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In recent years, due to the spread of multi-level nonvolatile memories (NVM), q-ary write-once memories (WOM) codes have been extensively studied. By using WOM codes, it is possible to rewrite NVMs t times before erasing the cells. The use of WOM codes enables to improve the performance of the storage device, however, it may also increase errors caused by(More)
For an array of memory cells that are read by threshold measurements, we ask the question of how to choose the measurements in the read sequence to minimize the number of measurements before the array is fully read. We propose and study analytically various adaptive read algorithms, and provide a corresponding lower bound on the average number of(More)
We present a constraint-coding scheme to correct large numbers of asymmetric magnitude-1 errors in multi-level non-volatile memories. The scheme is shown to deliver better correction capability compared to known alternatives, while admitting low-complexity of decoding. Our results include an algebraic formulation of the constraint, necessary and sufficient(More)
Multi-level memory cells are used in non-volatile memories in order to increase the storage density. Using multi-level cells, however, imposes higher read and write latencies limiting high speed applications. In this work we study the tradeoff between storage density and write/read performance using codes. The contributions are codes that give(More)
— We define multi-block interleaved codes as codes that allow reading information from either a small sub-block or from a larger full block. The former offers faster access, while the latter provides better reliability. We specify the correction capability of the sub-block code through its gap t from optimal minimum distance, and look to have full-block(More)
—We present a constraint-coding scheme to correct asymmetric magnitude-1 errors in multi-level non-volatile memories. For large numbers of such errors, the scheme is shown to deliver better correction capability compared to known alternatives , while admitting low-complexity of decoding. Our results include an algebraic formulation of the constraint,(More)
Seismic Unattended Ground Sensors (UGS) systems have a major role in the developing area of seismic signal processing, with applications mainly in security and surveillance systems. Identifying and localizing a potential threat is a preliminary requirement in such systems. Array processing based on measured time of arrivals or gain-ratio values is widely(More)
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