Loading...
Please wait, while we are loading the content...
Similar Documents
Coding tradeoffs for high – density holographic data storage
| Content Provider | Semantic Scholar |
|---|---|
| Author | Burr, Geoffrey W. Marcus, Brian |
| Copyright Year | 1999 |
| Abstract | We present an initial experimental evaluation of coding and signal processing tradeoffs in high–density holographic data storage. Block–based and low–pass modulation codes, predistortion of holographic pages during recording (pre–processing), and conventional equalization (post–processing) are compared using a few recorded holograms. The relative gain in number of stored holograms is obtained by measuring BER as a function of readout power; the effect on density is gauged by the size of the Fourier plane aperture in the holographic system. Results show that equalization provides a 20% density gain, and predistortion a 60% gain. The total improvement in density by combining small apertures with both of these signal processing options is >100% with an 8:12 strong balanced block code, a 6:9 lowpass/sparse code, and a parity thresholding technique with 9.1% overhead. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://sunoptics.caltech.edu/~goffbo/papers/SPIE1999_coding_proceedings.pdf |
| Alternate Webpage(s) | http://geoffreyburr.org/papers/SPIE1999_coding_proceedings.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Block code Computer data storage Holographic data storage Holography Low-pass filter Modulation Neural coding Overhead (computing) Page (document) Signal processing Sparse matrix Thresholding (image processing) X.690 Ziziphus mauritiana |
| Content Type | Text |
| Resource Type | Article |
