 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 was a Visiting Professor at Courant Institute of Mathematical Sciences of the New York University, 2009–2010.

In 1990, he showed that the binomial quadrature mirror filter bank (binomial QMF) is identical to the Daubechies wavelet filter, and interpreted and evaluated its performance from a discrete-time signal processing perspective. [5] It was an extension of his prior work on Binomial coefficient and Hermite polynomials that he developed the Modified Hermite Transformation (MHT) in 1987.[6][7] The magnitude square functions of Binomial-QMF filters were shown to be the unique maximally flat functions in a two-band PR-QMF design formulation.[8][9] He organized the first wavelet conference in the United States at NJIT in April 1990,[10] and, then in 1992[11] and 1994.[12] He published the first wavelet-related engineering book in the literature entitled Multiresolution Signal Decomposition: Transforms, Subbands and Wavelets in 1992.[13]

He made contributions in the areas of optimal filter banks,[14][15][16][17][18][19] nonlinear phase extensions of discrete Walsh-Hadamard transform[20] and discrete Fourier transform,[21] principal component analysis of first-order autoregressive process,[22] sparse approximation,[23] digital watermarking,[24][25][26][27][28][29] financial signal processing and quantitative finance.[30][31][32] [33] His publications include the books A Primer for Financial Engineering: Financial Signal Processing and Electronic Trading[34] and Financial Signal Processing and Machine Learning.[35]

Akansu 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, 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 Entertainment 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, and at Marconi Electronic Systems.

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.[36]

According to the Mathematics Genealogy Project, as of October 2023, Akansu had a total of 25 doctorate students.[37]

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
  • Akansu, Ali N.; Torun, Mustafa U. (2015), A Primer for Financial Engineering: Financial Signal Processing and Electronic Trading, Boston, MA: Academic Press, ISBN 978-0-12-801561-2
  • Akansu, Ali N.; Kulkarni, Sanjeev R.; Malioutov, Dmitry M. (2016), Financial Signal Processing and Machine Learning, Hoboken, NJ: Wiley-IEEE Press, ISBN 978-1-118-74567-0

References edit

  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, vol. 1360, Lausanne, Sept. 1990.
  3. ^ H. Caglar, Y. Liu and A.N. Akansu, "Statistically Optimized PR-QMF Design," Proc. SPIE Visual Communications and Image Processing, pp. 86–94, vol. 1605, Boston, Nov. 1991.
  4. ^ H. Caglar, Y. Liu and A.N. Akansu, "Optimal PR-QMF Design for Subband Image Coding," Journal of Visual Communication and Image Representation, Vol.4, No. 3, pp. 242-253, Sept. 1993.
  5. ^ A.N. Akansu, R.A. Haddad and H. Caglar, The Binomial QMF-Wavelet Transform for Multiresolution Signal Decomposition, IEEE Trans. Signal Process., pp. 13–19, January 1993.
  6. ^ A.N. Akansu, Statistical Adaptive Transform Coding of Speech Signals. Ph.D. Thesis. Polytechnic University, 1987.
  7. ^ R.A. Haddad and A.N. Akansu, A New Orthogonal Transform for Signal Coding, IEEE Transactions on Acoustics, Speech and Signal Processing, vol.36, no.9, pp. 1404-1411, September 1988.
  8. ^ H. Caglar and A.N. Akansu, A Generalized Parametric PR-QMF Design Technique Based on Bernstein Polynomial Approximation, IEEE Trans. Signal Process., pp. 2314–2321, July 1993.
  9. ^ O. Herrmann, On the Approximation Problem in Nonrecursive Digital Filter Design, IEEE Trans. Circuit Theory, vol CT-18, no. 3, pp. 411–413, May 1971.
  10. ^ 1st NJIT Symposium on Wavelets, April 1990
  11. ^ 2nd NJIT Symposium on Wavelets, March 1992
  12. ^ 3rd NJIT Symposium on Wavelets, March 1994
  13. ^ Akansu, Ali N.; Haddad, Richard A. (1992), Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets, Boston, MA: Academic Press, ISBN 978-0-12-047141-6
  14. ^ A.N. Akansu and Y. Liu, "On Signal Decomposition Techniques," Optical Engineering, vol. 30, no. 7, pp. 912–920, July 1991.
  15. ^ R.A. Haddad and A.N. Akansu, "A Class of Fast Gaussian Binomial Filters for Speech and Image Processing," IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 39, pp. 723-727, March 1991.
  16. ^ A.N. Akansu, "Filter Banks and Wavelets in Signal Processing: A Critical Review," Proc. SPIE Video Communications and PACS for Medical Applications (Invited Paper), pp. 330-341, vol. 1977, Berlin, Oct. 1993.
  17. ^ M.V. Tazebay and A.N. Akansu, "Progressive Optimality in Hierarchical Filter Banks," Proc. of 1st International Conference on Image Processing (ICIP), pp. 825-829, vol. 1, Austin, Nov. 1994.
  18. ^ A.N. Akansu, "Multiplierless 2-band perfect reconstruction quadrature mirror filter (PR-QMF) banks," US Patent (US5420891A), May 30, 1995.
  19. ^ C.A. Gonzales and A.N. Akansu, "A Very Efficient Low-bit-rate Subband Image/Video Codec Using Shift-only PR-QMF and Zero-zone Linear Quantizers," Proc. IEEE ICASSP, vol. 4, pp. 2993-2996, April 1997.
  20. ^ A.N. Akansu and R. Poluri, "Walsh-Like Nonlinear Phase Orthogonal Codes for Direct Sequence CDMA Communications," IEEE Trans. Signal Process., vol. 55, no. 7, pp. 3800–3806, July 2007.
  21. ^ A.N. Akansu and H. Agirman-Tosun, "Generalized Discrete Fourier Transform: Theory and Design Methods," Proc. IEEE Sarnoff Symposium, pp. 1–7, March 2009
  22. ^ M.U. Torun and A.N.Akansu, "An Efficient Method to Derive Explicit KLT Kernel for First-Order Autoregressive Discrete Process," IEEE Transactions on Signal Processing, vol. 61, no. 15, pp. 3944–3953, Aug. 2013.
  23. ^ O. Yilmaz and A.N.Akansu, "Quantization of Eigen Subspace for Sparse Representation," IEEE Transactions on Signal Processing, vol. 63, no. 14, pp. 3616–3625, 15 July 2015.
  24. ^ M. Ramkumar and A.N. Akansu, "A Robust Scheme for Oblivious Detection of Watermarks / Data Hiding in Still Images," Proc. SPIE Symposium on Voice, Video and Data Communication, vol. 3528, pp. 474-481, Boston, Nov. 1998.
  25. ^ M. Ramkumar and A.N. Akansu, "Information Theoretic Bounds for Data Hiding in Compressed Images," Proc. IEEE 2nd Workshop on Multimedia Signal Processing, pp. 267-272, Redondo Beach, Dec. 1998.
  26. ^ M. Ramkumar and A.N. Akansu, "On the Choice of Transforms for Data Hiding in Compressed Video," Proc. IEEE ICASSP, vol. VI, pp. 3049-3052, Phoenix, March 1999.
  27. ^ M. Ramkumar and A.N. Akansu, "Self-Noise Suppression Schemes for Blind Image Steganography," Proc. SPIE Special Session on Image Security, vol. 3845, pp. 55-65, Boston, Sept. 1999.
  28. ^ I.B. Ozer, M. Ramkumar and A.N. Akansu, "A New Methodology for Detection of Watermarks in Geometrically Distorted Images," Proc. IEEE ICASSP, vol. IV, pp. 1963-1966, Istanbul, June 2000.
  29. ^ H.T. Sencar, M. Ramkumar and A.N. Akansu, "A Robust Type-III Data Hiding Technique Against Cropping and Resizing Attacks," Proc. IEEE ISCAS 2002, Scottsdale, AZ, May 2002.
  30. ^ 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.
  31. ^ 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.
  32. ^ A.N. Akansu and A. Xiong, "Eigenportfolios of US Equities for the Exponential Correlation Model," Journal of Investment Strategies (Risk.net), pp. 55–77, Aug. 2020.
  33. ^ A.N. Akansu, M. Avellaneda and A. Xiong, "Quant Investing in Cluster Portfolios," Journal of Investment Strategies (Risk.net), pp. 61–78, Dec. 2020.
  34. ^ Akansu, Ali N.; Torun, Mustafa U. (2015), A Primer for Financial Engineering: Financial Signal Processing and Electronic Trading, Boston, MA: Academic Press, ISBN 978-0-12-801561-2
  35. ^ Akansu, Ali N.; Kulkarni, Sanjeev R.; Malioutov, Dmitry M., Eds. (2016), Financial Signal Processing and Machine Learning, Hoboken, NJ: Wiley-IEEE Press, ISBN 978-1-118-74567-0
  36. ^ Fellow Class of 2008 13 April 2010 at the Wayback Machine IEEE: Fellow Class of 2008
  37. ^ http://genealogy.math.ndsu.nodak.edu/id.php?id=74955 Mathematics Genealogy Project : Ali Naci Akansu

External links edit

  • Ali Akansu's home page
  • Ali Akansu at the Mathematics Genealogy Project
  • Generalized Discrete Fourier Transform (GDFT) with Non-linear Phase Functions
  • Binomial-QMF Daubechies Wavelets
  • NJIT Symposia on Subbands and Wavelets 1990, 1992, 1994, 1997
  • IDT Entertainment Sold to Liberty Media for 186 Million and Interest in IDT
  • Starz Distribution
  • A Disgusted CEO Is A Good CEO, Says New Study (At Least For Shareholders)

April 10, 2024
akansu, naci, akansu, born, 1958, turkish, american, professor, electrical, computer, engineering, scientist, applied, mathematics, best, known, contributions, theory, applications, linear, subspace, methods, including, band, wavelet, transforms, particularly,. Ali Naci Akansu born May 6 1958 is a Turkish American professor of electrical amp computer engineering and scientist in applied mathematics He is best known for his contributions to the theory and applications of linear subspace methods including sub band and wavelet transforms particularly the binomial QMF 1 2 also known as Daubechies wavelet and the multivariate framework to design statistically optimized filter bank eigen filter bank 3 4 Contents 1 Biography 2 Selected works 3 References 4 External linksBiography editAkansu received his B S degree from the Istanbul Technical University Turkey in 1980 his M S and PhD degrees from the Polytechnic University now New York 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 was a Visiting Professor at Courant Institute of Mathematical Sciences of the New York University 2009 2010 In 1990 he showed that the binomial quadrature mirror filter bank binomial QMF is identical to the Daubechies wavelet filter and interpreted and evaluated its performance from a discrete time signal processing perspective 5 It was an extension of his prior work on Binomial coefficient and Hermite polynomials that he developed the Modified Hermite Transformation MHT in 1987 6 7 The magnitude square functions of Binomial QMF filters were shown to be the unique maximally flat functions in a two band PR QMF design formulation 8 9 He organized the first wavelet conference in the United States at NJIT in April 1990 10 and then in 1992 11 and 1994 12 He published the first wavelet related engineering book in the literature entitled Multiresolution Signal Decomposition Transforms Subbands and Wavelets in 1992 13 He made contributions in the areas of optimal filter banks 14 15 16 17 18 19 nonlinear phase extensions of discrete Walsh Hadamard transform 20 and discrete Fourier transform 21 principal component analysis of first order autoregressive process 22 sparse approximation 23 digital watermarking 24 25 26 27 28 29 financial signal processing and quantitative finance 30 31 32 33 His publications include the books A Primer for Financial Engineering Financial Signal Processing and Electronic Trading 34 and Financial Signal Processing and Machine Learning 35 Akansu 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 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 Entertainment 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 and at Marconi Electronic Systems 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 36 According to the Mathematics Genealogy Project as of October 2023 Akansu had a total of 25 doctorate students 37 Selected works editAkansu 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 Akansu Ali N Torun Mustafa U 2015 A Primer for Financial Engineering Financial Signal Processing and Electronic Trading Boston MA Academic Press ISBN 978 0 12 801561 2 Akansu Ali N Kulkarni Sanjeev R Malioutov Dmitry M 2016 Financial Signal Processing and Machine Learning Hoboken NJ Wiley IEEE Press ISBN 978 1 118 74567 0References edit A N Akansu An Efficient QMF Wavelet Structure Binomial QMF Daubechies Wavelets Proc 1st NJIT Symposium on Wavelets April 1990 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 vol 1360 Lausanne Sept 1990 H Caglar Y Liu and A N Akansu Statistically Optimized PR QMF Design Proc SPIE Visual Communications and Image Processing pp 86 94 vol 1605 Boston Nov 1991 H Caglar Y Liu and A N Akansu Optimal PR QMF Design for Subband Image Coding Journal of Visual Communication and Image Representation Vol 4 No 3 pp 242 253 Sept 1993 A N Akansu R A Haddad and H Caglar The Binomial QMF Wavelet Transform for Multiresolution Signal Decomposition IEEE Trans Signal Process pp 13 19 January 1993 A N Akansu Statistical Adaptive Transform Coding of Speech Signals Ph D Thesis Polytechnic University 1987 R A Haddad and A N Akansu A New Orthogonal Transform for Signal Coding IEEE Transactions on Acoustics Speech and Signal Processing vol 36 no 9 pp 1404 1411 September 1988 H Caglar and A N Akansu A Generalized Parametric PR QMF Design Technique Based on Bernstein Polynomial Approximation IEEE Trans Signal Process pp 2314 2321 July 1993 O Herrmann On the Approximation Problem in Nonrecursive Digital Filter Design IEEE Trans Circuit Theory vol CT 18 no 3 pp 411 413 May 1971 1st NJIT Symposium on Wavelets April 1990 2nd NJIT Symposium on Wavelets March 1992 3rd NJIT Symposium on Wavelets March 1994 Akansu Ali N Haddad Richard A 1992 Multiresolution Signal Decomposition Transforms Subbands and Wavelets Boston MA Academic Press ISBN 978 0 12 047141 6 A N Akansu and Y Liu On Signal Decomposition Techniques Optical Engineering vol 30 no 7 pp 912 920 July 1991 R A Haddad and A N Akansu A Class of Fast Gaussian Binomial Filters for Speech and Image Processing IEEE Transactions on Acoustics Speech and Signal Processing vol 39 pp 723 727 March 1991 A N Akansu Filter Banks and Wavelets in Signal Processing A Critical Review Proc SPIE Video Communications and PACS for Medical Applications Invited Paper pp 330 341 vol 1977 Berlin Oct 1993 M V Tazebay and A N Akansu Progressive Optimality in Hierarchical Filter Banks Proc of 1st International Conference on Image Processing ICIP pp 825 829 vol 1 Austin Nov 1994 A N Akansu Multiplierless 2 band perfect reconstruction quadrature mirror filter PR QMF banks US Patent US5420891A May 30 1995 C A Gonzales and A N Akansu A Very Efficient Low bit rate Subband Image Video Codec Using Shift only PR QMF and Zero zone Linear Quantizers Proc IEEE ICASSP vol 4 pp 2993 2996 April 1997 A N Akansu and R Poluri Walsh Like Nonlinear Phase Orthogonal Codes for Direct Sequence CDMA Communications IEEE Trans Signal Process vol 55 no 7 pp 3800 3806 July 2007 A N Akansu and H Agirman Tosun Generalized Discrete Fourier Transform Theory and Design Methods Proc IEEE Sarnoff Symposium pp 1 7 March 2009 M U Torun and A N Akansu An Efficient Method to Derive Explicit KLT Kernel for First Order Autoregressive Discrete Process IEEE Transactions on Signal Processing vol 61 no 15 pp 3944 3953 Aug 2013 O Yilmaz and A N Akansu Quantization of Eigen Subspace for Sparse Representation IEEE Transactions on Signal Processing vol 63 no 14 pp 3616 3625 15 July 2015 M Ramkumar and A N Akansu A Robust Scheme for Oblivious Detection of Watermarks Data Hiding in Still Images Proc SPIE Symposium on Voice Video and Data Communication vol 3528 pp 474 481 Boston Nov 1998 M Ramkumar and A N Akansu Information Theoretic Bounds for Data Hiding in Compressed Images Proc IEEE 2nd Workshop on Multimedia Signal Processing pp 267 272 Redondo Beach Dec 1998 M Ramkumar and A N Akansu On the Choice of Transforms for Data Hiding in Compressed Video Proc IEEE ICASSP vol VI pp 3049 3052 Phoenix March 1999 M Ramkumar and A N Akansu Self Noise Suppression Schemes for Blind Image Steganography Proc SPIE Special Session on Image Security vol 3845 pp 55 65 Boston Sept 1999 I B Ozer M Ramkumar and A N Akansu A New Methodology for Detection of Watermarks in Geometrically Distorted Images Proc IEEE ICASSP vol IV pp 1963 1966 Istanbul June 2000 H T Sencar M Ramkumar and A N Akansu A Robust Type III Data Hiding Technique Against Cropping and Resizing Attacks Proc IEEE ISCAS 2002 Scottsdale AZ May 2002 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 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 A N Akansu and A Xiong Eigenportfolios of US Equities for the Exponential Correlation Model Journal of Investment Strategies Risk net pp 55 77 Aug 2020 A N Akansu M Avellaneda and A Xiong Quant Investing in Cluster Portfolios Journal of Investment Strategies Risk net pp 61 78 Dec 2020 Akansu Ali N Torun Mustafa U 2015 A Primer for Financial Engineering Financial Signal Processing and Electronic Trading Boston MA Academic Press ISBN 978 0 12 801561 2 Akansu Ali N Kulkarni Sanjeev R Malioutov Dmitry M Eds 2016 Financial Signal Processing and Machine Learning Hoboken NJ Wiley IEEE Press ISBN 978 1 118 74567 0 Fellow Class of 2008 Archived 13 April 2010 at the Wayback Machine IEEE Fellow Class of 2008 http genealogy math ndsu nodak edu id php id 74955 Mathematics Genealogy Project Ali Naci AkansuExternal links editAli Akansu s home page Ali Akansu at the Mathematics Genealogy Project Generalized Discrete Fourier Transform GDFT with Non linear Phase Functions Binomial QMF Daubechies Wavelets NJIT Symposia on Subbands and Wavelets 1990 1992 1994 1997 IDT Entertainment Sold to Liberty Media for 186 Million and Interest in IDT Starz Distribution A Disgusted CEO Is A Good CEO Says New Study At Least For Shareholders Retrieved from https en wikipedia org w index php title Ali Akansu amp oldid 1216901563, wikipedia, wiki, book, books, library,

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