Method and device for compressing and expanding data pattern
AssigneeAdvantest Corporation
InventorsMasahiro Ishida, Takahiro Yamaguchi, Marco Tilgner
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AssigneeAdvantest Corporation
InventorsMasahiro Ishida, Takahiro Yamaguchi, Marco Tilgner
Estimating the term…
There are provided methods each of which is for efficiently compressing a test pattern to be applied to an IC for testing. The number of data changes φ and a data entropy H of a pattern for each pin of an IC are obtained and then the test pattern is divided and the divided patterns are distributed to a block for φ that is equal to or less than a threshold value φM (φ<φM), a block for φ>φM and for H that is equal to or less than a threshold value HM (H<HM), and a block for H>HM (411). The block for φ<φM is compressed by a run length compressing method, the block for φ>φM and H<HM is compressed by the run length compressing method after application of Burrows wheeler transform, and the block for H>HM is compressed by an LZ compressing method.
A data compressing and expanding method for compressing an inputted data to a compressed data and for expanding the compressed data to an expanded data, wherein the inputted data has a uniform data type and is composed of a plurality of unit data sequences and the respective unit data sequences are different at least either in their data structures or statistical characteristics of data, said method including the steps of:
A data compressing and expanding method for compressing an inputted data to a compressed data and for expanding the compressed data to an expanded data, wherein the inputted data has a uniform data type and is composed of a plurality of unit data sequences and the respective unit data sequences are different at least either in their data structures or statistical characteristics of data, said method comprising the steps of:
A data compressing and expanding method for compressing an inputted data to a compressed data and for expanding the compressed data to an expanded data, wherein the inputted data has a uniform data type and is composed of a plurality of unit data sequences and the respective unit data sequences are different at least either in their data structures or statistical characteristics of data, said method comprising the steps of:
A data compressing and expanding method for compressing an inputted data to a compressed data and for expanding the compressed data to an expanded data, wherein the inputted data has a uniform data type and is composed of a plurality of unit data sequences and the respective unit data sequences are different at least either in their data structures or statistical characteristics of data, said method comprising the steps of:
A data compressing and expanding method for compressing an inputted data to a compressed data and for expanding the compressed data to an expanded data, wherein the inputted data has a uniform data type and is composed of a plurality of unit data sequences and the respective unit data sequences are different at least either in their data structures or statistical characteristics of data, said method comprising the steps of:
The data compressing method according to any one of claims 2, 5 and 13, further including the steps of:
The data compressing method according to any one of claims 2, 5 and 13, wherein
A data compressing and expanding method for compressing an inputted data to a compressed data and for expanding the compressed data, to an expanded data wherein the inputted data has a uniform data type and is composed of a plurality of unit data sequences and the respective unit data sequences are different at least either in their data structures or statistical characteristics of data, said method comprising the steps of:
A data expanding method for expanding an inputted compressed data which has a uniform data type and is composed of a plurality of compressed unit data sequences, the respective compressed unit data sequences being compressed by different compressing methods according to difference at least either in their data structures or statistical characteristics of data, said method comprising the steps of:
A data expanding method for expanding an inputted compressed data which has a uniform data type and is composed of a plurality of compressed unit data sequences, the respective compressed unit data sequences being compressed by different compressing methods according to difference at least either in their data structures or statistical characteristics of data, said method comprising the steps of:
The data expanding method according to 17, wherein
A test pattern compressing apparatus comprising
A test pattern compressing method including the steps of:
A test pattern compressing method includes the steps of:
A test pattern expanding apparatus comprising:
A test pattern expanding method including the steps of:
A test pattern compressing and expanding apparatus comprising:
A test pattern compressing and expanding method including the steps of:
A test pattern compressing and expanding method including the steps of:
A test pattern compressing apparatus comprising:
A data expanding method for expanding an inputted compressed data which has a uniform data type and is composed of a plurality of compressed unit data sequences, the respective compressed unit data sequences being compressed by different compressing methods according to difference at least either in their data structures or statistical characteristics of data, said method comprising the steps of:
A data compressing and expanding method for compressing an inputted data to a compressed data and for expanding the compressed data to an expanded data, wherein the inputted data has a uniform data type and is composed of a plurality of unit data sequences and the respective unit data sequences are different at least either in their data structures or statistical characteristics of data, said method comprising the steps of:
A data compressing and expanding method for compressing an inputted data to a compressed data and for expanding the compressed data to an expanded data, wherein the inputted data has a uniform data type and is composed of a plurality of unit data sequences and the respective unit data sequences are different at least either in their data structures or statistical characteristics of data, said method comprising the steps of:
Dependencies are inferred from the claim text.