Method and apparatus for decoding the output signal of a partial-response communication or recording-device channel

    公开(公告)号:SG150594G

    公开(公告)日:1995-03-17

    申请号:SG150594

    申请日:1994-10-17

    Applicant: IBM

    Abstract: A maximum-likelihood sequence decoder is used with a partial-response signaling system for processing sequences of sampled values from a communication channel or recording device. The partial-response signals can be duobinary, dicode, or partial-response class-IV. The maximum-likelihood decoding for each sequence is based upon a two-state trellis. lnstead of two survivor metrics for the two states, only a difference metric is generated which is simpler but sufficient for the decoding process. The decoder comprises survivor metric determining circuitry (81...99) which, from each input sample (y n ) and a previous difference metric (DJ n - 3 ) determines a new difference metric (DJ n-1 ), two additional binary values (b + , b-) for the two survivor sequences, as well as a binary output value (b) for making a selection among the two survivor sequences.

    Method and apparatus for decoding the output signal of a partial-response communication or recording-device channel

    公开(公告)号:HK138294A

    公开(公告)日:1994-12-16

    申请号:HK138294

    申请日:1994-12-08

    Applicant: IBM

    Abstract: A maximum-likelihood sequence decoder is used with a partial-response signaling system for processing sequences of sampled values from a communication channel or recording device. The partial-response signals can be duobinary, dicode, or partial-response class-IV. The maximum-likelihood decoding for each sequence is based upon a two-state trellis. lnstead of two survivor metrics for the two states, only a difference metric is generated which is simpler but sufficient for the decoding process. The decoder comprises survivor metric determining circuitry (81...99) which, from each input sample (y n ) and a previous difference metric (DJ n - 3 ) determines a new difference metric (DJ n-1 ), two additional binary values (b + , b-) for the two survivor sequences, as well as a binary output value (b) for making a selection among the two survivor sequences.

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