Title :
A new look at the informational gain of soft decisions
Author :
Lexa, Michael A. ; Johnson, Don H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Abstract :
The paper develops a new systematic method of studying the benefits of 2 bit soft decisions by applying the concepts of information processing theory. We quantify performance in terms of the information transfer ratio and demonstrate the performance gain over hard decision detectors in several noise environments. In addition, we show that likelihood ratio tests maximize the information transfer ratio, and we propose a method of optimizing threshold values for the 2 bit soft decision detector.
Keywords :
decision theory; signal detection; hard decision detectors; information processing theory; information transfer ratio maximization; informational gain; likelihood ratio tests; soft decisions; threshold value optimization; Detectors; Information processing; Optimization methods; Performance gain; Probability distribution; Probes; Signal processing; Signal to noise ratio; Testing; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1202531
