Abstract: Several embodiments of memory devices and systems with walking read level calibration are disclosed herein. In one embodiment, a system includes a memory component having at least one memory region and calibration circuitry. The memory region has memory cells that read out data states in response to application of a current read level signal. The calibration circuitry is operably coupled to the at least one memory region and is configured to perform iterative calibrations of the memory region by determining a first read level offset value during a first calibration. A new base read level test signal is determined based on the first read level offset value. During a second calibration using the new base read level test signal, a second read level offset value is determined.

Abstract: A system uses multi-level encoding where each symbol of a plurality of symbols represents more than one bit of information in a user data symbol stream for transfer using a multilevel transmission channel. The user data symbols are represented in a digital bitwise form such that each symbol is presented as a plurality of bits and each bit is subject to a different probability of error. An error correction procedure is applied based on the different error probability that is associated with each bit in the plurality. The channel can be configured to support a mosaic tile structure, each tile containing a channel symbol such that a selected tile has a collective error probability that is different from other tiles. Customized coding can be applied to the tile structure to allocate a selected amount of error correction power to the selected tile based on an overall available correction power.

Abstract: An embodiment providing one or more improvements includes a memory loading system and method for at least managing testing of a memory unit using a memory test system and responsive to at least completion of testing and passing the testing, loading non-testing content into the memory unit for delivery to a customer.

Abstract: Apparatuses and methods for soft read threshold location calibration are provided. One example method can include selecting read threshold sets (RTSs), and determining log-likelihood-ratios (LLRs) based on a number of decisions that correspond to each bin associated with the selected RTSs. Low-density parity-check (LDPC) codewords are decoded using the determined LLRs, and a RTS of the RTSs yielding a least number of failed codewords decoded using the determined LLRs is identified.

Abstract: Apparatuses and methods for soft read threshold location calibration are provided. One example method can include selecting read threshold sets (RTSs), and determining log-likelihood-ratios (LLRs) based on a number of decisions that correspond to each bin associated with the selected RTSs. Low-density parity-check (LDPC) codewords are decoded using the determined LLRs, and a RTS of the RTSs yielding a least number of failed codewords decoded using the determined LLRs is identified.

Abstract: Apparatuses and methods for soft read threshold location calibration are provided. One example method can include selecting read threshold sets (RTSs), and determining log-likelihood-ratios (LLRs) based on a number of decisions that correspond to each bin associated with the selected RTSs. Low-density parity-check (LDPC) codewords are decoded using the determined LLRs, and a RTS of the RTSs yielding a least number of failed codewords decoded using the determined LLRs is identified.

Abstract: A system uses multi-level encoding where each symbol of a plurality of symbols represents more than one bit of information in a user data symbol stream for transfer using a multilevel transmission channel. The user data symbols are represented in a digital bitwise form such that each symbol is presented as a plurality of bits and each bit is subject to a different probability of error. An error correction procedure is applied based on the different error probability that is associated with each bit in the plurality. The channel can be configured to support a mosaic tile structure, each tile containing a channel symbol such that a selected tile has a collective error probability that is different from other tiles. Customized coding can be applied to the tile structure to allocate a selected amount of error correction power to the selected tile based on an overall available correction power.

Abstract: Apparatuses and methods for soft read threshold location calibration are provided. One example method can include selecting read threshold sets (RTSs), and determining log-likelihood-ratios (LLRs) based on a number of decisions that correspond to each bin associated with the selected RTSs. Low-density parity-check (LDPC) codewords are decoded using the determined LLRs, and a RTS of the RTSs yielding a least number of failed codewords decoded using the determined LLRs is identified.

Abstract: A system uses multi-level encoding where each symbol of a plurality of symbols represents more than one bit of information in a user data symbol stream for transfer using a multilevel transmission channel. The user data symbols are represented in a digital bitwise form such that each symbol is presented as a plurality of bits and each bit is subject to a different probability of error. An error correction procedure is applied based on the different error probability that is associated with each bit in the plurality. The channel can be configured to support a mosaic tile structure, each tile containing a channel symbol such that a selected tile has a collective error probability that is different from other tiles. Customized coding can be applied to the tile structure to allocate a selected amount of error correction power to the selected tile based on an overall available correction power.

Abstract: Apparatuses and methods for soft read threshold location calibration are provided. One example method can include selecting read threshold sets (RTSs), and determining log-likelihood-ratios (LLRs) based on a number of decisions that correspond to each bin associated with the selected RTSs. Low-density parity-check (LDPC) codewords are decoded using the determined LLRs, and a RTS of the RTSs yielding a least number of failed codewords decoded using the determined LLRs is identified.

Abstract: An embodiment providing one or more improvements includes a memory loading system and method for at least managing testing of a memory unit using a memory test system and responsive to at least completion of testing and passing the testing, loading non-testing content into the memory unit for delivery to a customer.

Abstract: In one embodiment, an encoder reads a set of data from memory cells to obtain retrieved data influenced by one or more distortion mechanisms as a result of having been stored. A quality metric is generated responsive to the retrieved data that changes in value responsive to differences between the user data and the associated retrieved data. A quality monitor establishes a relationship between a current value of the quality metric and a threshold value and monitors the relationship as being indicative of a degradation of the quality of the retrieved data, and selectively initiates an error response. In another embodiment, a correction value is iterated through a set of values as a quality metric is monitored such that the value of the quality metric which most closely approaches the value of the quality metric immediately subsequent to an initial writing of the data can be selected.

Abstract: An embodiment providing one or more improvements includes a memory loading system and method for at least managing testing of a memory unit using a memory test system and responsive to at least completion of testing and passing the testing, loading non-testing content into the memory unit for delivery to a customer.

Abstract: Apparatuses and methods for soft read threshold location calibration are provided. One example method can include selecting read threshold sets (RTSs), and determining log-likelihood-ratios (LLRs) based on a number of decisions that correspond to each bin associated with the selected RTSs. Low-density parity-check (LDPC) codewords are decoded using the determined LLRs, and a RTS of the RTSs yielding a least number of failed codewords decoded using the determined LLRs is identified.

Abstract: In one embodiment, an encoder reads a set of data from memory cells to obtain retrieved data influenced by one or more distortion mechanisms as a result of having been stored. A quality metric is generated responsive to the retrieved data that changes in value responsive to differences between the user data and the associated retrieved data. A quality monitor establishes a relationship between a current value of the quality metric and a threshold value and monitors the relationship as being indicative of a degradation of the quality of the retrieved data, and selectively initiates an error response. In another embodiment, a correction value is iterated through a set of values as a quality metric is monitored such that the value of the quality metric which most closely approaches the value of the quality metric immediately subsequent to an initial writing of the data can be selected.

Abstract: In one embodiment, an encoder reads a set of data from memory cells to obtain retrieved data influenced by one or more distortion mechanisms as a result of having been stored. A quality metric is generated responsive to the retrieved data that changes in value responsive to differences between the user data and the associated retrieved data. A quality monitor establishes a relationship between a current value of the quality metric and a threshold value and monitors the relationship as being indicative of a degradation of the quality of the retrieved data, and selectively initiates an error response. In another embodiment, a correction value is iterated through a set of values as a quality metric is monitored such that the value of the quality metric which most closely approaches the value of the quality metric immediately subsequent to an initial writing of the data can be selected.

Abstract: A system uses multi-level encoding where each symbol of a plurality of symbols represents more than one bit of information in a user data symbol stream for transfer using a multilevel transmission channel. The user data symbols are represented in a digital bitwise form such that each symbol is presented as a plurality of bits and each bit is subject to a different probability of error. An error correction procedure is applied based on the different error probability that is associated with each bit in the plurality. The channel can be configured to support a mosaic tile structure, each tile containing a channel symbol such that a selected tile has a collective error probability that is different from other tiles. Customized coding can be applied to the tile structure to allocate a selected amount of error correction power to the selected tile based on an overall available correction power.

Abstract: A system uses multi-level encoding where each symbol of a plurality of symbols represents more than one bit of information in a user data symbol stream for transfer using a multilevel transmission channel. The user data symbols are represented in a digital bitwise form such that each symbol is presented as a plurality of bits and each bit is subject to a different probability of error. An error correction procedure is applied based on the different error probability that is associated with each bit in the plurality. The channel can be configured to support a mosaic tile structure, each tile containing a channel symbol such that a selected tile has a collective error probability that is different from other tiles. Customized coding can be applied to the tile structure to allocate a selected amount of error correction power to the selected tile based on an overall available correction power.

Abstract: In one embodiment, an encoder reads a set of data from memory cells to obtain retrieved data influenced by one or more distortion mechanisms as a result of having been stored. A quality metric is generated responsive to the retrieved data that changes in value responsive to differences between the user data and the associated retrieved data. A quality monitor establishes a relationship between a current value of the quality metric and a threshold value and monitors the relationship as being indicative of a degradation of the quality of the retrieved data, and selectively initiates an error response. In another embodiment, a correction value is iterated through a set of values as a quality metric is monitored such that the value of the quality metric which most closely approaches the value of the quality metric immediately subsequent to an initial writing of the data can be selected.

Abstract: In one embodiment, an encoder reads a set of data from memory cells to obtain retrieved data influenced by one or more distortion mechanisms as a result of having been stored. A quality metric is generated responsive to the retrieved data that changes in value responsive to differences between the user data and the associated retrieved data. A quality monitor establishes a relationship between a current value of the quality metric and a threshold value and monitors the relationship as being indicative of a degradation of the quality of the retrieved data, and selectively initiates an error response. In another embodiment, a correction value is iterated through a set of values as a quality metric is monitored such that the value of the quality metric which most closely approaches the value of the quality metric immediately subsequent to an initial writing of the data can be selected.