Digital Signal Processing Reference
In-Depth Information
6. Datta, B.N.: Numerical Linear Algebra and Applications. Brooks/Cole Publishing Company,
Pacific Grove (1995)
7. Demmel, J.W.: Applied Numerical Linear Algebra. SIAM, Philadelphia (1997)
8. Demmel, J., Kahan, W.: Accurate singular values of bidiagonal matrices. SIAM J. Sci. Stat.
Comput.
11
(5), 873-912 (1990)
9. Dinges, D.F., Maislin, G., Brewster, R.M., Krueger, G.P., Carroll, R.J.: Pilot Test of Fatigue
Management Technologies: Final Report. Federal Motor Carrier Safety Administration, Wash-
ington (2004)
10. Dinges, D.F., Mallis, M., Maislin, G., Powell, J.W.: Final Report: Evaluation of Techniques
for Ocular Measurement as an Index of Fatigue and as the Basis for Alertness Management
(Report No. DOT HS 808 762). National Highway Traffic Safety Administration, Washington,
DC (1998)
11. Golub, G., Kahan, W.: Calculating the singular values and pseudo-inverse of a matrix. J. SIAM
Numer. Anal., Ser. B
2
(2), 205-224 (1965)
12. Golub, G.H., Van Loan, C.F.: Matrix Computations, 3rd edn. The Jhons Hopkins University
Press, Baltimore and London (1996)
13. Gu, M., Eisenstat, S.C.: A divide-and-conquer algorithm for the symmetric tridiagonal eigen
problem. Research Report YALEU/DCS/RR-932, 27 Nov 1992
14. Hestenes, M.R.: Inversion of matrices by biorthogonalization and related results. SIAM
6
(1),
51-90 (1958)
15. Hjelms, E., Low, B.K.: Face detection: a survey. Comput. Vis. Image Underst.
83
, 236-274
(2001)
16. Keding, H., Willems, M., Coors, M., Meyr, H.: FRIDGE: A fixed-point design and simulation
environment. In: Proceeding of the Design Automation and Test in Europe, 1998. pp. 429-435
17. Kim, S., Kum, K., Sung, W.: Fixed-point optimization utility for C and C++ based digital signal
processing programs. IEEE Trans. Circuits Syst. II Analog Digit. Signal Process.
45
(11), 1455-
1464 (1998)
18. Li, R.C.: Solving secular equations stably and efficiently. Computer Science Division Technical
Report UCB//CSD-94-851, University of California, Berkeley, 94720, Dec 1994
19. Melman, A.: A numerical comparison of methods for solving secular equations. J. Comput.
Appl. Math.
86
, 237-249 (1997)
20. Nikolic, Z., Nguyen, H.T., Frantz, G.: Design and implementation of numerical linear algebra
algorithms on fixed point DSPs. EURASIP J. Adv. Signal Process.
2007
Article ID 87046
(2007) doi:
10.1155/2007/87046
21. Parlett, B.N.: The Symmetric Eigenvalue Problem. SIAM, Philadelphia (1998)
22. Rutter, J.: A serial implementation of Cuppen's divide and Conquer algorithm for the Symmetric
Eigenvalue problem.
http://www.netlib.org/lapack/lawnspdf/lawn69.pdf
23. Sirovich, L., Kirby, M.: Low-dimensional procedure for the characterization of human faces.
J. Opt. Soc. Am. A
4
, 519 (1987)
24. Stewart, G.W.: Perturbation theory for the singular value decomposition. UMIACS-TR-90-124
CS-TR 2539, Sept 1990
25. Svensson, G.: A Block-Hestenes Method for the SVD, Technical Report. LiTH-MAT-R -
1989-28, Department of Mathematics, Linköping University, Sept 1989. hem.passagen.se/-
gohel/num/hest.ps
26. Szecówka, P.M., Malinowski, P.: CORDIC and SVD implementation in digital hardware. 17th
International Conference Mixed Design of Integrated Circuits and Systems MIXDES 2010,
24-26 June 2010
27. Turk, M., Pentland, A.: Eigenfaces for recognition. J. Cogn. Neurosci.
3
(1), 71-86 (1991)
28. Wang, H., Leray, P., Palicot, J.: A CORDIC-based dynamically reconfigurable FPGA architec-
ture for signal processing algorithms, URSI 08. The XXIX General Assembly of the Interna-
tional Union of Radio Science, Chicago (2008)
29. Yang, M-H., Kriegman, D.J., Ahuja, N.: Detecting faces in images: a survey. IEEE Trans.
Pattern Anal. Mach. Intell.
24
(1), 34-58 (2001)
30. Zhou, B.B., Brent, R.P.: On parallel implementation of the one-sided Jacobi algorithm for singu-
lar value decompositions.
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=389182
