Multi-level run-length limited finite state machine with multi-penalty
Techniques are described for constructing maximum transition run (MTR) modulation code based upon a multi-level (ML) run-length limited (RLL) finite state machine (FSM) that implements different sets of penalties. A processor is configured to receive information from a hard disk drive (HDD) via a read channel and recover data from the HDD using MTR modulation code. A memory has computer executable instructions configured for execution by the processor to model a magnetic recording channel as a partial response channel, model a source of information to the magnetic recording channel to provide an optimized Markov source, and construct an MTR modulation code to mimic the optimized Markov source based upon an FSM having a limited transition run length and a multi-level periodic structure. The FSM provides at least two different sets of penalties in a period.
1. A system comprising:
a processor configured to receive information from a hard disk drive (HDD) via a read channel and recover data from the HDD using maximum transition run (MTR) modulation code; and
a memory having computer executable instructions stored thereon, the computer executable instructions configured for execution by the processor to:
model a magnetic recording channel as a partial response channel,
model a source of information to the magnetic recording channel to provide an optimized Markov source, and
construct an MTR modulation code to mimic the optimized Markov source based upon a finite state machine (FSM) having a limited transition run length and a multi-level periodic structure, the FSM providing at least two different sets of penalties in a period.
2. The system as recited in claim 1 , wherein the magnetic recording channel is modeled using data dependent autoregressive (AR) modeling.
3. The system as recited in claim 1 , wherein the multi-level periodic structure of the FSM has an output granularity of at least a block.
4. The system as recited in claim 1 , wherein a constraint of the FSM is loosened during a final time increment of the period.
5. The system as recited in claim 4 , wherein the constraint is loosened by lowering a group of connections by at least one level.
6. The system as recited in claim 1 , wherein a capacity of the FSM is greater than a code rate for the magnetic recording channel.
7. The system as recited in claim 1 , wherein a transition distribution of the FSM is at least substantially equal to a transition distribution of the optimized Markov source.
8. A non-transitory computer-readable storage medium having computer executable instructions configured to construct maximum transition run (MTR) modulation code, the computer executable instructions comprising:
modeling, by a processor, a source of information to a partial response channel to provide an optimized Markov source; and
constructing, by the processor, an MTR modulation code to mimic the optimized Markov source based upon a finite state machine (FSM) having a limited transition run length and a multi-level periodic structure, the FSM providing at least two different sets of penalties in a period.
9. The computer-readable storage medium as recited in claim 8 , wherein the partial response channel models a magnetic recording channel using data dependent autoregressive (AR) modeling.
10. The computer-readable storage medium as recited in claim 8 , wherein the multi-level periodic structure of the FSM has an output granularity of at least a block.
11. The computer-readable storage medium as recited in claim 8 , wherein a constraint of the FSM is loosened during a final time increment of the period.
12. The computer-readable storage medium as recited in claim 11 , wherein the constraint is loosened by lowering a group of connections by at least one level.
13. The computer-readable storage medium as recited in claim 8 , wherein a transition distribution of the FSM is at least substantially equal to a transition distribution of the optimized Markov source.
14. A computer-implemented method for recovering data from a hard disk drive (HDD), the computer-implemented method comprising:
modeling, by a processor, a magnetic recording channel as a partial response channel;
modeling, by the processor, a source of information to the magnetic recording channel to provide an optimized Markov source; and
causing the processor to construct an MTR modulation code to mimic the optimized Markov source based upon a finite state machine (FSM) having a limited transition run length and a multi-level periodic structure, the FSM providing at least two different sets of penalties in a period.
15. The computer-implemented method as recited in claim 14 , wherein the magnetic recording channel is modeled using data dependent autoregressive (AR) modeling.
16. The computer-implemented method as recited in claim 14 , wherein the multi-level periodic structure of the FSM has an output granularity of at least a block.
17. The computer-implemented method as recited in claim 14 , wherein a constraint of the FSM is loosened during a final time increment of the period.
18. The computer-implemented method as recited in claim 17 , wherein the constraint is loosened by lowering a group of connections by at least one level.
19. The computer-implemented method as recited in claim 14 , wherein a capacity of the FSM is greater than a code rate for the magnetic recording channel.
20. The computer-implemented method as recited in claim 14 , wherein a transition distribution of the FSM is at least substantially equal to a transition distribution of the optimized Markov source.