Lossy compression of EEG signals using SPIHT
作者： G. Higgins , B. McGinley , N. Walsh , M. Glavin , E. Jones
DOI: 10.1049/EL.2011.1037
关键词: Signal 、 Lossy compression 、 Computational complexity theory 、 Blackfin 、 Mathematics 、 Signal integrity 、 Compression ratio 、 Signal reconstruction 、 Set partitioning in hierarchical trees 、 Algorithm
摘要: A method of compressing electroencephalographic signals using the set partitioning in hierarchical trees (SPIHT) algorithm is described. The were compressed at a variety different compression ratios (CRs), with loss signal integrity each CR determined percentage root-mean squared difference between reconstructed and original. An analysis computational complexity SPIHT also presented, Blackfin processor as an example implementation target.
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