摘要:
Reproduced signals are equalized by the least square technique by using a predetermined number of data samples binarized by a Viterbi decoder. Even when data written on an optical disk is unknown, the data can be equalized in a stable manner and can be reproduced at a low error rate without instability factors such as divergence due to interference.
摘要:
Reproduction signals include patterns for which recognition errors are likely. With respect to such patterns, probable error patterns are prepared. Tables showing correct patterns and error patterns are prepared, and evaluation values accurately representing signal quality are calculated. In an apparatus using a PRML method, discrimination data and a plurality of predetermined bit sequence pairs are examined to detect matching. A bit sequence and corresponding two ideal responses are calculated. Euclidean distances between the two ideal responses and equalization signals are obtained, and the difference between the Euclidean distances is further obtained. A quality evaluation value of a reproduction signal is calculated based on a mean value, a standard deviation, an appearance probability of the predetermined bit sequence, and a Hamming distance between the predetermined bit sequence pairs.
摘要:
According to one embodiment, a storage medium includes a burst cutting area at an inner periphery, wherein the burst cutting area has includes plural burst-cutting-area data areas.
摘要:
According to one embodiment, a storage medium includes a burst cutting area at an inner periphery, wherein the burst cutting area has includes plural burst-cutting-area data areas.
摘要:
According to one embodiment, a storage medium includes a burst cutting area at an inner periphery, wherein the burst cutting area has includes plural burst-cutting-area data areas.
摘要:
An evaluation method for calculating an identification signal by using PRML, comprises a table storing true patterns and ideal signals thereof, false patterns corresponding to the true patterns and ideal signals thereof, and Euclidean distance between the true pattern and the false pattern, a calculating unit, when a recording signal synchronized with an identification signal coincides with any pattern of the table, calculates a distance between Euclidean distance between the ideal signal of the true pattern and a reproduction signal and Euclidean distance between the ideal signal of the false pattern and a reproduction signal, and an evaluation unit which evaluates an identification signal by using an average and standard deviation of difference. A table for patterns is created for a likely mistaken pattern, whereby calculating an evaluation value with high precision, of a signal quality, with a small amount of calculation.
摘要:
Signal quality evaluation is performed using a predetermined reproduction signal, a first pattern corresponding to a signal waveform pattern of the reproduction signal, and a given pattern corresponding to the signal waveform pattern of the reproduction signal and being different from the first pattern.
摘要:
According to one embodiment, a storage medium includes a burst cutting area at an inner periphery, wherein the burst cutting area has includes plural burst-cutting-area data areas.
摘要:
According to one embodiment, a storage medium includes a burst cutting area at an inner periphery, wherein the burst cutting area has includes plural burst-cutting-area data areas.
摘要:
An evaluation method for calculating an identification signal by using PRML, comprises a table storing true patterns and ideal signals thereof, false patterns corresponding to the true patterns and ideal signals thereof, and Euclidean distance between the true pattern and the false pattern, a calculating unit, when a recording signal synchronized with an identification signal coincides with any pattern of the table, calculates a distance between Euclidean distance between the ideal signal of the true pattern and a reproduction signal and Euclidean distance between the ideal signal of the false pattern and a reproduction signal, and an evaluation unit which evaluates an identification signal by using an average and standard deviation of difference. A table for patterns is created for a likely mistaken pattern, whereby calculating an evaluation value with high precision, of a signal quality, with a small amount of calculation.