Compression algorithms for biomedical signals and nanopore sequencing data
The massive generation of biological digital information creates various computing challenges such as its storage and transmission. For example, biomedical signals, such as electroencephalograms (EEG), are recorded by multiple sensors over long periods of time, resulting in large volumes of data. An...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | doctoralThesis |
| اللغة: | الإنجليزية |
| منشور في: |
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/20.500.12008/33017 |
| الوسوم: |
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مواد مشابهة: Compression algorithms for biomedical signals and nanopore sequencing data
- Coding of multichannel signals with irregular sampling rates and data gaps
- Nanopore quality score resolution can be reduced with little effect on downstream analysis
- Compressive Sensing for Inverse Scattering
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