Citation
Abstract
Distortion-controlled data compression is lossy signal compression in which the amount of distortion introduced into any small portion of a signal is strictly limited. This article gives results on various practical aspects of quantization and distortioncontrolled compression. The primary focus is near-lossless compression, as accomplished by predictive techniques. For compression of noisy signals, the effect of quantization step size q on rate, distortion, and the effective noise characteristics is considered. It is demonstrated that surprisingly large values of q often may be employed without significantly affecting the scientific analysis of the compressed data. For low-noise signals, the use of subtractive dither to reduce or eliminate compression artifacts is analyzed. This analysis includes determination of a class of optimal dither signals based on certain reasonable assumptions. The effect on compression of the step size used in analog-to-digital conversion also is discussed.
Keywords
Details
- Volume
- 42-139
- Published
- November 15, 1999
- Pages
- 1–38
- File Size
- 901.3 KB