Compression of ECG data by vector quantization

  title={Compression of ECG data by vector quantization},
  author={Baohua Wang and Guoxin Yuan},
  journal={IEEE Engineering in Medicine and Biology Magazine},
The authors first estimate the ECG rate-distortion bound, which is the theoretical limit in the compression of the ECG data. They then present ECG data-compression schemes based on codebook quantizer and finite-state VQ (FSVQ), which are suitable for coding a correlative signal. Then, the authors' modified FSVQ-based scheme is presented. 
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