An optimized buffer controlled data compression system
Abstract
The digital data compression system considered uses a buffer controlled aperture algorithm which minimizes the mean-squared error between the reconstructed receiver output and transmitter input. The data compression technique selected is based on the zero-order floating aperture prediction rule. It is assumed that the statistics of the input data are initially uniformly distributed, stationary, and first-order Markov. The problem is solved for stationary data. An approach is presented for extending the results to slowly varying uniformly distributed nonstationary Markov data.
- Publication:
-
IEEE Transactions on Communications
- Pub Date:
- October 1974
- Bibcode:
- 1974ITCom..22.1506D
- Keywords:
-
- Buffer Storage;
- Data Compression;
- Digital Systems;
- Markov Processes;
- Optimal Control;
- Root-Mean-Square Errors;
- Algorithms;
- Bandwidth;
- Computerized Simulation;
- Data Transmission;
- Iterative Solution;
- Performance Prediction;
- Transmission Efficiency;
- Communications and Radar