Information Technology Reference
In-Depth Information
39. S. D. Stearn and R. A. David. FFT convolution and correlation. In: Signal Processing
Algorithms, Englewood Cliffs NJ: Prentice-Hall, 1988.
40. G. Dovel. FFT analyzers make spectrum analysis a snap. EDN: pp 149-155, Jan 1989.
41. G. Davison, L. Fielder, and M. Antill. Low-complexity transform coder for satellite
link applications. 89th AES convention, Los Angeles, Sept 1990. (www.aes.org)
42. K. Brandengurg, et al. The ISO/MPEG audio codec: A generic standard for coding of
high quality digital audio. 92nd AES convention, Vienna, Austria, 1992: preprint 3336.
(www.aes.org)
43. D. Pan. An overview of the MPEG/audio compression algorithm. IS&T/SPIE
Symposium on Electronic Imaging: Science and Technology, San Jose, California,
Feb 1994. 2187, pp 260-273.
44. A. K. Jain. Filtering LPF BPF HPF Generalized cepstrum and homomorphic filtering.
Fundamentals of Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1988.
45. K. O. Egiazarian, et al. Nonlinear filters based on ordering by FFT structure. Photonics
West, IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, 2662, San
Jose, Feb 1996.
46. J. J Shynk. Frequency domain and multirate adaptive filtering. IEEE Signal Processing
Magazine, 9: pp 14-37, Jan 1992.
47. J. O. Smith III. Introduction to Digital Filters with Audio Applications, Palo Alto, CA:
Stanford University Press, Aug 2006. (http://ccrma.stanford.edu/
jos/filters/)
48. I. Barhumi, G. Leus, and M. Moonen. Time-varying FIR equalization of doubly
selective channels. In: IEEE International Conference on Communications, ICC,
Anchorage, Alaska, May 2003.
49. M. Bi, S. H. Ong, and Y. H. Ang. Integer-modulated FIR filter banks for image
compression. IEEE Transactions on Circuits And Systems For Video Technology, 8(8):
pp 923-927, 1998.
50. A. Zergaı¨ noh, P. Duhamel, and J. P. Vidal. Efficient implementation methodology of
fast FIR filtering algorithms on DSP. Journal of VLSI Signal Processing Systems
Archive, 16(1): pp 81-103, May 1997.
51. J. C. Kuo III. et al. VLSI design of a variable-length FFT/IFFT processor for OFDM-
based communication systems. Journal on Applied Signal Processing, 2003(13): Dec
2003.
52. G. Zhong, F. Xu, A. Wilson Jr. An energy-efficient reconfigurable FFT/IFFT
processor based on a multiprocessor ring. EUSIPCO, Vienna, Austria, Sep 2004.
53. K. Mahoratna, E. Grass, and U. Jagdhold. A novel 64-point FFT/IFFT processor for
IEEE 802.11(A) standard. In: IEEE ICASSP, II: pp 321-324, 2003.
54. http://en.wikibooks.org/wiki/Basic_Physics_of_Nuclear_Medicine/FourierFourier_
Methods# Filtering_the_FourierFourier_Spectrum.
55. http://www.med.harvard.edu/AANLIB/hms1.html.
56. http://homepages.inf.ed.ac.uk/rbf/HIPR2/fourierFourier.htm.
57. S. Navab. Nanoscale digital signal processing architectures. 2007 World Congress in
Computer Science, Computer Engineering, and Applied Computing WORLD-
COMP'07. In: Proceedings of the 2007 International Conference on Embedded
Systems and Applications (ESA'07): pp 141-147.
B
Search WWH ::
Custom Search