A locally adaptive data compression scheme
Communications of the ACM
Text compression
Second step algorithms in the Burrows-Wheeler compression algorithm
Software—Practice & Experience
A Fast Block-Sorting Algorithm for Lossless Data Compression
DCC '97 Proceedings of the Conference on Data Compression
DCC '97 Proceedings of the Conference on Data Compression
A Fast Algorithms for Making Suffix Arrays and for Burrows-Wheeler Transformation
DCC '98 Proceedings of the Conference on Data Compression
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Context-based lossless and near-lossless compression of EEG signals
IEEE Transactions on Information Technology in Biomedicine
A universal algorithm for sequential data compression
IEEE Transactions on Information Theory
Compression of individual sequences via variable-rate coding
IEEE Transactions on Information Theory
Constrained ECG compression algorithm using the block-based discrete cosine transform
Digital Signal Processing
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In this work, we investigate the lossless and near-lossless compression of electrocardiogram (ECG) signals with different block-sorting transformations. We show that transformations with smaller context depths are a better choice for ECG signal compression when speed and memory utilization are considered. Further, we show that compression results of our proposed technique is better than other well known techniques, such as bzip2, gzip, and the shorten waveform coder.