Sequential signal encoding and estimation for distributed sensor networks

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 4, Issue , 2001, Pages 2577-2580

  Abdallah, M M ^a   Papadopoulos, H C ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; ESTIMATION; KALMAN FILTERING; MATHEMATICAL MODELS; OPTIMIZATION; REGRESSION ANALYSIS; SENSORS; STATE SPACE METHODS;

BINARY SYMMETRIC CHANNELS; DISTRIBUTED SENSOR NETWORKS; SCALAR QUANTIZATION; SIGNAL ESTIMATION;

SIGNAL ENCODING;

EID: 0034842519     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Transmission of noisy information to a noisy receiver with minimum distortion
2. Efficient digital encoding and estimation of noisy signals
3. Sequential signal encoding from noisy measurements using quantizers with dynamic bias control
4. Maximum likelihood from incomplete data via the EM algorithm