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https://idr.l2.nitk.ac.in/jspui/handle/123456789/7200Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Aparna, P. | - |
| dc.contributor.author | Sumam, David S. | - |
| dc.date.accessioned | 2020-03-30T09:58:37Z | - |
| dc.date.available | 2020-03-30T09:58:37Z | - |
| dc.date.issued | 2006 | - |
| dc.identifier.citation | Proceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006, 2006, Vol., , pp.254-257 | en_US |
| dc.identifier.uri | https://idr.nitk.ac.in/jspui/handle/123456789/7200 | - |
| dc.description.abstract | A typical seismic analysis involves collection of data by an array of seismometers, transmission over a narrow-band channel, and storage of data for analysis. Transmission and archiving of large volumes of data involves great cost. Hence there is a need to devise suitable methods for compressing the seismic data without compromising on the quality of the reconstructed signal. This paper presents our work on the seismic data compression based on adaptive local cosine transform and its associated multi-resolution and best-basis methodology and compares the results with wavelet based implementation. � 2006 IEEE. | en_US |
| dc.title | Adaptive local cosine transform for seismic image compression | en_US |
| dc.type | Book chapter | en_US |
| Appears in Collections: | 2. Conference Papers | |
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