Abstract
Wavelet transforms have proven to be useful tools for several applications, including signal analysis, signal coding, and image compression. This paper surveys the VLSI architectures that have been proposed for computing the Discrete and Continuous Wavelet Transforms for 1-D and 2-D signals. The proposed architectures range from SIMD arrays to folded architectures such as systolic arrays and parallel filters. The SIMD arrays have a size that is proportional to that of the data sequence and are optimal with respect to time. The folded architectures, on the other hand, support single chip implementations and are optimal with respect to both area and time under the word-serial model.
| Original language | English (US) |
|---|---|
| Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Pages | 2849-2852 |
| Number of pages | 4 |
| Volume | 5 |
| State | Published - 1995 |
| Event | Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA Duration: May 9 1995 → May 12 1995 |
Other
| Other | Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) |
|---|---|
| City | Detroit, MI, USA |
| Period | 5/9/95 → 5/12/95 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Signal Processing
- Acoustics and Ultrasonics
Cite this
Survey of architectures for the discrete and continuous wavelet transforms. / Chakrabarti, Chaitali; Vishwanath, Mohan; Owens, Robert M.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 5 1995. p. 2849-2852.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Survey of architectures for the discrete and continuous wavelet transforms
AU - Chakrabarti, Chaitali
AU - Vishwanath, Mohan
AU - Owens, Robert M.
PY - 1995
Y1 - 1995
N2 - Wavelet transforms have proven to be useful tools for several applications, including signal analysis, signal coding, and image compression. This paper surveys the VLSI architectures that have been proposed for computing the Discrete and Continuous Wavelet Transforms for 1-D and 2-D signals. The proposed architectures range from SIMD arrays to folded architectures such as systolic arrays and parallel filters. The SIMD arrays have a size that is proportional to that of the data sequence and are optimal with respect to time. The folded architectures, on the other hand, support single chip implementations and are optimal with respect to both area and time under the word-serial model.
AB - Wavelet transforms have proven to be useful tools for several applications, including signal analysis, signal coding, and image compression. This paper surveys the VLSI architectures that have been proposed for computing the Discrete and Continuous Wavelet Transforms for 1-D and 2-D signals. The proposed architectures range from SIMD arrays to folded architectures such as systolic arrays and parallel filters. The SIMD arrays have a size that is proportional to that of the data sequence and are optimal with respect to time. The folded architectures, on the other hand, support single chip implementations and are optimal with respect to both area and time under the word-serial model.
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M3 - Conference contribution
AN - SCOPUS:0028996479
VL - 5
SP - 2849
EP - 2852
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ER -