TY - GEN

T1 - On the Design of a Quantizer for Coded Systems

AU - Zehavi, E.

N1 - Place of conference:Israel

PY - 1991

Y1 - 1991

N2 - For any coded system the optimal decoder has to use a metric which
is proportional to the log likelihood-ratio of the channel. To simplify
the decoding process, the metric is required to have an additivity
property, and to take on values from a finite set which are not
always matched to the channel. The Generalized R, (GR) in this case is a function of the decoder set of memcs, the channel transition
probabilities, and the partition of the received signal space to finite
decision regions which is done by the quantizer. Here, an optimal
quantizer, in the sense of maximizing GR, under metric constraint
is derived. An iterative procedure for finding the optimal
quantization boundaries is introduced.

AB - For any coded system the optimal decoder has to use a metric which
is proportional to the log likelihood-ratio of the channel. To simplify
the decoding process, the metric is required to have an additivity
property, and to take on values from a finite set which are not
always matched to the channel. The Generalized R, (GR) in this case is a function of the decoder set of memcs, the channel transition
probabilities, and the partition of the received signal space to finite
decision regions which is done by the quantizer. Here, an optimal
quantizer, in the sense of maximizing GR, under metric constraint
is derived. An iterative procedure for finding the optimal
quantization boundaries is introduced.

UR - https://scholar.google.co.il/scholar?q=On++the++Design+of+a+Quantizer+for+Coded+Systems&btnG=&hl=en&as_sdt=0%2C5

M3 - Conference contribution

BT - Commsphere

ER -