Compression of the Highly Correlated Measurement Signals using DPCM Technique

Abstract

Compression of highly correlated measurement signals is considered using DPCM/ADPCM (Difference Pulse Code Modulation/Adaptive Difference Pulse Code Modulation) technique. It is important since very often transmission and storage of measurement signals are needed. Theory is applied on ECG (Electrocardiogram) signal, as an example of highly correlated signals. Very good performances are achieved: high compression rate and high improvement of performances are obtained.

Robustness of the Prediction Filter in Differential Pulse Code Modulation System

“…Quantization error n e occurs due to quantization of the difference n d ( Fig. 1), [1], [7]. For the linear predictor, the predicted valueˆn x is calculated as a linear combination of the previously quantized reconstructed samples n i y  .…”

“…Differential pulse code modulation (DPCM) is one of the most effective techniques for signal processing and transmission widely used in telecommunications, speech [1], [2] and image coding [3], [4], and medical research [5]- [7]. The transmission system based on DPCM is a nonlinear feedback system and as such is suitable for the analysis in control systems.…”