Now showing items 1-5 of 5
A new look at the informational gain of soft decisions
This 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 ...
Broadcast Detection Structures with Applications to Sensor NetworksDistributed Structures, Sequential Optimization, and Quantization for Detection
Data broadcasting is potentially an effective and efficient way to share information in wireless sensor networks. Broadcasts offer energy savings over multiple, directed transmissions, and they provide a vehicle to exploit ...
Information processing of linear block decoders
This paper develops a systematic method of studying the benefits of soft decoding for linear block codes by applying the concepts of information processing. We show that soft decoding uniformly improves decoder performance ...
An Information processing approach to distributed detection
We apply the recent theory of information processing to a hybrid distributed detection architecture that combines the traditional parallel and tandem architectures. Central to this theory is the Kullback-Leibler discrimination ...
Optimizing binary decision systems by manipulating transmission intervals
We study the optimization of a binary decision system where quantized (soft) decisions are transmitted across an additive white Gaussian noise channel. We adjust the bit transmission intervals to maximize the Chernoff ...