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 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Signal Processing
- Acoustics and Ultrasonics
Fingerprint Dive into the research topics of 'Survey of architectures for the discrete and continuous wavelet transforms'. Together they form a unique fingerprint.
Cite this
Chakrabarti, C., Vishwanath, M., & Owens, R. M. (1995). Survey of architectures for the discrete and continuous wavelet transforms. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 5, pp. 2849-2852)