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Segmentation of digital signals based on estimated compression ratio
IEEE Transactions on Bio-Medical Engineering
|September 1, 1996
Summary
This study introduces a method for approximating digital signals using continuous broken lines, enabling efficient data compression and analysis. The approach uses compression ratio as a target to control signal segmentation, minimizing residual error.
Area of Science:
- Signal Processing
- Data Compression
- Biomedical Engineering
Background:
- Digital signals require efficient representation for analysis and storage.
- Approximating signals with continuous broken lines offers a method for data reduction.
- Existing methods may require extensive parameter tuning for effective segmentation.
Purpose of the Study:
- To develop a signal approximation method using continuous broken lines.
- To achieve signal segmentation with acceptable residual error.
- To establish compression ratio as a controllable parameter for segmentation.
Main Methods:
- Examining various distance metrics and segmentation techniques.
- Evaluating residual error in signal approximations.
- Developing a method to estimate and target a specific compression ratio.
Main Results:
- The compression ratio effectively controls the signal segmentation process.
- The proposed method achieves acceptable residual error.
- Tested successfully on electrocardiogram (ECG) signals.
Conclusions:
- Signal approximation via continuous broken lines is viable for analysis and compression.
- Using compression ratio as a target simplifies segmentation parameter control.
- This method offers an efficient way to process and store digital signals like ECG data.