"Any-time" capacity and A separation theorem for tracking unstable processes

IEEE International Symposium on Information Theory - Proceedings

Volumn , Issue , 2000, Pages 500-

  Sahai, A ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE WHITE GAUSSIAN NOISE; NOISY CHANNEL; SEPARATION THEOREM; SHANNON CAPACITY; ZERO ERROR CAPACITY;

COMMUNICATION CHANNELS (INFORMATION THEORY); ERROR ANALYSIS; GAUSSIAN NOISE (ELECTRONIC); PARAMETER ESTIMATION; RANDOM PROCESSES; SIGNAL DISTORTION; SIGNAL NOISE MEASUREMENT; THEOREM PROVING; WHITE NOISE;

CHANNEL CAPACITY;

EID: 0034449824     PISSN: 21578095     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. State estimation with a finite data rate
2. Control of LQG systems under communication constraints
3. Evaluating channels for control: Capacity reconsidered
4. Any-time information theory
5. Control under communication constraints
6. Control of LQG systems under communication constraints
7. The source-channel separation theorem revisited